Kinetica C# API  Version 7.0.19.0
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kinetica.Kinetica Class Reference

API to talk to Kinetica Database More...

Classes

class  Options
 Connection Options More...
 

Public Member Functions

 Kinetica (string url_str, Options options=null)
 API Constructor More...
 
void AddTableType (string table_name, Type obj_type)
 Given a table name, add its record type to enable proper encoding of records for insertion or updates. More...
 
void SetKineticaSourceClassToTypeMapping (Type objectType, KineticaType kineticaType)
 Saves an object class type to a KineticaType association. More...
 
void DecodeRawBinaryDataUsingRecordType< T > (KineticaType record_type, IList< byte[]> records_binary, IList< T > records)
 Given a KineticaType object for a certain record type, decode binary data into distinct records (objects). More...
 
void DecodeRawBinaryDataUsingSchemaString< T > (string schema_string, IList< byte[]> records_binary, IList< T > records)
 Given a schema string for a certain record type, decode binary data into distinct records (objects). More...
 
void DecodeRawBinaryDataUsingSchemaString< T > (IList< string > schema_strings, IList< IList< byte[]>> lists_records_binary, IList< IList< T >> record_lists)
 Given a list of schema strings, decode binary data into distinct records (objects). More...
 
void DecodeRawBinaryDataUsingTypeIDs< T > (IList< string > type_ids, IList< byte[]> records_binary, IList< T > records)
 Given IDs of records types registered with Kinetica, decode binary data into distinct records (objects). More...
 
void DecodeRawBinaryDataUsingTypeIDs< T > (IList< string > type_ids, IList< IList< byte[]>> lists_records_binary, IList< IList< T >> record_lists)
 Given IDs of records types registered with Kinetica, decode binary data into distinct records (objects). More...
 
AdminAddRanksResponse adminAddRanks (AdminAddRanksRequest request_)
 Add one or more new ranks to the Kinetica cluster. More...
 
AdminAddRanksResponse adminAddRanks (IList< string > hosts, IList< IDictionary< string, string >> config_params, IDictionary< string, string > options=null)
 Add one or more new ranks to the Kinetica cluster. More...
 
AdminAlterJobsResponse adminAlterJobs (AdminAlterJobsRequest request_)
 Perform the requested action on a list of one or more job(s). More...
 
AdminAlterJobsResponse adminAlterJobs (IList< long > job_ids, string action, IDictionary< string, string > options=null)
 Perform the requested action on a list of one or more job(s). More...
 
AdminOfflineResponse adminOffline (AdminOfflineRequest request_)
 Take the system offline. More...
 
AdminOfflineResponse adminOffline (bool offline, IDictionary< string, string > options=null)
 Take the system offline. More...
 
AdminRebalanceResponse adminRebalance (AdminRebalanceRequest request_)
 Rebalance the cluster so that all the nodes contain approximately an equal number of records. More...
 
AdminRebalanceResponse adminRebalance (IDictionary< string, string > options=null)
 Rebalance the cluster so that all the nodes contain approximately an equal number of records. More...
 
AdminRemoveRanksResponse adminRemoveRanks (AdminRemoveRanksRequest request_)
 Remove one or more ranks from the cluster. More...
 
AdminRemoveRanksResponse adminRemoveRanks (IList< int > ranks, IDictionary< string, string > options=null)
 Remove one or more ranks from the cluster. More...
 
AdminShowAlertsResponse adminShowAlerts (AdminShowAlertsRequest request_)
 Requests a list of the most recent alerts. More...
 
AdminShowAlertsResponse adminShowAlerts (int num_alerts, IDictionary< string, string > options=null)
 Requests a list of the most recent alerts. More...
 
AdminShowClusterOperationsResponse adminShowClusterOperations (AdminShowClusterOperationsRequest request_)
 Requests the detailed status of the current operation (by default) or a prior cluster operation specified by . More...
 
AdminShowClusterOperationsResponse adminShowClusterOperations (int history_index=0, IDictionary< string, string > options=null)
 Requests the detailed status of the current operation (by default) or a prior cluster operation specified by history_index . More...
 
AdminShowJobsResponse adminShowJobs (AdminShowJobsRequest request_)
 Get a list of the current jobs in GPUdb. More...
 
AdminShowJobsResponse adminShowJobs (IDictionary< string, string > options=null)
 Get a list of the current jobs in GPUdb. More...
 
AdminShowShardsResponse adminShowShards (AdminShowShardsRequest request_)
 Show the mapping of shards to the corresponding rank and tom. More...
 
AdminShowShardsResponse adminShowShards (IDictionary< string, string > options=null)
 Show the mapping of shards to the corresponding rank and tom. More...
 
AdminShutdownResponse adminShutdown (AdminShutdownRequest request_)
 Exits the database server application. More...
 
AdminShutdownResponse adminShutdown (string exit_type, string authorization, IDictionary< string, string > options=null)
 Exits the database server application. More...
 
AdminVerifyDbResponse adminVerifyDb (AdminVerifyDbRequest request_)
 Verify database is in a consistent state. More...
 
AdminVerifyDbResponse adminVerifyDb (IDictionary< string, string > options=null)
 Verify database is in a consistent state. More...
 
AggregateConvexHullResponse aggregateConvexHull (AggregateConvexHullRequest request_)
 Calculates and returns the convex hull for the values in a table specified by . More...
 
AggregateConvexHullResponse aggregateConvexHull (string table_name, string x_column_name, string y_column_name, IDictionary< string, string > options=null)
 Calculates and returns the convex hull for the values in a table specified by table_name . More...
 
AggregateGroupByResponse aggregateGroupBy (AggregateGroupByRequest request_)
 Calculates unique combinations (groups) of values for the given columns in a given table or view and computes aggregates on each unique combination. More...
 
AggregateGroupByResponse aggregateGroupBy (string table_name, IList< string > column_names, long offset=0, long limit=-9999, IDictionary< string, string > options=null)
 Calculates unique combinations (groups) of values for the given columns in a given table or view and computes aggregates on each unique combination. More...
 
AggregateHistogramResponse aggregateHistogram (AggregateHistogramRequest request_)
 Performs a histogram calculation given a table, a column, and an interval function. More...
 
AggregateHistogramResponse aggregateHistogram (string table_name, string column_name, double start, double end, double interval, IDictionary< string, string > options=null)
 Performs a histogram calculation given a table, a column, and an interval function. More...
 
AggregateKMeansResponse aggregateKMeans (AggregateKMeansRequest request_)
 This endpoint runs the k-means algorithm - a heuristic algorithm that attempts to do k-means clustering. More...
 
AggregateKMeansResponse aggregateKMeans (string table_name, IList< string > column_names, int k, double tolerance, IDictionary< string, string > options=null)
 This endpoint runs the k-means algorithm - a heuristic algorithm that attempts to do k-means clustering. More...
 
AggregateMinMaxResponse aggregateMinMax (AggregateMinMaxRequest request_)
 Calculates and returns the minimum and maximum values of a particular column in a table. More...
 
AggregateMinMaxResponse aggregateMinMax (string table_name, string column_name, IDictionary< string, string > options=null)
 Calculates and returns the minimum and maximum values of a particular column in a table. More...
 
AggregateMinMaxGeometryResponse aggregateMinMaxGeometry (AggregateMinMaxGeometryRequest request_)
 Calculates and returns the minimum and maximum x- and y-coordinates of a particular geospatial geometry column in a table. More...
 
AggregateMinMaxGeometryResponse aggregateMinMaxGeometry (string table_name, string column_name, IDictionary< string, string > options=null)
 Calculates and returns the minimum and maximum x- and y-coordinates of a particular geospatial geometry column in a table. More...
 
AggregateStatisticsResponse aggregateStatistics (AggregateStatisticsRequest request_)
 Calculates the requested statistics of the given column(s) in a given table. More...
 
AggregateStatisticsResponse aggregateStatistics (string table_name, string column_name, string stats, IDictionary< string, string > options=null)
 Calculates the requested statistics of the given column(s) in a given table. More...
 
AggregateStatisticsByRangeResponse aggregateStatisticsByRange (AggregateStatisticsByRangeRequest request_)
 Divides the given set into bins and calculates statistics of the values of a value-column in each bin. More...
 
AggregateStatisticsByRangeResponse aggregateStatisticsByRange (string table_name, string select_expression, string column_name, string value_column_name, string stats, double start, double end, double interval, IDictionary< string, string > options=null)
 Divides the given set into bins and calculates statistics of the values of a value-column in each bin. More...
 
AggregateUniqueResponse aggregateUnique (AggregateUniqueRequest request_)
 Returns all the unique values from a particular column (specified by ) of a particular table or view (specified by ). More...
 
AggregateUniqueResponse aggregateUnique (string table_name, string column_name, long offset=0, long limit=-9999, IDictionary< string, string > options=null)
 Returns all the unique values from a particular column (specified by column_name ) of a particular table or view (specified by table_name ). More...
 
AggregateUnpivotResponse aggregateUnpivot (AggregateUnpivotRequest request_)
 Rotate the column values into rows values. More...
 
AggregateUnpivotResponse aggregateUnpivot (string table_name, IList< string > column_names, string variable_column_name, string value_column_name, IList< string > pivoted_columns, IDictionary< string, string > options=null)
 Rotate the column values into rows values. More...
 
AlterResourceGroupResponse alterResourceGroup (AlterResourceGroupRequest request_)
 Alters the properties of an exisiting resource group to facilitate resource management. More...
 
AlterResourceGroupResponse alterResourceGroup (string name, IDictionary< string, IDictionary< string, string >> tier_attributes=null, string ranking=AlterResourceGroupRequest.Ranking.EMPTY_STRING, string adjoining_resource_group="", IDictionary< string, string > options=null)
 Alters the properties of an exisiting resource group to facilitate resource management. More...
 
AlterRoleResponse alterRole (AlterRoleRequest request_)
 Alters a Role. More...
 
AlterRoleResponse alterRole (string name, string action, string _value, IDictionary< string, string > options=null)
 Alters a Role. More...
 
AlterSystemPropertiesResponse alterSystemProperties (AlterSystemPropertiesRequest request_)
 The Kinetica.alterSystemProperties(IDictionary{string, string},IDictionary{string, string}) endpoint is primarily used to simplify the testing of the system and is not expected to be used during normal execution. More...
 
AlterSystemPropertiesResponse alterSystemProperties (IDictionary< string, string > property_updates_map, IDictionary< string, string > options=null)
 The Kinetica.alterSystemProperties(IDictionary{string, string},IDictionary{string, string}) endpoint is primarily used to simplify the testing of the system and is not expected to be used during normal execution. More...
 
AlterTableResponse alterTable (AlterTableRequest request_)
 Apply various modifications to a table, view, or collection. More...
 
AlterTableResponse alterTable (string table_name, string action, string _value, IDictionary< string, string > options=null)
 Apply various modifications to a table, view, or collection. More...
 
AlterTableColumnsResponse alterTableColumns (AlterTableColumnsRequest request_)
 Apply various modifications to columns in a table, view. More...
 
AlterTableColumnsResponse alterTableColumns (string table_name, IList< IDictionary< string, string >> column_alterations, IDictionary< string, string > options)
 Apply various modifications to columns in a table, view. More...
 
AlterTableMetadataResponse alterTableMetadata (AlterTableMetadataRequest request_)
 Updates (adds or changes) metadata for tables. More...
 
AlterTableMetadataResponse alterTableMetadata (IList< string > table_names, IDictionary< string, string > metadata_map, IDictionary< string, string > options=null)
 Updates (adds or changes) metadata for tables. More...
 
AlterTierResponse alterTier (AlterTierRequest request_)
 Alters properties of an exisiting tier to facilitate resource management. More...
 
AlterTierResponse alterTier (string name, IDictionary< string, string > options=null)
 Alters properties of an exisiting tier to facilitate resource management. More...
 
AlterUserResponse alterUser (AlterUserRequest request_)
 Alters a user. More...
 
AlterUserResponse alterUser (string name, string action, string _value, IDictionary< string, string > options=null)
 Alters a user. More...
 
AppendRecordsResponse appendRecords (AppendRecordsRequest request_)
 Append (or insert) all records from a source table (specified by ) to a particular target table (specified by ). More...
 
AppendRecordsResponse appendRecords (string table_name, string source_table_name, IDictionary< string, string > field_map, IDictionary< string, string > options=null)
 Append (or insert) all records from a source table (specified by source_table_name ) to a particular target table (specified by table_name ). More...
 
ClearStatisticsResponse clearStatistics (ClearStatisticsRequest request_)
 Clears statistics (cardinality, mean value, etc.) for a column in a specified table. More...
 
ClearStatisticsResponse clearStatistics (string table_name="", string column_name="", IDictionary< string, string > options=null)
 Clears statistics (cardinality, mean value, etc.) for a column in a specified table. More...
 
ClearTableResponse clearTable (ClearTableRequest request_)
 Clears (drops) one or all tables in the database cluster. More...
 
ClearTableResponse clearTable (string table_name="", string authorization="", IDictionary< string, string > options=null)
 Clears (drops) one or all tables in the database cluster. More...
 
ClearTableMonitorResponse clearTableMonitor (ClearTableMonitorRequest request_)
 Deactivates a table monitor previously created with Kinetica.createTableMonitor(string,IDictionary{string, string}). More...
 
ClearTableMonitorResponse clearTableMonitor (string topic_id, IDictionary< string, string > options=null)
 Deactivates a table monitor previously created with Kinetica.createTableMonitor(string,IDictionary{string, string}). More...
 
ClearTriggerResponse clearTrigger (ClearTriggerRequest request_)
 Clears or cancels the trigger identified by the specified handle. More...
 
ClearTriggerResponse clearTrigger (string trigger_id, IDictionary< string, string > options=null)
 Clears or cancels the trigger identified by the specified handle. More...
 
CollectStatisticsResponse collectStatistics (CollectStatisticsRequest request_)
 Collect statistics for a column(s) in a specified table. More...
 
CollectStatisticsResponse collectStatistics (string table_name, IList< string > column_names, IDictionary< string, string > options=null)
 Collect statistics for a column(s) in a specified table. More...
 
CreateGraphResponse createGraph (CreateGraphRequest request_)
 Creates a new graph network using given nodes, edges, weights, and restrictions. More...
 
CreateGraphResponse createGraph (string graph_name, bool directed_graph, IList< string > nodes, IList< string > edges, IList< string > weights, IList< string > restrictions, IDictionary< string, string > options=null)
 Creates a new graph network using given nodes, edges, weights, and restrictions. More...
 
CreateJobResponse createJob (CreateJobRequest request_)
 Create a job which will run asynchronously. More...
 
CreateJobResponse createJob (string endpoint, string request_encoding, byte[] data, string data_str, IDictionary< string, string > options=null)
 Create a job which will run asynchronously. More...
 
CreateJoinTableResponse createJoinTable (CreateJoinTableRequest request_)
 Creates a table that is the result of a SQL JOIN. More...
 
CreateJoinTableResponse createJoinTable (string join_table_name, IList< string > table_names, IList< string > column_names, IList< string > expressions=null, IDictionary< string, string > options=null)
 Creates a table that is the result of a SQL JOIN. More...
 
CreateMaterializedViewResponse createMaterializedView (CreateMaterializedViewRequest request_)
 Initiates the process of creating a materialized view, reserving the view's name to prevent other views or tables from being created with that name. More...
 
CreateMaterializedViewResponse createMaterializedView (string table_name, IDictionary< string, string > options=null)
 Initiates the process of creating a materialized view, reserving the view's name to prevent other views or tables from being created with that name. More...
 
CreateProcResponse createProc (CreateProcRequest request_)
 Creates an instance (proc) of the user-defined function (UDF) specified by the given command, options, and files, and makes it available for execution. More...
 
CreateProcResponse createProc (string proc_name, string execution_mode=CreateProcRequest.ExecutionMode.DISTRIBUTED, IDictionary< string, byte[]> files=null, string command="", IList< string > args=null, IDictionary< string, string > options=null)
 Creates an instance (proc) of the user-defined function (UDF) specified by the given command, options, and files, and makes it available for execution. More...
 
CreateProjectionResponse createProjection (CreateProjectionRequest request_)
 Creates a new projection of an existing table. More...
 
CreateProjectionResponse createProjection (string table_name, string projection_name, IList< string > column_names, IDictionary< string, string > options=null)
 Creates a new projection of an existing table. More...
 
CreateResourceGroupResponse createResourceGroup (CreateResourceGroupRequest request_)
 Creates a new resource group to facilitate resource management. More...
 
CreateResourceGroupResponse createResourceGroup (string name, IDictionary< string, IDictionary< string, string >> tier_attributes, string ranking, string adjoining_resource_group="", IDictionary< string, string > options=null)
 Creates a new resource group to facilitate resource management. More...
 
CreateRoleResponse createRole (CreateRoleRequest request_)
 Creates a new role. More...
 
CreateRoleResponse createRole (string name, IDictionary< string, string > options=null)
 Creates a new role. More...
 
CreateTableResponse createTable (CreateTableRequest request_)
 Creates a new table or collection. More...
 
CreateTableResponse createTable (string table_name, string type_id, IDictionary< string, string > options=null)
 Creates a new table or collection. More...
 
CreateTableMonitorResponse createTableMonitor (CreateTableMonitorRequest request_)
 Creates a monitor that watches for a single table modification event type (insert, update, or delete) on a particular table (identified by ) and forwards event notifications to subscribers via ZMQ. More...
 
CreateTableMonitorResponse createTableMonitor (string table_name, IDictionary< string, string > options=null)
 Creates a monitor that watches for a single table modification event type (insert, update, or delete) on a particular table (identified by table_name ) and forwards event notifications to subscribers via ZMQ. More...
 
CreateTriggerByAreaResponse createTriggerByArea (CreateTriggerByAreaRequest request_)
 Sets up an area trigger mechanism for two column_names for one or more tables. More...
 
CreateTriggerByAreaResponse createTriggerByArea (string request_id, IList< string > table_names, string x_column_name, IList< double > x_vector, string y_column_name, IList< double > y_vector, IDictionary< string, string > options=null)
 Sets up an area trigger mechanism for two column_names for one or more tables. More...
 
CreateTriggerByRangeResponse createTriggerByRange (CreateTriggerByRangeRequest request_)
 Sets up a simple range trigger for a column_name for one or more tables. More...
 
CreateTriggerByRangeResponse createTriggerByRange (string request_id, IList< string > table_names, string column_name, double min, double max, IDictionary< string, string > options=null)
 Sets up a simple range trigger for a column_name for one or more tables. More...
 
CreateTypeResponse createType (CreateTypeRequest request_)
 Creates a new type describing the layout or schema of a table. More...
 
CreateTypeResponse createType (string type_definition, string label, IDictionary< string, IList< string >> properties=null, IDictionary< string, string > options=null)
 Creates a new type describing the layout or schema of a table. More...
 
CreateUnionResponse createUnion (CreateUnionRequest request_)
 Merges data from one or more tables with comparable data types into a new table. More...
 
CreateUnionResponse createUnion (string table_name, IList< string > table_names, IList< IList< string >> input_column_names, IList< string > output_column_names, IDictionary< string, string > options=null)
 Merges data from one or more tables with comparable data types into a new table. More...
 
CreateUserExternalResponse createUserExternal (CreateUserExternalRequest request_)
 Creates a new external user (a user whose credentials are managed by an external LDAP). More...
 
CreateUserExternalResponse createUserExternal (string name, IDictionary< string, string > options=null)
 Creates a new external user (a user whose credentials are managed by an external LDAP). More...
 
CreateUserInternalResponse createUserInternal (CreateUserInternalRequest request_)
 Creates a new internal user (a user whose credentials are managed by the database system). More...
 
CreateUserInternalResponse createUserInternal (string name, string password, IDictionary< string, string > options=null)
 Creates a new internal user (a user whose credentials are managed by the database system). More...
 
DeleteGraphResponse deleteGraph (DeleteGraphRequest request_)
 Deletes an existing graph from the graph server and/or persist. More...
 
DeleteGraphResponse deleteGraph (string graph_name, IDictionary< string, string > options=null)
 Deletes an existing graph from the graph server and/or persist. More...
 
DeleteProcResponse deleteProc (DeleteProcRequest request_)
 Deletes a proc. More...
 
DeleteProcResponse deleteProc (string proc_name, IDictionary< string, string > options=null)
 Deletes a proc. More...
 
DeleteRecordsResponse deleteRecords (DeleteRecordsRequest request_)
 Deletes record(s) matching the provided criteria from the given table. More...
 
DeleteRecordsResponse deleteRecords (string table_name, IList< string > expressions, IDictionary< string, string > options=null)
 Deletes record(s) matching the provided criteria from the given table. More...
 
DeleteResourceGroupResponse deleteResourceGroup (DeleteResourceGroupRequest request_)
 Deletes a resource group. More...
 
DeleteResourceGroupResponse deleteResourceGroup (string name, IDictionary< string, string > options=null)
 Deletes a resource group. More...
 
DeleteRoleResponse deleteRole (DeleteRoleRequest request_)
 Deletes an existing role. More...
 
DeleteRoleResponse deleteRole (string name, IDictionary< string, string > options=null)
 Deletes an existing role. More...
 
DeleteUserResponse deleteUser (DeleteUserRequest request_)
 Deletes an existing user. More...
 
DeleteUserResponse deleteUser (string name, IDictionary< string, string > options=null)
 Deletes an existing user. More...
 
ExecuteProcResponse executeProc (ExecuteProcRequest request_)
 Executes a proc. More...
 
ExecuteProcResponse executeProc (string proc_name, IDictionary< string, string > _params=null, IDictionary< string, byte[]> bin_params=null, IList< string > input_table_names=null, IDictionary< string, IList< string >> input_column_names=null, IList< string > output_table_names=null, IDictionary< string, string > options=null)
 Executes a proc. More...
 
ExecuteSqlResponse executeSql (ExecuteSqlRequest request_)
 SQL Request More...
 
ExecuteSqlResponse executeSql (string statement, long offset=0, long limit=-9999, string request_schema_str="", IList< byte[]> data=null, IDictionary< string, string > options=null)
 SQL Request More...
 
FilterResponse filter (FilterRequest request_)
 Filters data based on the specified expression. More...
 
FilterResponse filter (string table_name, string view_name, string expression, IDictionary< string, string > options=null)
 Filters data based on the specified expression. More...
 
FilterByAreaResponse filterByArea (FilterByAreaRequest request_)
 Calculates which objects from a table are within a named area of interest (NAI/polygon). More...
 
FilterByAreaResponse filterByArea (string table_name, string view_name, string x_column_name, IList< double > x_vector, string y_column_name, IList< double > y_vector, IDictionary< string, string > options=null)
 Calculates which objects from a table are within a named area of interest (NAI/polygon). More...
 
FilterByAreaGeometryResponse filterByAreaGeometry (FilterByAreaGeometryRequest request_)
 Calculates which geospatial geometry objects from a table intersect a named area of interest (NAI/polygon). More...
 
FilterByAreaGeometryResponse filterByAreaGeometry (string table_name, string view_name, string column_name, IList< double > x_vector, IList< double > y_vector, IDictionary< string, string > options=null)
 Calculates which geospatial geometry objects from a table intersect a named area of interest (NAI/polygon). More...
 
FilterByBoxResponse filterByBox (FilterByBoxRequest request_)
 Calculates how many objects within the given table lie in a rectangular box. More...
 
FilterByBoxResponse filterByBox (string table_name, string view_name, string x_column_name, double min_x, double max_x, string y_column_name, double min_y, double max_y, IDictionary< string, string > options=null)
 Calculates how many objects within the given table lie in a rectangular box. More...
 
FilterByBoxGeometryResponse filterByBoxGeometry (FilterByBoxGeometryRequest request_)
 Calculates which geospatial geometry objects from a table intersect a rectangular box. More...
 
FilterByBoxGeometryResponse filterByBoxGeometry (string table_name, string view_name, string column_name, double min_x, double max_x, double min_y, double max_y, IDictionary< string, string > options=null)
 Calculates which geospatial geometry objects from a table intersect a rectangular box. More...
 
FilterByGeometryResponse filterByGeometry (FilterByGeometryRequest request_)
 Applies a geometry filter against a geospatial geometry column in a given table, collection or view. More...
 
FilterByGeometryResponse filterByGeometry (string table_name, string view_name, string column_name, string input_wkt, string operation, IDictionary< string, string > options=null)
 Applies a geometry filter against a geospatial geometry column in a given table, collection or view. More...
 
FilterByListResponse filterByList (FilterByListRequest request_)
 Calculates which records from a table have values in the given list for the corresponding column. More...
 
FilterByListResponse filterByList (string table_name, string view_name, IDictionary< string, IList< string >> column_values_map, IDictionary< string, string > options=null)
 Calculates which records from a table have values in the given list for the corresponding column. More...
 
FilterByRadiusResponse filterByRadius (FilterByRadiusRequest request_)
 Calculates which objects from a table lie within a circle with the given radius and center point (i.e. More...
 
FilterByRadiusResponse filterByRadius (string table_name, string view_name, string x_column_name, double x_center, string y_column_name, double y_center, double radius, IDictionary< string, string > options=null)
 Calculates which objects from a table lie within a circle with the given radius and center point (i.e. More...
 
FilterByRadiusGeometryResponse filterByRadiusGeometry (FilterByRadiusGeometryRequest request_)
 Calculates which geospatial geometry objects from a table intersect a circle with the given radius and center point (i.e. More...
 
FilterByRadiusGeometryResponse filterByRadiusGeometry (string table_name, string view_name, string column_name, double x_center, double y_center, double radius, IDictionary< string, string > options=null)
 Calculates which geospatial geometry objects from a table intersect a circle with the given radius and center point (i.e. More...
 
FilterByRangeResponse filterByRange (FilterByRangeRequest request_)
 Calculates which objects from a table have a column that is within the given bounds. More...
 
FilterByRangeResponse filterByRange (string table_name, string view_name, string column_name, double lower_bound, double upper_bound, IDictionary< string, string > options=null)
 Calculates which objects from a table have a column that is within the given bounds. More...
 
FilterBySeriesResponse filterBySeries (FilterBySeriesRequest request_)
 Filters objects matching all points of the given track (works only on track type data). More...
 
FilterBySeriesResponse filterBySeries (string table_name, string view_name, string track_id, IList< string > target_track_ids, IDictionary< string, string > options=null)
 Filters objects matching all points of the given track (works only on track type data). More...
 
FilterByStringResponse filterByString (FilterByStringRequest request_)
 Calculates which objects from a table, collection, or view match a string expression for the given string columns. More...
 
FilterByStringResponse filterByString (string table_name, string view_name, string expression, string mode, IList< string > column_names, IDictionary< string, string > options=null)
 Calculates which objects from a table, collection, or view match a string expression for the given string columns. More...
 
FilterByTableResponse filterByTable (FilterByTableRequest request_)
 Filters objects in one table based on objects in another table. More...
 
FilterByTableResponse filterByTable (string table_name, string view_name, string column_name, string source_table_name, string source_table_column_name, IDictionary< string, string > options=null)
 Filters objects in one table based on objects in another table. More...
 
FilterByValueResponse filterByValue (FilterByValueRequest request_)
 Calculates which objects from a table has a particular value for a particular column. More...
 
FilterByValueResponse filterByValue (string table_name, string view_name, bool is_string, double _value, string value_str, string column_name, IDictionary< string, string > options=null)
 Calculates which objects from a table has a particular value for a particular column. More...
 
GetJobResponse getJob (GetJobRequest request_)
 Get the status and result of asynchronously running job. More...
 
GetJobResponse getJob (long job_id, IDictionary< string, string > options=null)
 Get the status and result of asynchronously running job. More...
 
GetRecordsResponse< T > getRecords< T > (GetRecordsRequest request_)
 Retrieves records from a given table, optionally filtered by an expression and/or sorted by a column. More...
 
GetRecordsResponse< T > getRecords< T > (string table_name, long offset=0, long limit=-9999, IDictionary< string, string > options=null)
 Retrieves records from a given table, optionally filtered by an expression and/or sorted by a column. More...
 
GetRecordsByColumnResponse getRecordsByColumn (GetRecordsByColumnRequest request_)
 For a given table, retrieves the values from the requested column(s). More...
 
GetRecordsByColumnResponse getRecordsByColumn (string table_name, IList< string > column_names, long offset=0, long limit=-9999, IDictionary< string, string > options=null)
 For a given table, retrieves the values from the requested column(s). More...
 
GetRecordsBySeriesResponse< T > getRecordsBySeries< T > (GetRecordsBySeriesRequest request_)
 Retrieves the complete series/track records from the given based on the partial track information contained in the . More...
 
GetRecordsBySeriesResponse< T > getRecordsBySeries< T > (string table_name, string world_table_name, int offset=0, int limit=250, IDictionary< string, string > options=null)
 Retrieves the complete series/track records from the given world_table_name based on the partial track information contained in the table_name . More...
 
GetRecordsFromCollectionResponse
< T > 
getRecordsFromCollection< T > (GetRecordsFromCollectionRequest request_)
 Retrieves records from a collection. More...
 
GetRecordsFromCollectionResponse
< T > 
getRecordsFromCollection< T > (string table_name, long offset=0, long limit=-9999, IDictionary< string, string > options=null)
 Retrieves records from a collection. More...
 
GrantPermissionProcResponse grantPermissionProc (GrantPermissionProcRequest request_)
 Grants a proc-level permission to a user or role. More...
 
GrantPermissionProcResponse grantPermissionProc (string name, string permission, string proc_name, IDictionary< string, string > options=null)
 Grants a proc-level permission to a user or role. More...
 
GrantPermissionSystemResponse grantPermissionSystem (GrantPermissionSystemRequest request_)
 Grants a system-level permission to a user or role. More...
 
GrantPermissionSystemResponse grantPermissionSystem (string name, string permission, IDictionary< string, string > options=null)
 Grants a system-level permission to a user or role. More...
 
GrantPermissionTableResponse grantPermissionTable (GrantPermissionTableRequest request_)
 Grants a table-level permission to a user or role. More...
 
GrantPermissionTableResponse grantPermissionTable (string name, string permission, string table_name, string filter_expression="", IDictionary< string, string > options=null)
 Grants a table-level permission to a user or role. More...
 
GrantRoleResponse grantRole (GrantRoleRequest request_)
 Grants membership in a role to a user or role. More...
 
GrantRoleResponse grantRole (string role, string member, IDictionary< string, string > options=null)
 Grants membership in a role to a user or role. More...
 
HasProcResponse hasProc (HasProcRequest request_)
 Checks the existence of a proc with the given name. More...
 
HasProcResponse hasProc (string proc_name, IDictionary< string, string > options=null)
 Checks the existence of a proc with the given name. More...
 
HasTableResponse hasTable (HasTableRequest request_)
 Checks for the existence of a table with the given name. More...
 
HasTableResponse hasTable (string table_name, IDictionary< string, string > options=null)
 Checks for the existence of a table with the given name. More...
 
HasTypeResponse hasType (HasTypeRequest request_)
 Check for the existence of a type. More...
 
HasTypeResponse hasType (string type_id, IDictionary< string, string > options=null)
 Check for the existence of a type. More...
 
InsertRecordsResponse insertRecordsRaw (RawInsertRecordsRequest request_)
 Adds multiple records to the specified table. More...
 
InsertRecordsResponse insertRecords< T > (InsertRecordsRequest< T > request_)
 Adds multiple records to the specified table. More...
 
InsertRecordsResponse insertRecords< T > (string table_name, IList< T > data, IDictionary< string, string > options=null)
 Adds multiple records to the specified table. More...
 
InsertRecordsFromFilesResponse insertRecordsFromFiles (InsertRecordsFromFilesRequest request_)
 Reads from one or more files located on the server and inserts the data into a new or existing table. More...
 
InsertRecordsFromFilesResponse insertRecordsFromFiles (string table_name, IList< string > filepaths, IDictionary< string, string > create_table_options=null, IDictionary< string, string > options=null)
 Reads from one or more files located on the server and inserts the data into a new or existing table. More...
 
InsertRecordsRandomResponse insertRecordsRandom (InsertRecordsRandomRequest request_)
 Generates a specified number of random records and adds them to the given table. More...
 
InsertRecordsRandomResponse insertRecordsRandom (string table_name, long count, IDictionary< string, IDictionary< string, double >> options=null)
 Generates a specified number of random records and adds them to the given table. More...
 
InsertSymbolResponse insertSymbol (InsertSymbolRequest request_)
 Adds a symbol or icon (i.e. More...
 
InsertSymbolResponse insertSymbol (string symbol_id, string symbol_format, byte[] symbol_data, IDictionary< string, string > options=null)
 Adds a symbol or icon (i.e. More...
 
KillProcResponse killProc (KillProcRequest request_)
 Kills a running proc instance. More...
 
KillProcResponse killProc (string run_id="", IDictionary< string, string > options=null)
 Kills a running proc instance. More...
 
LockTableResponse lockTable (LockTableRequest request_)
 Manages global access to a table's data. More...
 
LockTableResponse lockTable (string table_name, string lock_type=LockTableRequest.LockType.STATUS, IDictionary< string, string > options=null)
 Manages global access to a table's data. More...
 
MatchGraphResponse matchGraph (MatchGraphRequest request_)
 Matches a directed route implied by a given set of latitude/longitude points to an existing underlying road network graph using a given solution type. More...
 
MatchGraphResponse matchGraph (string graph_name, IList< string > sample_points, string solve_method=MatchGraphRequest.SolveMethod.MARKOV_CHAIN, string solution_table="", IDictionary< string, string > options=null)
 Matches a directed route implied by a given set of latitude/longitude points to an existing underlying road network graph using a given solution type. More...
 
MergeRecordsResponse mergeRecords (MergeRecordsRequest request_)
 Create a new empty result table (specified by ), and insert all records from source tables (specified by ) based on the field mapping information (specified by ). More...
 
MergeRecordsResponse mergeRecords (string table_name, IList< string > source_table_names, IList< IDictionary< string, string >> field_maps, IDictionary< string, string > options=null)
 Create a new empty result table (specified by table_name ), and insert all records from source tables (specified by source_table_names ) based on the field mapping information (specified by field_maps ). More...
 
ModifyGraphResponse modifyGraph (ModifyGraphRequest request_)
 Update an existing graph network using given nodes, edges, weights, restrictions, and options. More...
 
ModifyGraphResponse modifyGraph (string graph_name, IList< string > nodes, IList< string > edges, IList< string > weights, IList< string > restrictions, IDictionary< string, string > options=null)
 Update an existing graph network using given nodes, edges, weights, restrictions, and options. More...
 
QueryGraphResponse queryGraph (QueryGraphRequest request_)
 Employs a topological query on a network graph generated a-priori by Kinetica.createGraph(string,bool,IList{string},IList{string},IList{string},IList{string},IDictionary{string, string}) and returns a list of adjacent edge(s) or node(s), also known as an adjacency list, depending on what's been provided to the endpoint; providing edges will return nodes and providing nodes will return edges. More...
 
QueryGraphResponse queryGraph (string graph_name, IList< string > queries, IList< string > restrictions=null, string adjacency_table="", int rings=1, IDictionary< string, string > options=null)
 Employs a topological query on a network graph generated a-priori by Kinetica.createGraph(string,bool,IList{string},IList{string},IList{string},IList{string},IDictionary{string, string}) and returns a list of adjacent edge(s) or node(s), also known as an adjacency list, depending on what's been provided to the endpoint; providing edges will return nodes and providing nodes will return edges. More...
 
RevokePermissionProcResponse revokePermissionProc (RevokePermissionProcRequest request_)
 Revokes a proc-level permission from a user or role. More...
 
RevokePermissionProcResponse revokePermissionProc (string name, string permission, string proc_name, IDictionary< string, string > options=null)
 Revokes a proc-level permission from a user or role. More...
 
RevokePermissionSystemResponse revokePermissionSystem (RevokePermissionSystemRequest request_)
 Revokes a system-level permission from a user or role. More...
 
RevokePermissionSystemResponse revokePermissionSystem (string name, string permission, IDictionary< string, string > options=null)
 Revokes a system-level permission from a user or role. More...
 
RevokePermissionTableResponse revokePermissionTable (RevokePermissionTableRequest request_)
 Revokes a table-level permission from a user or role. More...
 
RevokePermissionTableResponse revokePermissionTable (string name, string permission, string table_name, IDictionary< string, string > options=null)
 Revokes a table-level permission from a user or role. More...
 
RevokeRoleResponse revokeRole (RevokeRoleRequest request_)
 Revokes membership in a role from a user or role. More...
 
RevokeRoleResponse revokeRole (string role, string member, IDictionary< string, string > options=null)
 Revokes membership in a role from a user or role. More...
 
ShowGraphResponse showGraph (ShowGraphRequest request_)
 Shows information and characteristics of graphs that exist on the graph server. More...
 
ShowGraphResponse showGraph (string graph_name="", IDictionary< string, string > options=null)
 Shows information and characteristics of graphs that exist on the graph server. More...
 
ShowProcResponse showProc (ShowProcRequest request_)
 Shows information about a proc. More...
 
ShowProcResponse showProc (string proc_name="", IDictionary< string, string > options=null)
 Shows information about a proc. More...
 
ShowProcStatusResponse showProcStatus (ShowProcStatusRequest request_)
 Shows the statuses of running or completed proc instances. More...
 
ShowProcStatusResponse showProcStatus (string run_id="", IDictionary< string, string > options=null)
 Shows the statuses of running or completed proc instances. More...
 
ShowResourceStatisticsResponse showResourceStatistics (ShowResourceStatisticsRequest request_)
 Requests various statistics for storage/memory tiers and resource groups. More...
 
ShowResourceStatisticsResponse showResourceStatistics (IDictionary< string, string > options=null)
 Requests various statistics for storage/memory tiers and resource groups. More...
 
ShowResourceGroupsResponse showResourceGroups (ShowResourceGroupsRequest request_)
 Requests resource group properties. More...
 
ShowResourceGroupsResponse showResourceGroups (IList< string > names, IDictionary< string, string > options=null)
 Requests resource group properties. More...
 
ShowSecurityResponse showSecurity (ShowSecurityRequest request_)
 Shows security information relating to users and/or roles. More...
 
ShowSecurityResponse showSecurity (IList< string > names, IDictionary< string, string > options=null)
 Shows security information relating to users and/or roles. More...
 
ShowSqlProcResponse showSqlProc (ShowSqlProcRequest request_)
 Shows information about SQL procedures, including the full definition of each requested procedure. More...
 
ShowSqlProcResponse showSqlProc (string procedure_name="", IDictionary< string, string > options=null)
 Shows information about SQL procedures, including the full definition of each requested procedure. More...
 
ShowStatisticsResponse showStatistics (ShowStatisticsRequest request_)
 Retrieves the collected column statistics for the specified table. More...
 
ShowStatisticsResponse showStatistics (IList< string > table_names, IDictionary< string, string > options=null)
 Retrieves the collected column statistics for the specified table. More...
 
ShowSystemPropertiesResponse showSystemProperties (ShowSystemPropertiesRequest request_)
 Returns server configuration and version related information to the caller. More...
 
ShowSystemPropertiesResponse showSystemProperties (IDictionary< string, string > options=null)
 Returns server configuration and version related information to the caller. More...
 
ShowSystemStatusResponse showSystemStatus (ShowSystemStatusRequest request_)
 Provides server configuration and health related status to the caller. More...
 
ShowSystemStatusResponse showSystemStatus (IDictionary< string, string > options=null)
 Provides server configuration and health related status to the caller. More...
 
ShowSystemTimingResponse showSystemTiming (ShowSystemTimingRequest request_)
 Returns the last 100 database requests along with the request timing and internal job id. More...
 
ShowSystemTimingResponse showSystemTiming (IDictionary< string, string > options=null)
 Returns the last 100 database requests along with the request timing and internal job id. More...
 
ShowTableResponse showTable (ShowTableRequest request_)
 Retrieves detailed information about a table, view, or collection, specified in . More...
 
ShowTableResponse showTable (string table_name, IDictionary< string, string > options=null)
 Retrieves detailed information about a table, view, or collection, specified in table_name . More...
 
ShowTableMetadataResponse showTableMetadata (ShowTableMetadataRequest request_)
 Retrieves the user provided metadata for the specified tables. More...
 
ShowTableMetadataResponse showTableMetadata (IList< string > table_names, IDictionary< string, string > options=null)
 Retrieves the user provided metadata for the specified tables. More...
 
ShowTablesByTypeResponse showTablesByType (ShowTablesByTypeRequest request_)
 Gets names of the tables whose type matches the given criteria. More...
 
ShowTablesByTypeResponse showTablesByType (string type_id, string label, IDictionary< string, string > options=null)
 Gets names of the tables whose type matches the given criteria. More...
 
ShowTriggersResponse showTriggers (ShowTriggersRequest request_)
 Retrieves information regarding the specified triggers or all existing triggers currently active. More...
 
ShowTriggersResponse showTriggers (IList< string > trigger_ids, IDictionary< string, string > options=null)
 Retrieves information regarding the specified triggers or all existing triggers currently active. More...
 
ShowTypesResponse showTypes (ShowTypesRequest request_)
 Retrieves information for the specified data type ID or type label. More...
 
ShowTypesResponse showTypes (string type_id, string label, IDictionary< string, string > options=null)
 Retrieves information for the specified data type ID or type label. More...
 
SolveGraphResponse solveGraph (SolveGraphRequest request_)
 Solves an existing graph for a type of problem (e.g., shortest path, page rank, travelling salesman, etc.) using source nodes, destination nodes, and additional, optional weights and restrictions. More...
 
SolveGraphResponse solveGraph (string graph_name, IList< string > weights_on_edges=null, IList< string > restrictions=null, string solver_type=SolveGraphRequest.SolverType.SHORTEST_PATH, IList< string > source_nodes=null, IList< string > destination_nodes=null, string solution_table="graph_solutions", IDictionary< string, string > options=null)
 Solves an existing graph for a type of problem (e.g., shortest path, page rank, travelling salesman, etc.) using source nodes, destination nodes, and additional, optional weights and restrictions. More...
 
UpdateRecordsResponse updateRecordsRaw (RawUpdateRecordsRequest request_)
 Runs multiple predicate-based updates in a single call. More...
 
UpdateRecordsResponse updateRecords< T > (UpdateRecordsRequest< T > request_)
 Runs multiple predicate-based updates in a single call. More...
 
UpdateRecordsResponse updateRecords< T > (string table_name, IList< string > expressions, IList< IDictionary< string, string >> new_values_maps, IList< T > data=null, IDictionary< string, string > options=null)
 Runs multiple predicate-based updates in a single call. More...
 
UpdateRecordsBySeriesResponse updateRecordsBySeries (UpdateRecordsBySeriesRequest request_)
 Updates the view specified by to include full series (track) information from the for the series (tracks) present in the . More...
 
UpdateRecordsBySeriesResponse updateRecordsBySeries (string table_name, string world_table_name, string view_name="", IList< string > reserved=null, IDictionary< string, string > options=null)
 Updates the view specified by table_name to include full series (track) information from the world_table_name for the series (tracks) present in the view_name . More...
 
VisualizeImageChartResponse visualizeImageChart (VisualizeImageChartRequest request_)
 Scatter plot is the only plot type currently supported. More...
 
VisualizeImageChartResponse visualizeImageChart (string table_name, IList< string > x_column_names, IList< string > y_column_names, double min_x, double max_x, double min_y, double max_y, int width, int height, string bg_color, IDictionary< string, IList< string >> style_options, IDictionary< string, string > options=null)
 Scatter plot is the only plot type currently supported. More...
 
VisualizeIsochroneResponse visualizeIsochrone (VisualizeIsochroneRequest request_)
 Generate an image containing isolines for travel results using an existing graph. More...
 
VisualizeIsochroneResponse visualizeIsochrone (string graph_name, string source_node, double max_solution_radius, IList< string > weights_on_edges, IList< string > restrictions, int num_levels, bool generate_image, string levels_table, IDictionary< string, string > style_options, IDictionary< string, string > solve_options=null, IDictionary< string, string > contour_options=null, IDictionary< string, string > options=null)
 Generate an image containing isolines for travel results using an existing graph. More...
 

Static Public Member Functions

static string GetApiVersion ()
 API Version More...
 

Public Attributes

const int END_OF_SET = -9999
 No Limit More...
 
const string API_VERSION = "7.0.19.0"
 

Properties

string Url [get, set]
 URL for Kinetica Server (including "http:" and port) as a string More...
 
Uri URL [get, set]
 URL for Kinetica Server (including "http:" and port) More...
 
string Username [get, set]
 Optional: User Name for Kinetica security More...
 
bool UseSnappy = null [get, set]
 Use Snappy More...
 
int ThreadCount = false [get, set]
 Thread Count More...
 

Detailed Description

API to talk to Kinetica Database

Definition at line 40 of file Kinetica.cs.

Constructor & Destructor Documentation

kinetica.Kinetica.Kinetica ( string  url_str,
Options  options = null 
)
inline

API Constructor

Parameters
url_strURL for Kinetica Server (including "http:" and port)
optionsOptional connection options

Definition at line 128 of file Kinetica.cs.

Member Function Documentation

void kinetica.Kinetica.AddTableType ( string  table_name,
Type  obj_type 
)
inline

Given a table name, add its record type to enable proper encoding of records for insertion or updates.

Parameters
table_nameName of the table.
obj_typeThe type associated with the table.

Definition at line 158 of file Kinetica.cs.

AdminAddRanksResponse kinetica.Kinetica.adminAddRanks ( AdminAddRanksRequest  request_)
inline

Add one or more new ranks to the Kinetica cluster.

The new ranks will not contain any data initially, other than replicated tables, and not be assigned any shards. To rebalance data across the cluster, which includes shifting some shard key assignments to newly added ranks, see Kinetica.adminRebalance(IDictionary{string, string}).
For example, if attempting to add three new ranks (two ranks on host 172.123.45.67 and one rank on host 172.123.45.68) to a Kinetica cluster with additional configuration parameters:

  • would be an array including 172.123.45.67 in the first two indices (signifying two ranks being added to host 172.123.45.67) and 172.123.45.68 in the last index (signifying one rank being added to host 172.123.45.67)
  • would be an array of maps, with each map corresponding to the ranks being added in . The key of each map would be the configuration parameter name and the value would be the parameter's value, e.g. 'rank.gpu':'1'
    This endpoint's processing includes copying all replicated table data to the new rank(s) and therefore could take a long time. The API call may time out if run directly. It is recommended to run this endpoint asynchronously via Kinetica.createJob(string,string,byte[],string,IDictionary{string, string}).
Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 58 of file KineticaFunctions.cs.

AdminAddRanksResponse kinetica.Kinetica.adminAddRanks ( IList< string >  hosts,
IList< IDictionary< string, string >>  config_params,
IDictionary< string, string >  options = null 
)
inline

Add one or more new ranks to the Kinetica cluster.

The new ranks will not contain any data initially, other than replicated tables, and not be assigned any shards. To rebalance data across the cluster, which includes shifting some shard key assignments to newly added ranks, see Kinetica.adminRebalance(IDictionary{string, string}).
For example, if attempting to add three new ranks (two ranks on host 172.123.45.67 and one rank on host 172.123.45.68) to a Kinetica cluster with additional configuration parameters:

  • hosts would be an array including 172.123.45.67 in the first two indices (signifying two ranks being added to host 172.123.45.67) and 172.123.45.68 in the last index (signifying one rank being added to host 172.123.45.67)
  • config_params would be an array of maps, with each map corresponding to the ranks being added in hosts . The key of each map would be the configuration parameter name and the value would be the parameter's value, e.g. 'rank.gpu':'1'
    This endpoint's processing includes copying all replicated table data to the new rank(s) and therefore could take a long time. The API call may time out if run directly. It is recommended to run this endpoint asynchronously via Kinetica.createJob(string,string,byte[],string,IDictionary{string, string}).
Parameters
hostsThe IP address of each rank being added to the cluster. Insert one entry per rank, even if they are on the same host. The order of the hosts in the array only matters as it relates to the .
config_paramsConfiguration parameters to apply to the new ranks, e.g., which GPU to use. Configuration parameters that start with 'rankN.', where N is the rank number, should omit the N, as the new rank number(s) are not allocated until the ranks are created. Each entry in this array corresponds to the entry at the same array index in the . This array must either be completely empty or have the same number of elements as the hosts array. An empty array will result in the new ranks being set only with default parameters.
optionsOptional parameters.
  • DRY_RUN: If true, only validation checks will be performed. No ranks are added. Supported values: The default value is FALSE.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 137 of file KineticaFunctions.cs.

AdminAlterJobsResponse kinetica.Kinetica.adminAlterJobs ( AdminAlterJobsRequest  request_)
inline

Perform the requested action on a list of one or more job(s).

Based on the type of job and the current state of execution, the action may not be successfully executed. The final result of the attempted actions for each specified job is returned in the status array of the response. See Job Manager for more information.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 159 of file KineticaFunctions.cs.

AdminAlterJobsResponse kinetica.Kinetica.adminAlterJobs ( IList< long >  job_ids,
string  action,
IDictionary< string, string >  options = null 
)
inline

Perform the requested action on a list of one or more job(s).

Based on the type of job and the current state of execution, the action may not be successfully executed. The final result of the attempted actions for each specified job is returned in the status array of the response. See Job Manager for more information.

Parameters
job_idsJobs to be modified.
actionAction to be performed on the jobs specified by job_ids. Supported values:
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 191 of file KineticaFunctions.cs.

AdminOfflineResponse kinetica.Kinetica.adminOffline ( AdminOfflineRequest  request_)
inline

Take the system offline.

When the system is offline, no user operations can be performed with the exception of a system shutdown.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 209 of file KineticaFunctions.cs.

AdminOfflineResponse kinetica.Kinetica.adminOffline ( bool  offline,
IDictionary< string, string >  options = null 
)
inline

Take the system offline.

When the system is offline, no user operations can be performed with the exception of a system shutdown.

Parameters
offlineSet to true if desired state is offline. Supported values:
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 257 of file KineticaFunctions.cs.

AdminRebalanceResponse kinetica.Kinetica.adminRebalance ( AdminRebalanceRequest  request_)
inline

Rebalance the cluster so that all the nodes contain approximately an equal number of records.

The rebalance will also cause the shards to be equally distributed (as much as possible) across all the ranks.
This endpoint may take a long time to run, depending on the amount of data in the system. The API call may time out if run directly. It is recommended to run this endpoint asynchronously via Kinetica.createJob(string,string,byte[],string,IDictionary{string, string}).

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 281 of file KineticaFunctions.cs.

AdminRebalanceResponse kinetica.Kinetica.adminRebalance ( IDictionary< string, string >  options = null)
inline

Rebalance the cluster so that all the nodes contain approximately an equal number of records.

The rebalance will also cause the shards to be equally distributed (as much as possible) across all the ranks.
This endpoint may take a long time to run, depending on the amount of data in the system. The API call may time out if run directly. It is recommended to run this endpoint asynchronously via Kinetica.createJob(string,string,byte[],string,IDictionary{string, string}).

Parameters
optionsOptional parameters.
  • REBALANCE_SHARDED_DATA: If true, sharded data will be rebalanced approximately equally across the cluster. Note that for big clusters, this data transfer could be time consuming and result in delayed query responses. Supported values: The default value is TRUE.
  • REBALANCE_UNSHARDED_DATA: If true, unsharded data (data without primary keys and without shard keys) will be rebalanced approximately equally across the cluster. Note that for big clusters, this data transfer could be time consuming and result in delayed query responses. Supported values: The default value is TRUE.
  • TABLE_WHITELIST: Comma-separated list of unsharded table names to rebalance. Not applicable to sharded tables because they are always balanced in accordance with their primary key or shard key. Cannot be used simultaneously with table_blacklist.
  • TABLE_BLACKLIST: Comma-separated list of unsharded table names to not rebalance. Not applicable to sharded tables because they are always balanced in accordance with their primary key or shard key. Cannot be used simultaneously with table_whitelist.
  • AGGRESSIVENESS: Influences how much data to send per rebalance round. A higher aggressiveness setting will complete the rebalance faster. A lower aggressiveness setting will take longer, but allow for better interleaving between the rebalance and other queries. Allowed values are 1 through 10. The default value is '1'.
  • COMPACT_AFTER_REBALANCE: Perform compaction of deleted records once the rebalance completes, to reclaim memory and disk space. Default is true, unless repair_incorrectly_sharded_data is set to true. Supported values: The default value is TRUE.
  • COMPACT_ONLY: Only perform compaction, do not rebalance. Default is false. Supported values: The default value is FALSE.
  • REPAIR_INCORRECTLY_SHARDED_DATA: Scans for any data sharded incorrectly and re-routes the correct location. This can be done as part of a typical rebalance after expanding the cluster, or in a standalone fashion when it is believed that data is sharded incorrectly somewhere in the cluster. Compaction will not be performed by default when this is enabled. This option may also lengthen rebalance time, and increase the memory used by the rebalance. Supported values: The default value is FALSE.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 443 of file KineticaFunctions.cs.

AdminRemoveRanksResponse kinetica.Kinetica.adminRemoveRanks ( AdminRemoveRanksRequest  request_)
inline

Remove one or more ranks from the cluster.

All data in the ranks to be removed is rebalanced to other ranks before the node is removed unless the rebalance_sharded_data or rebalance_unsharded_data parameters are set to false in the .
Due to the rebalancing, this endpoint may take a long time to run, depending on the amount of data in the system. The API call may time out if run directly. It is recommended to run this endpoint asynchronously via Kinetica.createJob(string,string,byte[],string,IDictionary{string, string}).

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 468 of file KineticaFunctions.cs.

AdminRemoveRanksResponse kinetica.Kinetica.adminRemoveRanks ( IList< int >  ranks,
IDictionary< string, string >  options = null 
)
inline

Remove one or more ranks from the cluster.

All data in the ranks to be removed is rebalanced to other ranks before the node is removed unless the rebalance_sharded_data or rebalance_unsharded_data parameters are set to false in the options .
Due to the rebalancing, this endpoint may take a long time to run, depending on the amount of data in the system. The API call may time out if run directly. It is recommended to run this endpoint asynchronously via Kinetica.createJob(string,string,byte[],string,IDictionary{string, string}).

Parameters
ranksRank numbers of the ranks to be removed from the cluster.
optionsOptional parameters.
  • REBALANCE_SHARDED_DATA: When true, data with primary keys or shard keys will be rebalanced to other ranks prior to rank removal. Note that for big clusters, this data transfer could be time consuming and result in delayed query responses. Supported values: The default value is TRUE.
  • REBALANCE_UNSHARDED_DATA: When true, unsharded data (data without primary keys and without shard keys) will be rebalanced to other ranks prior to rank removal. Note that for big clusters, this data transfer could be time consuming and result in delayed query responses. Supported values: The default value is TRUE.
  • AGGRESSIVENESS: Influences how much data to send per rebalance round, during the rebalance portion of removing ranks. A higher aggressiveness setting will complete the rebalance faster. A lower aggressiveness setting will take longer, but allow for better interleaving between the rebalance and other queries. Allowed values are 1 through 10. The default value is '1'.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 552 of file KineticaFunctions.cs.

AdminShowAlertsResponse kinetica.Kinetica.adminShowAlerts ( AdminShowAlertsRequest  request_)
inline

Requests a list of the most recent alerts.

Returns lists of alert data, including timestamp and type.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 569 of file KineticaFunctions.cs.

AdminShowAlertsResponse kinetica.Kinetica.adminShowAlerts ( int  num_alerts,
IDictionary< string, string >  options = null 
)
inline

Requests a list of the most recent alerts.

Returns lists of alert data, including timestamp and type.

Parameters
num_alertsNumber of most recent alerts to request. The response will include up to depending on how many alerts there are in the system. A value of 0 returns all stored alerts.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 592 of file KineticaFunctions.cs.

AdminShowClusterOperationsResponse kinetica.Kinetica.adminShowClusterOperations ( AdminShowClusterOperationsRequest  request_)
inline

Requests the detailed status of the current operation (by default) or a prior cluster operation specified by .

Returns details on the requested cluster operation.
The response will also indicate how many cluster operations are stored in the history.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 613 of file KineticaFunctions.cs.

AdminShowClusterOperationsResponse kinetica.Kinetica.adminShowClusterOperations ( int  history_index = 0,
IDictionary< string, string >  options = null 
)
inline

Requests the detailed status of the current operation (by default) or a prior cluster operation specified by history_index .

Returns details on the requested cluster operation.
The response will also indicate how many cluster operations are stored in the history.

Parameters
history_indexIndicates which cluster operation to retrieve. Use 0 for the most recent. The default value is 0.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 638 of file KineticaFunctions.cs.

AdminShowJobsResponse kinetica.Kinetica.adminShowJobs ( AdminShowJobsRequest  request_)
inline

Get a list of the current jobs in GPUdb.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 655 of file KineticaFunctions.cs.

AdminShowJobsResponse kinetica.Kinetica.adminShowJobs ( IDictionary< string, string >  options = null)
inline

Get a list of the current jobs in GPUdb.

Parameters
optionsOptional parameters.
  • SHOW_ASYNC_JOBS: If true, then the completed async jobs are also included in the response. By default, once the async jobs are completed they are no longer included in the jobs list. Supported values: The default value is FALSE.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 693 of file KineticaFunctions.cs.

AdminShowShardsResponse kinetica.Kinetica.adminShowShards ( AdminShowShardsRequest  request_)
inline

Show the mapping of shards to the corresponding rank and tom.

The response message contains list of 16384 (total number of shards in the system) Rank and TOM numbers corresponding to each shard.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 710 of file KineticaFunctions.cs.

AdminShowShardsResponse kinetica.Kinetica.adminShowShards ( IDictionary< string, string >  options = null)
inline

Show the mapping of shards to the corresponding rank and tom.

The response message contains list of 16384 (total number of shards in the system) Rank and TOM numbers corresponding to each shard.

Parameters
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 729 of file KineticaFunctions.cs.

AdminShutdownResponse kinetica.Kinetica.adminShutdown ( AdminShutdownRequest  request_)
inline

Exits the database server application.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 743 of file KineticaFunctions.cs.

AdminShutdownResponse kinetica.Kinetica.adminShutdown ( string  exit_type,
string  authorization,
IDictionary< string, string >  options = null 
)
inline

Exits the database server application.

Parameters
exit_typeReserved for future use. User can pass an empty string.
authorizationNo longer used. User can pass an empty string.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 763 of file KineticaFunctions.cs.

AdminVerifyDbResponse kinetica.Kinetica.adminVerifyDb ( AdminVerifyDbRequest  request_)
inline

Verify database is in a consistent state.

When inconsistencies or errors are found, the verified_ok flag in the response is set to false and the list of errors found is provided in the error_list.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 783 of file KineticaFunctions.cs.

AdminVerifyDbResponse kinetica.Kinetica.adminVerifyDb ( IDictionary< string, string >  options = null)
inline

Verify database is in a consistent state.

When inconsistencies or errors are found, the verified_ok flag in the response is set to false and the list of errors found is provided in the error_list.

Parameters
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 898 of file KineticaFunctions.cs.

AggregateConvexHullResponse kinetica.Kinetica.aggregateConvexHull ( AggregateConvexHullRequest  request_)
inline

Calculates and returns the convex hull for the values in a table specified by .

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 914 of file KineticaFunctions.cs.

AggregateConvexHullResponse kinetica.Kinetica.aggregateConvexHull ( string  table_name,
string  x_column_name,
string  y_column_name,
IDictionary< string, string >  options = null 
)
inline

Calculates and returns the convex hull for the values in a table specified by table_name .

Parameters
table_nameName of table on which the operation will be performed. Must be an existing table. It cannot be a collection.
x_column_nameName of the column containing the x coordinates of the points for the operation being performed.
y_column_nameName of the column containing the y coordinates of the points for the operation being performed.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 940 of file KineticaFunctions.cs.

AggregateGroupByResponse kinetica.Kinetica.aggregateGroupBy ( AggregateGroupByRequest  request_)
inline

Calculates unique combinations (groups) of values for the given columns in a given table or view and computes aggregates on each unique combination.

This is somewhat analogous to an SQL-style SELECT...GROUP BY.
For aggregation details and examples, see Aggregation. For limitations, see Aggregation Limitations.
Any column(s) can be grouped on, and all column types except unrestricted-length strings may be used for computing applicable aggregates; columns marked as store-only are unable to be used in grouping or aggregation.
The results can be paged via the and parameters. For example, to get 10 groups with the largest counts the inputs would be: limit=10, options={"sort_order":"descending", "sort_by":"value"}.
can be used to customize behavior of this call e.g. filtering or sorting the results.
To group by columns 'x' and 'y' and compute the number of objects within each group, use: column_names=['x','y','count(*)'].
To also compute the sum of 'z' over each group, use: column_names=['x','y','count(*)','sum(z)'].
Available aggregation functions are: count(*), sum, min, max, avg, mean, stddev, stddev_pop, stddev_samp, var, var_pop, var_samp, arg_min, arg_max and count_distinct.
Available grouping functions are Rollup, Cube, and Grouping Sets
This service also provides support for Pivot operations.
Filtering on aggregates is supported via expressions using aggregation functions supplied to having.
The response is returned as a dynamic schema. For details see: dynamic schemas documentation.
If a result_table name is specified in the , the results are stored in a new table with that name–no results are returned in the response. Both the table name and resulting column names must adhere to standard naming conventions; column/aggregation expressions will need to be aliased. If the source table's shard key is used as the grouping column(s) and all result records are selected ( is 0 and is -9999), the result table will be sharded, in all other cases it will be replicated. Sorting will properly function only if the result table is replicated or if there is only one processing node and should not be relied upon in other cases. Not available when any of the values of is an unrestricted-length string.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 1035 of file KineticaFunctions.cs.

AggregateGroupByResponse kinetica.Kinetica.aggregateGroupBy ( string  table_name,
IList< string >  column_names,
long  offset = 0,
long  limit = -9999,
IDictionary< string, string >  options = null 
)
inline

Calculates unique combinations (groups) of values for the given columns in a given table or view and computes aggregates on each unique combination.

This is somewhat analogous to an SQL-style SELECT...GROUP BY.
For aggregation details and examples, see Aggregation. For limitations, see Aggregation Limitations.
Any column(s) can be grouped on, and all column types except unrestricted-length strings may be used for computing applicable aggregates; columns marked as store-only are unable to be used in grouping or aggregation.
The results can be paged via the offset and limit parameters. For example, to get 10 groups with the largest counts the inputs would be: limit=10, options={"sort_order":"descending", "sort_by":"value"}.
options can be used to customize behavior of this call e.g. filtering or sorting the results.
To group by columns 'x' and 'y' and compute the number of objects within each group, use: column_names=['x','y','count(*)'].
To also compute the sum of 'z' over each group, use: column_names=['x','y','count(*)','sum(z)'].
Available aggregation functions are: count(*), sum, min, max, avg, mean, stddev, stddev_pop, stddev_samp, var, var_pop, var_samp, arg_min, arg_max and count_distinct.
Available grouping functions are Rollup, Cube, and Grouping Sets
This service also provides support for Pivot operations.
Filtering on aggregates is supported via expressions using aggregation functions supplied to having.
The response is returned as a dynamic schema. For details see: dynamic schemas documentation.
If a result_table name is specified in the options , the results are stored in a new table with that name–no results are returned in the response. Both the table name and resulting column names must adhere to standard naming conventions; column/aggregation expressions will need to be aliased. If the source table's shard key is used as the grouping column(s) and all result records are selected (offset is 0 and limit is -9999), the result table will be sharded, in all other cases it will be replicated. Sorting will properly function only if the result table is replicated or if there is only one processing node and should not be relied upon in other cases. Not available when any of the values of column_names is an unrestricted-length string.

Parameters
table_nameName of an existing table or view on which the operation will be performed.
column_namesList of one or more column names, expressions, and aggregate expressions.
offsetA positive integer indicating the number of initial results to skip (this can be useful for paging through the results). The default value is 0.The minimum allowed value is 0. The maximum allowed value is MAX_INT.
limitA positive integer indicating the maximum number of results to be returned, or END_OF_SET (-9999) to indicate that the max number of results should be returned. The number of records returned will never exceed the server's own limit, defined by the max_get_records_size parameter in the server configuration. Use <member name="has_more_records"> to see if more records exist in the result to be fetched, and & to request subsequent pages of results. The default value is -9999.
optionsOptional parameters.
  • COLLECTION_NAME: Name of a collection which is to contain the table specified in result_table. If the collection provided is non-existent, the collection will be automatically created. If empty, then the table will be a top-level table.
  • EXPRESSION: Filter expression to apply to the table prior to computing the aggregate group by.
  • HAVING: Filter expression to apply to the aggregated results.
  • SORT_ORDER: String indicating how the returned values should be sorted - ascending or descending. Supported values:
    • ASCENDING: Indicates that the returned values should be sorted in ascending order.
    • DESCENDING: Indicates that the returned values should be sorted in descending order.
    The default value is ASCENDING.
  • SORT_BY: String determining how the results are sorted. Supported values:
    • KEY: Indicates that the returned values should be sorted by key, which corresponds to the grouping columns. If you have multiple grouping columns (and are sorting by key), it will first sort the first grouping column, then the second grouping column, etc.
    • VALUE: Indicates that the returned values should be sorted by value, which corresponds to the aggregates. If you have multiple aggregates (and are sorting by value), it will first sort by the first aggregate, then the second aggregate, etc.
    The default value is VALUE.
  • RESULT_TABLE: The name of the table used to store the results. Has the same naming restrictions as tables. Column names (group-by and aggregate fields) need to be given aliases e.g. ["FChar256 as fchar256", "sum(FDouble) as sfd"]. If present, no results are returned in the response. This option is not available if one of the grouping attributes is an unrestricted string (i.e.; not charN) type.
  • RESULT_TABLE_PERSIST: If true, then the result table specified in result_table will be persisted and will not expire unless a ttl is specified. If false, then the result table will be an in-memory table and will expire unless a ttl is specified otherwise. Supported values: The default value is FALSE.
  • RESULT_TABLE_FORCE_REPLICATED: Force the result table to be replicated (ignores any sharding). Must be used in combination with the result_table option. Supported values: The default value is FALSE.
  • RESULT_TABLE_GENERATE_PK: If true then set a primary key for the result table. Must be used in combination with the result_table option. Supported values: The default value is FALSE.
  • TTL: Sets the TTL of the table specified in result_table.
  • CHUNK_SIZE: Indicates the number of records per chunk to be used for the result table. Must be used in combination with the result_table option.
  • CREATE_INDEXES: Comma-separated list of columns on which to create indexes on the result table. Must be used in combination with the result_table option.
  • VIEW_ID: ID of view of which the result table will be a member. The default value is ''.
  • MATERIALIZE_ON_GPU: No longer used. See Resource Management Concepts for information about how resources are managed, Tier Strategy Concepts for how resources are targeted for VRAM, and Tier Strategy Usage for how to specify a table's priority in VRAM. Supported values: The default value is FALSE.
  • PIVOT: pivot column
  • PIVOT_VALUES: The value list provided will become the column headers in the output. Should be the values from the pivot_column.
  • GROUPING_SETS: Customize the grouping attribute sets to compute the aggregates. These sets can include ROLLUP or CUBE operartors. The attribute sets should be enclosed in paranthesis and can include composite attributes. All attributes specified in the grouping sets must present in the groupby attributes.
  • ROLLUP: This option is used to specify the multilevel aggregates.
  • CUBE: This option is used to specify the multidimensional aggregates.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 1378 of file KineticaFunctions.cs.

AggregateHistogramResponse kinetica.Kinetica.aggregateHistogram ( AggregateHistogramRequest  request_)
inline

Performs a histogram calculation given a table, a column, and an interval function.

The is used to produce bins of that size and the result, computed over the records falling within each bin, is returned. For each bin, the start value is inclusive, but the end value is exclusive–except for the very last bin for which the end value is also inclusive. The value returned for each bin is the number of records in it, except when a column name is provided as a value_column. In this latter case the sum of the values corresponding to the value_column is used as the result instead. The total number of bins requested cannot exceed 10,000.
NOTE: The Kinetica instance being accessed must be running a CUDA (GPU-based) build to service a request that specifies a value_column option.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 1413 of file KineticaFunctions.cs.

AggregateHistogramResponse kinetica.Kinetica.aggregateHistogram ( string  table_name,
string  column_name,
double  start,
double  end,
double  interval,
IDictionary< string, string >  options = null 
)
inline

Performs a histogram calculation given a table, a column, and an interval function.

The interval is used to produce bins of that size and the result, computed over the records falling within each bin, is returned. For each bin, the start value is inclusive, but the end value is exclusive–except for the very last bin for which the end value is also inclusive. The value returned for each bin is the number of records in it, except when a column name is provided as a value_column. In this latter case the sum of the values corresponding to the value_column is used as the result instead. The total number of bins requested cannot exceed 10,000.
NOTE: The Kinetica instance being accessed must be running a CUDA (GPU-based) build to service a request that specifies a value_column option.

Parameters
table_nameName of the table on which the operation will be performed. Must be an existing table or collection.
column_nameName of a column or an expression of one or more column names over which the histogram will be calculated.
startLower end value of the histogram interval, inclusive.
endUpper end value of the histogram interval, inclusive.
intervalThe size of each bin within the start and end parameters.
optionsOptional parameters.
  • VALUE_COLUMN: The name of the column to use when calculating the bin values (values are summed). The column must be a numerical type (int, double, long, float).
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 1464 of file KineticaFunctions.cs.

AggregateKMeansResponse kinetica.Kinetica.aggregateKMeans ( AggregateKMeansRequest  request_)
inline

This endpoint runs the k-means algorithm - a heuristic algorithm that attempts to do k-means clustering.

An ideal k-means clustering algorithm selects k points such that the sum of the mean squared distances of each member of the set to the nearest of the k points is minimized. The k-means algorithm however does not necessarily produce such an ideal cluster. It begins with a randomly selected set of k points and then refines the location of the points iteratively and settles to a local minimum. Various parameters and options are provided to control the heuristic search.
NOTE: The Kinetica instance being accessed must be running a CUDA (GPU-based) build to service this request.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 1498 of file KineticaFunctions.cs.

AggregateKMeansResponse kinetica.Kinetica.aggregateKMeans ( string  table_name,
IList< string >  column_names,
int  k,
double  tolerance,
IDictionary< string, string >  options = null 
)
inline

This endpoint runs the k-means algorithm - a heuristic algorithm that attempts to do k-means clustering.

An ideal k-means clustering algorithm selects k points such that the sum of the mean squared distances of each member of the set to the nearest of the k points is minimized. The k-means algorithm however does not necessarily produce such an ideal cluster. It begins with a randomly selected set of k points and then refines the location of the points iteratively and settles to a local minimum. Various parameters and options are provided to control the heuristic search.
NOTE: The Kinetica instance being accessed must be running a CUDA (GPU-based) build to service this request.

Parameters
table_nameName of the table on which the operation will be performed. Must be an existing table or collection.
column_namesList of column names on which the operation would be performed. If n columns are provided then each of the k result points will have n dimensions corresponding to the n columns.
kThe number of mean points to be determined by the algorithm.
toleranceStop iterating when the distances between successive points is less than the given tolerance.
optionsOptional parameters.
  • WHITEN: When set to 1 each of the columns is first normalized by its stdv - default is not to whiten.
  • MAX_ITERS: Number of times to try to hit the tolerance limit before giving up - default is 10.
  • NUM_TRIES: Number of times to run the k-means algorithm with a different randomly selected starting points - helps avoid local minimum. Default is 1.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 1558 of file KineticaFunctions.cs.

AggregateMinMaxResponse kinetica.Kinetica.aggregateMinMax ( AggregateMinMaxRequest  request_)
inline

Calculates and returns the minimum and maximum values of a particular column in a table.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 1578 of file KineticaFunctions.cs.

AggregateMinMaxResponse kinetica.Kinetica.aggregateMinMax ( string  table_name,
string  column_name,
IDictionary< string, string >  options = null 
)
inline

Calculates and returns the minimum and maximum values of a particular column in a table.

Parameters
table_nameName of the table on which the operation will be performed. Must be an existing table.
column_nameName of a column or an expression of one or more column on which the min-max will be calculated.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 1599 of file KineticaFunctions.cs.

AggregateMinMaxGeometryResponse kinetica.Kinetica.aggregateMinMaxGeometry ( AggregateMinMaxGeometryRequest  request_)
inline

Calculates and returns the minimum and maximum x- and y-coordinates of a particular geospatial geometry column in a table.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 1618 of file KineticaFunctions.cs.

AggregateMinMaxGeometryResponse kinetica.Kinetica.aggregateMinMaxGeometry ( string  table_name,
string  column_name,
IDictionary< string, string >  options = null 
)
inline

Calculates and returns the minimum and maximum x- and y-coordinates of a particular geospatial geometry column in a table.

Parameters
table_nameName of the table on which the operation will be performed. Must be an existing table.
column_nameName of a geospatial geometry column on which the min-max will be calculated.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 1640 of file KineticaFunctions.cs.

AggregateStatisticsResponse kinetica.Kinetica.aggregateStatistics ( AggregateStatisticsRequest  request_)
inline

Calculates the requested statistics of the given column(s) in a given table.


The available statistics are count (number of total objects), mean, stdv (standard deviation), variance, skew, kurtosis, sum, min, max, weighted_average, cardinality (unique count), estimated_cardinality, percentile and percentile_rank.
Estimated cardinality is calculated by using the hyperloglog approximation technique.
Percentiles and percentile ranks are approximate and are calculated using the t-digest algorithm. They must include the desired percentile/percentile_rank. To compute multiple percentiles each value must be specified separately (i.e. 'percentile(75.0),percentile(99.0),percentile_rank(1234.56),percentile_rank(-5)').
A second, comma-separated value can be added to the percentile statistic to calculate percentile resolution, e.g., a 50th percentile with 200 resolution would be 'percentile(50,200)'.
The weighted average statistic requires a weight_column_name to be specified in . The weighted average is then defined as the sum of the products of times the weight_column_name values divided by the sum of the weight_column_name values.
Additional columns can be used in the calculation of statistics via the additional_column_names option. Values in these columns will be included in the overall aggregate calculation–individual aggregates will not be calculated per additional column. For instance, requesting the count & mean of x and additional_column_names y & z, where x holds the numbers 1-10, y holds 11-20, and z holds 21-30, would return the total number of x, y, & z values (30), and the single average value across all x, y, & z values (15.5).
The response includes a list of key/value pairs of each statistic requested and its corresponding value.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 1703 of file KineticaFunctions.cs.

AggregateStatisticsResponse kinetica.Kinetica.aggregateStatistics ( string  table_name,
string  column_name,
string  stats,
IDictionary< string, string >  options = null 
)
inline

Calculates the requested statistics of the given column(s) in a given table.


The available statistics are count (number of total objects), mean, stdv (standard deviation), variance, skew, kurtosis, sum, min, max, weighted_average, cardinality (unique count), estimated_cardinality, percentile and percentile_rank.
Estimated cardinality is calculated by using the hyperloglog approximation technique.
Percentiles and percentile ranks are approximate and are calculated using the t-digest algorithm. They must include the desired percentile/percentile_rank. To compute multiple percentiles each value must be specified separately (i.e. 'percentile(75.0),percentile(99.0),percentile_rank(1234.56),percentile_rank(-5)').
A second, comma-separated value can be added to the percentile statistic to calculate percentile resolution, e.g., a 50th percentile with 200 resolution would be 'percentile(50,200)'.
The weighted average statistic requires a weight_column_name to be specified in options . The weighted average is then defined as the sum of the products of column_name times the weight_column_name values divided by the sum of the weight_column_name values.
Additional columns can be used in the calculation of statistics via the additional_column_names option. Values in these columns will be included in the overall aggregate calculation–individual aggregates will not be calculated per additional column. For instance, requesting the count & mean of column_name x and additional_column_names y & z, where x holds the numbers 1-10, y holds 11-20, and z holds 21-30, would return the total number of x, y, & z values (30), and the single average value across all x, y, & z values (15.5).
The response includes a list of key/value pairs of each statistic requested and its corresponding value.

Parameters
table_nameName of the table on which the statistics operation will be performed.
column_nameName of the primary column for which the statistics are to be calculated.
statsComma separated list of the statistics to calculate, e.g. "sum,mean". Supported values:
  • COUNT: Number of objects (independent of the given column(s)).
  • MEAN: Arithmetic mean (average), equivalent to sum/count.
  • STDV: Sample standard deviation (denominator is count-1).
  • VARIANCE: Unbiased sample variance (denominator is count-1).
  • SKEW: Skewness (third standardized moment).
  • KURTOSIS: Kurtosis (fourth standardized moment).
  • SUM: Sum of all values in the column(s).
  • MIN: Minimum value of the column(s).
  • MAX: Maximum value of the column(s).
  • WEIGHTED_AVERAGE: Weighted arithmetic mean (using the option weight_column_name as the weighting column).
  • CARDINALITY: Number of unique values in the column(s).
  • ESTIMATED_CARDINALITY: Estimate (via hyperloglog technique) of the number of unique values in the column(s).
  • PERCENTILE: Estimate (via t-digest) of the given percentile of the column(s) (percentile(50.0) will be an approximation of the median). Add a second, comma-separated value to calculate percentile resolution, e.g., 'percentile(75,150)'
  • PERCENTILE_RANK: Estimate (via t-digest) of the percentile rank of the given value in the column(s) (if the given value is the median of the column(s), percentile_rank(<median>) will return approximately 50.0).
optionsOptional parameters.
  • ADDITIONAL_COLUMN_NAMES: A list of comma separated column names over which statistics can be accumulated along with the primary column. All columns listed and must be of the same type. Must not include the column specified in and no column can be listed twice.
  • WEIGHT_COLUMN_NAME: Name of column used as weighting attribute for the weighted average statistic.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 1875 of file KineticaFunctions.cs.

AggregateStatisticsByRangeResponse kinetica.Kinetica.aggregateStatisticsByRange ( AggregateStatisticsByRangeRequest  request_)
inline

Divides the given set into bins and calculates statistics of the values of a value-column in each bin.

The bins are based on the values of a given binning-column. The statistics that may be requested are mean, stdv (standard deviation), variance, skew, kurtosis, sum, min, max, first, last and weighted average. In addition to the requested statistics the count of total samples in each bin is returned. This counts vector is just the histogram of the column used to divide the set members into bins. The weighted average statistic requires a weight_column to be specified in . The weighted average is then defined as the sum of the products of the value column times the weight column divided by the sum of the weight column.
There are two methods for binning the set members. In the first, which can be used for numeric valued binning-columns, a min, max and interval are specified. The number of bins, nbins, is the integer upper bound of (max-min)/interval. Values that fall in the range [min+n*interval,min+(n+1)*interval) are placed in the nth bin where n ranges from 0..nbin-2. The final bin is [min+(nbin-1)*interval,max]. In the second method, bin_values specifies a list of binning column values. Binning-columns whose value matches the nth member of the bin_values list are placed in the nth bin. When a list is provided the binning-column must be of type string or int.
NOTE: The Kinetica instance being accessed must be running a CUDA (GPU-based) build to service this request.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 1922 of file KineticaFunctions.cs.

AggregateStatisticsByRangeResponse kinetica.Kinetica.aggregateStatisticsByRange ( string  table_name,
string  select_expression,
string  column_name,
string  value_column_name,
string  stats,
double  start,
double  end,
double  interval,
IDictionary< string, string >  options = null 
)
inline

Divides the given set into bins and calculates statistics of the values of a value-column in each bin.

The bins are based on the values of a given binning-column. The statistics that may be requested are mean, stdv (standard deviation), variance, skew, kurtosis, sum, min, max, first, last and weighted average. In addition to the requested statistics the count of total samples in each bin is returned. This counts vector is just the histogram of the column used to divide the set members into bins. The weighted average statistic requires a weight_column to be specified in options . The weighted average is then defined as the sum of the products of the value column times the weight column divided by the sum of the weight column.
There are two methods for binning the set members. In the first, which can be used for numeric valued binning-columns, a min, max and interval are specified. The number of bins, nbins, is the integer upper bound of (max-min)/interval. Values that fall in the range [min+n*interval,min+(n+1)*interval) are placed in the nth bin where n ranges from 0..nbin-2. The final bin is [min+(nbin-1)*interval,max]. In the second method, options bin_values specifies a list of binning column values. Binning-columns whose value matches the nth member of the bin_values list are placed in the nth bin. When a list is provided the binning-column must be of type string or int.
NOTE: The Kinetica instance being accessed must be running a CUDA (GPU-based) build to service this request.

Parameters
table_nameName of the table on which the ranged-statistics operation will be performed.
select_expressionFor a non-empty expression statistics are calculated for those records for which the expression is true. The default value is ''.
column_nameName of the binning-column used to divide the set samples into bins.
value_column_nameName of the value-column for which statistics are to be computed.
statsA string of comma separated list of the statistics to calculate, e.g. 'sum,mean'. Available statistics: mean, stdv (standard deviation), variance, skew, kurtosis, sum.
startThe lower bound of the binning-column.
endThe upper bound of the binning-column.
intervalThe interval of a bin. Set members fall into bin i if the binning-column falls in the range [start+interval*i, start+interval*(i+1)).
optionsMap of optional parameters:
  • ADDITIONAL_COLUMN_NAMES: A list of comma separated value-column names over which statistics can be accumulated along with the primary value_column.
  • BIN_VALUES: A list of comma separated binning-column values. Values that match the nth bin_values value are placed in the nth bin.
  • WEIGHT_COLUMN_NAME: Name of the column used as weighting column for the weighted_average statistic.
  • ORDER_COLUMN_NAME: Name of the column used for candlestick charting techniques.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 2011 of file KineticaFunctions.cs.

AggregateUniqueResponse kinetica.Kinetica.aggregateUnique ( AggregateUniqueRequest  request_)
inline

Returns all the unique values from a particular column (specified by ) of a particular table or view (specified by ).

If is a numeric column the values will be in . Otherwise if is a string column the values will be in . The results can be paged via the and parameters.
Columns marked as store-only are unable to be used with this function.
To get the first 10 unique values sorted in descending order would be::
{"limit":"10","sort_order":"descending"}.
The response is returned as a dynamic schema. For details see: dynamic schemas documentation.
If a result_table name is specified in the , the results are stored in a new table with that name–no results are returned in the response. Both the table name and resulting column name must adhere to standard naming conventions; any column expression will need to be aliased. If the source table's shard key is used as the , the result table will be sharded, in all other cases it will be replicated. Sorting will properly function only if the result table is replicated or if there is only one processing node and should not be relied upon in other cases. Not available if the value of is an unrestricted-length string.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 2084 of file KineticaFunctions.cs.

AggregateUniqueResponse kinetica.Kinetica.aggregateUnique ( string  table_name,
string  column_name,
long  offset = 0,
long  limit = -9999,
IDictionary< string, string >  options = null 
)
inline

Returns all the unique values from a particular column (specified by column_name ) of a particular table or view (specified by table_name ).

If column_name is a numeric column the values will be in . Otherwise if column_name is a string column the values will be in . The results can be paged via the offset and limit parameters.
Columns marked as store-only are unable to be used with this function.
To get the first 10 unique values sorted in descending order options would be::
{"limit":"10","sort_order":"descending"}.
The response is returned as a dynamic schema. For details see: dynamic schemas documentation.
If a result_table name is specified in the options , the results are stored in a new table with that name–no results are returned in the response. Both the table name and resulting column name must adhere to standard naming conventions; any column expression will need to be aliased. If the source table's shard key is used as the column_name , the result table will be sharded, in all other cases it will be replicated. Sorting will properly function only if the result table is replicated or if there is only one processing node and should not be relied upon in other cases. Not available if the value of column_name is an unrestricted-length string.

Parameters
table_nameName of an existing table or view on which the operation will be performed.
column_nameName of the column or an expression containing one or more column names on which the unique function would be applied.
offsetA positive integer indicating the number of initial results to skip (this can be useful for paging through the results). The default value is 0.The minimum allowed value is 0. The maximum allowed value is MAX_INT.
limitA positive integer indicating the maximum number of results to be returned. Or END_OF_SET (-9999) to indicate that the max number of results should be returned. The number of records returned will never exceed the server's own limit, defined by the max_get_records_size parameter in the server configuration. Use <member name="has_more_records"> to see if more records exist in the result to be fetched, and & to request subsequent pages of results. The default value is -9999.
optionsOptional parameters.
  • COLLECTION_NAME: Name of a collection which is to contain the table specified in result_table. If the collection provided is non-existent, the collection will be automatically created. If empty, then the table will be a top-level table.
  • EXPRESSION: Optional filter expression to apply to the table.
  • SORT_ORDER: String indicating how the returned values should be sorted. Supported values: The default value is ASCENDING.
  • RESULT_TABLE: The name of the table used to store the results. If present, no results are returned in the response. Has the same naming restrictions as tables. Not available if is an unrestricted-length string.
  • RESULT_TABLE_PERSIST: If true, then the result table specified in result_table will be persisted and will not expire unless a ttl is specified. If false, then the result table will be an in-memory table and will expire unless a ttl is specified otherwise. Supported values: The default value is FALSE.
  • RESULT_TABLE_FORCE_REPLICATED: Force the result table to be replicated (ignores any sharding). Must be used in combination with the result_table option. Supported values: The default value is FALSE.
  • RESULT_TABLE_GENERATE_PK: If true then set a primary key for the result table. Must be used in combination with the result_table option. Supported values: The default value is FALSE.
  • TTL: Sets the TTL of the table specified in result_table.
  • CHUNK_SIZE: Indicates the number of records per chunk to be used for the result table. Must be used in combination with the result_table option.
  • VIEW_ID: ID of view of which the result table will be a member. The default value is ''.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 2291 of file KineticaFunctions.cs.

AggregateUnpivotResponse kinetica.Kinetica.aggregateUnpivot ( AggregateUnpivotRequest  request_)
inline

Rotate the column values into rows values.


For unpivot details and examples, see Unpivot. For limitations, see Unpivot Limitations.
Unpivot is used to normalize tables that are built for cross tabular reporting purposes. The unpivot operator rotates the column values for all the pivoted columns. A variable column, value column and all columns from the source table except the unpivot columns are projected into the result table. The variable column and value columns in the result table indicate the pivoted column name and values respectively.
The response is returned as a dynamic schema. For details see: dynamic schemas documentation.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 2327 of file KineticaFunctions.cs.

AggregateUnpivotResponse kinetica.Kinetica.aggregateUnpivot ( string  table_name,
IList< string >  column_names,
string  variable_column_name,
string  value_column_name,
IList< string >  pivoted_columns,
IDictionary< string, string >  options = null 
)
inline

Rotate the column values into rows values.


For unpivot details and examples, see Unpivot. For limitations, see Unpivot Limitations.
Unpivot is used to normalize tables that are built for cross tabular reporting purposes. The unpivot operator rotates the column values for all the pivoted columns. A variable column, value column and all columns from the source table except the unpivot columns are projected into the result table. The variable column and value columns in the result table indicate the pivoted column name and values respectively.
The response is returned as a dynamic schema. For details see: dynamic schemas documentation.

Parameters
table_nameName of the table on which the operation will be performed. Must be an existing table/view.
column_namesList of column names or expressions. A wildcard '*' can be used to include all the non-pivoted columns from the source table.
variable_column_nameSpecifies the variable/parameter column name. The default value is ''.
value_column_nameSpecifies the value column name. The default value is ''.
pivoted_columnsList of one or more values typically the column names of the input table. All the columns in the source table must have the same data type.
optionsOptional parameters.
  • COLLECTION_NAME: Name of a collection which is to contain the table specified in result_table. If the collection provided is non-existent, the collection will be automatically created. If empty, then the table will be a top-level table.
  • RESULT_TABLE: The name of the table used to store the results. Has the same naming restrictions as tables. If present, no results are returned in the response.
  • RESULT_TABLE_PERSIST: If true, then the result table specified in result_table will be persisted and will not expire unless a ttl is specified. If false, then the result table will be an in-memory table and will expire unless a ttl is specified otherwise. Supported values: The default value is FALSE.
  • EXPRESSION: Filter expression to apply to the table prior to unpivot processing.
  • ORDER_BY: Comma-separated list of the columns to be sorted by; e.g. 'timestamp asc, x desc'. The columns specified must be present in input table. If any alias is given for any column name, the alias must be used, rather than the original column name. The default value is ''.
  • CHUNK_SIZE: Indicates the number of records per chunk to be used for the result table. Must be used in combination with the result_table option.
  • LIMIT: The number of records to keep. The default value is ''.
  • TTL: Sets the TTL of the table specified in result_table.
  • VIEW_ID: view this result table is part of. The default value is ''.
  • MATERIALIZE_ON_GPU: No longer used. See Resource Management Concepts for information about how resources are managed, Tier Strategy Concepts for how resources are targeted for VRAM, and Tier Strategy Usage for how to specify a table's priority in VRAM. Supported values: The default value is FALSE.
  • CREATE_INDEXES: Comma-separated list of columns on which to create indexes on the table specified in result_table. The columns specified must be present in output column names. If any alias is given for any column name, the alias must be used, rather than the original column name.
  • RESULT_TABLE_FORCE_REPLICATED: Force the result table to be replicated (ignores any sharding). Must be used in combination with the result_table option. Supported values: The default value is FALSE.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 2512 of file KineticaFunctions.cs.

AlterResourceGroupResponse kinetica.Kinetica.alterResourceGroup ( AlterResourceGroupRequest  request_)
inline

Alters the properties of an exisiting resource group to facilitate resource management.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 2536 of file KineticaFunctions.cs.

AlterResourceGroupResponse kinetica.Kinetica.alterResourceGroup ( string  name,
IDictionary< string, IDictionary< string, string >>  tier_attributes = null,
string  ranking = AlterResourceGroupRequest.Ranking.EMPTY_STRING,
string  adjoining_resource_group = "",
IDictionary< string, string >  options = null 
)
inline

Alters the properties of an exisiting resource group to facilitate resource management.

Parameters
nameName of the group to be altered. Must be an existing resource group name.
tier_attributesOptional map containing tier names and their respective attribute group limits. The only valid attribute limit that can be set is max_memory (in bytes) for the VRAM & RAM tiers. For instance, to set max VRAM capacity to 1GB and max RAM capacity to 10GB, use: {'VRAM':{'max_memory':'1000000000'}, 'RAM':{'max_memory':'10000000000'}}
  • MAX_MEMORY: Maximum amount of memory usable in the given tier at one time for this group.
The default value is an empty Dictionary.
rankingIf the resource group ranking is to be updated, this indicates the relative ranking among existing resource groups where this resource group will be moved; leave blank if not changing the ranking. When using before or after, specify which resource group this one will be inserted before or after in . Supported values: The default value is EMPTY_STRING.
adjoining_resource_groupIf is before or after, this field indicates the resource group before or after which the current group will be placed; otherwise, leave blank. The default value is ''.
optionsOptional parameters.
  • MAX_CPU_CONCURRENCY: Maximum number of simultaneous threads that will be used to execute a request for this group.
  • MAX_SCHEDULING_PRIORITY: Maximum priority of a scheduled task for this group.
  • MAX_TIER_PRIORITY: Maximum priority of a tiered object for this group.
  • IS_DEFAULT_GROUP: If true, this request applies to the global default resource group. It is an error for this field to be true when the field is also populated. Supported values: The default value is FALSE.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 2650 of file KineticaFunctions.cs.

AlterRoleResponse kinetica.Kinetica.alterRole ( AlterRoleRequest  request_)
inline

Alters a Role.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 2672 of file KineticaFunctions.cs.

AlterRoleResponse kinetica.Kinetica.alterRole ( string  name,
string  action,
string  _value,
IDictionary< string, string >  options = null 
)
inline

Alters a Role.

Parameters
nameName of the role to be altered. Must be an existing role.
actionModification operation to be applied to the role. Supported values:
  • SET_RESOURCE_GROUP: Sets the resource group for an internal role. The resource group must exist, otherwise, an empty string assigns the role to the default resource group.
_valueThe value of the modification, depending on .
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 2704 of file KineticaFunctions.cs.

AlterSystemPropertiesResponse kinetica.Kinetica.alterSystemProperties ( AlterSystemPropertiesRequest  request_)
inline

The Kinetica.alterSystemProperties(IDictionary{string, string},IDictionary{string, string}) endpoint is primarily used to simplify the testing of the system and is not expected to be used during normal execution.

Commands are given through the whose keys are commands and values are strings representing integer values (for example '8000') or boolean values ('true' or 'false').

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 2729 of file KineticaFunctions.cs.

AlterSystemPropertiesResponse kinetica.Kinetica.alterSystemProperties ( IDictionary< string, string >  property_updates_map,
IDictionary< string, string >  options = null 
)
inline

The Kinetica.alterSystemProperties(IDictionary{string, string},IDictionary{string, string}) endpoint is primarily used to simplify the testing of the system and is not expected to be used during normal execution.

Commands are given through the property_updates_map whose keys are commands and values are strings representing integer values (for example '8000') or boolean values ('true' or 'false').

Parameters
property_updates_mapMap containing the properties of the system to be updated. Error if empty.
  • SM_OMP_THREADS: Set the number of OpenMP threads that will be used to service filter & aggregation requests against collections to the specified integer value.
  • KERNEL_OMP_THREADS: Set the number of kernel OpenMP threads to the specified integer value.
  • CONCURRENT_KERNEL_EXECUTION: Enables concurrent kernel execution if the value is true and disables it if the value is false. Supported values:
  • SUBTASK_CONCURRENCY_LIMIT: Sets the maximum number of simultaneous threads allocated to a given request, on each rank. Note that thread allocation may also be limted by resource group limits and/or system load.
  • CHUNK_SIZE: Sets the number of records per chunk to be used for all new tables.
  • EVICT_COLUMNS: Attempts to evict columns from memory to the persistent store. Value string is a semicolon separated list of entries, each entry being a table name optionally followed by a comma and a comma separated list of column names to attempt to evict. An empty value string will attempt to evict all tables and columns.
  • EXECUTION_MODE: Sets the execution_mode for kernel executions to the specified string value. Possible values are host, device, default (engine decides) or an integer value that indicates max chunk size to exec on host
  • EXTERNAL_FILES_DIRECTORY: Sets the root directory path where external table data files are accessed from. Path must exist on the head node
  • FLUSH_TO_DISK: Flushes any changes to any tables to the persistent store. These changes include updates to the vector store, object store, and text search store, Value string is ignored
  • CLEAR_CACHE: Clears cached results. Useful to allow repeated timing of endpoints. Value string is the name of the table for which to clear the cached results, or an empty string to clear the cached results for all tables.
  • COMMUNICATOR_TEST: Invoke the communicator test and report timing results. Value string is is a semicolon separated list of [key]=[value] expressions. Expressions are: num_transactions=[num] where num is the number of request reply transactions to invoke per test; message_size=[bytes] where bytes is the size in bytes of the messages to send; check_values=[enabled] where if enabled is true the value of the messages received are verified.
  • SET_MESSAGE_TIMERS_ENABLED: Enables the communicator test to collect additional timing statistics when the value string is true. Disables the collection when the value string is false Supported values:
  • NETWORK_SPEED: Invoke the network speed test and report timing results. Value string is a semicolon-separated list of [key]=[value] expressions. Valid expressions are: seconds=[time] where time is the time in seconds to run the test; data_size=[bytes] where bytes is the size in bytes of the block to be transferred; threads=[number of threads]; to_ranks=[space-separated list of ranks] where the list of ranks is the ranks that rank 0 will send data to and get data from. If to_ranks is unspecified then all worker ranks are used.
  • REQUEST_TIMEOUT: Number of minutes after which filtering (e.g., /filter) and aggregating (e.g., /aggregate/groupby) queries will timeout. The default value is '20'.
  • MAX_GET_RECORDS_SIZE: The maximum number of records the database will serve for a given data retrieval call. The default value is '20000'.
  • ENABLE_AUDIT: Enable or disable auditing.
  • AUDIT_HEADERS: Enable or disable auditing of request headers.
  • AUDIT_BODY: Enable or disable auditing of request bodies.
  • AUDIT_DATA: Enable or disable auditing of request data.
  • SHADOW_AGG_SIZE: Size of the shadow aggregate chunk cache in bytes. The default value is '10000000'.
  • SHADOW_FILTER_SIZE: Size of the shdow filter chunk cache in bytes. The default value is '10000000'.
  • SYNCHRONOUS_COMPRESSION: compress vector on set_compression (instead of waiting for background thread). The default value is 'false'.
  • ENABLE_OVERLAPPED_EQUI_JOIN: Enable overlapped-equi-join filter. The default value is 'true'.
  • ENABLE_COMPOUND_EQUI_JOIN: Enable compound-equi-join filter plan type. The default value is 'false'.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 2953 of file KineticaFunctions.cs.

AlterTableResponse kinetica.Kinetica.alterTable ( AlterTableRequest  request_)
inline

Apply various modifications to a table, view, or collection.

The available modifications include the following:
Manage a table's columns–a column can be added, removed, or have its type and properties modified, including whether it is compressed or not.
Create or delete an index on a particular column. This can speed up certain operations when using expressions containing equality or relational operators on indexed columns. This only applies to tables.
Create or delete a foreign key on a particular column.
Manage a range-partitioned or a manual list-partitioned table's partitions.
Set (or reset) the tier strategy of a table or view.
Refresh and manage the refresh mode of a materialized view.
Set the time-to-live (TTL). This can be applied to tables, views, or collections. When applied to collections, every contained table & view that is not protected will have its TTL set to the given value.
Set the global access mode (i.e. locking) for a table. This setting trumps any role-based access controls that may be in place; e.g., a user with write access to a table marked read-only will not be able to insert records into it. The mode can be set to read-only, write-only, read/write, and no access.
Change the protection mode to prevent or allow automatic expiration. This can be applied to tables, views, and collections.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 3028 of file KineticaFunctions.cs.

AlterTableResponse kinetica.Kinetica.alterTable ( string  table_name,
string  action,
string  _value,
IDictionary< string, string >  options = null 
)
inline

Apply various modifications to a table, view, or collection.

The available modifications include the following:
Manage a table's columns–a column can be added, removed, or have its type and properties modified, including whether it is compressed or not.
Create or delete an index on a particular column. This can speed up certain operations when using expressions containing equality or relational operators on indexed columns. This only applies to tables.
Create or delete a foreign key on a particular column.
Manage a range-partitioned or a manual list-partitioned table's partitions.
Set (or reset) the tier strategy of a table or view.
Refresh and manage the refresh mode of a materialized view.
Set the time-to-live (TTL). This can be applied to tables, views, or collections. When applied to collections, every contained table & view that is not protected will have its TTL set to the given value.
Set the global access mode (i.e. locking) for a table. This setting trumps any role-based access controls that may be in place; e.g., a user with write access to a table marked read-only will not be able to insert records into it. The mode can be set to read-only, write-only, read/write, and no access.
Change the protection mode to prevent or allow automatic expiration. This can be applied to tables, views, and collections.

Parameters
table_nameTable on which the operation will be performed. Must be an existing table, view, or collection.
actionModification operation to be applied Supported values:
_valueThe value of the modification, depending on . For example, if is add_column, this would be the column name; while the column's definition would be covered by the column_type, column_properties, column_default_value, and add_column_expression in . If is ttl, it would be the number of minutes for the new TTL. If is refresh, this field would be blank.
optionsOptional parameters.
  • ACTION:
  • COLUMN_NAME:
  • TABLE_NAME:
  • COLUMN_DEFAULT_VALUE: When adding a column, set a default value for existing records. For nullable columns, the default value will be null, regardless of data type.
  • COLUMN_PROPERTIES: When adding or changing a column, set the column properties (strings, separated by a comma: data, store_only, text_search, char8, int8 etc).
  • COLUMN_TYPE: When adding or changing a column, set the column type (strings, separated by a comma: int, double, string, null etc).
  • COMPRESSION_TYPE: When setting column compression (set_column_compression for ), compression type to use: none (to use no compression) or a valid compression type. Supported values: The default value is SNAPPY.
  • COPY_VALUES_FROM_COLUMN: Deprecated. Please use add_column_expression instead.
  • RENAME_COLUMN: When changing a column, specify new column name.
  • VALIDATE_CHANGE_COLUMN: When changing a column, validate the change before applying it. If true, then validate all values. A value too large (or too long) for the new type will prevent any change. If false, then when a value is too large or long, it will be truncated. Supported values: The default value is TRUE.
  • UPDATE_LAST_ACCESS_TIME: Indicates whether the time-to-live (TTL) expiration countdown timer should be reset to the table's TTL. Supported values:
    • TRUE: Reset the expiration countdown timer to the table's configured TTL.
    • FALSE: Don't reset the timer; expiration countdown will continue from where it is, as if the table had not been accessed.
    The default value is TRUE.
  • ADD_COLUMN_EXPRESSION: When adding a column, an optional expression to use for the new column's values. Any valid expression may be used, including one containing references to existing columns in the same table.
  • STRATEGY_DEFINITION: Optional parameter for specifying the tier strategy for the table and its columns when is set_strategy_definition, replacing the existing tier strategy in its entirety. See tier strategy usage for format and tier strategy examples for examples. This option will be ignored if is also specified.
  • INDEX_TYPE: Type of index to create, when is create_index, or to delete, when is delete_index. Supported values: The default value is COLUMN.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 3519 of file KineticaFunctions.cs.

AlterTableColumnsResponse kinetica.Kinetica.alterTableColumns ( AlterTableColumnsRequest  request_)
inline

Apply various modifications to columns in a table, view.

The available modifications include the following:
Create or delete an index on a particular column. This can speed up certain operations when using expressions containing equality or relational operators on indexed columns. This only applies to tables.
Manage a table's columns–a column can be added, removed, or have its type and properties modified.
Set or unset compression for a column.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 3555 of file KineticaFunctions.cs.

AlterTableColumnsResponse kinetica.Kinetica.alterTableColumns ( string  table_name,
IList< IDictionary< string, string >>  column_alterations,
IDictionary< string, string >  options 
)
inline

Apply various modifications to columns in a table, view.

The available modifications include the following:
Create or delete an index on a particular column. This can speed up certain operations when using expressions containing equality or relational operators on indexed columns. This only applies to tables.
Manage a table's columns–a column can be added, removed, or have its type and properties modified.
Set or unset compression for a column.

Parameters
table_nameTable on which the operation will be performed. Must be an existing table or view.
column_alterationslist of alter table add/delete/change column requests - all for the same table. each request is a map that includes 'column_name', 'action' and the options specific for the action, note that the same options as in alter table requests but in the same map as the column name and the action. For example: [{'column_name':'col_1','action':'change_column','rename_column':'col_2'}, {'column_name':'col_1','action':'add_column', 'type':'int','default_value':'1'} ]
optionsOptional parameters.
Returns
Response object containing the result of the operation.

Definition at line 3602 of file KineticaFunctions.cs.

AlterTableMetadataResponse kinetica.Kinetica.alterTableMetadata ( AlterTableMetadataRequest  request_)
inline

Updates (adds or changes) metadata for tables.

The metadata key and values must both be strings. This is an easy way to annotate whole tables rather than single records within tables. Some examples of metadata are owner of the table, table creation timestamp etc.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 3624 of file KineticaFunctions.cs.

AlterTableMetadataResponse kinetica.Kinetica.alterTableMetadata ( IList< string >  table_names,
IDictionary< string, string >  metadata_map,
IDictionary< string, string >  options = null 
)
inline

Updates (adds or changes) metadata for tables.

The metadata key and values must both be strings. This is an easy way to annotate whole tables rather than single records within tables. Some examples of metadata are owner of the table, table creation timestamp etc.

Parameters
table_namesNames of the tables whose metadata will be updated. All specified tables must exist, or an error will be returned.
metadata_mapA map which contains the metadata of the tables that are to be updated. Note that only one map is provided for all the tables; so the change will be applied to every table. If the provided map is empty, then all existing metadata for the table(s) will be cleared.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 3652 of file KineticaFunctions.cs.

AlterTierResponse kinetica.Kinetica.alterTier ( AlterTierRequest  request_)
inline

Alters properties of an exisiting tier to facilitate resource management.


To disable watermark-based eviction, set both high_watermark and low_watermark to 100.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 3678 of file KineticaFunctions.cs.

AlterTierResponse kinetica.Kinetica.alterTier ( string  name,
IDictionary< string, string >  options = null 
)
inline

Alters properties of an exisiting tier to facilitate resource management.


To disable watermark-based eviction, set both high_watermark and low_watermark to 100.

Parameters
nameName of the tier to be altered. Must be an existing tier group name.
optionsOptional parameters.
  • CAPACITY: Maximum size in bytes this tier may hold at once.
  • HIGH_WATERMARK: Threshold of usage of this tier's resource that, once exceeded, will trigger watermark-based eviction from this tier.
  • LOW_WATERMARK: Threshold of resource usage that, once fallen below after crossing the high_watermark, will cease watermark-based eviction from this tier.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 3726 of file KineticaFunctions.cs.

AlterUserResponse kinetica.Kinetica.alterUser ( AlterUserRequest  request_)
inline

Alters a user.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 3741 of file KineticaFunctions.cs.

AlterUserResponse kinetica.Kinetica.alterUser ( string  name,
string  action,
string  _value,
IDictionary< string, string >  options = null 
)
inline

Alters a user.

Parameters
nameName of the user to be altered. Must be an existing user.
actionModification operation to be applied to the user. Supported values:
  • SET_PASSWORD: Sets the password of the user. The user must be an internal user.
  • SET_RESOURCE_GROUP: Sets the resource group for an internal user. The resource group must exist, otherwise, an empty string assigns the user to the default resource group.
_valueThe value of the modification, depending on .
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 3779 of file KineticaFunctions.cs.

AppendRecordsResponse kinetica.Kinetica.appendRecords ( AppendRecordsRequest  request_)
inline

Append (or insert) all records from a source table (specified by ) to a particular target table (specified by ).

The field map (specified by ) holds the user specified map of target table column names with their mapped source column names.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 3803 of file KineticaFunctions.cs.

AppendRecordsResponse kinetica.Kinetica.appendRecords ( string  table_name,
string  source_table_name,
IDictionary< string, string >  field_map,
IDictionary< string, string >  options = null 
)
inline

Append (or insert) all records from a source table (specified by source_table_name ) to a particular target table (specified by table_name ).

The field map (specified by field_map ) holds the user specified map of target table column names with their mapped source column names.

Parameters
table_nameThe table name for the records to be appended. Must be an existing table.
source_table_nameThe source table name to get records from. Must be an existing table name.
field_mapContains the mapping of column names from the target table (specified by ) as the keys, and corresponding column names or expressions (e.g., 'col_name+1') from the source table (specified by ). Must be existing column names in source table and target table, and their types must be matched. For details on using expressions, see Expressions.
optionsOptional parameters.
  • OFFSET: A positive integer indicating the number of initial results to skip from . Default is 0. The minimum allowed value is 0. The maximum allowed value is MAX_INT. The default value is '0'.
  • LIMIT: A positive integer indicating the maximum number of results to be returned from . Or END_OF_SET (-9999) to indicate that the max number of results should be returned. The default value is '-9999'.
  • EXPRESSION: Optional filter expression to apply to the . The default value is ''.
  • ORDER_BY: Comma-separated list of the columns to be sorted by from source table (specified by ), e.g., 'timestamp asc, x desc'. The order_by columns do not have to be present in . The default value is ''.
  • UPDATE_ON_EXISTING_PK: Specifies the record collision policy for inserting the source table records (specified by ) into the target table (specified by ) table with a primary key. If set to true, any existing target table record with primary key values that match those of a source table record being inserted will be replaced by that new record. If set to false, any existing target table record with primary key values that match those of a source table record being inserted will remain unchanged and the new record discarded. If the specified table does not have a primary key, then this option is ignored. Supported values: The default value is FALSE.
  • TRUNCATE_STRINGS: If set to true, it allows inserting longer strings into smaller charN string columns by truncating the longer strings to fit. Supported values: The default value is FALSE.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 3926 of file KineticaFunctions.cs.

ClearStatisticsResponse kinetica.Kinetica.clearStatistics ( ClearStatisticsRequest  request_)
inline

Clears statistics (cardinality, mean value, etc.) for a column in a specified table.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 3945 of file KineticaFunctions.cs.

ClearStatisticsResponse kinetica.Kinetica.clearStatistics ( string  table_name = "",
string  column_name = "",
IDictionary< string, string >  options = null 
)
inline

Clears statistics (cardinality, mean value, etc.) for a column in a specified table.

Parameters
table_nameName of a table. Must be an existing table. The default value is ''.
column_nameName of the column in for which to clear statistics. The column must be from an existing table. An empty string clears statistics for all columns in the table. The default value is ''.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 3969 of file KineticaFunctions.cs.

ClearTableResponse kinetica.Kinetica.clearTable ( ClearTableRequest  request_)
inline

Clears (drops) one or all tables in the database cluster.

The operation is synchronous meaning that the table will be cleared before the function returns. The response payload returns the status of the operation along with the name of the table that was cleared.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 3990 of file KineticaFunctions.cs.

ClearTableResponse kinetica.Kinetica.clearTable ( string  table_name = "",
string  authorization = "",
IDictionary< string, string >  options = null 
)
inline

Clears (drops) one or all tables in the database cluster.

The operation is synchronous meaning that the table will be cleared before the function returns. The response payload returns the status of the operation along with the name of the table that was cleared.

Parameters
table_nameName of the table to be cleared. Must be an existing table. Empty string clears all available tables, though this behavior is be prevented by default via gpudb.conf parameter 'disable_clear_all'. The default value is ''.
authorizationNo longer used. User can pass an empty string. The default value is ''.
optionsOptional parameters.
  • NO_ERROR_IF_NOT_EXISTS: If true and if the table specified in does not exist no error is returned. If false and if the table specified in does not exist then an error is returned. Supported values: The default value is FALSE.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 4040 of file KineticaFunctions.cs.

ClearTableMonitorResponse kinetica.Kinetica.clearTableMonitor ( ClearTableMonitorRequest  request_)
inline

Deactivates a table monitor previously created with Kinetica.createTableMonitor(string,IDictionary{string, string}).

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 4058 of file KineticaFunctions.cs.

ClearTableMonitorResponse kinetica.Kinetica.clearTableMonitor ( string  topic_id,
IDictionary< string, string >  options = null 
)
inline

Deactivates a table monitor previously created with Kinetica.createTableMonitor(string,IDictionary{string, string}).

Parameters
topic_idThe topic ID returned by /create/tablemonitor.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 4078 of file KineticaFunctions.cs.

ClearTriggerResponse kinetica.Kinetica.clearTrigger ( ClearTriggerRequest  request_)
inline

Clears or cancels the trigger identified by the specified handle.

The output returns the handle of the trigger cleared as well as indicating success or failure of the trigger deactivation.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 4096 of file KineticaFunctions.cs.

ClearTriggerResponse kinetica.Kinetica.clearTrigger ( string  trigger_id,
IDictionary< string, string >  options = null 
)
inline

Clears or cancels the trigger identified by the specified handle.

The output returns the handle of the trigger cleared as well as indicating success or failure of the trigger deactivation.

Parameters
trigger_idID for the trigger to be deactivated.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 4117 of file KineticaFunctions.cs.

CollectStatisticsResponse kinetica.Kinetica.collectStatistics ( CollectStatisticsRequest  request_)
inline

Collect statistics for a column(s) in a specified table.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 4133 of file KineticaFunctions.cs.

CollectStatisticsResponse kinetica.Kinetica.collectStatistics ( string  table_name,
IList< string >  column_names,
IDictionary< string, string >  options = null 
)
inline

Collect statistics for a column(s) in a specified table.

Parameters
table_nameName of a table. Must be an existing table.
column_namesList of one or more column names in for which to collect statistics (cardinality, mean value, etc.).
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 4155 of file KineticaFunctions.cs.

CreateGraphResponse kinetica.Kinetica.createGraph ( CreateGraphRequest  request_)
inline

Creates a new graph network using given nodes, edges, weights, and restrictions.


IMPORTANT: It's highly recommended that you review the Network Graphs & Solvers concepts documentation, the Graph REST Tutorial, and/or some graph examples before using this endpoint.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 4441 of file KineticaFunctions.cs.

CreateGraphResponse kinetica.Kinetica.createGraph ( string  graph_name,
bool  directed_graph,
IList< string >  nodes,
IList< string >  edges,
IList< string >  weights,
IList< string >  restrictions,
IDictionary< string, string >  options = null 
)
inline

Creates a new graph network using given nodes, edges, weights, and restrictions.


IMPORTANT: It's highly recommended that you review the Network Graphs & Solvers concepts documentation, the Graph REST Tutorial, and/or some graph examples before using this endpoint.

Parameters
graph_nameName of the graph resource to generate.
directed_graphIf set to true, the graph will be directed. If set to false, the graph will not be directed. Consult Directed Graphs for more details. Supported values: The default value is TRUE.
nodesNodes represent fundamental topological units of a graph. Nodes must be specified using identifiers; identifiers are grouped as combinations. Identifiers can be used with existing column names, e.g., 'table.column AS NODE_ID', expressions, e.g., 'ST_MAKEPOINT(column1, column2) AS NODE_WKTPOINT', or constant values, e.g., '{9, 10, 11} AS NODE_ID'. If using constant values in an identifier combination, the number of values specified must match across the combination.
edgesEdges represent the required fundamental topological unit of a graph that typically connect nodes. Edges must be specified using identifiers; identifiers are grouped as combinations. Identifiers can be used with existing column names, e.g., 'table.column AS EDGE_ID', expressions, e.g., 'SUBSTR(column, 1, 6) AS EDGE_NODE1_NAME', or constant values, e.g., "{'family', 'coworker'} AS EDGE_LABEL". If using constant values in an identifier combination, the number of values specified must match across the combination.
weightsWeights represent a method of informing the graph solver of the cost of including a given edge in a solution. Weights must be specified using identifiers; identifiers are grouped as combinations. Identifiers can be used with existing column names, e.g., 'table.column AS WEIGHTS_EDGE_ID', expressions, e.g., 'ST_LENGTH(wkt) AS WEIGHTS_VALUESPECIFIED', or constant values, e.g., '{4, 15} AS WEIGHTS_VALUESPECIFIED'. If using constant values in an identifier combination, the number of values specified must match across the combination.
restrictionsRestrictions represent a method of informing the graph solver which edges and/or nodes should be ignored for the solution. Restrictions must be specified using identifiers; identifiers are grouped as combinations. Identifiers can be used with existing column names, e.g., 'table.column AS RESTRICTIONS_EDGE_ID', expressions, e.g., 'column/2 AS RESTRICTIONS_VALUECOMPARED', or constant values, e.g., '{0, 0, 0, 1} AS RESTRICTIONS_ONOFFCOMPARED'. If using constant values in an identifier combination, the number of values specified must match across the combination.
optionsOptional parameters.
  • RESTRICTION_THRESHOLD_VALUE: Value-based restriction comparison. Any node or edge with a RESTRICTIONS_VALUECOMPARED value greater than the restriction_threshold_value will not be included in the graph.
  • MERGE_TOLERANCE: If node geospatial positions are input (e.g., WKTPOINT, X, Y), determines the minimum separation allowed between unique nodes. If nodes are within the tolerance of each other, they will be merged as a single node. The default value is '1.0E-4'.
  • MIN_X: Minimum x (longitude) value for spatial graph associations. The default value is '-180.0'.
  • MAX_X: Maximum x (longitude) value for spatial graph associations. The default value is '180.0'.
  • MIN_Y: Minimum y (latitude) value for spatial graph associations. The default value is '-90.0'.
  • MAX_Y: Maximum y (latitude) value for spatial graph associations. The default value is '90.0'.
  • RECREATE: If set to true and the graph (using ) already exists, the graph is deleted and recreated. Supported values: The default value is FALSE.
  • MODIFY: If set to true, recreate is set to true, and the graph (specified using ) already exists, the graph is updated with the given components. Supported values: The default value is FALSE.
  • EXPORT_CREATE_RESULTS: If set to true, returns the graph topology in the response as arrays. Supported values: The default value is FALSE.
  • ENABLE_GRAPH_DRAW: If set to true, adds a 'EDGE_WKTLINE' column identifier to the specified graph_table so the graph can be viewed via WMS; for social and non-geospatial graphs, the 'EDGE_WKTLINE' column identifier will be populated with spatial coordinates derived from a flattening layout algorithm so the graph can still be viewed. Supported values: The default value is FALSE.
  • SAVE_PERSIST: If set to true, the graph will be saved in the persist directory (see the config reference for more information). If set to false, the graph will be removed when the graph server is shutdown. Supported values: The default value is FALSE.
  • SYNC_DB: If set to true and save_persist is set to true, the graph will be fully reconstructed upon a database restart and be updated to align with any source table(s) updates made since the creation of the graph. If dynamic graph updates upon table inserts are desired, use add_table_monitor instead. Supported values: The default value is FALSE.
  • ADD_TABLE_MONITOR: Adds a table monitor to every table used in the creation of the graph; this table monitor will trigger the graph to update dynamically upon inserts to the source table(s). Note that upon database restart, if save_persist is also set to true, the graph will be fully reconstructed and the table monitors will be reattached. For more details on table monitors, see /create/tablemonitor. Supported values: The default value is FALSE.
  • GRAPH_TABLE: If specified, the created graph is also created as a table with the given name and following identifier columns: 'EDGE_ID', 'EDGE_NODE1_ID', 'EDGE_NODE2_ID'. If left blank, no table is created. The default value is ''.
  • REMOVE_LABEL_ONLY: When RESTRICTIONS on labeled entities requested, if set to true this will NOT delete the entity but only the label associated with the entity. Otherwise (default), it'll delete the label AND the entity. Supported values: The default value is FALSE.
  • ADD_TURNS: Adds dummy 'pillowed' edges around intersection nodes where there are more than three edges so that additional weight penalties can be imposed by the solve endpoints. (increases the total number of edges). Supported values: The default value is FALSE.
  • TURN_ANGLE: Value in degrees modifies the thresholds for attributing right, left, sharp turns, and intersections. It is the vertical deviation angle from the incoming edge to the intersection node. The larger the value, the larger the threshold for sharp turns and intersections; the smaller the value, the larger the threshold for right and left turns; 0 < turn_angle < 90. The default value is '60'.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 4812 of file KineticaFunctions.cs.

CreateJobResponse kinetica.Kinetica.createJob ( CreateJobRequest  request_)
inline

Create a job which will run asynchronously.

The response returns a job ID, which can be used to query the status and result of the job. The status and the result of the job upon completion can be requested by Kinetica.getJob(long,IDictionary{string, string}).

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 4839 of file KineticaFunctions.cs.

CreateJobResponse kinetica.Kinetica.createJob ( string  endpoint,
string  request_encoding,
byte[]  data,
string  data_str,
IDictionary< string, string >  options = null 
)
inline

Create a job which will run asynchronously.

The response returns a job ID, which can be used to query the status and result of the job. The status and the result of the job upon completion can be requested by Kinetica.getJob(long,IDictionary{string, string}).

Parameters
endpointIndicates which endpoint to execute, e.g. '/alter/table'.
request_encodingThe encoding of the request payload for the job. Supported values: The default value is BINARY.
dataBinary-encoded payload for the job to be run asynchronously. The payload must contain the relevant input parameters for the endpoint indicated in . Please see the documentation for the appropriate endpoint to see what values must (or can) be specified. If this parameter is used, then must be binary or snappy.
data_strJSON-encoded payload for the job to be run asynchronously. The payload must contain the relevant input parameters for the endpoint indicated in . Please see the documentation for the appropriate endpoint to see what values must (or can) be specified. If this parameter is used, then must be json.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 4898 of file KineticaFunctions.cs.

CreateJoinTableResponse kinetica.Kinetica.createJoinTable ( CreateJoinTableRequest  request_)
inline

Creates a table that is the result of a SQL JOIN.


For join details and examples see: Joins. For limitations, see Join Limitations and Cautions.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 4923 of file KineticaFunctions.cs.

CreateJoinTableResponse kinetica.Kinetica.createJoinTable ( string  join_table_name,
IList< string >  table_names,
IList< string >  column_names,
IList< string >  expressions = null,
IDictionary< string, string >  options = null 
)
inline

Creates a table that is the result of a SQL JOIN.


For join details and examples see: Joins. For limitations, see Join Limitations and Cautions.

Parameters
join_table_nameName of the join table to be created. Has the same naming restrictions as tables.
table_namesThe list of table names composing the join. Corresponds to a SQL statement FROM clause.
column_namesList of member table columns or column expressions to be included in the join. Columns can be prefixed with 'table_id.column_name', where 'table_id' is the table name or alias. Columns can be aliased via the syntax 'column_name as alias'. Wild cards '*' can be used to include all columns across member tables or 'table_id.*' for all of a single table's columns. Columns and column expressions composing the join must be uniquely named or aliased–therefore, the '*' wild card cannot be used if column names aren't unique across all tables.
expressionsAn optional list of expressions to combine and filter the joined tables. Corresponds to a SQL statement WHERE clause. For details see: expressions. The default value is an empty List.
optionsOptional parameters.
  • COLLECTION_NAME: Name of a collection which is to contain the join. If the collection provided is non-existent, the collection will be automatically created. If empty, then the join will be at the top level. The default value is ''.
  • MAX_QUERY_DIMENSIONS: Obsolete in GPUdb v7.0
  • OPTIMIZE_LOOKUPS: Use more memory to speed up the joining of tables. Supported values: The default value is FALSE.
  • TTL: Sets the TTL of the join table specified in .
  • VIEW_ID: view this projection is part of. The default value is ''.
  • NO_COUNT: return a count of 0 for the join table for logging and for show_table. optimization needed for large overlapped equi-join stencils. The default value is 'false'.
  • CHUNK_SIZE: Maximum number of records per joined-chunk for this table. Defaults to the gpudb.conf file chunk size
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 5028 of file KineticaFunctions.cs.

CreateMaterializedViewResponse kinetica.Kinetica.createMaterializedView ( CreateMaterializedViewRequest  request_)
inline

Initiates the process of creating a materialized view, reserving the view's name to prevent other views or tables from being created with that name.


For materialized view details and examples, see Materialized Views.
The response contains , which is used to tag each subsequent operation (projection, union, aggregation, filter, or join) that will compose the view.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 5059 of file KineticaFunctions.cs.

CreateMaterializedViewResponse kinetica.Kinetica.createMaterializedView ( string  table_name,
IDictionary< string, string >  options = null 
)
inline

Initiates the process of creating a materialized view, reserving the view's name to prevent other views or tables from being created with that name.


For materialized view details and examples, see Materialized Views.
The response contains , which is used to tag each subsequent operation (projection, union, aggregation, filter, or join) that will compose the view.

Parameters
table_nameName of the table to be created that is the top-level table of the materialized view.
optionsOptional parameters.
  • COLLECTION_NAME: Name of a collection which is to contain the newly created view. If the collection provided is non-existent, the collection will be automatically created. If empty, then the newly created table will be a top-level table.
  • TTL: Sets the TTL of the table specified in .
  • PERSIST: If true, then the materialized view specified in will be persisted and will not expire unless a ttl is specified. If false, then the materialized view will be an in-memory table and will expire unless a ttl is specified otherwise. Supported values: The default value is FALSE.
  • REFRESH_METHOD: Method by which the join can be refreshed when the data in underlying member tables have changed. Supported values:
    • MANUAL: Refresh only occurs when manually requested by calling /alter/table with an 'action' of 'refresh'
    • ON_QUERY: For future use.
    • ON_CHANGE: If possible, incrementally refresh (refresh just those records added) whenever an insert, update, delete or refresh of input table is done. A full refresh is done if an incremental refresh is not possible.
    • PERIODIC: Refresh table periodically at rate specified by refresh_period
    The default value is MANUAL.
  • REFRESH_PERIOD: When refresh_method is periodic, specifies the period in seconds at which refresh occurs
  • REFRESH_START_TIME: When refresh_method is periodic, specifies the first time at which a refresh is to be done. Value is a datetime string with format 'YYYY-MM-DD HH:MM:SS'.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 5179 of file KineticaFunctions.cs.

CreateProcResponse kinetica.Kinetica.createProc ( CreateProcRequest  request_)
inline

Creates an instance (proc) of the user-defined function (UDF) specified by the given command, options, and files, and makes it available for execution.

For details on UDFs, see: User-Defined Functions

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 5199 of file KineticaFunctions.cs.

CreateProcResponse kinetica.Kinetica.createProc ( string  proc_name,
string  execution_mode = CreateProcRequest.ExecutionMode.DISTRIBUTED,
IDictionary< string, byte[]>  files = null,
string  command = "",
IList< string >  args = null,
IDictionary< string, string >  options = null 
)
inline

Creates an instance (proc) of the user-defined function (UDF) specified by the given command, options, and files, and makes it available for execution.

For details on UDFs, see: User-Defined Functions

Parameters
proc_nameName of the proc to be created. Must not be the name of a currently existing proc.
execution_modeThe execution mode of the proc. Supported values:
  • DISTRIBUTED: Input table data will be divided into data segments that are distributed across all nodes in the cluster, and the proc command will be invoked once per data segment in parallel. Output table data from each invocation will be saved to the same node as the corresponding input data.
  • NONDISTRIBUTED: The proc command will be invoked only once per execution, and will not have access to any input or output table data.
The default value is DISTRIBUTED.
filesA map of the files that make up the proc. The keys of the map are file names, and the values are the binary contents of the files. The file names may include subdirectory names (e.g. 'subdir/file') but must not resolve to a directory above the root for the proc. The default value is an empty Dictionary.
commandThe command (excluding arguments) that will be invoked when the proc is executed. It will be invoked from the directory containing the proc and may be any command that can be resolved from that directory. It need not refer to a file actually in that directory; for example, it could be 'java' if the proc is a Java application; however, any necessary external programs must be preinstalled on every database node. If the command refers to a file in that directory, it must be preceded with './' as per Linux convention. If not specified, and exactly one file is provided in , that file will be invoked. The default value is ''.
argsAn array of command-line arguments that will be passed to when the proc is executed. The default value is an empty List.
optionsOptional parameters.
  • MAX_CONCURRENCY_PER_NODE: The maximum number of concurrent instances of the proc that will be executed per node. 0 allows unlimited concurrency. The default value is '0'.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 5275 of file KineticaFunctions.cs.

CreateProjectionResponse kinetica.Kinetica.createProjection ( CreateProjectionRequest  request_)
inline

Creates a new projection of an existing table.

A projection represents a subset of the columns (potentially including derived columns) of a table.
For projection details and examples, see Projections. For limitations, see Projection Limitations and Cautions.
Window functions, which can perform operations like moving averages, are available through this endpoint as well as Kinetica.getRecordsByColumn(string,IList{string},long,long,IDictionary{string, string}).
A projection can be created with a different shard key than the source table. By specifying shard_key, the projection will be sharded according to the specified columns, regardless of how the source table is sharded. The source table can even be unsharded or replicated.
If is empty, selection is performed against a single-row virtual table. This can be useful in executing temporal (NOW()), identity (USER()), or constant-based functions (GEODIST(-77.11, 38.88, -71.06, 42.36)).

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 5327 of file KineticaFunctions.cs.

CreateProjectionResponse kinetica.Kinetica.createProjection ( string  table_name,
string  projection_name,
IList< string >  column_names,
IDictionary< string, string >  options = null 
)
inline

Creates a new projection of an existing table.

A projection represents a subset of the columns (potentially including derived columns) of a table.
For projection details and examples, see Projections. For limitations, see Projection Limitations and Cautions.
Window functions, which can perform operations like moving averages, are available through this endpoint as well as Kinetica.getRecordsByColumn(string,IList{string},long,long,IDictionary{string, string}).
A projection can be created with a different shard key than the source table. By specifying shard_key, the projection will be sharded according to the specified columns, regardless of how the source table is sharded. The source table can even be unsharded or replicated.
If table_name is empty, selection is performed against a single-row virtual table. This can be useful in executing temporal (NOW()), identity (USER()), or constant-based functions (GEODIST(-77.11, 38.88, -71.06, 42.36)).

Parameters
table_nameName of the existing table on which the projection is to be applied. An empty table name creates a projection from a single-row virtual table, where columns specified should be constants or constant expressions.
projection_nameName of the projection to be created. Has the same naming restrictions as tables.
column_namesList of columns from to be included in the projection. Can include derived columns. Can be specified as aliased via the syntax 'column_name as alias'.
optionsOptional parameters.
  • COLLECTION_NAME: Name of a collection to which the projection is to be assigned as a child. If the collection provided is non-existent, the collection will be automatically created. If empty, then the projection will be at the top level. The default value is ''.
  • EXPRESSION: An optional filter expression to be applied to the source table prior to the projection. The default value is ''.
  • IS_REPLICATED: If true then the projection will be replicated even if the source table is not. Supported values: The default value is FALSE.
  • LIMIT: The number of records to keep. The default value is ''.
  • ORDER_BY: Comma-separated list of the columns to be sorted by; e.g. 'timestamp asc, x desc'. The columns specified must be present in . If any alias is given for any column name, the alias must be used, rather than the original column name. The default value is ''.
  • MATERIALIZE_ON_GPU: No longer used. See Resource Management Concepts for information about how resources are managed, Tier Strategy Concepts for how resources are targeted for VRAM, and Tier Strategy Usage for how to specify a table's priority in VRAM. Supported values: The default value is FALSE.
  • CHUNK_SIZE: Indicates the number of records per chunk to be used for this projection.
  • CREATE_INDEXES: Comma-separated list of columns on which to create indexes on the projection. The columns specified must be present in . If any alias is given for any column name, the alias must be used, rather than the original column name.
  • TTL: Sets the TTL of the projection specified in .
  • SHARD_KEY: Comma-separated list of the columns to be sharded on; e.g. 'column1, column2'. The columns specified must be present in . If any alias is given for any column name, the alias must be used, rather than the original column name. The default value is ''.
  • PERSIST: If true, then the projection specified in will be persisted and will not expire unless a ttl is specified. If false, then the projection will be an in-memory table and will expire unless a ttl is specified otherwise. Supported values: The default value is FALSE.
  • PRESERVE_DICT_ENCODING: If true, then columns that were dict encoded in the source table will be dict encoded in the projection. Supported values: The default value is TRUE.
  • RETAIN_PARTITIONS: Determines whether the created projection will retain the partitioning scheme from the source table. Supported values: The default value is FALSE.
  • VIEW_ID: ID of view of which this projection is a member. The default value is ''.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 5564 of file KineticaFunctions.cs.

CreateResourceGroupResponse kinetica.Kinetica.createResourceGroup ( CreateResourceGroupRequest  request_)
inline

Creates a new resource group to facilitate resource management.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 5584 of file KineticaFunctions.cs.

CreateResourceGroupResponse kinetica.Kinetica.createResourceGroup ( string  name,
IDictionary< string, IDictionary< string, string >>  tier_attributes,
string  ranking,
string  adjoining_resource_group = "",
IDictionary< string, string >  options = null 
)
inline

Creates a new resource group to facilitate resource management.

Parameters
nameName of the group to be created. Must contain only letters, digits, and underscores, and cannot begin with a digit. Must not match existing resource group name.
tier_attributesOptional map containing tier names and their respective attribute group limits. The only valid attribute limit that can be set is max_memory (in bytes) for the VRAM & RAM tiers. For instance, to set max VRAM capacity to 1GB and max RAM capacity to 10GB, use: {'VRAM':{'max_memory':'1000000000'}, 'RAM':{'max_memory':'10000000000'}}
  • MAX_MEMORY: Maximum amount of memory usable in the given tier at one time for this group.
The default value is an empty Dictionary.
rankingIndicates the relative ranking among existing resource groups where this new resource group will be placed. When using before or after, specify which resource group this one will be inserted before or after in . Supported values:
adjoining_resource_groupIf is before or after, this field indicates the resource group before or after which the current group will be placed; otherwise, leave blank. The default value is ''.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 5669 of file KineticaFunctions.cs.

CreateRoleResponse kinetica.Kinetica.createRole ( CreateRoleRequest  request_)
inline

Creates a new role.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 5691 of file KineticaFunctions.cs.

CreateRoleResponse kinetica.Kinetica.createRole ( string  name,
IDictionary< string, string >  options = null 
)
inline

Creates a new role.

Parameters
nameName of the role to be created. Must contain only lowercase letters, digits, and underscores, and cannot begin with a digit. Must not be the same name as an existing user or role.
optionsOptional parameters.
  • RESOURCE_GROUP: Name of an existing resource group to associate with this user
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 5719 of file KineticaFunctions.cs.

CreateTableResponse kinetica.Kinetica.createTable ( CreateTableRequest  request_)
inline

Creates a new table or collection.

If a new table is being created, the type of the table is given by , which must be the ID of a currently registered type (i.e. one created via Kinetica.createType(string,string,IDictionary{string, IList{string}},IDictionary{string, string})). The table will be created inside a collection if the option collection_name is specified. If that collection does not already exist, it will be created.
To create a new collection, specify the name of the collection in and set the is_collection option to true; will be ignored.
A table may optionally be designated to use a replicated distribution scheme, have foreign keys to other tables assigned, be assigned a partitioning scheme, or have a tier strategy assigned.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 5760 of file KineticaFunctions.cs.

CreateTableResponse kinetica.Kinetica.createTable ( string  table_name,
string  type_id,
IDictionary< string, string >  options = null 
)
inline

Creates a new table or collection.

If a new table is being created, the type of the table is given by type_id , which must be the ID of a currently registered type (i.e. one created via Kinetica.createType(string,string,IDictionary{string, IList{string}},IDictionary{string, string})). The table will be created inside a collection if the option collection_name is specified. If that collection does not already exist, it will be created.
To create a new collection, specify the name of the collection in table_name and set the is_collection option to true; type_id will be ignored.
A table may optionally be designated to use a replicated distribution scheme, have foreign keys to other tables assigned, be assigned a partitioning scheme, or have a tier strategy assigned.

Parameters
table_nameName of the table to be created. Error for requests with existing table of the same name and type ID may be suppressed by using the no_error_if_exists option. See Tables for naming restrictions.
type_idID of a currently registered type. All objects added to the newly created table will be of this type. Ignored if is_collection is true.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 6055 of file KineticaFunctions.cs.

CreateTableMonitorResponse kinetica.Kinetica.createTableMonitor ( CreateTableMonitorRequest  request_)
inline

Creates a monitor that watches for a single table modification event type (insert, update, or delete) on a particular table (identified by ) and forwards event notifications to subscribers via ZMQ.

After this call completes, subscribe to the returned on the ZMQ table monitor port (default 9002). Each time an operation of the given type on the table completes, a multipart message is published for that topic; the first part contains only the topic ID, and each subsequent part contains one binary-encoded Avro object that corresponds to the event and can be decoded using . The monitor will continue to run (regardless of whether or not there are any subscribers) until deactivated with Kinetica.clearTableMonitor(string,IDictionary{string, string}).
For more information on table monitors, see Table Monitors.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 6096 of file KineticaFunctions.cs.

CreateTableMonitorResponse kinetica.Kinetica.createTableMonitor ( string  table_name,
IDictionary< string, string >  options = null 
)
inline

Creates a monitor that watches for a single table modification event type (insert, update, or delete) on a particular table (identified by table_name ) and forwards event notifications to subscribers via ZMQ.

After this call completes, subscribe to the returned on the ZMQ table monitor port (default 9002). Each time an operation of the given type on the table completes, a multipart message is published for that topic; the first part contains only the topic ID, and each subsequent part contains one binary-encoded Avro object that corresponds to the event and can be decoded using . The monitor will continue to run (regardless of whether or not there are any subscribers) until deactivated with Kinetica.clearTableMonitor(string,IDictionary{string, string}).
For more information on table monitors, see Table Monitors.

Parameters
table_nameName of the table to monitor. Must not refer to a collection.
optionsOptional parameters.
  • EVENT: Type of modification event on the target table to be monitored by this table monitor. Supported values:
    • INSERT: Get notifications of new record insertions. The new row images are forwarded to the subscribers.
    • UPDATE: Get notifications of update operations. The modified row count information is forwarded to the subscribers.
    • DELETE: Get notifications of delete operations. The deleted row count information is forwarded to the subscribers.
    The default value is INSERT.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 6172 of file KineticaFunctions.cs.

CreateTriggerByAreaResponse kinetica.Kinetica.createTriggerByArea ( CreateTriggerByAreaRequest  request_)
inline

Sets up an area trigger mechanism for two column_names for one or more tables.

(This function is essentially the two-dimensional version of Kinetica.createTriggerByRange(string,IList{string},string,double,double,IDictionary{string, string}).) Once the trigger has been activated, any record added to the listed tables(s) via Kinetica.insertRecords{T}(string,IList{T},IDictionary{string, string}) with the chosen columns' values falling within the specified region will trip the trigger. All such records will be queued at the trigger port (by default '9001' but able to be retrieved via Kinetica.showSystemStatus(IDictionary{string, string})) for any listening client to collect. Active triggers can be cancelled by using the Kinetica.clearTrigger(string,IDictionary{string, string}) endpoint or by clearing all relevant tables.
The output returns the trigger handle as well as indicating success or failure of the trigger activation.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 6205 of file KineticaFunctions.cs.

CreateTriggerByAreaResponse kinetica.Kinetica.createTriggerByArea ( string  request_id,
IList< string >  table_names,
string  x_column_name,
IList< double >  x_vector,
string  y_column_name,
IList< double >  y_vector,
IDictionary< string, string >  options = null 
)
inline

Sets up an area trigger mechanism for two column_names for one or more tables.

(This function is essentially the two-dimensional version of Kinetica.createTriggerByRange(string,IList{string},string,double,double,IDictionary{string, string}).) Once the trigger has been activated, any record added to the listed tables(s) via Kinetica.insertRecords{T}(string,IList{T},IDictionary{string, string}) with the chosen columns' values falling within the specified region will trip the trigger. All such records will be queued at the trigger port (by default '9001' but able to be retrieved via Kinetica.showSystemStatus(IDictionary{string, string})) for any listening client to collect. Active triggers can be cancelled by using the Kinetica.clearTrigger(string,IDictionary{string, string}) endpoint or by clearing all relevant tables.
The output returns the trigger handle as well as indicating success or failure of the trigger activation.

Parameters
request_idUser-created ID for the trigger. The ID can be alphanumeric, contain symbols, and must contain at least one character.
table_namesNames of the tables on which the trigger will be activated and maintained.
x_column_nameName of a numeric column on which the trigger is activated. Usually 'x' for geospatial data points.
x_vectorThe respective coordinate values for the region on which the trigger is activated. This usually translates to the x-coordinates of a geospatial region.
y_column_nameName of a second numeric column on which the trigger is activated. Usually 'y' for geospatial data points.
y_vectorThe respective coordinate values for the region on which the trigger is activated. This usually translates to the y-coordinates of a geospatial region. Must be the same length as xvals.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 6257 of file KineticaFunctions.cs.

CreateTriggerByRangeResponse kinetica.Kinetica.createTriggerByRange ( CreateTriggerByRangeRequest  request_)
inline

Sets up a simple range trigger for a column_name for one or more tables.

Once the trigger has been activated, any record added to the listed tables(s) via Kinetica.insertRecords{T}(string,IList{T},IDictionary{string, string}) with the chosen column_name's value falling within the specified range will trip the trigger. All such records will be queued at the trigger port (by default '9001' but able to be retrieved via Kinetica.showSystemStatus(IDictionary{string, string})) for any listening client to collect. Active triggers can be cancelled by using the Kinetica.clearTrigger(string,IDictionary{string, string}) endpoint or by clearing all relevant tables.
The output returns the trigger handle as well as indicating success or failure of the trigger activation.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 6296 of file KineticaFunctions.cs.

CreateTriggerByRangeResponse kinetica.Kinetica.createTriggerByRange ( string  request_id,
IList< string >  table_names,
string  column_name,
double  min,
double  max,
IDictionary< string, string >  options = null 
)
inline

Sets up a simple range trigger for a column_name for one or more tables.

Once the trigger has been activated, any record added to the listed tables(s) via Kinetica.insertRecords{T}(string,IList{T},IDictionary{string, string}) with the chosen column_name's value falling within the specified range will trip the trigger. All such records will be queued at the trigger port (by default '9001' but able to be retrieved via Kinetica.showSystemStatus(IDictionary{string, string})) for any listening client to collect. Active triggers can be cancelled by using the Kinetica.clearTrigger(string,IDictionary{string, string}) endpoint or by clearing all relevant tables.
The output returns the trigger handle as well as indicating success or failure of the trigger activation.

Parameters
request_idUser-created ID for the trigger. The ID can be alphanumeric, contain symbols, and must contain at least one character.
table_namesTables on which the trigger will be active.
column_nameName of a numeric column_name on which the trigger is activated.
minThe lower bound (inclusive) for the trigger range.
maxThe upper bound (inclusive) for the trigger range.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 6337 of file KineticaFunctions.cs.

CreateTypeResponse kinetica.Kinetica.createType ( CreateTypeRequest  request_)
inline

Creates a new type describing the layout or schema of a table.

The type definition is a JSON string describing the fields (i.e. columns) of the type. Each field consists of a name and a data type. Supported data types are: double, float, int, long, string, and bytes. In addition one or more properties can be specified for each column which customize the memory usage and query availability of that column. Note that some properties are mutually exclusive–i.e. they cannot be specified for any given column simultaneously. One example of mutually exclusive properties are data and store_only.
A single primary key and/or single shard key can be set across one or more columns. If a primary key is specified, then a uniqueness constraint is enforced, in that only a single object can exist with a given primary key. When inserting data into a table with a primary key, depending on the parameters in the request, incoming objects with primary key values that match existing objects will either overwrite (i.e. update) the existing object or will be skipped and not added into the set.
Example of a type definition with some of the parameters::
{"type":"record", "name":"point", "fields":[{"name":"msg_id","type":"string"}, {"name":"x","type":"double"}, {"name":"y","type":"double"}, {"name":"TIMESTAMP","type":"double"}, {"name":"source","type":"string"}, {"name":"group_id","type":"string"}, {"name":"OBJECT_ID","type":"string"}] }
Properties::
{"group_id":["store_only"], "msg_id":["store_only","text_search"] }

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 6400 of file KineticaFunctions.cs.

CreateTypeResponse kinetica.Kinetica.createType ( string  type_definition,
string  label,
IDictionary< string, IList< string >>  properties = null,
IDictionary< string, string >  options = null 
)
inline

Creates a new type describing the layout or schema of a table.

The type definition is a JSON string describing the fields (i.e. columns) of the type. Each field consists of a name and a data type. Supported data types are: double, float, int, long, string, and bytes. In addition one or more properties can be specified for each column which customize the memory usage and query availability of that column. Note that some properties are mutually exclusive–i.e. they cannot be specified for any given column simultaneously. One example of mutually exclusive properties are data and store_only.
A single primary key and/or single shard key can be set across one or more columns. If a primary key is specified, then a uniqueness constraint is enforced, in that only a single object can exist with a given primary key. When inserting data into a table with a primary key, depending on the parameters in the request, incoming objects with primary key values that match existing objects will either overwrite (i.e. update) the existing object or will be skipped and not added into the set.
Example of a type definition with some of the parameters::
{"type":"record", "name":"point", "fields":[{"name":"msg_id","type":"string"}, {"name":"x","type":"double"}, {"name":"y","type":"double"}, {"name":"TIMESTAMP","type":"double"}, {"name":"source","type":"string"}, {"name":"group_id","type":"string"}, {"name":"OBJECT_ID","type":"string"}] }
Properties::
{"group_id":["store_only"], "msg_id":["store_only","text_search"] }

Parameters
type_definitiona JSON string describing the columns of the type to be registered.
labelA user-defined description string which can be used to differentiate between tables and types with otherwise identical schemas.
propertiesEach key-value pair specifies the properties to use for a given column where the key is the column name. All keys used must be relevant column names for the given table. Specifying any property overrides the default properties for that column (which is based on the column's data type). Valid values are:
  • DATA: Default property for all numeric and string type columns; makes the column available for GPU queries.
  • TEXT_SEARCH: Valid only for 'string' columns. Enables full text search for string columns. Can be set independently of data and store_only.
  • STORE_ONLY: Persist the column value but do not make it available to queries (e.g. /filter)-i.e. it is mutually exclusive to the data property. Any 'bytes' type column must have a store_only property. This property reduces system memory usage.
  • DISK_OPTIMIZED: Works in conjunction with the data property for string columns. This property reduces system disk usage by disabling reverse string lookups. Queries like /filter, /filter/bylist, and /filter/byvalue work as usual but /aggregate/unique and /aggregate/groupby are not allowed on columns with this property.
  • TIMESTAMP: Valid only for 'long' columns. Indicates that this field represents a timestamp and will be provided in milliseconds since the Unix epoch: 00:00:00 Jan 1 1970. Dates represented by a timestamp must fall between the year 1000 and the year 2900.
  • ULONG: Valid only for 'string' columns. It represents an unsigned long integer data type. The string can only be interpreted as an unsigned long data type with minimum value of zero, and maximum value of 18446744073709551615.
  • DECIMAL: Valid only for 'string' columns. It represents a SQL type NUMERIC(19, 4) data type. There can be up to 15 digits before the decimal point and up to four digits in the fractional part. The value can be positive or negative (indicated by a minus sign at the beginning). This property is mutually exclusive with the text_search property.
  • DATE: Valid only for 'string' columns. Indicates that this field represents a date and will be provided in the format 'YYYY-MM-DD'. The allowable range is 1000-01-01 through 2900-01-01. This property is mutually exclusive with the text_search property.
  • TIME: Valid only for 'string' columns. Indicates that this field represents a time-of-day and will be provided in the format 'HH:MM:SS.mmm'. The allowable range is 00:00:00.000 through 23:59:59.999. This property is mutually exclusive with the text_search property.
  • DATETIME: Valid only for 'string' columns. Indicates that this field represents a datetime and will be provided in the format 'YYYY-MM-DD HH:MM:SS.mmm'. The allowable range is 1000-01-01 00:00:00.000 through 2900-01-01 23:59:59.999. This property is mutually exclusive with the text_search property.
  • CHAR1: This property provides optimized memory, disk and query performance for string columns. Strings with this property must be no longer than 1 character.
  • CHAR2: This property provides optimized memory, disk and query performance for string columns. Strings with this property must be no longer than 2 characters.
  • CHAR4: This property provides optimized memory, disk and query performance for string columns. Strings with this property must be no longer than 4 characters.
  • CHAR8: This property provides optimized memory, disk and query performance for string columns. Strings with this property must be no longer than 8 characters.
  • CHAR16: This property provides optimized memory, disk and query performance for string columns. Strings with this property must be no longer than 16 characters.
  • CHAR32: This property provides optimized memory, disk and query performance for string columns. Strings with this property must be no longer than 32 characters.
  • CHAR64: This property provides optimized memory, disk and query performance for string columns. Strings with this property must be no longer than 64 characters.
  • CHAR128: This property provides optimized memory, disk and query performance for string columns. Strings with this property must be no longer than 128 characters.
  • CHAR256: This property provides optimized memory, disk and query performance for string columns. Strings with this property must be no longer than 256 characters.
  • INT8: This property provides optimized memory and query performance for int columns. Ints with this property must be between -128 and +127 (inclusive)
  • INT16: This property provides optimized memory and query performance for int columns. Ints with this property must be between -32768 and +32767 (inclusive)
  • IPV4: This property provides optimized memory, disk and query performance for string columns representing IPv4 addresses (i.e. 192.168.1.1). Strings with this property must be of the form: A.B.C.D where A, B, C and D are in the range of 0-255.
  • WKT: Valid only for 'string' and 'bytes' columns. Indicates that this field contains geospatial geometry objects in Well-Known Text (WKT) or Well-Known Binary (WKB) format.
  • PRIMARY_KEY: This property indicates that this column will be part of (or the entire) primary key.
  • SHARD_KEY: This property indicates that this column will be part of (or the entire) shard key.
  • NULLABLE: This property indicates that this column is nullable. However, setting this property is insufficient for making the column nullable. The user must declare the type of the column as a union between its regular type and 'null' in the avro schema for the record type in . For example, if a column is of type integer and is nullable, then the entry for the column in the avro schema must be: ['int', 'null']. The C++, C#, Java, and Python APIs have built-in convenience for bypassing setting the avro schema by hand. For those languages, one can use this property as usual and not have to worry about the avro schema for the record.
  • DICT: This property indicates that this column should be dictionary encoded. It can only be used in conjunction with restricted string (charN), int, long or date columns. Dictionary encoding is best for columns where the cardinality (the number of unique values) is expected to be low. This property can save a large amount of memory.
  • INIT_WITH_NOW: For 'date', 'time', 'datetime', or 'timestamp' column types, replace empty strings and invalid timestamps with 'NOW()' upon insert.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 6705 of file KineticaFunctions.cs.

CreateUnionResponse kinetica.Kinetica.createUnion ( CreateUnionRequest  request_)
inline

Merges data from one or more tables with comparable data types into a new table.


The following merges are supported:
UNION (DISTINCT/ALL) - For data set union details and examples, see Union. For limitations, see Union Limitations and Cautions.
INTERSECT (DISTINCT/ALL) - For data set intersection details and examples, see Intersect. For limitations, see Intersect Limitations.
EXCEPT (DISTINCT/ALL) - For data set subtraction details and examples, see Except. For limitations, see Except Limitations.
MERGE VIEWS - For a given set of filtered views on a single table, creates a single filtered view containing all of the unique records across all of the given filtered data sets.
Non-charN 'string' and 'bytes' column types cannot be merged, nor can columns marked as store-only.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 6755 of file KineticaFunctions.cs.

CreateUnionResponse kinetica.Kinetica.createUnion ( string  table_name,
IList< string >  table_names,
IList< IList< string >>  input_column_names,
IList< string >  output_column_names,
IDictionary< string, string >  options = null 
)
inline

Merges data from one or more tables with comparable data types into a new table.


The following merges are supported:
UNION (DISTINCT/ALL) - For data set union details and examples, see Union. For limitations, see Union Limitations and Cautions.
INTERSECT (DISTINCT/ALL) - For data set intersection details and examples, see Intersect. For limitations, see Intersect Limitations.
EXCEPT (DISTINCT/ALL) - For data set subtraction details and examples, see Except. For limitations, see Except Limitations.
MERGE VIEWS - For a given set of filtered views on a single table, creates a single filtered view containing all of the unique records across all of the given filtered data sets.
Non-charN 'string' and 'bytes' column types cannot be merged, nor can columns marked as store-only.

Parameters
table_nameName of the table to be created. Has the same naming restrictions as tables.
table_namesThe list of table names to merge. Must contain the names of one or more existing tables.
input_column_namesThe list of columns from each of the corresponding input tables.
output_column_namesThe list of names of the columns to be stored in the output table.
optionsOptional parameters.
  • COLLECTION_NAME: Name of a collection which is to contain the output table. If the collection provided is non-existent, the collection will be automatically created. If empty, the output table will be a top-level table. The default value is ''.
  • MATERIALIZE_ON_GPU: No longer used. See Resource Management Concepts for information about how resources are managed, Tier Strategy Concepts for how resources are targeted for VRAM, and Tier Strategy Usage for how to specify a table's priority in VRAM. Supported values: The default value is FALSE.
  • MODE: If merge_views, then this operation will merge the provided views. All must be views from the same underlying base table. Supported values:
    • UNION_ALL: Retains all rows from the specified tables.
    • UNION: Retains all unique rows from the specified tables (synonym for union_distinct).
    • UNION_DISTINCT: Retains all unique rows from the specified tables.
    • EXCEPT: Retains all unique rows from the first table that do not appear in the second table (only works on 2 tables).
    • EXCEPT_ALL: Retains all rows(including duplicates) from the first table that do not appear in the second table (only works on 2 tables).
    • INTERSECT: Retains all unique rows that appear in both of the specified tables (only works on 2 tables).
    • INTERSECT_ALL: Retains all rows(including duplicates) that appear in both of the specified tables (only works on 2 tables).
    • MERGE_VIEWS: Merge two or more views (or views of views) of the same base data set into a new view. If this mode is selected AND must be empty. The resulting view would match the results of a SQL OR operation, e.g., if filter 1 creates a view using the expression 'x = 20' and filter 2 creates a view using the expression 'x <= 10', then the merge views operation creates a new view using the expression 'x = 20 OR x <= 10'.
    The default value is UNION_ALL.
  • CHUNK_SIZE: Indicates the number of records per chunk to be used for this output table.
  • CREATE_INDEXES: Comma-separated list of columns on which to create indexes on the output table. The columns specified must be present in .
  • TTL: Sets the TTL of the output table specified in .
  • PERSIST: If true, then the output table specified in will be persisted and will not expire unless a ttl is specified. If false, then the output table will be an in-memory table and will expire unless a ttl is specified otherwise. Supported values: The default value is FALSE.
  • VIEW_ID: ID of view of which this output table is a member. The default value is ''.
  • FORCE_REPLICATED: If true, then the output table specified in will be replicated even if the source tables are not. Supported values: The default value is FALSE.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 6987 of file KineticaFunctions.cs.

CreateUserExternalResponse kinetica.Kinetica.createUserExternal ( CreateUserExternalRequest  request_)
inline

Creates a new external user (a user whose credentials are managed by an external LDAP).

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 7008 of file KineticaFunctions.cs.

CreateUserExternalResponse kinetica.Kinetica.createUserExternal ( string  name,
IDictionary< string, string >  options = null 
)
inline

Creates a new external user (a user whose credentials are managed by an external LDAP).

Parameters
nameName of the user to be created. Must exactly match the user's name in the external LDAP, prefixed with a Must not be the same name as an existing user.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 7028 of file KineticaFunctions.cs.

CreateUserInternalResponse kinetica.Kinetica.createUserInternal ( CreateUserInternalRequest  request_)
inline

Creates a new internal user (a user whose credentials are managed by the database system).

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 7044 of file KineticaFunctions.cs.

CreateUserInternalResponse kinetica.Kinetica.createUserInternal ( string  name,
string  password,
IDictionary< string, string >  options = null 
)
inline

Creates a new internal user (a user whose credentials are managed by the database system).

Parameters
nameName of the user to be created. Must contain only lowercase letters, digits, and underscores, and cannot begin with a digit. Must not be the same name as an existing user or role.
passwordInitial password of the user to be created. May be an empty string for no password.
optionsOptional parameters.
  • RESOURCE_GROUP: Name of an existing resource group to associate with this user
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 7075 of file KineticaFunctions.cs.

void kinetica.Kinetica.DecodeRawBinaryDataUsingRecordType< T > ( KineticaType  record_type,
IList< byte[]>  records_binary,
IList< T >  records 
)
inline

Given a KineticaType object for a certain record type, decode binary data into distinct records (objects).

Template Parameters
TThe type of the records.
Parameters
record_typeThe type for the records.
records_binaryThe binary encoded data to be decoded.
recordsThe decoded objects/records.
Type Constraints
T :new() 

Definition at line 200 of file Kinetica.cs.

void kinetica.Kinetica.DecodeRawBinaryDataUsingSchemaString< T > ( string  schema_string,
IList< byte[]>  records_binary,
IList< T >  records 
)
inline

Given a schema string for a certain record type, decode binary data into distinct records (objects).

Template Parameters
TThe type of the records.
Parameters
schema_stringThe schema for the records.
records_binaryThe binary encoded data to be decoded.
recordsThe decoded objects/records.
Type Constraints
T :new() 

Definition at line 221 of file Kinetica.cs.

void kinetica.Kinetica.DecodeRawBinaryDataUsingSchemaString< T > ( IList< string >  schema_strings,
IList< IList< byte[]>>  lists_records_binary,
IList< IList< T >>  record_lists 
)
inline

Given a list of schema strings, decode binary data into distinct records (objects).

Template Parameters
TThe type of the records.
Parameters
schema_stringsThe schemas for the records.
lists_records_binaryThe binary encoded data to be decoded (the data is in a 2D list).
record_listsThe decoded objects/records in a 2d list.
Type Constraints
T :new() 

Definition at line 245 of file Kinetica.cs.

void kinetica.Kinetica.DecodeRawBinaryDataUsingTypeIDs< T > ( IList< string >  type_ids,
IList< byte[]>  records_binary,
IList< T >  records 
)
inline

Given IDs of records types registered with Kinetica, decode binary data into distinct records (objects).

Template Parameters
TThe type of the records.
Parameters
type_idsThe IDs for each of the records' types.
records_binaryThe binary encoded data to be decoded.
recordsThe decoded objects/records.
Type Constraints
T :new() 

Definition at line 285 of file Kinetica.cs.

void kinetica.Kinetica.DecodeRawBinaryDataUsingTypeIDs< T > ( IList< string >  type_ids,
IList< IList< byte[]>>  lists_records_binary,
IList< IList< T >>  record_lists 
)
inline

Given IDs of records types registered with Kinetica, decode binary data into distinct records (objects).

Template Parameters
TThe type of the records.
Parameters
type_idsThe IDs for each of the lists of records.
lists_records_binaryThe binary encoded data to be decoded in a 2d list.
record_listsThe decoded objects/records in a 2d list.
Type Constraints
T :new() 

Definition at line 314 of file Kinetica.cs.

DeleteGraphResponse kinetica.Kinetica.deleteGraph ( DeleteGraphRequest  request_)
inline

Deletes an existing graph from the graph server and/or persist.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 7093 of file KineticaFunctions.cs.

DeleteGraphResponse kinetica.Kinetica.deleteGraph ( string  graph_name,
IDictionary< string, string >  options = null 
)
inline

Deletes an existing graph from the graph server and/or persist.

Parameters
graph_nameName of the graph to be deleted.
optionsOptional parameters.
  • DELETE_PERSIST: If set to true, the graph is removed from the server and persist. If set to false, the graph is removed from the server but is left in persist. The graph can be reloaded from persist if it is recreated with the same 'graph_name'. Supported values: The default value is TRUE.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 7135 of file KineticaFunctions.cs.

DeleteProcResponse kinetica.Kinetica.deleteProc ( DeleteProcRequest  request_)
inline

Deletes a proc.

Any currently running instances of the proc will be killed.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 7151 of file KineticaFunctions.cs.

DeleteProcResponse kinetica.Kinetica.deleteProc ( string  proc_name,
IDictionary< string, string >  options = null 
)
inline

Deletes a proc.

Any currently running instances of the proc will be killed.

Parameters
proc_nameName of the proc to be deleted. Must be the name of a currently existing proc.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 7170 of file KineticaFunctions.cs.

DeleteRecordsResponse kinetica.Kinetica.deleteRecords ( DeleteRecordsRequest  request_)
inline

Deletes record(s) matching the provided criteria from the given table.

The record selection criteria can either be one or more (matching multiple records), a single record identified by record_id options, or all records when using delete_all_records. Note that the three selection criteria are mutually exclusive. This operation cannot be run on a collection or a view. The operation is synchronous meaning that a response will not be available until the request is completely processed and all the matching records are deleted.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 7194 of file KineticaFunctions.cs.

DeleteRecordsResponse kinetica.Kinetica.deleteRecords ( string  table_name,
IList< string >  expressions,
IDictionary< string, string >  options = null 
)
inline

Deletes record(s) matching the provided criteria from the given table.

The record selection criteria can either be one or more expressions (matching multiple records), a single record identified by record_id options, or all records when using delete_all_records. Note that the three selection criteria are mutually exclusive. This operation cannot be run on a collection or a view. The operation is synchronous meaning that a response will not be available until the request is completely processed and all the matching records are deleted.

Parameters
table_nameName of the table from which to delete records. The set must be a currently existing table and not a collection or a view.
expressionsA list of the actual predicates, one for each select; format should follow the guidelines provided here. Specifying one or more is mutually exclusive to specifying record_id in the .
optionsOptional parameters.
  • GLOBAL_EXPRESSION: An optional global expression to reduce the search space of the . The default value is ''.
  • RECORD_ID: A record ID identifying a single record, obtained at the time of /insert/records or by calling /get/records/fromcollection with the return_record_ids option. This option cannot be used to delete records from replicated tables.
  • DELETE_ALL_RECORDS: If set to true, all records in the table will be deleted. If set to false, then the option is effectively ignored. Supported values: The default value is FALSE.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 7269 of file KineticaFunctions.cs.

DeleteResourceGroupResponse kinetica.Kinetica.deleteResourceGroup ( DeleteResourceGroupRequest  request_)
inline

Deletes a resource group.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 7286 of file KineticaFunctions.cs.

DeleteResourceGroupResponse kinetica.Kinetica.deleteResourceGroup ( string  name,
IDictionary< string, string >  options = null 
)
inline

Deletes a resource group.

Parameters
nameName of the resource group to be deleted.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 7304 of file KineticaFunctions.cs.

DeleteRoleResponse kinetica.Kinetica.deleteRole ( DeleteRoleRequest  request_)
inline

Deletes an existing role.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 7319 of file KineticaFunctions.cs.

DeleteRoleResponse kinetica.Kinetica.deleteRole ( string  name,
IDictionary< string, string >  options = null 
)
inline

Deletes an existing role.

Parameters
nameName of the role to be deleted. Must be an existing role.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 7337 of file KineticaFunctions.cs.

DeleteUserResponse kinetica.Kinetica.deleteUser ( DeleteUserRequest  request_)
inline

Deletes an existing user.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 7352 of file KineticaFunctions.cs.

DeleteUserResponse kinetica.Kinetica.deleteUser ( string  name,
IDictionary< string, string >  options = null 
)
inline

Deletes an existing user.

Parameters
nameName of the user to be deleted. Must be an existing user.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 7370 of file KineticaFunctions.cs.

ExecuteProcResponse kinetica.Kinetica.executeProc ( ExecuteProcRequest  request_)
inline

Executes a proc.

This endpoint is asynchronous and does not wait for the proc to complete before returning.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 7386 of file KineticaFunctions.cs.

ExecuteProcResponse kinetica.Kinetica.executeProc ( string  proc_name,
IDictionary< string, string >  _params = null,
IDictionary< string, byte[]>  bin_params = null,
IList< string >  input_table_names = null,
IDictionary< string, IList< string >>  input_column_names = null,
IList< string >  output_table_names = null,
IDictionary< string, string >  options = null 
)
inline

Executes a proc.

This endpoint is asynchronous and does not wait for the proc to complete before returning.

Parameters
proc_nameName of the proc to execute. Must be the name of a currently existing proc.
_paramsA map containing named parameters to pass to the proc. Each key/value pair specifies the name of a parameter and its value. The default value is an empty Dictionary.
bin_paramsA map containing named binary parameters to pass to the proc. Each key/value pair specifies the name of a parameter and its value. The default value is an empty Dictionary.
input_table_namesNames of the tables containing data to be passed to the proc. Each name specified must be the name of a currently existing table. If no table names are specified, no data will be passed to the proc. The default value is an empty List.
input_column_namesMap of table names from to lists of names of columns from those tables that will be passed to the proc. Each column name specified must be the name of an existing column in the corresponding table. If a table name from is not included, all columns from that table will be passed to the proc. The default value is an empty Dictionary.
output_table_namesNames of the tables to which output data from the proc will be written. If a specified table does not exist, it will automatically be created with the same schema as the corresponding table (by order) from , excluding any primary and shard keys. If a specified table is a non-persistent result table, it must not have primary or shard keys. If no table names are specified, no output data can be returned from the proc. The default value is an empty List.
optionsOptional parameters.
  • CACHE_INPUT: A comma-delimited list of table names from from which input data will be cached for use in subsequent calls to /execute/proc with the use_cached_input option. Cached input data will be retained until the proc status is cleared with the /show/proc/status option of /show/proc/status and all proc instances using the cached data have completed. The default value is ''.
  • USE_CACHED_INPUT: A comma-delimited list of run IDs (as returned from prior calls to /execute/proc) of running or completed proc instances from which input data cached using the cache_input option will be used. Cached input data will not be used for any tables specified in , but data from all other tables cached for the specified run IDs will be passed to the proc. If the same table was cached for multiple specified run IDs, the cached data from the first run ID specified in the list that includes that table will be used. The default value is ''.
  • KIFS_INPUT_DIRS: A comma-delimited list of KiFS directories whose local files will be made directly accessible to the proc through the API. (All KiFS files, local or not, are also accessible through the file system below the KiFS mount point.) Each name specified must the name of an existing KiFS directory. The default value is ''.
  • RUN_TAG: A string that, if not empty, can be used in subsequent calls to /show/proc/status or /kill/proc to identify the proc instance. The default value is ''.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 7481 of file KineticaFunctions.cs.

ExecuteSqlResponse kinetica.Kinetica.executeSql ( ExecuteSqlRequest  request_)
inline

SQL Request

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 7504 of file KineticaFunctions.cs.

ExecuteSqlResponse kinetica.Kinetica.executeSql ( string  statement,
long  offset = 0,
long  limit = -9999,
string  request_schema_str = "",
IList< byte[]>  data = null,
IDictionary< string, string >  options = null 
)
inline

SQL Request

Parameters
statementSQL statement (query, DML, or DDL) to be executed
offsetA positive integer indicating the number of initial results to skip (this can be useful for paging through the results). The default value is 0.The minimum allowed value is 0. The maximum allowed value is MAX_INT.
limitA positive integer indicating the maximum number of results to be returned, or END_OF_SET (-9999) to indicate that the maximum number of results allowed by the server should be returned. The number of records returned will never exceed the server's own limit, defined by the max_get_records_size parameter in the server configuration. Use <member name="has_more_records"> to see if more records exist in the result to be fetched, and & to request subsequent pages of results. The default value is -9999.
request_schema_strAvro schema of . The default value is ''.
dataAn array of binary-encoded data for the records to be binded to the SQL query. The default value is an empty List.
optionsOptional parameters.
  • PARALLEL_EXECUTION: If false, disables the parallel step execution of the given query. Supported values: The default value is TRUE.
  • COST_BASED_OPTIMIZATION: If false, disables the cost-based optimization of the given query. Supported values: The default value is FALSE.
  • PLAN_CACHE: If false, disables plan caching for the given query. Supported values: The default value is TRUE.
  • RULE_BASED_OPTIMIZATION: If false, disables rule-based rewrite optimizations for the given query Supported values: The default value is TRUE.
  • RESULTS_CACHING: If false, disables caching of the results of the given query Supported values: The default value is TRUE.
  • PAGING_TABLE: When empty or the specified paging table not exists, the system will create a paging table and return when query output has more records than the user asked. If the paging table exists in the system, the records from the paging table are returned without evaluating the query.
  • PAGING_TABLE_TTL: Sets the TTL of the paging table.
  • DISTRIBUTED_JOINS: If true, enables the use of distributed joins in servicing the given query. Any query requiring a distributed join will succeed, though hints can be used in the query to change the distribution of the source data to allow the query to succeed. Supported values: The default value is FALSE.
  • DISTRIBUTED_OPERATIONS: If true, enables the use of distributed operations in servicing the given query. Any query requiring a distributed join will succeed, though hints can be used in the query to change the distribution of the source data to allow the query to succeed. Supported values: The default value is FALSE.
  • SSQ_OPTIMIZATION: If false, scalar subqueries will be translated into joins Supported values: The default value is TRUE.
  • LATE_MATERIALIZATION: If true, Joins/Filters results will always be materialized ( saved to result tables format) Supported values: The default value is FALSE.
  • TTL: Sets the TTL of the intermediate result tables used in query execution.
  • UPDATE_ON_EXISTING_PK: Can be used to customize behavior when the updated primary key value already exists as described in /insert/records. Supported values: The default value is FALSE.
  • PRESERVE_DICT_ENCODING: If true, then columns that were dict encoded in the source table will be dict encoded in the projection table. Supported values: The default value is TRUE.
  • VALIDATE_CHANGE_COLUMN: When changing a column using alter table, validate the change before applying it. If true, then validate all values. A value too large (or too long) for the new type will prevent any change. If false, then when a value is too large or long, it will be truncated. Supported values: The default value is TRUE.
  • PREPARE_MODE: If true, compiles a query into an execution plan and saves it in query cache. Query execution is not performed and an empty response will be returned to user Supported values: The default value is FALSE.
  • VIEW_ID: <DEVELOPER> The default value is ''.
  • NO_COUNT: <DEVELOPER> The default value is 'false'.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 7847 of file KineticaFunctions.cs.

FilterResponse kinetica.Kinetica.filter ( FilterRequest  request_)
inline

Filters data based on the specified expression.

The results are stored in a result set with the given .
For details see Expressions.
The response message contains the number of points for which the expression evaluated to be true, which is equivalent to the size of the result view.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 7877 of file KineticaFunctions.cs.

FilterResponse kinetica.Kinetica.filter ( string  table_name,
string  view_name,
string  expression,
IDictionary< string, string >  options = null 
)
inline

Filters data based on the specified expression.

The results are stored in a result set with the given view_name .
For details see Expressions.
The response message contains the number of points for which the expression evaluated to be true, which is equivalent to the size of the result view.

Parameters
table_nameName of the table to filter. This may be the name of a collection, a table, or a view (when chaining queries). If filtering a collection, all child tables where the filter expression is valid will be filtered; the filtered result tables will then be placed in a collection specified by .
view_nameIf provided, then this will be the name of the view containing the results. Has the same naming restrictions as tables. The default value is ''.
expressionThe select expression to filter the specified table. For details see Expressions.
optionsOptional parameters.
  • COLLECTION_NAME: Name of a collection which is to contain the newly created view. If the collection provided is non-existent, the collection will be automatically created. If empty, then the newly created view will be top-level.
  • VIEW_ID: view this filtered-view is part of. The default value is ''.
  • TTL: Sets the TTL of the view specified in .
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 7940 of file KineticaFunctions.cs.

FilterByAreaResponse kinetica.Kinetica.filterByArea ( FilterByAreaRequest  request_)
inline

Calculates which objects from a table are within a named area of interest (NAI/polygon).

The operation is synchronous, meaning that a response will not be returned until all the matching objects are fully available. The response payload provides the count of the resulting set. A new resultant set (view) which satisfies the input NAI restriction specification is created with the name passed in as part of the input.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 7964 of file KineticaFunctions.cs.

FilterByAreaResponse kinetica.Kinetica.filterByArea ( string  table_name,
string  view_name,
string  x_column_name,
IList< double >  x_vector,
string  y_column_name,
IList< double >  y_vector,
IDictionary< string, string >  options = null 
)
inline

Calculates which objects from a table are within a named area of interest (NAI/polygon).

The operation is synchronous, meaning that a response will not be returned until all the matching objects are fully available. The response payload provides the count of the resulting set. A new resultant set (view) which satisfies the input NAI restriction specification is created with the name view_name passed in as part of the input.

Parameters
table_nameName of the table to filter. This may be the name of a collection, a table, or a view (when chaining queries). If filtering a collection, all child tables where the filter expression is valid will be filtered; the filtered result tables will then be placed in a collection specified by .
view_nameIf provided, then this will be the name of the view containing the results. Has the same naming restrictions as tables. The default value is ''.
x_column_nameName of the column containing the x values to be filtered.
x_vectorList of x coordinates of the vertices of the polygon representing the area to be filtered.
y_column_nameName of the column containing the y values to be filtered.
y_vectorList of y coordinates of the vertices of the polygon representing the area to be filtered.
optionsOptional parameters.
  • COLLECTION_NAME: Name of a collection which is to contain the newly created view. If the collection provided is non-existent, the collection will be automatically created. If empty, then the newly created view will be top-level.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 8015 of file KineticaFunctions.cs.

FilterByAreaGeometryResponse kinetica.Kinetica.filterByAreaGeometry ( FilterByAreaGeometryRequest  request_)
inline

Calculates which geospatial geometry objects from a table intersect a named area of interest (NAI/polygon).

The operation is synchronous, meaning that a response will not be returned until all the matching objects are fully available. The response payload provides the count of the resulting set. A new resultant set (view) which satisfies the input NAI restriction specification is created with the name passed in as part of the input.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 8045 of file KineticaFunctions.cs.

FilterByAreaGeometryResponse kinetica.Kinetica.filterByAreaGeometry ( string  table_name,
string  view_name,
string  column_name,
IList< double >  x_vector,
IList< double >  y_vector,
IDictionary< string, string >  options = null 
)
inline

Calculates which geospatial geometry objects from a table intersect a named area of interest (NAI/polygon).

The operation is synchronous, meaning that a response will not be returned until all the matching objects are fully available. The response payload provides the count of the resulting set. A new resultant set (view) which satisfies the input NAI restriction specification is created with the name view_name passed in as part of the input.

Parameters
table_nameName of the table to filter. This may be the name of a collection, a table, or a view (when chaining queries). If filtering a collection, all child tables where the filter expression is valid will be filtered; the filtered result tables will then be placed in a collection specified by .
view_nameIf provided, then this will be the name of the view containing the results. Must not be an already existing collection, table or view. The default value is ''.
column_nameName of the geospatial geometry column to be filtered.
x_vectorList of x coordinates of the vertices of the polygon representing the area to be filtered.
y_vectorList of y coordinates of the vertices of the polygon representing the area to be filtered.
optionsOptional parameters.
  • COLLECTION_NAME: Name of a collection which is to contain the newly created view. If the collection provided is non-existent, the collection will be automatically created. If empty, then the newly created view will be top-level.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 8093 of file KineticaFunctions.cs.

FilterByBoxResponse kinetica.Kinetica.filterByBox ( FilterByBoxRequest  request_)
inline

Calculates how many objects within the given table lie in a rectangular box.

The operation is synchronous, meaning that a response will not be returned until all the objects are fully available. The response payload provides the count of the resulting set. A new resultant set which satisfies the input NAI restriction specification is also created when a is passed in as part of the input payload.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 8124 of file KineticaFunctions.cs.

FilterByBoxResponse kinetica.Kinetica.filterByBox ( string  table_name,
string  view_name,
string  x_column_name,
double  min_x,
double  max_x,
string  y_column_name,
double  min_y,
double  max_y,
IDictionary< string, string >  options = null 
)
inline

Calculates how many objects within the given table lie in a rectangular box.

The operation is synchronous, meaning that a response will not be returned until all the objects are fully available. The response payload provides the count of the resulting set. A new resultant set which satisfies the input NAI restriction specification is also created when a view_name is passed in as part of the input payload.

Parameters
table_nameName of the table on which the bounding box operation will be performed. Must be an existing table.
view_nameOptional name of the result view that will be created containing the results of the query. Has the same naming restrictions as tables. The default value is ''.
x_column_nameName of the column on which to perform the bounding box query. Must be a valid numeric column.
min_xLower bound for the column chosen by . Must be less than or equal to .
max_xUpper bound for . Must be greater than or equal to .
y_column_nameName of a column on which to perform the bounding box query. Must be a valid numeric column.
min_yLower bound for . Must be less than or equal to .
max_yUpper bound for . Must be greater than or equal to .
optionsOptional parameters.
  • COLLECTION_NAME: Name of a collection which is to contain the newly created view. If the collection provided is non-existent, the collection will be automatically created. If empty, then the newly created view will be top-level.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 8179 of file KineticaFunctions.cs.

FilterByBoxGeometryResponse kinetica.Kinetica.filterByBoxGeometry ( FilterByBoxGeometryRequest  request_)
inline

Calculates which geospatial geometry objects from a table intersect a rectangular box.

The operation is synchronous, meaning that a response will not be returned until all the objects are fully available. The response payload provides the count of the resulting set. A new resultant set which satisfies the input NAI restriction specification is also created when a is passed in as part of the input payload.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 8211 of file KineticaFunctions.cs.

FilterByBoxGeometryResponse kinetica.Kinetica.filterByBoxGeometry ( string  table_name,
string  view_name,
string  column_name,
double  min_x,
double  max_x,
double  min_y,
double  max_y,
IDictionary< string, string >  options = null 
)
inline

Calculates which geospatial geometry objects from a table intersect a rectangular box.

The operation is synchronous, meaning that a response will not be returned until all the objects are fully available. The response payload provides the count of the resulting set. A new resultant set which satisfies the input NAI restriction specification is also created when a view_name is passed in as part of the input payload.

Parameters
table_nameName of the table on which the bounding box operation will be performed. Must be an existing table.
view_nameOptional name of the result view that will be created containing the results of the query. Must not be an already existing collection, table or view. The default value is ''.
column_nameName of the geospatial geometry column to be filtered.
min_xLower bound for the x-coordinate of the rectangular box. Must be less than or equal to .
max_xUpper bound for the x-coordinate of the rectangular box. Must be greater than or equal to .
min_yLower bound for the y-coordinate of the rectangular box. Must be less than or equal to .
max_yUpper bound for the y-coordinate of the rectangular box. Must be greater than or equal to .
optionsOptional parameters.
  • COLLECTION_NAME: Name of a collection which is to contain the newly created view. If the collection provided is non-existent, the collection will be automatically created. If empty, then the newly created view will be top-level.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 8265 of file KineticaFunctions.cs.

FilterByGeometryResponse kinetica.Kinetica.filterByGeometry ( FilterByGeometryRequest  request_)
inline

Applies a geometry filter against a geospatial geometry column in a given table, collection or view.

The filtering geometry is provided by .

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 8294 of file KineticaFunctions.cs.

FilterByGeometryResponse kinetica.Kinetica.filterByGeometry ( string  table_name,
string  view_name,
string  column_name,
string  input_wkt,
string  operation,
IDictionary< string, string >  options = null 
)
inline

Applies a geometry filter against a geospatial geometry column in a given table, collection or view.

The filtering geometry is provided by input_wkt .

Parameters
table_nameName of the table on which the filter by geometry will be performed. Must be an existing table, collection or view containing a geospatial geometry column.
view_nameIf provided, then this will be the name of the view containing the results. Has the same naming restrictions as tables. The default value is ''.
column_nameName of the column to be used in the filter. Must be a geospatial geometry column.
input_wktA geometry in WKT format that will be used to filter the objects in . The default value is ''.
operationThe geometric filtering operation to perform Supported values:
  • CONTAINS: Matches records that contain the given WKT in , i.e. the given WKT is within the bounds of a record's geometry.
  • CROSSES: Matches records that cross the given WKT.
  • DISJOINT: Matches records that are disjoint from the given WKT.
  • EQUALS: Matches records that are the same as the given WKT.
  • INTERSECTS: Matches records that intersect the given WKT.
  • OVERLAPS: Matches records that overlap the given WKT.
  • TOUCHES: Matches records that touch the given WKT.
  • WITHIN: Matches records that are within the given WKT.
optionsOptional parameters.
  • COLLECTION_NAME: Name of a collection which is to contain the newly created view. If the collection provided is non-existent, the collection will be automatically created. If empty, then the newly created view will be top-level.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 8390 of file KineticaFunctions.cs.

FilterByListResponse kinetica.Kinetica.filterByList ( FilterByListRequest  request_)
inline

Calculates which records from a table have values in the given list for the corresponding column.

The operation is synchronous, meaning that a response will not be returned until all the objects are fully available. The response payload provides the count of the resulting set. A new resultant set (view) which satisfies the input filter specification is also created if a is passed in as part of the request.
For example, if a type definition has the columns 'x' and 'y', then a filter by list query with the column map {"x":["10.1", "2.3"], "y":["0.0", "-31.5", "42.0"]} will return the count of all data points whose x and y values match both in the respective x- and y-lists, e.g., "x = 10.1 and y = 0.0", "x = 2.3 and y = -31.5", etc. However, a record with "x = 10.1 and y = -31.5" or "x = 2.3 and y = 0.0" would not be returned because the values in the given lists do not correspond.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 8427 of file KineticaFunctions.cs.

FilterByListResponse kinetica.Kinetica.filterByList ( string  table_name,
string  view_name,
IDictionary< string, IList< string >>  column_values_map,
IDictionary< string, string >  options = null 
)
inline

Calculates which records from a table have values in the given list for the corresponding column.

The operation is synchronous, meaning that a response will not be returned until all the objects are fully available. The response payload provides the count of the resulting set. A new resultant set (view) which satisfies the input filter specification is also created if a view_name is passed in as part of the request.
For example, if a type definition has the columns 'x' and 'y', then a filter by list query with the column map {"x":["10.1", "2.3"], "y":["0.0", "-31.5", "42.0"]} will return the count of all data points whose x and y values match both in the respective x- and y-lists, e.g., "x = 10.1 and y = 0.0", "x = 2.3 and y = -31.5", etc. However, a record with "x = 10.1 and y = -31.5" or "x = 2.3 and y = 0.0" would not be returned because the values in the given lists do not correspond.

Parameters
table_nameName of the table to filter. This may be the name of a collection, a table, or a view (when chaining queries). If filtering a collection, all child tables where the filter expression is valid will be filtered; the filtered result tables will then be placed in a collection specified by .
view_nameIf provided, then this will be the name of the view containing the results. Has the same naming restrictions as tables. The default value is ''.
column_values_mapList of values for the corresponding column in the table
optionsOptional parameters.
  • COLLECTION_NAME: Name of a collection which is to contain the newly created view. If the collection provided is non-existent, the collection will be automatically created. If empty, then the newly created view will be top-level.
  • FILTER_MODE: String indicating the filter mode, either 'in_list' or 'not_in_list'. Supported values:
    • IN_LIST: The filter will match all items that are in the provided list(s).
    • NOT_IN_LIST: The filter will match all items that are not in the provided list(s).
    The default value is IN_LIST.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 8503 of file KineticaFunctions.cs.

FilterByRadiusResponse kinetica.Kinetica.filterByRadius ( FilterByRadiusRequest  request_)
inline

Calculates which objects from a table lie within a circle with the given radius and center point (i.e.

circular NAI). The operation is synchronous, meaning that a response will not be returned until all the objects are fully available. The response payload provides the count of the resulting set. A new resultant set (view) which satisfies the input circular NAI restriction specification is also created if a is passed in as part of the request.
For track data, all track points that lie within the circle plus one point on either side of the circle (if the track goes beyond the circle) will be included in the result.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 8533 of file KineticaFunctions.cs.

FilterByRadiusResponse kinetica.Kinetica.filterByRadius ( string  table_name,
string  view_name,
string  x_column_name,
double  x_center,
string  y_column_name,
double  y_center,
double  radius,
IDictionary< string, string >  options = null 
)
inline

Calculates which objects from a table lie within a circle with the given radius and center point (i.e.

circular NAI). The operation is synchronous, meaning that a response will not be returned until all the objects are fully available. The response payload provides the count of the resulting set. A new resultant set (view) which satisfies the input circular NAI restriction specification is also created if a view_name is passed in as part of the request.
For track data, all track points that lie within the circle plus one point on either side of the circle (if the track goes beyond the circle) will be included in the result.

Parameters
table_nameName of the table on which the filter by radius operation will be performed. Must be an existing table.
view_nameIf provided, then this will be the name of the view containing the results. Has the same naming restrictions as tables. The default value is ''.
x_column_nameName of the column to be used for the x-coordinate (the longitude) of the center.
x_centerValue of the longitude of the center. Must be within [-180.0, 180.0]. The minimum allowed value is -180. The maximum allowed value is 180.
y_column_nameName of the column to be used for the y-coordinate-the latitude-of the center.
y_centerValue of the latitude of the center. Must be within [-90.0, 90.0]. The minimum allowed value is -90. The maximum allowed value is 90.
radiusThe radius of the circle within which the search will be performed. Must be a non-zero positive value. It is in meters; so, for example, a value of '42000' means 42 km. The minimum allowed value is 0. The maximum allowed value is MAX_INT.
optionsOptional parameters.
  • COLLECTION_NAME: Name of a collection which is to contain the newly created view. If the collection provided is non-existent, the collection will be automatically created. If empty, then the newly created view will be top-level.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 8592 of file KineticaFunctions.cs.

FilterByRadiusGeometryResponse kinetica.Kinetica.filterByRadiusGeometry ( FilterByRadiusGeometryRequest  request_)
inline

Calculates which geospatial geometry objects from a table intersect a circle with the given radius and center point (i.e.

circular NAI). The operation is synchronous, meaning that a response will not be returned until all the objects are fully available. The response payload provides the count of the resulting set. A new resultant set (view) which satisfies the input circular NAI restriction specification is also created if a is passed in as part of the request.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 8624 of file KineticaFunctions.cs.

FilterByRadiusGeometryResponse kinetica.Kinetica.filterByRadiusGeometry ( string  table_name,
string  view_name,
string  column_name,
double  x_center,
double  y_center,
double  radius,
IDictionary< string, string >  options = null 
)
inline

Calculates which geospatial geometry objects from a table intersect a circle with the given radius and center point (i.e.

circular NAI). The operation is synchronous, meaning that a response will not be returned until all the objects are fully available. The response payload provides the count of the resulting set. A new resultant set (view) which satisfies the input circular NAI restriction specification is also created if a view_name is passed in as part of the request.

Parameters
table_nameName of the table on which the filter by radius operation will be performed. Must be an existing table.
view_nameIf provided, then this will be the name of the view containing the results. Must not be an already existing collection, table or view. The default value is ''.
column_nameName of the geospatial geometry column to be filtered.
x_centerValue of the longitude of the center. Must be within [-180.0, 180.0]. The minimum allowed value is -180. The maximum allowed value is 180.
y_centerValue of the latitude of the center. Must be within [-90.0, 90.0]. The minimum allowed value is -90. The maximum allowed value is 90.
radiusThe radius of the circle within which the search will be performed. Must be a non-zero positive value. It is in meters; so, for example, a value of '42000' means 42 km. The minimum allowed value is 0. The maximum allowed value is MAX_INT.
optionsOptional parameters.
  • COLLECTION_NAME: Name of a collection which is to contain the newly created view. If the collection provided is non-existent, the collection will be automatically created. If empty, then the newly created view will be top-level.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 8676 of file KineticaFunctions.cs.

FilterByRangeResponse kinetica.Kinetica.filterByRange ( FilterByRangeRequest  request_)
inline

Calculates which objects from a table have a column that is within the given bounds.

An object from the table identified by is added to the view if its column is within [, ] (inclusive). The operation is synchronous. The response provides a count of the number of objects which passed the bound filter. Although this functionality can also be accomplished with the standard filter function, it is more efficient.
For track objects, the count reflects how many points fall within the given bounds (which may not include all the track points of any given track).

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 8715 of file KineticaFunctions.cs.

FilterByRangeResponse kinetica.Kinetica.filterByRange ( string  table_name,
string  view_name,
string  column_name,
double  lower_bound,
double  upper_bound,
IDictionary< string, string >  options = null 
)
inline

Calculates which objects from a table have a column that is within the given bounds.

An object from the table identified by table_name is added to the view view_name if its column is within [lower_bound , upper_bound ] (inclusive). The operation is synchronous. The response provides a count of the number of objects which passed the bound filter. Although this functionality can also be accomplished with the standard filter function, it is more efficient.
For track objects, the count reflects how many points fall within the given bounds (which may not include all the track points of any given track).

Parameters
table_nameName of the table on which the filter by range operation will be performed. Must be an existing table.
view_nameIf provided, then this will be the name of the view containing the results. Has the same naming restrictions as tables. The default value is ''.
column_nameName of a column on which the operation would be applied.
lower_boundValue of the lower bound (inclusive).
upper_boundValue of the upper bound (inclusive).
optionsOptional parameters.
  • COLLECTION_NAME: Name of a collection which is to contain the newly created view. If the collection provided is non-existent, the collection will be automatically created. If empty, then the newly created view will be top-level.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 8766 of file KineticaFunctions.cs.

FilterBySeriesResponse kinetica.Kinetica.filterBySeries ( FilterBySeriesRequest  request_)
inline

Filters objects matching all points of the given track (works only on track type data).

It allows users to specify a particular track to find all other points in the table that fall within specified ranges-spatial and temporal-of all points of the given track. Additionally, the user can specify another track to see if the two intersect (or go close to each other within the specified ranges). The user also has the flexibility of using different metrics for the spatial distance calculation: Euclidean (flat geometry) or Great Circle (spherical geometry to approximate the Earth's surface distances). The filtered points are stored in a newly created result set. The return value of the function is the number of points in the resultant set (view).
This operation is synchronous, meaning that a response will not be returned until all the objects are fully available.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 8801 of file KineticaFunctions.cs.

FilterBySeriesResponse kinetica.Kinetica.filterBySeries ( string  table_name,
string  view_name,
string  track_id,
IList< string >  target_track_ids,
IDictionary< string, string >  options = null 
)
inline

Filters objects matching all points of the given track (works only on track type data).

It allows users to specify a particular track to find all other points in the table that fall within specified ranges-spatial and temporal-of all points of the given track. Additionally, the user can specify another track to see if the two intersect (or go close to each other within the specified ranges). The user also has the flexibility of using different metrics for the spatial distance calculation: Euclidean (flat geometry) or Great Circle (spherical geometry to approximate the Earth's surface distances). The filtered points are stored in a newly created result set. The return value of the function is the number of points in the resultant set (view).
This operation is synchronous, meaning that a response will not be returned until all the objects are fully available.

Parameters
table_nameName of the table on which the filter by track operation will be performed. Must be a currently existing table with a track present.
view_nameIf provided, then this will be the name of the view containing the results. Has the same naming restrictions as tables. The default value is ''.
track_idThe ID of the track which will act as the filtering points. Must be an existing track within the given table.
target_track_idsUp to one track ID to intersect with the "filter" track. If any provided, it must be an valid track ID within the given set.
optionsOptional parameters.
  • COLLECTION_NAME: Name of a collection which is to contain the newly created view. If the collection provided is non-existent, the collection will be automatically created. If empty, then the newly created view will be top-level.
  • SPATIAL_RADIUS: A positive number passed as a string representing the radius of the search area centered around each track point's geospatial coordinates. The value is interpreted in meters. Required parameter.
  • TIME_RADIUS: A positive number passed as a string representing the maximum allowable time difference between the timestamps of a filtered object and the given track's points. The value is interpreted in seconds. Required parameter.
  • SPATIAL_DISTANCE_METRIC: A string representing the coordinate system to use for the spatial search criteria. Acceptable values are 'euclidean' and 'great_circle'. Optional parameter; default is 'euclidean'. Supported values:
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 8890 of file KineticaFunctions.cs.

FilterByStringResponse kinetica.Kinetica.filterByString ( FilterByStringRequest  request_)
inline

Calculates which objects from a table, collection, or view match a string expression for the given string columns.

The options 'case_sensitive' can be used to modify the behavior for all modes except 'search'. For 'search' mode details and limitations, see Full Text Search.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 8915 of file KineticaFunctions.cs.

FilterByStringResponse kinetica.Kinetica.filterByString ( string  table_name,
string  view_name,
string  expression,
string  mode,
IList< string >  column_names,
IDictionary< string, string >  options = null 
)
inline

Calculates which objects from a table, collection, or view match a string expression for the given string columns.

The options 'case_sensitive' can be used to modify the behavior for all modes except 'search'. For 'search' mode details and limitations, see Full Text Search.

Parameters
table_nameName of the table on which the filter operation will be performed. Must be an existing table, collection or view.
view_nameIf provided, then this will be the name of the view containing the results. Has the same naming restrictions as tables. The default value is ''.
expressionThe expression with which to filter the table.
modeThe string filtering mode to apply. See below for details. Supported values:
  • SEARCH: Full text search query with wildcards and boolean operators. Note that for this mode, no column can be specified in ; all string columns of the table that have text search enabled will be searched.
  • EQUALS: Exact whole-string match (accelerated).
  • CONTAINS: Partial substring match (not accelerated). If the column is a string type (non-charN) and the number of records is too large, it will return 0.
  • STARTS_WITH: Strings that start with the given expression (not accelerated). If the column is a string type (non-charN) and the number of records is too large, it will return 0.
  • REGEX: Full regular expression search (not accelerated). If the column is a string type (non-charN) and the number of records is too large, it will return 0.
column_namesList of columns on which to apply the filter. Ignored for 'search' mode.
optionsOptional parameters.
  • COLLECTION_NAME: Name of a collection which is to contain the newly created view. If the collection provided is non-existent, the collection will be automatically created. If empty, then the newly created view will be top-level.
  • CASE_SENSITIVE: If 'false' then string filtering will ignore case. Does not apply to 'search' mode. Supported values: The default value is TRUE.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 9017 of file KineticaFunctions.cs.

FilterByTableResponse kinetica.Kinetica.filterByTable ( FilterByTableRequest  request_)
inline

Filters objects in one table based on objects in another table.

The user must specify matching column types from the two tables (i.e. the target table from which objects will be filtered and the source table based on which the filter will be created); the column names need not be the same. If a is specified, then the filtered objects will then be put in a newly created view. The operation is synchronous, meaning that a response will not be returned until all objects are fully available in the result view. The return value contains the count (i.e. the size) of the resulting view.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 9048 of file KineticaFunctions.cs.

FilterByTableResponse kinetica.Kinetica.filterByTable ( string  table_name,
string  view_name,
string  column_name,
string  source_table_name,
string  source_table_column_name,
IDictionary< string, string >  options = null 
)
inline

Filters objects in one table based on objects in another table.

The user must specify matching column types from the two tables (i.e. the target table from which objects will be filtered and the source table based on which the filter will be created); the column names need not be the same. If a view_name is specified, then the filtered objects will then be put in a newly created view. The operation is synchronous, meaning that a response will not be returned until all objects are fully available in the result view. The return value contains the count (i.e. the size) of the resulting view.

Parameters
table_nameName of the table whose data will be filtered. Must be an existing table.
view_nameIf provided, then this will be the name of the view containing the results. Has the same naming restrictions as tables. The default value is ''.
column_nameName of the column by whose value the data will be filtered from the table designated by .
source_table_nameName of the table whose data will be compared against in the table called . Must be an existing table.
source_table_column_nameName of the column in the whose values will be used as the filter for table . Must be a geospatial geometry column if in 'spatial' mode; otherwise, Must match the type of the .
optionsOptional parameters.
  • COLLECTION_NAME: Name of a collection which is to contain the newly created view. If the collection provided is non-existent, the collection will be automatically created. If empty, then the newly created view will be top-level.
  • FILTER_MODE: String indicating the filter mode, either in_table or not_in_table. Supported values: The default value is IN_TABLE.
  • MODE: Mode - should be either spatial or normal. Supported values: The default value is NORMAL.
  • BUFFER: Buffer size, in meters. Only relevant for spatial mode. The default value is '0'.
  • BUFFER_METHOD: Method used to buffer polygons. Only relevant for spatial mode. Supported values:
    • NORMAL
    • GEOS: Use geos 1 edge per corner algorithm
    The default value is NORMAL.
  • MAX_PARTITION_SIZE: Maximum number of points in a partition. Only relevant for spatial mode. The default value is '0'.
  • MAX_PARTITION_SCORE: Maximum number of points * edges in a partition. Only relevant for spatial mode. The default value is '8000000'.
  • X_COLUMN_NAME: Name of column containing x value of point being filtered in spatial mode. The default value is 'x'.
  • Y_COLUMN_NAME: Name of column containing y value of point being filtered in spatial mode. The default value is 'y'.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 9196 of file KineticaFunctions.cs.

FilterByValueResponse kinetica.Kinetica.filterByValue ( FilterByValueRequest  request_)
inline

Calculates which objects from a table has a particular value for a particular column.

The input parameters provide a way to specify either a String or a Double valued column and a desired value for the column on which the filter is performed. The operation is synchronous, meaning that a response will not be returned until all the objects are fully available. The response payload provides the count of the resulting set. A new result view which satisfies the input filter restriction specification is also created with a view name passed in as part of the input payload. Although this functionality can also be accomplished with the standard filter function, it is more efficient.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 9229 of file KineticaFunctions.cs.

FilterByValueResponse kinetica.Kinetica.filterByValue ( string  table_name,
string  view_name,
bool  is_string,
double  _value,
string  value_str,
string  column_name,
IDictionary< string, string >  options = null 
)
inline

Calculates which objects from a table has a particular value for a particular column.

The input parameters provide a way to specify either a String or a Double valued column and a desired value for the column on which the filter is performed. The operation is synchronous, meaning that a response will not be returned until all the objects are fully available. The response payload provides the count of the resulting set. A new result view which satisfies the input filter restriction specification is also created with a view name passed in as part of the input payload. Although this functionality can also be accomplished with the standard filter function, it is more efficient.

Parameters
table_nameName of an existing table on which to perform the calculation.
view_nameIf provided, then this will be the name of the view containing the results. Has the same naming restrictions as tables. The default value is ''.
is_stringIndicates whether the value being searched for is string or numeric.
_valueThe value to search for. The default value is 0.
value_strThe string value to search for. The default value is ''.
column_nameName of a column on which the filter by value would be applied.
optionsOptional parameters.
  • COLLECTION_NAME: Name of a collection which is to contain the newly created view. If the collection provided is non-existent, the collection will be automatically created. If empty, then the newly created view will be top-level.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 9279 of file KineticaFunctions.cs.

static string kinetica.Kinetica.GetApiVersion ( )
inlinestatic

API Version

Returns
Version String for API

Definition at line 77 of file Kinetica.cs.

GetJobResponse kinetica.Kinetica.getJob ( GetJobRequest  request_)
inline

Get the status and result of asynchronously running job.

See the Kinetica.createJob(string,string,byte[],string,IDictionary{string, string}) for starting an asynchronous job. Some fields of the response are filled only after the submitted job has finished execution.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 9306 of file KineticaFunctions.cs.

GetJobResponse kinetica.Kinetica.getJob ( long  job_id,
IDictionary< string, string >  options = null 
)
inline

Get the status and result of asynchronously running job.

See the Kinetica.createJob(string,string,byte[],string,IDictionary{string, string}) for starting an asynchronous job. Some fields of the response are filled only after the submitted job has finished execution.

Parameters
job_idA unique identifier for the job whose status and result is to be fetched.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 9329 of file KineticaFunctions.cs.

GetRecordsResponse<T> kinetica.Kinetica.getRecords< T > ( GetRecordsRequest  request_)
inline

Retrieves records from a given table, optionally filtered by an expression and/or sorted by a column.

This operation can be performed on tables, views, or on homogeneous collections (collections containing tables of all the same type). Records can be returned encoded as binary, json or geojson.
This operation supports paging through the data via the and parameters. Note that when paging through a table, if the table (or the underlying table in case of a view) is updated (records are inserted, deleted or modified) the records retrieved may differ between calls based on the updates applied.

Template Parameters
TThe type of object being retrieved.
Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.
Type Constraints
T :new() 

Definition at line 9358 of file KineticaFunctions.cs.

GetRecordsResponse<T> kinetica.Kinetica.getRecords< T > ( string  table_name,
long  offset = 0,
long  limit = -9999,
IDictionary< string, string >  options = null 
)
inline

Retrieves records from a given table, optionally filtered by an expression and/or sorted by a column.

This operation can be performed on tables, views, or on homogeneous collections (collections containing tables of all the same type). Records can be returned encoded as binary, json or geojson.
This operation supports paging through the data via the offset and limit parameters. Note that when paging through a table, if the table (or the underlying table in case of a view) is updated (records are inserted, deleted or modified) the records retrieved may differ between calls based on the updates applied.

Template Parameters
TThe type of object being retrieved.
Parameters
table_nameName of the table from which the records will be fetched. Must be a table, view or homogeneous collection.
offsetA positive integer indicating the number of initial results to skip (this can be useful for paging through the results). The default value is 0.The minimum allowed value is 0. The maximum allowed value is MAX_INT.
limitA positive integer indicating the maximum number of results to be returned. Or END_OF_SET (-9999) to indicate that the max number of results should be returned. The number of records returned will never exceed the server's own limit, defined by the max_get_records_size parameter in the server configuration. Use <member name="has_more_records"> to see if more records exist in the result to be fetched, and & to request subsequent pages of results. The default value is -9999.
options
  • EXPRESSION: Optional filter expression to apply to the table.
  • FAST_INDEX_LOOKUP: Indicates if indexes should be used to perform the lookup for a given expression if possible. Only applicable if there is no sorting, the expression contains only equivalence comparisons based on existing tables indexes and the range of requested values is from [0 to END_OF_SET]. Supported values: The default value is TRUE.
  • SORT_BY: Optional column that the data should be sorted by. Empty by default (i.e. no sorting is applied).
  • SORT_ORDER: String indicating how the returned values should be sorted - ascending or descending. If sort_order is provided, sort_by has to be provided. Supported values: The default value is ASCENDING.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.
Type Constraints
T :new() 

Definition at line 9470 of file KineticaFunctions.cs.

GetRecordsByColumnResponse kinetica.Kinetica.getRecordsByColumn ( GetRecordsByColumnRequest  request_)
inline

For a given table, retrieves the values from the requested column(s).

Maps of column name to the array of values as well as the column data type are returned. This endpoint supports pagination with the and parameters.
Window functions, which can perform operations like moving averages, are available through this endpoint as well as Kinetica.createProjection(string,string,IList{string},IDictionary{string, string}).
When using pagination, if the table (or the underlying table in the case of a view) is modified (records are inserted, updated, or deleted) during a call to the endpoint, the records or values retrieved may differ between calls based on the type of the update, e.g., the contiguity across pages cannot be relied upon.
If is empty, selection is performed against a single-row virtual table. This can be useful in executing temporal (NOW()), identity (USER()), or constant-based functions (GEODIST(-77.11, 38.88, -71.06, 42.36)).
The response is returned as a dynamic schema. For details see: dynamic schemas documentation.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 9519 of file KineticaFunctions.cs.

GetRecordsByColumnResponse kinetica.Kinetica.getRecordsByColumn ( string  table_name,
IList< string >  column_names,
long  offset = 0,
long  limit = -9999,
IDictionary< string, string >  options = null 
)
inline

For a given table, retrieves the values from the requested column(s).

Maps of column name to the array of values as well as the column data type are returned. This endpoint supports pagination with the offset and limit parameters.
Window functions, which can perform operations like moving averages, are available through this endpoint as well as Kinetica.createProjection(string,string,IList{string},IDictionary{string, string}).
When using pagination, if the table (or the underlying table in the case of a view) is modified (records are inserted, updated, or deleted) during a call to the endpoint, the records or values retrieved may differ between calls based on the type of the update, e.g., the contiguity across pages cannot be relied upon.
If table_name is empty, selection is performed against a single-row virtual table. This can be useful in executing temporal (NOW()), identity (USER()), or constant-based functions (GEODIST(-77.11, 38.88, -71.06, 42.36)).
The response is returned as a dynamic schema. For details see: dynamic schemas documentation.

Parameters
table_nameName of the table on which this operation will be performed. An empty table name retrieves one record from a single-row virtual table, where columns specified should be constants or constant expressions. The table cannot be a parent set.
column_namesThe list of column values to retrieve.
offsetA positive integer indicating the number of initial results to skip (this can be useful for paging through the results). The default value is 0.The minimum allowed value is 0. The maximum allowed value is MAX_INT.
limitA positive integer indicating the maximum number of results to be returned, or END_OF_SET (-9999) to indicate that the maximum number of results allowed by the server should be returned. The number of records returned will never exceed the server's own limit, defined by the max_get_records_size parameter in the server configuration. Use <member name="has_more_records"> to see if more records exist in the result to be fetched, and & to request subsequent pages of results. The default value is -9999.
options
  • EXPRESSION: Optional filter expression to apply to the table.
  • SORT_BY: Optional column that the data should be sorted by. Used in conjunction with sort_order. The order_by option can be used in lieu of sort_by / sort_order. The default value is ''.
  • SORT_ORDER: String indicating how the returned values should be sorted - ascending or descending. If sort_order is provided, sort_by has to be provided. Supported values: The default value is ASCENDING.
  • ORDER_BY: Comma-separated list of the columns to be sorted by as well as the sort direction, e.g., 'timestamp asc, x desc'. The default value is ''.
  • CONVERT_WKTS_TO_WKBS: If true, then WKT string columns will be returned as WKB bytes. Supported values: The default value is FALSE.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 9656 of file KineticaFunctions.cs.

GetRecordsBySeriesResponse<T> kinetica.Kinetica.getRecordsBySeries< T > ( GetRecordsBySeriesRequest  request_)
inline

Retrieves the complete series/track records from the given based on the partial track information contained in the .


This operation supports paging through the data via the and parameters.
In contrast to Kinetica.getRecords{T}(string,long,long,IDictionary{string, string}) this returns records grouped by series/track. So if is 0 and is 5 this operation would return the first 5 series/tracks in . Each series/track will be returned sorted by their TIMESTAMP column.

Template Parameters
TThe type of object being retrieved.
Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.
Type Constraints
T :new() 

Definition at line 9695 of file KineticaFunctions.cs.

GetRecordsBySeriesResponse<T> kinetica.Kinetica.getRecordsBySeries< T > ( string  table_name,
string  world_table_name,
int  offset = 0,
int  limit = 250,
IDictionary< string, string >  options = null 
)
inline

Retrieves the complete series/track records from the given world_table_name based on the partial track information contained in the table_name .


This operation supports paging through the data via the offset and limit parameters.
In contrast to Kinetica.getRecords{T}(string,long,long,IDictionary{string, string}) this returns records grouped by series/track. So if offset is 0 and limit is 5 this operation would return the first 5 series/tracks in table_name . Each series/track will be returned sorted by their TIMESTAMP column.

Template Parameters
TThe type of object being retrieved.
Parameters
table_nameName of the collection/table/view for which series/tracks will be fetched.
world_table_nameName of the table containing the complete series/track information to be returned for the tracks present in the . Typically this is used when retrieving series/tracks from a view (which contains partial series/tracks) but the user wants to retrieve the entire original series/tracks. Can be blank.
offsetA positive integer indicating the number of initial series/tracks to skip (useful for paging through the results). The default value is 0.The minimum allowed value is 0. The maximum allowed value is MAX_INT.
limitA positive integer indicating the maximum number of series/tracks to be returned. Or END_OF_SET (-9999) to indicate that the max number of results should be returned. The default value is 250.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.
Type Constraints
T :new() 

Definition at line 9750 of file KineticaFunctions.cs.

GetRecordsFromCollectionResponse<T> kinetica.Kinetica.getRecordsFromCollection< T > ( GetRecordsFromCollectionRequest  request_)
inline

Retrieves records from a collection.

The operation can optionally return the record IDs which can be used in certain queries such as Kinetica.deleteRecords(string,IList{string},IDictionary{string, string}).
This operation supports paging through the data via the and parameters.
Note that when using the Java API, it is not possible to retrieve records from join tables using this operation.

Template Parameters
TThe type of object being retrieved.
Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.
Type Constraints
T :new() 

Definition at line 9784 of file KineticaFunctions.cs.

GetRecordsFromCollectionResponse<T> kinetica.Kinetica.getRecordsFromCollection< T > ( string  table_name,
long  offset = 0,
long  limit = -9999,
IDictionary< string, string >  options = null 
)
inline

Retrieves records from a collection.

The operation can optionally return the record IDs which can be used in certain queries such as Kinetica.deleteRecords(string,IList{string},IDictionary{string, string}).
This operation supports paging through the data via the offset and limit parameters.
Note that when using the Java API, it is not possible to retrieve records from join tables using this operation.

Template Parameters
TThe type of object being retrieved.
Parameters
table_nameName of the collection or table from which records are to be retrieved. Must be an existing collection or table.
offsetA positive integer indicating the number of initial results to skip (this can be useful for paging through the results). The default value is 0.The minimum allowed value is 0. The maximum allowed value is MAX_INT.
limitA positive integer indicating the maximum number of results to be returned, or END_OF_SET (-9999) to indicate that the max number of results should be returned. The number of records returned will never exceed the server's own limit, defined by the max_get_records_size parameter in the server configuration. Use & to request subsequent pages of results. The default value is -9999.
options
  • RETURN_RECORD_IDS: If 'true' then return the internal record ID along with each returned record. Default is 'false'. Supported values: The default value is FALSE.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.
Type Constraints
T :new() 

Definition at line 9857 of file KineticaFunctions.cs.

GrantPermissionProcResponse kinetica.Kinetica.grantPermissionProc ( GrantPermissionProcRequest  request_)
inline

Grants a proc-level permission to a user or role.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 9922 of file KineticaFunctions.cs.

GrantPermissionProcResponse kinetica.Kinetica.grantPermissionProc ( string  name,
string  permission,
string  proc_name,
IDictionary< string, string >  options = null 
)
inline

Grants a proc-level permission to a user or role.

Parameters
nameName of the user or role to which the permission will be granted. Must be an existing user or role.
permissionPermission to grant to the user or role. Supported values:
proc_nameName of the proc to which the permission grants access. Must be an existing proc, or an empty string to grant access to all procs.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 9953 of file KineticaFunctions.cs.

GrantPermissionSystemResponse kinetica.Kinetica.grantPermissionSystem ( GrantPermissionSystemRequest  request_)
inline

Grants a system-level permission to a user or role.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 9972 of file KineticaFunctions.cs.

GrantPermissionSystemResponse kinetica.Kinetica.grantPermissionSystem ( string  name,
string  permission,
IDictionary< string, string >  options = null 
)
inline

Grants a system-level permission to a user or role.

Parameters
nameName of the user or role to which the permission will be granted. Must be an existing user or role.
permissionPermission to grant to the user or role. Supported values:
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 10018 of file KineticaFunctions.cs.

GrantPermissionTableResponse kinetica.Kinetica.grantPermissionTable ( GrantPermissionTableRequest  request_)
inline

Grants a table-level permission to a user or role.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 10037 of file KineticaFunctions.cs.

GrantPermissionTableResponse kinetica.Kinetica.grantPermissionTable ( string  name,
string  permission,
string  table_name,
string  filter_expression = "",
IDictionary< string, string >  options = null 
)
inline

Grants a table-level permission to a user or role.

Parameters
nameName of the user or role to which the permission will be granted. Must be an existing user or role.
permissionPermission to grant to the user or role. Supported values:
table_nameName of the table to which the permission grants access. Must be an existing table, collection, or view. If a collection, the permission also applies to tables and views in the collection.
filter_expressionOptional filter expression to apply to this grant. Only rows that match the filter will be affected. The default value is ''.
optionsOptional parameters.
  • COLUMNS: Apply security to these columns, comma-separated. The default value is ''.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 10101 of file KineticaFunctions.cs.

GrantRoleResponse kinetica.Kinetica.grantRole ( GrantRoleRequest  request_)
inline

Grants membership in a role to a user or role.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 10123 of file KineticaFunctions.cs.

GrantRoleResponse kinetica.Kinetica.grantRole ( string  role,
string  member,
IDictionary< string, string >  options = null 
)
inline

Grants membership in a role to a user or role.

Parameters
roleName of the role in which membership will be granted. Must be an existing role.
memberName of the user or role that will be granted membership in . Must be an existing user or role.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 10144 of file KineticaFunctions.cs.

HasProcResponse kinetica.Kinetica.hasProc ( HasProcRequest  request_)
inline

Checks the existence of a proc with the given name.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 10161 of file KineticaFunctions.cs.

HasProcResponse kinetica.Kinetica.hasProc ( string  proc_name,
IDictionary< string, string >  options = null 
)
inline

Checks the existence of a proc with the given name.

Parameters
proc_nameName of the proc to check for existence.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 10180 of file KineticaFunctions.cs.

HasTableResponse kinetica.Kinetica.hasTable ( HasTableRequest  request_)
inline

Checks for the existence of a table with the given name.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 10196 of file KineticaFunctions.cs.

HasTableResponse kinetica.Kinetica.hasTable ( string  table_name,
IDictionary< string, string >  options = null 
)
inline

Checks for the existence of a table with the given name.

Parameters
table_nameName of the table to check for existence.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 10215 of file KineticaFunctions.cs.

HasTypeResponse kinetica.Kinetica.hasType ( HasTypeRequest  request_)
inline

Check for the existence of a type.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 10230 of file KineticaFunctions.cs.

HasTypeResponse kinetica.Kinetica.hasType ( string  type_id,
IDictionary< string, string >  options = null 
)
inline

Check for the existence of a type.

Parameters
type_idId of the type returned in response to /create/type request.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 10248 of file KineticaFunctions.cs.

InsertRecordsResponse kinetica.Kinetica.insertRecords< T > ( InsertRecordsRequest< T >  request_)
inline

Adds multiple records to the specified table.

The operation is synchronous, meaning that a response will not be returned until all the records are fully inserted and available. The response payload provides the counts of the number of records actually inserted and/or updated, and can provide the unique identifier of each added record.
The parameter can be used to customize this function's behavior.
The update_on_existing_pk option specifies the record collision policy for inserting into a table with a primary key, but is ignored if no primary key exists.
The return_record_ids option indicates that the database should return the unique identifiers of inserted records.

Template Parameters
TThe type of object being added.
Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 10315 of file KineticaFunctions.cs.

InsertRecordsResponse kinetica.Kinetica.insertRecords< T > ( string  table_name,
IList< T >  data,
IDictionary< string, string >  options = null 
)
inline

Adds multiple records to the specified table.

The operation is synchronous, meaning that a response will not be returned until all the records are fully inserted and available. The response payload provides the counts of the number of records actually inserted and/or updated, and can provide the unique identifier of each added record.
The options parameter can be used to customize this function's behavior.
The update_on_existing_pk option specifies the record collision policy for inserting into a table with a primary key, but is ignored if no primary key exists.
The return_record_ids option indicates that the database should return the unique identifiers of inserted records.

Template Parameters
TThe type of object being added.
Parameters
table_nameTable to which the records are to be added. Must be an existing table.
dataAn array of binary-encoded data for the records to be added. All records must be of the same type as that of the table. Empty array if is json.
optionsOptional parameters.
  • UPDATE_ON_EXISTING_PK: Specifies the record collision policy for inserting into a table with a primary key. If set to true, any existing table record with primary key values that match those of a record being inserted will be replaced by that new record. If set to false, any existing table record with primary key values that match those of a record being inserted will remain unchanged and the new record discarded. If the specified table does not have a primary key, then this option is ignored. Supported values: The default value is FALSE.
  • RETURN_RECORD_IDS: If true then return the internal record id along for each inserted record. Supported values: The default value is FALSE.
  • TRUNCATE_STRINGS: If set to true, any strings which are too long for their target charN string columns will be truncated to fit. Supported values: The default value is FALSE.
  • RETURN_INDIVIDUAL_ERRORS: If set to true, success will always be returned, and any errors found will be included in the info map. The "bad_record_indices" entry is a comma-separated list of bad records (0-based). And if so, there will also be an "error_N" entry for each record with an error, where N is the index (0-based). Supported values: The default value is FALSE.
  • ALLOW_PARTIAL_BATCH: If set to true, all correct records will be inserted and incorrect records will be rejected and reported. Otherwise, the entire batch will be rejected if any records are incorrect. Supported values: The default value is FALSE.
  • DRY_RUN: If set to true, no data will be saved and any errors will be returned. Supported values: The default value is FALSE.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 10492 of file KineticaFunctions.cs.

InsertRecordsFromFilesResponse kinetica.Kinetica.insertRecordsFromFiles ( InsertRecordsFromFilesRequest  request_)
inline

Reads from one or more files located on the server and inserts the data into a new or existing table.


For CSV files, there are two loading schemes: positional and name-based. The name-based loading scheme is enabled when the file has a header present and text_has_header is set to true. In this scheme, the source file(s) field names must match the target table's column names exactly; however, the source file can have more fields than the target table has columns. If error_handling is set to permissive, the source file can have fewer fields than the target table has columns. If the name-based loading scheme is being used, names matching the file header's names may be provided to columns_to_load instead of numbers, but ranges are not supported.
Returns once all files are processed.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 10524 of file KineticaFunctions.cs.

InsertRecordsFromFilesResponse kinetica.Kinetica.insertRecordsFromFiles ( string  table_name,
IList< string >  filepaths,
IDictionary< string, string >  create_table_options = null,
IDictionary< string, string >  options = null 
)
inline

Reads from one or more files located on the server and inserts the data into a new or existing table.


For CSV files, there are two loading schemes: positional and name-based. The name-based loading scheme is enabled when the file has a header present and text_has_header is set to true. In this scheme, the source file(s) field names must match the target table's column names exactly; however, the source file can have more fields than the target table has columns. If error_handling is set to permissive, the source file can have fewer fields than the target table has columns. If the name-based loading scheme is being used, names matching the file header's names may be provided to columns_to_load instead of numbers, but ranges are not supported.
Returns once all files are processed.

Parameters
table_nameName of the table into which the data will be inserted. If the table does not exist, the table will be created using either an existing type_id or the type inferred from the file.
filepathsAbsolute or relative filepath(s) from where files will be loaded. Relative filepaths are relative to the defined external_files_directory parameter in the server configuration. The filepaths may include wildcards (*). If the first path ends in .tsv, the text delimiter will be defaulted to a tab character. If the first path ends in .psv, the text delimiter will be defaulted to a pipe character (|).
create_table_optionsOptions used when creating a new table. The default value is an empty Dictionary.
optionsOptional parameters.
  • BATCH_SIZE: Specifies number of records to process before inserting.
  • COLUMN_FORMATS: For each target column specified, applies the column-property-bound format to the source data loaded into that column. Each column format will contain a mapping of one or more of its column properties to an appropriate format for each property. Currently supported column properties include date, time, & datetime. The parameter value must be formatted as a JSON string of maps of column names to maps of column properties to their corresponding column formats, e.g., { "order_date" : { "date" : "%Y.%m.%d" }, "order_time" : { "time" : "%H:%M:%S" } }. See default_column_formats for valid format syntax.
  • COLUMNS_TO_LOAD: For delimited_text file_type only. Specifies a comma-delimited list of column positions or names to load instead of loading all columns in the file(s); if more than one file is being loaded, the list of columns will apply to all files. Column numbers can be specified discretely or as a range, e.g., a value of '5,7,1..3' will create a table with the first column in the table being the fifth column in the file, followed by seventh column in the file, then the first column through the fourth column in the file.
  • DEFAULT_COLUMN_FORMATS: Specifies the default format to be applied to source data loaded into columns with the corresponding column property. This default column-property-bound format can be overridden by specifying a column property & format for a given target column in column_formats. For each specified annotation, the format will apply to all columns with that annotation unless a custom column_formats for that annotation is specified. The parameter value must be formatted as a JSON string that is a map of column properties to their respective column formats, e.g., { "date" : "%Y.%m.%d", "time" : "%H:%M:%S" }. Column formats are specified as a string of control characters and plain text. The supported control characters are 'Y', 'm', 'd', 'H', 'M', 'S', and 's', which follow the Linux 'strptime()' specification, as well as 's', which specifies seconds and fractional seconds (though the fractional component will be truncated past milliseconds). Formats for the 'date' annotation must include the 'Y', 'm', and 'd' control characters. Formats for the 'time' annotation must include the 'H', 'M', and either 'S' or 's' (but not both) control characters. Formats for the 'datetime' annotation meet both the 'date' and 'time' control character requirements. For example, '{"datetime" : "%m/%d/%Y %H:%M:%S" }' would be used to interpret text as "05/04/2000 12:12:11"
  • DRY_RUN: If set to true, no data will be inserted but the file will be read with the applied error_handling mode and the number of valid records that would be normally inserted are returned. Supported values: The default value is FALSE.
  • ERROR_HANDLING: Specifies how errors should be handled upon insertion. Supported values:
    • PERMISSIVE: Records with missing columns are populated with nulls if possible; otherwise, the malformed records are skipped.
    • IGNORE_BAD_RECORDS: Malformed records are skipped.
    • ABORT: Stops current insertion and aborts entire operation when an error is encountered.
    The default value is PERMISSIVE.
  • FILE_TYPE: File type for the file(s). Supported values:
    • DELIMITED_TEXT: Indicates the file(s) are in delimited text format, e.g., CSV, TSV, PSV, etc.
    The default value is DELIMITED_TEXT.
  • LOADING_MODE: Specifies how to divide data loading among nodes. Supported values:
    • HEAD: The head node loads all data. All files must be available on the head node.
    • DISTRIBUTED_SHARED: The worker nodes coordinate loading a set of files that are available to all of them. All files must be available on all nodes. This option is best when there is a shared file system.
    • DISTRIBUTED_LOCAL: Each worker node loads all files that are available to it. This option is best when each worker node has its own file system.
    The default value is HEAD.
  • TEXT_COMMENT_STRING: For delimited_text file_type only. All lines in the file(s) starting with the provided string are ignored. The comment string has no effect unless it appears at the beginning of a line. The default value is '#'.
  • TEXT_DELIMITER: For delimited_text file_type only. Specifies the delimiter for values and columns in the header row (if present). Must be a single character. The default value is ','.
  • TEXT_ESCAPE_CHARACTER: For delimited_text file_type only. The character used in the file(s) to escape certain character sequences in text. For example, the escape character followed by a literal 'n' escapes to a newline character within the field. Can be used within quoted string to escape a quote character. An empty value for this option does not specify an escape character.
  • TEXT_HAS_HEADER: For delimited_text file_type only. Indicates whether the delimited text files have a header row. Supported values: The default value is TRUE.
  • TEXT_HEADER_PROPERTY_DELIMITER: For delimited_text file_type only. Specifies the delimiter for column properties in the header row (if present). Cannot be set to same value as text_delimiter. The default value is '|'.
  • TEXT_NULL_STRING: For delimited_text file_type only. The value in the file(s) to treat as a null value in the database. The default value is ''.
  • TEXT_QUOTE_CHARACTER: For delimited_text file_type only. The quote character used in the file(s), typically encompassing a field value. The character must appear at beginning and end of field to take effect. Delimiters within quoted fields are not treated as delimiters. Within a quoted field, double quotes (") can be used to escape a single literal quote character. To not have a quote character, specify an empty string (""). The default value is '"'.
  • TRUNCATE_TABLE: If set to true, truncates the table specified by prior to loading the file(s). Supported values: The default value is FALSE.
  • NUM_TASKS_PER_RANK: Optional: number of tasks for reading file per rank. Default will be external_file_reader_num_tasks
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 11046 of file KineticaFunctions.cs.

InsertRecordsRandomResponse kinetica.Kinetica.insertRecordsRandom ( InsertRecordsRandomRequest  request_)
inline

Generates a specified number of random records and adds them to the given table.

There is an optional parameter that allows the user to customize the ranges of the column values. It also allows the user to specify linear profiles for some or all columns in which case linear values are generated rather than random ones. Only individual tables are supported for this operation.
This operation is synchronous, meaning that a response will not be returned until all random records are fully available.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 11074 of file KineticaFunctions.cs.

InsertRecordsRandomResponse kinetica.Kinetica.insertRecordsRandom ( string  table_name,
long  count,
IDictionary< string, IDictionary< string, double >>  options = null 
)
inline

Generates a specified number of random records and adds them to the given table.

There is an optional parameter that allows the user to customize the ranges of the column values. It also allows the user to specify linear profiles for some or all columns in which case linear values are generated rather than random ones. Only individual tables are supported for this operation.
This operation is synchronous, meaning that a response will not be returned until all random records are fully available.

Parameters
table_nameTable to which random records will be added. Must be an existing table. Also, must be an individual table, not a collection of tables, nor a view of a table.
countNumber of records to generate.
optionsOptional parameter to pass in specifications for the randomness of the values. This map is different from the options parameter of most other endpoints in that it is a map of string to map of string to doubles, while most others are maps of string to string. In this map, the top level keys represent which column's parameters are being specified, while the internal keys represents which parameter is being specified. These parameters take on different meanings depending on the type of the column. Below follows a more detailed description of the map:
  • SEED: If provided, the internal random number generator will be initialized with the given value. The minimum is 0. This allows for the same set of random numbers to be generated across invocation of this endpoint in case the user wants to repeat the test. Since , is a map of maps, we need an internal map to provide the seed value. For example, to pass 100 as the seed value through this parameter, you need something equivalent to: 'options' = {'seed': { 'value': 100 } }
    • VALUE: Pass the seed value here.
  • ALL: This key indicates that the specifications relayed in the internal map are to be applied to all columns of the records.
    • MIN: For numerical columns, the minimum of the generated values is set to this value. Default is -99999. For point, shape, and track columns, min for numeric 'x' and 'y' columns needs to be within [-180, 180] and [-90, 90], respectively. The default minimum possible values for these columns in such cases are -180.0 and -90.0. For the 'TIMESTAMP' column, the default minimum corresponds to Jan 1, 2010. For string columns, the minimum length of the randomly generated strings is set to this value (default is 0). If both minimum and maximum are provided, minimum must be less than or equal to max. Value needs to be within [0, 200]. If the min is outside the accepted ranges for strings columns and 'x' and 'y' columns for point/shape/track, then those parameters will not be set; however, an error will not be thrown in such a case. It is the responsibility of the user to use the all parameter judiciously.
    • MAX: For numerical columns, the maximum of the generated values is set to this value. Default is 99999. For point, shape, and track columns, max for numeric 'x' and 'y' columns needs to be within [-180, 180] and [-90, 90], respectively. The default minimum possible values for these columns in such cases are 180.0 and 90.0. For string columns, the maximum length of the randomly generated strings is set to this value (default is 200). If both minimum and maximum are provided, max must be greater than or equal to min. Value needs to be within [0, 200]. If the max is outside the accepted ranges for strings columns and 'x' and 'y' columns for point/shape/track, then those parameters will not be set; however, an error will not be thrown in such a case. It is the responsibility of the user to use the all parameter judiciously.
    • INTERVAL: If specified, generate values for all columns evenly spaced with the given interval value. If a max value is specified for a given column the data is randomly generated between min and max and decimated down to the interval. If no max is provided the data is linerally generated starting at the minimum value (instead of generating random data). For non-decimated string-type columns the interval value is ignored. Instead the values are generated following the pattern: 'attrname_creationIndex#', i.e. the column name suffixed with an underscore and a running counter (starting at 0). For string types with limited size (eg char4) the prefix is dropped. No nulls will be generated for nullable columns.
    • NULL_PERCENTAGE: If specified, then generate the given percentage of the count as nulls for all nullable columns. This option will be ignored for non-nullable columns. The value must be within the range [0, 1.0]. The default value is 5% (0.05).
    • CARDINALITY: If specified, limit the randomly generated values to a fixed set. Not allowed on a column with interval specified, and is not applicable to WKT or Track-specific columns. The value must be greater than 0. This option is disabled by default.
  • ATTR_NAME: Use the desired column name in place of attr_name, and set the following parameters for the column specified. This overrides any parameter set by all.
    • MIN: For numerical columns, the minimum of the generated values is set to this value. Default is -99999. For point, shape, and track columns, min for numeric 'x' and 'y' columns needs to be within [-180, 180] and [-90, 90], respectively. The default minimum possible values for these columns in such cases are -180.0 and -90.0. For the 'TIMESTAMP' column, the default minimum corresponds to Jan 1, 2010. For string columns, the minimum length of the randomly generated strings is set to this value (default is 0). If both minimum and maximum are provided, minimum must be less than or equal to max. Value needs to be within [0, 200]. If the min is outside the accepted ranges for strings columns and 'x' and 'y' columns for point/shape/track, then those parameters will not be set; however, an error will not be thrown in such a case. It is the responsibility of the user to use the all parameter judiciously.
    • MAX: For numerical columns, the maximum of the generated values is set to this value. Default is 99999. For point, shape, and track columns, max for numeric 'x' and 'y' columns needs to be within [-180, 180] and [-90, 90], respectively. The default minimum possible values for these columns in such cases are 180.0 and 90.0. For string columns, the maximum length of the randomly generated strings is set to this value (default is 200). If both minimum and maximum are provided, max must be greater than or equal to min. Value needs to be within [0, 200]. If the max is outside the accepted ranges for strings columns and 'x' and 'y' columns for point/shape/track, then those parameters will not be set; however, an error will not be thrown in such a case. It is the responsibility of the user to use the all parameter judiciously.
    • INTERVAL: If specified, generate values for all columns evenly spaced with the given interval value. If a max value is specified for a given column the data is randomly generated between min and max and decimated down to the interval. If no max is provided the data is linerally generated starting at the minimum value (instead of generating random data). For non-decimated string-type columns the interval value is ignored. Instead the values are generated following the pattern: 'attrname_creationIndex#', i.e. the column name suffixed with an underscore and a running counter (starting at 0). For string types with limited size (eg char4) the prefix is dropped. No nulls will be generated for nullable columns.
    • NULL_PERCENTAGE: If specified and if this column is nullable, then generate the given percentage of the count as nulls. This option will result in an error if the column is not nullable. The value must be within the range [0, 1.0]. The default value is 5% (0.05).
    • CARDINALITY: If specified, limit the randomly generated values to a fixed set. Not allowed on a column with interval specified, and is not applicable to WKT or Track-specific columns. The value must be greater than 0. This option is disabled by default.
  • TRACK_LENGTH: This key-map pair is only valid for track data sets (an error is thrown otherwise). No nulls would be generated for nullable columns.
    • MIN: Minimum possible length for generated series; default is 100 records per series. Must be an integral value within the range [1, 500]. If both min and max are specified, min must be less than or equal to max.
    • MAX: Maximum possible length for generated series; default is 500 records per series. Must be an integral value within the range [1, 500]. If both min and max are specified, max must be greater than or equal to min.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 11325 of file KineticaFunctions.cs.

InsertRecordsResponse kinetica.Kinetica.insertRecordsRaw ( RawInsertRecordsRequest  request_)
inline

Adds multiple records to the specified table.

The operation is synchronous, meaning that a response will not be returned until all the records are fully inserted and available. The response payload provides the counts of the number of records actually inserted and/or updated, and can provide the unique identifier of each added record.
The parameter can be used to customize this function's behavior.
The update_on_existing_pk option specifies the record collision policy for inserting into a table with a primary key, but is ignored if no primary key exists.
The return_record_ids option indicates that the database should return the unique identifiers of inserted records.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 10280 of file KineticaFunctions.cs.

InsertSymbolResponse kinetica.Kinetica.insertSymbol ( InsertSymbolRequest  request_)
inline

Adds a symbol or icon (i.e.

an image) to represent data points when data is rendered visually. Users must provide the symbol identifier (string), a format (currently supported: 'svg' and 'svg_path'), the data for the symbol, and any additional optional parameter (e.g. color). To have a symbol used for rendering create a table with a string column named 'SYMBOLCODE' (along with 'x' or 'y' for example). Then when the table is rendered (via WMS) if the 'dosymbology' parameter is 'true' then the value of the 'SYMBOLCODE' column is used to pick the symbol displayed for each point.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 11352 of file KineticaFunctions.cs.

InsertSymbolResponse kinetica.Kinetica.insertSymbol ( string  symbol_id,
string  symbol_format,
byte[]  symbol_data,
IDictionary< string, string >  options = null 
)
inline

Adds a symbol or icon (i.e.

an image) to represent data points when data is rendered visually. Users must provide the symbol identifier (string), a format (currently supported: 'svg' and 'svg_path'), the data for the symbol, and any additional optional parameter (e.g. color). To have a symbol used for rendering create a table with a string column named 'SYMBOLCODE' (along with 'x' or 'y' for example). Then when the table is rendered (via WMS) if the 'dosymbology' parameter is 'true' then the value of the 'SYMBOLCODE' column is used to pick the symbol displayed for each point.

Parameters
symbol_idThe id of the symbol being added. This is the same id that should be in the 'SYMBOLCODE' column for objects using this symbol
symbol_formatSpecifies the symbol format. Must be either 'svg' or 'svg_path'. Supported values:
symbol_dataThe actual symbol data. If is 'svg' then this should be the raw bytes representing an svg file. If is svg path then this should be an svg path string, for example: 'M25.979,12.896,5.979,12.896,5.979,19.562,25.979,19.562z'
optionsOptional parameters.
  • COLOR: If is 'svg' this is ignored. If is 'svg_path' then this option specifies the color (in RRGGBB hex format) of the path. For example, to have the path rendered in red, used 'FF0000'. If 'color' is not provided then '00FF00' (i.e. green) is used by default.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 11413 of file KineticaFunctions.cs.

KillProcResponse kinetica.Kinetica.killProc ( KillProcRequest  request_)
inline

Kills a running proc instance.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 11431 of file KineticaFunctions.cs.

KillProcResponse kinetica.Kinetica.killProc ( string  run_id = "",
IDictionary< string, string >  options = null 
)
inline

Kills a running proc instance.

Parameters
run_idThe run ID of a running proc instance. If a proc with a matching run ID is not found or the proc instance has already completed, no procs will be killed. If not specified, all running proc instances will be killed. The default value is ''.
optionsOptional parameters.
  • RUN_TAG: If is specified, kill the proc instance that has a matching run ID and a matching run tag that was provided to /execute/proc. If is not specified, kill the proc instance(s) where a matching run tag was provided to /execute/proc. The default value is ''.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 11464 of file KineticaFunctions.cs.

LockTableResponse kinetica.Kinetica.lockTable ( LockTableRequest  request_)
inline

Manages global access to a table's data.

By default a table has a of read_write, indicating all operations are permitted. A user may request a read_only or a write_only lock, after which only read or write operations, respectively, are permitted on the table until the lock is removed. When is no_access then no operations are permitted on the table. The lock status can be queried by setting to status.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 11519 of file KineticaFunctions.cs.

LockTableResponse kinetica.Kinetica.lockTable ( string  table_name,
string  lock_type = LockTableRequest.LockType.STATUS,
IDictionary< string, string >  options = null 
)
inline

Manages global access to a table's data.

By default a table has a lock_type of read_write, indicating all operations are permitted. A user may request a read_only or a write_only lock, after which only read or write operations, respectively, are permitted on the table until the lock is removed. When lock_type is no_access then no operations are permitted on the table. The lock status can be queried by setting lock_type to status.

Parameters
table_nameName of the table to be locked. It must be a currently existing table, collection, or view.
lock_typeThe type of lock being applied to the table. Setting it to status will return the current lock status of the table without changing it. Supported values: The default value is STATUS.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 11578 of file KineticaFunctions.cs.

MatchGraphResponse kinetica.Kinetica.matchGraph ( MatchGraphRequest  request_)
inline

Matches a directed route implied by a given set of latitude/longitude points to an existing underlying road network graph using a given solution type.


IMPORTANT: It's highly recommended that you review the Network Graphs & Solvers concepts documentation, the Graph REST Tutorial, and/or some /match/graph examples before using this endpoint.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 11608 of file KineticaFunctions.cs.

MatchGraphResponse kinetica.Kinetica.matchGraph ( string  graph_name,
IList< string >  sample_points,
string  solve_method = MatchGraphRequest.SolveMethod.MARKOV_CHAIN,
string  solution_table = "",
IDictionary< string, string >  options = null 
)
inline

Matches a directed route implied by a given set of latitude/longitude points to an existing underlying road network graph using a given solution type.


IMPORTANT: It's highly recommended that you review the Network Graphs & Solvers concepts documentation, the Graph REST Tutorial, and/or some /match/graph examples before using this endpoint.

Parameters
graph_nameName of the underlying geospatial graph resource to match to using .
sample_pointsSample points used to match to an underlying geospatial graph. Sample points must be specified using identifiers; identifiers are grouped as combinations. Identifiers can be used with: existing column names, e.g., 'table.column AS SAMPLE_X'; expressions, e.g., 'ST_MAKEPOINT(table.x, table.y) AS SAMPLE_WKTPOINT'; or constant values, e.g., '{1, 2, 10} AS SAMPLE_TRIPID'.
solve_methodThe type of solver to use for graph matching. Supported values:
  • MARKOV_CHAIN: Matches to the graph using the Hidden Markov Model (HMM)-based method, which conducts a range-tree closest-edge search to find the best combinations of possible road segments (num_segments) for each sample point to create the best route. The route is secured one point at a time while looking ahead chain_width number of points, so the prediction is corrected after each point. This solution type is the most accurate but also the most computationally intensive. Related options: num_segments and chain_width.
  • MATCH_OD_PAIRS: Matches to find the most probable path between origin and destination pairs with cost constraints.
  • MATCH_SUPPLY_DEMAND: Matches to optimize scheduling multiple supplies (trucks) with varying sizes to varying demand sites with varying capacities per depot. Related options: partial_loading and max_combinations.
  • MATCH_BATCH_SOLVES: Matches source and destination pairs for the shortest path solves in batch mode.
The default value is MARKOV_CHAIN.
solution_tableThe name of the table used to store the results; this table contains a track of geospatial points for the matched portion of the graph, a track ID, and a score value. Also outputs a details table containing a trip ID (that matches the track ID), the latitude/longitude pair, the timestamp the point was recorded at, and an edge ID corresponding to the matched road segment. Has the same naming restrictions as tables. Must not be an existing table of the same name. The default value is ''.
optionsAdditional parameters
  • GPS_NOISE: GPS noise value (in meters) to remove redundant sample points. Use -1 to disable noise reduction. The default value accounts for 95% of point variation (+ or -5 meters). The default value is '5.0'.
  • NUM_SEGMENTS: Maximum number of potentially matching road segments for each sample point. For the markov_chain solver, the default is 3. The default value is '3'.
  • SEARCH_RADIUS: Maximum search radius used when snapping sample points onto potentially matching surrounding segments. The default value corresponds to approximately 100 meters. The default value is '0.001'.
  • CHAIN_WIDTH: For the markov_chain solver only. Length of the sample points lookahead window within the Markov kernel; the larger the number, the more accurate the solution. The default value is '9'.
  • SOURCE: Optional WKT starting point from for the solver. The default behavior for the endpoint is to use time to determine the starting point. The default value is 'POINT NULL'.
  • DESTINATION: Optional WKT ending point from for the solver. The default behavior for the endpoint is to use time to determine the destination point. The default value is 'POINT NULL'.
  • PARTIAL_LOADING: For the match_supply_demand solver only. When false (non-default), trucks do not off-load at the demand (store) side if the remainder is less than the store's need Supported values:
    • TRUE: Partial off-loading at multiple store (demand) locations
    • FALSE: No partial off-loading allowed if supply is less than the store's demand.
    The default value is TRUE.
  • MAX_COMBINATIONS: For the match_supply_demand solver only. This is the cutoff for the number of generated combinations for sequencing the demand locations - can increase this up to 2M. The default value is '10000'.
  • LEFT_TURN_PENALTY: This will add an additonal weight over the edges labelled as 'left turn' if the 'add_turn' option parameter of the /create/graph was invoked at graph creation. The default value is '0.0'.
  • RIGHT_TURN_PENALTY: This will add an additonal weight over the edges labelled as' right turn' if the 'add_turn' option parameter of the /create/graph was invoked at graph creation. The default value is '0.0'.
  • INTERSECTION_PENALTY: This will add an additonal weight over the edges labelled as 'intersection' if the 'add_turn' option parameter of the /create/graph was invoked at graph creation. The default value is '0.0'.
  • SHARP_TURN_PENALTY: This will add an additonal weight over the edges labelled as 'sharp turn' or 'u-turn' if the 'add_turn' option parameter of the /create/graph was invoked at graph creation. The default value is '0.0'.
  • AGGREGATED_OUTPUT: For the match_supply_demand solver only. When it is true (default), each record in the output table shows a particular truck's scheduled cumulative round trip path (MULTILINESTRING) and the corresponding aggregated cost. Otherwise, each record shows a single scheduled truck route (LINESTRING) towards a particular demand location (store id) with its corresponding cost. The default value is 'true'.
  • MAX_TRIP_COST: For the match_supply_demand solver only. If this constraint is greater than zero (default) then the trucks will skip travelling from one demand location to another if the cost between them is greater than this number (distance or time). Zero (default) value means no check is performed. The default value is '0.0'.
  • FILTER_FOLDING_PATHS: For the markov_chain solver only. When true (non-default), the paths per sequence combination is checked for folding over patterns and can significantly increase the execution time depending on the chain width and the number of gps samples. Supported values:
    • TRUE: Filter out the folded paths.
    • FALSE: Do not filter out the folded paths
    The default value is FALSE.
  • UNIT_UNLOADING_COST: For the match_supply_demand solver only. The unit cost per load amount to be delivered. If this value is greater than zero (default) then the additional cost of this unit load multiplied by the total dropped load will be added over to the trip cost to the demand location. The default value is '0.0'.
  • MAX_NUM_THREADS: For the markov_chain solver only. If specified (greater than zero), the maximum number of threads will not be greater than the specified value. It can be lower due to the memory and the number cores available. Default value of zero allows the algorithm to set the maximal number of threads within these constraints. The default value is '0'.
  • TRUCK_SERVICE_LIMIT: For the match_supply_demand solver only. If specified (greather than zero), any truck's total service cost (distance or time) will be limited by the specified value including multiple rounds (if set). The default value is '0.0'.
  • ENABLE_TRUCK_REUSE: For the match_supply_demand solver only. If specified (true), all trucks can be scheduled for second rounds from their originating depots. Supported values:
    • TRUE: Allows reusing trucks for scheduling again.
    • FALSE: Trucks are scheduled only once from their depots.
    The default value is FALSE.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 11926 of file KineticaFunctions.cs.

MergeRecordsResponse kinetica.Kinetica.mergeRecords ( MergeRecordsRequest  request_)
inline

Create a new empty result table (specified by ), and insert all records from source tables (specified by ) based on the field mapping information (specified by ).


For merge records details and examples, see Merge Records. For limitations, see Merge Records Limitations and Cautions.
The field map (specified by ) holds the user-specified maps of target table column names to source table columns. The array of must match one-to-one with the , e.g., there's a map present in for each table listed in .

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 11967 of file KineticaFunctions.cs.

MergeRecordsResponse kinetica.Kinetica.mergeRecords ( string  table_name,
IList< string >  source_table_names,
IList< IDictionary< string, string >>  field_maps,
IDictionary< string, string >  options = null 
)
inline

Create a new empty result table (specified by table_name ), and insert all records from source tables (specified by source_table_names ) based on the field mapping information (specified by field_maps ).


For merge records details and examples, see Merge Records. For limitations, see Merge Records Limitations and Cautions.
The field map (specified by field_maps ) holds the user-specified maps of target table column names to source table columns. The array of field_maps must match one-to-one with the source_table_names , e.g., there's a map present in field_maps for each table listed in source_table_names .

Parameters
table_nameThe new result table name for the records to be merged. Must NOT be an existing table.
source_table_namesThe list of source table names to get the records from. Must be existing table names.
field_mapsContains a list of source/target column mappings, one mapping for each source table listed in being merged into the target table specified by . Each mapping contains the target column names (as keys) that the data in the mapped source columns or column expressions (as values) will be merged into. All of the source columns being merged into a given target column must match in type, as that type will determine the type of the new target column.
optionsOptional parameters.
  • COLLECTION_NAME: Name of a collection which is to contain the newly created merged table specified by . If the collection provided is non-existent, the collection will be automatically created. If empty, then the newly created merged table will be a top-level table.
  • IS_REPLICATED: Indicates the distribution scheme for the data of the merged table specified in . If true, the table will be replicated. If false, the table will be randomly sharded. Supported values: The default value is FALSE.
  • TTL: Sets the TTL of the merged table specified in .
  • PERSIST: If true, then the table specified in will be persisted and will not expire unless a ttl is specified. If false, then the table will be an in-memory table and will expire unless a ttl is specified otherwise. Supported values: The default value is TRUE.
  • CHUNK_SIZE: Indicates the number of records per chunk to be used for the merged table specified in .
  • VIEW_ID: view this result table is part of. The default value is ''.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 12096 of file KineticaFunctions.cs.

ModifyGraphResponse kinetica.Kinetica.modifyGraph ( ModifyGraphRequest  request_)
inline

Update an existing graph network using given nodes, edges, weights, restrictions, and options.


IMPORTANT: It's highly recommended that you review the Network Graphs & Solvers concepts documentation, the Graph REST Tutorial, and/or some graph examples before using this endpoint.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 12123 of file KineticaFunctions.cs.

ModifyGraphResponse kinetica.Kinetica.modifyGraph ( string  graph_name,
IList< string >  nodes,
IList< string >  edges,
IList< string >  weights,
IList< string >  restrictions,
IDictionary< string, string >  options = null 
)
inline

Update an existing graph network using given nodes, edges, weights, restrictions, and options.


IMPORTANT: It's highly recommended that you review the Network Graphs & Solvers concepts documentation, the Graph REST Tutorial, and/or some graph examples before using this endpoint.

Parameters
graph_nameName of the graph resource to modify.
nodesNodes with which to update existing in graph specified by . Review Nodes for more information. Nodes must be specified using identifiers; identifiers are grouped as combinations. Identifiers can be used with existing column names, e.g., 'table.column AS NODE_ID', expressions, e.g., 'ST_MAKEPOINT(column1, column2) AS NODE_WKTPOINT', or raw values, e.g., '{9, 10, 11} AS NODE_ID'. If using raw values in an identifier combination, the number of values specified must match across the combination. Identifier combination(s) do not have to match the method used to create the graph, e.g., if column names were specified to create the graph, expressions or raw values could also be used to modify the graph.
edgesEdges with which to update existing in graph specified by . Review Edges for more information. Edges must be specified using identifiers; identifiers are grouped as combinations. Identifiers can be used with existing column names, e.g., 'table.column AS EDGE_ID', expressions, e.g., 'SUBSTR(column, 1, 6) AS EDGE_NODE1_NAME', or raw values, e.g., "{'family', 'coworker'} AS EDGE_LABEL". If using raw values in an identifier combination, the number of values specified must match across the combination. Identifier combination(s) do not have to match the method used to create the graph, e.g., if column names were specified to create the graph, expressions or raw values could also be used to modify the graph.
weightsWeights with which to update existing in graph specified by . Review Weights for more information. Weights must be specified using identifiers; identifiers are grouped as combinations. Identifiers can be used with existing column names, e.g., 'table.column AS WEIGHTS_EDGE_ID', expressions, e.g., 'ST_LENGTH(wkt) AS WEIGHTS_VALUESPECIFIED', or raw values, e.g., '{4, 15} AS WEIGHTS_VALUESPECIFIED'. If using raw values in an identifier combination, the number of values specified must match across the combination. Identifier combination(s) do not have to match the method used to create the graph, e.g., if column names were specified to create the graph, expressions or raw values could also be used to modify the graph.
restrictionsRestrictions with which to update existing in graph specified by . Review Restrictions for more information. Restrictions must be specified using identifiers; identifiers are grouped as combinations. Identifiers can be used with existing column names, e.g., 'table.column AS RESTRICTIONS_EDGE_ID', expressions, e.g., 'column/2 AS RESTRICTIONS_VALUECOMPARED', or raw values, e.g., '{0, 0, 0, 1} AS RESTRICTIONS_ONOFFCOMPARED'. If using raw values in an identifier combination, the number of values specified must match across the combination. Identifier combination(s) do not have to match the method used to create the graph, e.g., if column names were specified to create the graph, expressions or raw values could also be used to modify the graph.
optionsOptional parameters.
  • RESTRICTION_THRESHOLD_VALUE: Value-based restriction comparison. Any node or edge with a RESTRICTIONS_VALUECOMPARED value greater than the restriction_threshold_value will not be included in the graph.
  • EXPORT_CREATE_RESULTS: If set to true, returns the graph topology in the response as arrays. Supported values: The default value is FALSE.
  • ENABLE_GRAPH_DRAW: If set to true, adds a 'EDGE_WKTLINE' column identifier to the specified graph_table so the graph can be viewed via WMS; for social and non-geospatial graphs, the 'EDGE_WKTLINE' column identifier will be populated with spatial coordinates derived from a flattening layout algorithm so the graph can still be viewed. Supported values: The default value is FALSE.
  • SAVE_PERSIST: If set to true, the graph will be saved in the persist directory (see the config reference for more information). If set to false, the graph will be removed when the graph server is shutdown. Supported values: The default value is FALSE.
  • ADD_TABLE_MONITOR: Adds a table monitor to every table used in the creation of the graph; this table monitor will trigger the graph to update dynamically upon inserts to the source table(s). Note that upon database restart, if save_persist is also set to true, the graph will be fully reconstructed and the table monitors will be reattached. For more details on table monitors, see /create/tablemonitor. Supported values: The default value is FALSE.
  • GRAPH_TABLE: If specified, the created graph is also created as a table with the given name and following identifier columns: 'EDGE_ID', 'EDGE_NODE1_ID', 'EDGE_NODE2_ID'. If left blank, no table is created. The default value is ''.
  • REMOVE_LABEL_ONLY: When RESTRICTIONS on labeled entities requested, if set to true this will NOT delete the entity but only the label associated with the entity. Otherwise (default), it'll delete the label AND the entity. Supported values: The default value is FALSE.
  • ADD_TURNS: Adds dummy 'pillowed' edges around intersection nodes where there are more than three edges so that additional weight penalties can be imposed by the solve endpoints. (increases the total number of edges). Supported values: The default value is FALSE.
  • TURN_ANGLE: Value in degrees modifies the thresholds for attributing right, left, sharp turns, and intersections. It is the vertical deviation angle from the incoming edge to the intersection node. The larger the value, the larger the threshold for sharp turns and intersections; the smaller the value, the larger the threshold for right and left turns; 0 < turn_angle < 90. The default value is '60'.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 12385 of file KineticaFunctions.cs.

QueryGraphResponse kinetica.Kinetica.queryGraph ( QueryGraphRequest  request_)
inline

Employs a topological query on a network graph generated a-priori by Kinetica.createGraph(string,bool,IList{string},IList{string},IList{string},IList{string},IDictionary{string, string}) and returns a list of adjacent edge(s) or node(s), also known as an adjacency list, depending on what's been provided to the endpoint; providing edges will return nodes and providing nodes will return edges.


To determine the node(s) or edge(s) adjacent to a value from a given column, provide a list of values to . This field can be populated with column values from any table as long as the type is supported by the given identifier. See Query Identifiers for more information.
To return the adjacency list in the response, leave empty. To return the adjacency list in a table and not in the response, provide a value to and set export_query_results to false. To return the adjacency list both in a table and the response, provide a value to and set export_query_results to true.
IMPORTANT: It's highly recommended that you review the Network Graphs & Solvers concepts documentation, the Graph REST Tutorial, and/or some /query/graph examples before using this endpoint.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 12437 of file KineticaFunctions.cs.

QueryGraphResponse kinetica.Kinetica.queryGraph ( string  graph_name,
IList< string >  queries,
IList< string >  restrictions = null,
string  adjacency_table = "",
int  rings = 1,
IDictionary< string, string >  options = null 
)
inline

Employs a topological query on a network graph generated a-priori by Kinetica.createGraph(string,bool,IList{string},IList{string},IList{string},IList{string},IDictionary{string, string}) and returns a list of adjacent edge(s) or node(s), also known as an adjacency list, depending on what's been provided to the endpoint; providing edges will return nodes and providing nodes will return edges.


To determine the node(s) or edge(s) adjacent to a value from a given column, provide a list of values to queries . This field can be populated with column values from any table as long as the type is supported by the given identifier. See Query Identifiers for more information.
To return the adjacency list in the response, leave adjacency_table empty. To return the adjacency list in a table and not in the response, provide a value to adjacency_table and set export_query_results to false. To return the adjacency list both in a table and the response, provide a value to adjacency_table and set export_query_results to true.
IMPORTANT: It's highly recommended that you review the Network Graphs & Solvers concepts documentation, the Graph REST Tutorial, and/or some /query/graph examples before using this endpoint.

Parameters
graph_nameName of the graph resource to query.
queriesNodes or edges to be queried specified using query identifiers. Identifiers can be used with existing column names, e.g., 'table.column AS QUERY_NODE_ID', raw values, e.g., '{0, 2} AS QUERY_NODE_ID', or expressions, e.g., 'ST_MAKEPOINT(table.x, table.y) AS QUERY_NODE_WKTPOINT'. Multiple values can be provided as long as the same identifier is used for all values. If using raw values in an identifier combination, the number of values specified must match across the combination.
restrictionsAdditional restrictions to apply to the nodes/edges of an existing graph. Restrictions must be specified using identifiers; identifiers are grouped as combinations. Identifiers can be used with existing column names, e.g., 'table.column AS RESTRICTIONS_EDGE_ID', expressions, e.g., 'column/2 AS RESTRICTIONS_VALUECOMPARED', or raw values, e.g., '{0, 0, 0, 1} AS RESTRICTIONS_ONOFFCOMPARED'. If using raw values in an identifier combination, the number of values specified must match across the combination. The default value is an empty List.
adjacency_tableName of the table to store the resulting adjacencies. If left blank, the query results are instead returned in the response even if export_query_results is set to false. If the 'QUERY_TARGET_NODE_LABEL' query identifier is used in , then two additional columns will be available: 'PATH_ID' and 'RING_ID'. See Using Labels for more information. The default value is ''.
ringsSets the number of rings around the node to query for adjacency, with '1' being the edges directly attached to the queried node. Also known as number of hops. For example, if it is set to '2', the edge(s) directly attached to the queried node(s) will be returned; in addition, the edge(s) attached to the node(s) attached to the initial ring of edge(s) surrounding the queried node(s) will be returned. If the value is set to '0', any nodes that meet the criteria in and will be returned. This parameter is only applicable when querying nodes. The default value is 1.
optionsAdditional parameters
  • FORCE_UNDIRECTED: If set to true, all inbound edges and outbound edges relative to the node will be returned. If set to false, only outbound edges relative to the node will be returned. This parameter is only applicable if the queried graph is directed and when querying nodes. Consult Directed Graphs for more details. Supported values: The default value is FALSE.
  • LIMIT: When specified, limits the number of query results. Note that if the target_nodes_table is provided, the size of the corresponding table will be limited by the limit value. The default value is an empty Dictionary.
  • TARGET_NODES_TABLE: Name of the table to store the list of the final nodes reached during the traversal. If this value is left as the default, the table name will default to the value plus a '_nodes' suffix, e.g., '<adjacency_table_name>_nodes'. The default value is ''.
  • RESTRICTION_THRESHOLD_VALUE: Value-based restriction comparison. Any node or edge with a RESTRICTIONS_VALUECOMPARED value greater than the restriction_threshold_value will not be included in the solution.
  • EXPORT_QUERY_RESULTS: Returns query results in the response. If set to true, the <member name="adjacency_list_int_array"> (if the query was based on IDs), <member name="adjacency_list_string_array"> (if the query was based on names), or <member name="adjacency_list_wkt_array"> (if the query was based on WKTs) will be populated with the results. If set to false, none of the arrays will be populated. Supported values: The default value is FALSE.
  • ENABLE_GRAPH_DRAW: If set to true, adds a WKT-type column named 'QUERY_EDGE_WKTLINE' to the given and inputs WKT values from the source graph (if available) or auto-generated WKT values (if there are no WKT values in the source graph). A subsequent call to the /wms endpoint can then be made to display the query results on a map. Supported values: The default value is FALSE.
  • AND_LABELS: If set to true, the result of the query has entities that satisfy all of the target labels, instead of any. Supported values: The default value is FALSE.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 12655 of file KineticaFunctions.cs.

RevokePermissionProcResponse kinetica.Kinetica.revokePermissionProc ( RevokePermissionProcRequest  request_)
inline

Revokes a proc-level permission from a user or role.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 12676 of file KineticaFunctions.cs.

RevokePermissionProcResponse kinetica.Kinetica.revokePermissionProc ( string  name,
string  permission,
string  proc_name,
IDictionary< string, string >  options = null 
)
inline

Revokes a proc-level permission from a user or role.

Parameters
nameName of the user or role from which the permission will be revoked. Must be an existing user or role.
permissionPermission to revoke from the user or role. Supported values:
proc_nameName of the proc to which the permission grants access. Must be an existing proc, or an empty string if the permission grants access to all procs.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 12709 of file KineticaFunctions.cs.

RevokePermissionSystemResponse kinetica.Kinetica.revokePermissionSystem ( RevokePermissionSystemRequest  request_)
inline

Revokes a system-level permission from a user or role.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 12730 of file KineticaFunctions.cs.

RevokePermissionSystemResponse kinetica.Kinetica.revokePermissionSystem ( string  name,
string  permission,
IDictionary< string, string >  options = null 
)
inline

Revokes a system-level permission from a user or role.

Parameters
nameName of the user or role from which the permission will be revoked. Must be an existing user or role.
permissionPermission to revoke from the user or role. Supported values:
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 12778 of file KineticaFunctions.cs.

RevokePermissionTableResponse kinetica.Kinetica.revokePermissionTable ( RevokePermissionTableRequest  request_)
inline

Revokes a table-level permission from a user or role.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 12797 of file KineticaFunctions.cs.

RevokePermissionTableResponse kinetica.Kinetica.revokePermissionTable ( string  name,
string  permission,
string  table_name,
IDictionary< string, string >  options = null 
)
inline

Revokes a table-level permission from a user or role.

Parameters
nameName of the user or role from which the permission will be revoked. Must be an existing user or role.
permissionPermission to revoke from the user or role. Supported values:
table_nameName of the table to which the permission grants access. Must be an existing table, collection, or view.
optionsOptional parameters.
  • COLUMNS: Apply security to these columns, comma-separated. The default value is ''.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 12859 of file KineticaFunctions.cs.

RevokeRoleResponse kinetica.Kinetica.revokeRole ( RevokeRoleRequest  request_)
inline

Revokes membership in a role from a user or role.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 12880 of file KineticaFunctions.cs.

RevokeRoleResponse kinetica.Kinetica.revokeRole ( string  role,
string  member,
IDictionary< string, string >  options = null 
)
inline

Revokes membership in a role from a user or role.

Parameters
roleName of the role in which membership will be revoked. Must be an existing role.
memberName of the user or role that will be revoked membership in . Must be an existing user or role.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 12902 of file KineticaFunctions.cs.

void kinetica.Kinetica.SetKineticaSourceClassToTypeMapping ( Type  objectType,
KineticaType  kineticaType 
)
inline

Saves an object class type to a KineticaType association.

If the class type already exists in the map, replaces the old KineticaType value.

Parameters
objectTypeThe type of the object.
kineticaTypeThe associated KinetiaType object.

Definition at line 184 of file Kinetica.cs.

ShowGraphResponse kinetica.Kinetica.showGraph ( ShowGraphRequest  request_)
inline

Shows information and characteristics of graphs that exist on the graph server.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 12956 of file KineticaFunctions.cs.

ShowGraphResponse kinetica.Kinetica.showGraph ( string  graph_name = "",
IDictionary< string, string >  options = null 
)
inline

Shows information and characteristics of graphs that exist on the graph server.

Parameters
graph_nameName of the graph on which to retrieve information. If left as the default value, information about all graphs is returned. The default value is ''.
optionsOptional parameters.
  • SHOW_ORIGINAL_REQUEST: If set to true, the request that was originally used to create the graph is also returned as JSON. Supported values: The default value is TRUE.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 12997 of file KineticaFunctions.cs.

ShowProcResponse kinetica.Kinetica.showProc ( ShowProcRequest  request_)
inline

Shows information about a proc.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 13041 of file KineticaFunctions.cs.

ShowProcResponse kinetica.Kinetica.showProc ( string  proc_name = "",
IDictionary< string, string >  options = null 
)
inline

Shows information about a proc.

Parameters
proc_nameName of the proc to show information about. If specified, must be the name of a currently existing proc. If not specified, information about all procs will be returned. The default value is ''.
optionsOptional parameters.
  • INCLUDE_FILES: If set to true, the files that make up the proc will be returned. If set to false, the files will not be returned. Supported values: The default value is FALSE.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 13083 of file KineticaFunctions.cs.

ShowProcStatusResponse kinetica.Kinetica.showProcStatus ( ShowProcStatusRequest  request_)
inline

Shows the statuses of running or completed proc instances.

Results are grouped by run ID (as returned from Kinetica.executeProc(string,IDictionary{string, string},IDictionary{string, byte[]},IList{string},IDictionary{string, IList{string}},IList{string},IDictionary{string, string})) and data segment ID (each invocation of the proc command on a data segment is assigned a data segment ID).

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 13102 of file KineticaFunctions.cs.

ShowProcStatusResponse kinetica.Kinetica.showProcStatus ( string  run_id = "",
IDictionary< string, string >  options = null 
)
inline

Shows the statuses of running or completed proc instances.

Results are grouped by run ID (as returned from Kinetica.executeProc(string,IDictionary{string, string},IDictionary{string, byte[]},IList{string},IDictionary{string, IList{string}},IList{string},IDictionary{string, string})) and data segment ID (each invocation of the proc command on a data segment is assigned a data segment ID).

Parameters
run_idThe run ID of a specific proc instance for which the status will be returned. If a proc with a matching run ID is not found, the response will be empty. If not specified, the statuses of all executed proc instances will be returned. The default value is ''.
optionsOptional parameters.
  • CLEAR_COMPLETE: If set to true, if a proc instance has completed (either successfully or unsuccessfully) then its status will be cleared and no longer returned in subsequent calls. Supported values: The default value is FALSE.
  • RUN_TAG: If is specified, return the status for a proc instance that has a matching run ID and a matching run tag that was provided to /execute/proc. If is not specified, return statuses for all proc instances where a matching run tag was provided to /execute/proc. The default value is ''.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 13160 of file KineticaFunctions.cs.

ShowResourceGroupsResponse kinetica.Kinetica.showResourceGroups ( ShowResourceGroupsRequest  request_)
inline

Requests resource group properties.

Returns detailed information about the requested resource groups.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 13211 of file KineticaFunctions.cs.

ShowResourceGroupsResponse kinetica.Kinetica.showResourceGroups ( IList< string >  names,
IDictionary< string, string >  options = null 
)
inline

Requests resource group properties.

Returns detailed information about the requested resource groups.

Parameters
namesList of names of groups to be shown. A single entry with an empty string returns all groups.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 13271 of file KineticaFunctions.cs.

ShowResourceStatisticsResponse kinetica.Kinetica.showResourceStatistics ( ShowResourceStatisticsRequest  request_)
inline

Requests various statistics for storage/memory tiers and resource groups.

Returns statistics on a per-rank basis.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 13177 of file KineticaFunctions.cs.

ShowResourceStatisticsResponse kinetica.Kinetica.showResourceStatistics ( IDictionary< string, string >  options = null)
inline

Requests various statistics for storage/memory tiers and resource groups.

Returns statistics on a per-rank basis.

Parameters
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 13195 of file KineticaFunctions.cs.

ShowSecurityResponse kinetica.Kinetica.showSecurity ( ShowSecurityRequest  request_)
inline

Shows security information relating to users and/or roles.

If the caller is not a system administrator, only information relating to the caller and their roles is returned.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 13288 of file KineticaFunctions.cs.

ShowSecurityResponse kinetica.Kinetica.showSecurity ( IList< string >  names,
IDictionary< string, string >  options = null 
)
inline

Shows security information relating to users and/or roles.

If the caller is not a system administrator, only information relating to the caller and their roles is returned.

Parameters
namesA list of names of users and/or roles about which security information is requested. If none are provided, information about all users and roles will be returned.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 13309 of file KineticaFunctions.cs.

ShowSqlProcResponse kinetica.Kinetica.showSqlProc ( ShowSqlProcRequest  request_)
inline

Shows information about SQL procedures, including the full definition of each requested procedure.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 13325 of file KineticaFunctions.cs.

ShowSqlProcResponse kinetica.Kinetica.showSqlProc ( string  procedure_name = "",
IDictionary< string, string >  options = null 
)
inline

Shows information about SQL procedures, including the full definition of each requested procedure.

Parameters
procedure_nameName of the procedure for which to retrieve the information. If blank, then information about all procedures is returned. The default value is ''.
optionsOptional parameters.
  • NO_ERROR_IF_NOT_EXISTS: If true, no error will be returned if the requested procedure does not exist. If false, an error will be returned if the requested procedure does not exist. Supported values: The default value is FALSE.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 13367 of file KineticaFunctions.cs.

ShowStatisticsResponse kinetica.Kinetica.showStatistics ( ShowStatisticsRequest  request_)
inline

Retrieves the collected column statistics for the specified table.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 13383 of file KineticaFunctions.cs.

ShowStatisticsResponse kinetica.Kinetica.showStatistics ( IList< string >  table_names,
IDictionary< string, string >  options = null 
)
inline

Retrieves the collected column statistics for the specified table.

Parameters
table_namesTables whose metadata will be fetched. All provided tables must exist, or an error is returned.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 13402 of file KineticaFunctions.cs.

ShowSystemPropertiesResponse kinetica.Kinetica.showSystemProperties ( ShowSystemPropertiesRequest  request_)
inline

Returns server configuration and version related information to the caller.

The admin tool uses it to present server related information to the user.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 13419 of file KineticaFunctions.cs.

ShowSystemPropertiesResponse kinetica.Kinetica.showSystemProperties ( IDictionary< string, string >  options = null)
inline

Returns server configuration and version related information to the caller.

The admin tool uses it to present server related information to the user.

Parameters
optionsOptional parameters.
  • PROPERTIES: A list of comma separated names of properties requested. If not specified, all properties will be returned.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 13446 of file KineticaFunctions.cs.

ShowSystemStatusResponse kinetica.Kinetica.showSystemStatus ( ShowSystemStatusRequest  request_)
inline

Provides server configuration and health related status to the caller.

The admin tool uses it to present server related information to the user.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 13462 of file KineticaFunctions.cs.

ShowSystemStatusResponse kinetica.Kinetica.showSystemStatus ( IDictionary< string, string >  options = null)
inline

Provides server configuration and health related status to the caller.

The admin tool uses it to present server related information to the user.

Parameters
optionsOptional parameters, currently unused. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 13480 of file KineticaFunctions.cs.

ShowSystemTimingResponse kinetica.Kinetica.showSystemTiming ( ShowSystemTimingRequest  request_)
inline

Returns the last 100 database requests along with the request timing and internal job id.

The admin tool uses it to present request timing information to the user.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 13496 of file KineticaFunctions.cs.

ShowSystemTimingResponse kinetica.Kinetica.showSystemTiming ( IDictionary< string, string >  options = null)
inline

Returns the last 100 database requests along with the request timing and internal job id.

The admin tool uses it to present request timing information to the user.

Parameters
optionsOptional parameters, currently unused. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 13514 of file KineticaFunctions.cs.

ShowTableResponse kinetica.Kinetica.showTable ( ShowTableRequest  request_)
inline

Retrieves detailed information about a table, view, or collection, specified in .

If the supplied is a collection, the call can return information about either the collection itself or the tables and views it contains. If is empty, information about all collections and top-level tables and views can be returned.
If the option get_sizes is set to true, then the number of records in each table is returned (in and ), along with the total number of objects across all requested tables (in and ).
For a collection, setting the show_children option to false returns only information about the collection itself; setting show_children to true returns a list of tables and views contained in the collection, along with their corresponding detail.
To retrieve a list of every table, view, and collection in the database, set to '*' and show_children to true.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 13554 of file KineticaFunctions.cs.

ShowTableResponse kinetica.Kinetica.showTable ( string  table_name,
IDictionary< string, string >  options = null 
)
inline

Retrieves detailed information about a table, view, or collection, specified in table_name .

If the supplied table_name is a collection, the call can return information about either the collection itself or the tables and views it contains. If table_name is empty, information about all collections and top-level tables and views can be returned.
If the option get_sizes is set to true, then the number of records in each table is returned (in and ), along with the total number of objects across all requested tables (in and ).
For a collection, setting the show_children option to false returns only information about the collection itself; setting show_children to true returns a list of tables and views contained in the collection, along with their corresponding detail.
To retrieve a list of every table, view, and collection in the database, set table_name to '*' and show_children to true.

Parameters
table_nameName of the table for which to retrieve the information. If blank, then information about all collections and top-level tables and views is returned.
optionsOptional parameters.
  • FORCE_SYNCHRONOUS: If true then the table sizes will wait for read lock before returning. Supported values: The default value is TRUE.
  • GET_SIZES: If true then the number of records in each table, along with a cumulative count, will be returned; blank, otherwise. Supported values: The default value is FALSE.
  • SHOW_CHILDREN: If is a collection, then true will return information about the children of the collection, and false will return information about the collection itself. If is a table or view, show_children must be false. If is empty, then show_children must be true. Supported values: The default value is TRUE.
  • NO_ERROR_IF_NOT_EXISTS: If false will return an error if the provided does not exist. If true then it will return an empty result. Supported values: The default value is FALSE.
  • GET_COLUMN_INFO: If true then column info (memory usage, etc) will be returned. Supported values: The default value is FALSE.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 13712 of file KineticaFunctions.cs.

ShowTableMetadataResponse kinetica.Kinetica.showTableMetadata ( ShowTableMetadataRequest  request_)
inline

Retrieves the user provided metadata for the specified tables.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 13728 of file KineticaFunctions.cs.

ShowTableMetadataResponse kinetica.Kinetica.showTableMetadata ( IList< string >  table_names,
IDictionary< string, string >  options = null 
)
inline

Retrieves the user provided metadata for the specified tables.

Parameters
table_namesTables whose metadata will be fetched. All provided tables must exist, or an error is returned.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 13747 of file KineticaFunctions.cs.

ShowTablesByTypeResponse kinetica.Kinetica.showTablesByType ( ShowTablesByTypeRequest  request_)
inline

Gets names of the tables whose type matches the given criteria.

Each table has a particular type. This type comprises the schema and properties of the table and sometimes a type label. This function allows a look up of the existing tables based on full or partial type information. The operation is synchronous.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 13766 of file KineticaFunctions.cs.

ShowTablesByTypeResponse kinetica.Kinetica.showTablesByType ( string  type_id,
string  label,
IDictionary< string, string >  options = null 
)
inline

Gets names of the tables whose type matches the given criteria.

Each table has a particular type. This type comprises the schema and properties of the table and sometimes a type label. This function allows a look up of the existing tables based on full or partial type information. The operation is synchronous.

Parameters
type_idType id returned by a call to /create/type.
labelOptional user supplied label which can be used instead of the type_id to retrieve all tables with the given label.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 13791 of file KineticaFunctions.cs.

ShowTriggersResponse kinetica.Kinetica.showTriggers ( ShowTriggersRequest  request_)
inline

Retrieves information regarding the specified triggers or all existing triggers currently active.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 13808 of file KineticaFunctions.cs.

ShowTriggersResponse kinetica.Kinetica.showTriggers ( IList< string >  trigger_ids,
IDictionary< string, string >  options = null 
)
inline

Retrieves information regarding the specified triggers or all existing triggers currently active.

Parameters
trigger_idsList of IDs of the triggers whose information is to be retrieved. An empty list means information will be retrieved on all active triggers.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 13828 of file KineticaFunctions.cs.

ShowTypesResponse kinetica.Kinetica.showTypes ( ShowTypesRequest  request_)
inline

Retrieves information for the specified data type ID or type label.

For all data types that match the input criteria, the database returns the type ID, the type schema, the label (if available), and the type's column properties.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 13846 of file KineticaFunctions.cs.

ShowTypesResponse kinetica.Kinetica.showTypes ( string  type_id,
string  label,
IDictionary< string, string >  options = null 
)
inline

Retrieves information for the specified data type ID or type label.

For all data types that match the input criteria, the database returns the type ID, the type schema, the label (if available), and the type's column properties.

Parameters
type_idType Id returned in response to a call to /create/type.
labelOption string that was supplied by user in a call to /create/type.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 13899 of file KineticaFunctions.cs.

SolveGraphResponse kinetica.Kinetica.solveGraph ( SolveGraphRequest  request_)
inline

Solves an existing graph for a type of problem (e.g., shortest path, page rank, travelling salesman, etc.) using source nodes, destination nodes, and additional, optional weights and restrictions.


IMPORTANT: It's highly recommended that you review the Network Graphs & Solvers concepts documentation, the Graph REST Tutorial, and/or some /solve/graph examples before using this endpoint.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 13930 of file KineticaFunctions.cs.

SolveGraphResponse kinetica.Kinetica.solveGraph ( string  graph_name,
IList< string >  weights_on_edges = null,
IList< string >  restrictions = null,
string  solver_type = SolveGraphRequest.SolverType.SHORTEST_PATH,
IList< string >  source_nodes = null,
IList< string >  destination_nodes = null,
string  solution_table = "graph_solutions",
IDictionary< string, string >  options = null 
)
inline

Solves an existing graph for a type of problem (e.g., shortest path, page rank, travelling salesman, etc.) using source nodes, destination nodes, and additional, optional weights and restrictions.


IMPORTANT: It's highly recommended that you review the Network Graphs & Solvers concepts documentation, the Graph REST Tutorial, and/or some /solve/graph examples before using this endpoint.

Parameters
graph_nameName of the graph resource to solve.
weights_on_edgesAdditional weights to apply to the edges of an existing graph. Weights must be specified using identifiers; identifiers are grouped as combinations. Identifiers can be used with existing column names, e.g., 'table.column AS WEIGHTS_EDGE_ID', expressions, e.g., 'ST_LENGTH(wkt) AS WEIGHTS_VALUESPECIFIED', or constant values, e.g., '{4, 15, 2} AS WEIGHTS_VALUESPECIFIED'. Any provided weights will be added (in the case of 'WEIGHTS_VALUESPECIFIED') to or multiplied with (in the case of 'WEIGHTS_FACTORSPECIFIED') the existing weight(s). If using constant values in an identifier combination, the number of values specified must match across the combination. The default value is an empty List.
restrictionsAdditional restrictions to apply to the nodes/edges of an existing graph. Restrictions must be specified using identifiers; identifiers are grouped as combinations. Identifiers can be used with existing column names, e.g., 'table.column AS RESTRICTIONS_EDGE_ID', expressions, e.g., 'column/2 AS RESTRICTIONS_VALUECOMPARED', or constant values, e.g., '{0, 0, 0, 1} AS RESTRICTIONS_ONOFFCOMPARED'. If using constant values in an identifier combination, the number of values specified must match across the combination. If remove_previous_restrictions is set to true, any provided restrictions will replace the existing restrictions. If remove_previous_restrictions is set to false, any provided restrictions will be added (in the case of 'RESTRICTIONS_VALUECOMPARED') to or replaced (in the case of 'RESTRICTIONS_ONOFFCOMPARED'). The default value is an empty List.
solver_typeThe type of solver to use for the graph. Supported values:
  • SHORTEST_PATH: Solves for the optimal (shortest) path based on weights and restrictions from one source to destinations nodes. Also known as the Dijkstra solver.
  • PAGE_RANK: Solves for the probability of each destination node being visited based on the links of the graph topology. Weights are not required to use this solver.
  • PROBABILITY_RANK: Solves for the transitional probability (Hidden Markov) for each node based on the weights (probability assigned over given edges).
  • CENTRALITY: Solves for the degree of a node to depict how many pairs of individuals that would have to go through the node to reach one another in the minimum number of hops. Also known as betweenness.
  • MULTIPLE_ROUTING: Solves for finding the minimum cost cumulative path for a round-trip starting from the given source and visiting each given destination node once then returning to the source. Also known as the travelling salesman problem.
  • INVERSE_SHORTEST_PATH: Solves for finding the optimal path cost for each destination node to route to the source node. Also known as inverse Dijkstra or the service man routing problem.
  • BACKHAUL_ROUTING: Solves for optimal routes that connect remote asset nodes to the fixed (backbone) asset nodes.
  • ALLPATHS: Solves for paths that would give costs between max and min solution radia - Make sure to limit by the 'max_solution_targets' option. Min cost shoudl be >= shortest_path cost.
The default value is SHORTEST_PATH.
source_nodesIt can be one of the nodal identifiers - e.g: 'NODE_WKTPOINT' for source nodes. For BACKHAUL_ROUTING, this list depicts the fixed assets. The default value is an empty List.
destination_nodesIt can be one of the nodal identifiers - e.g: 'NODE_WKTPOINT' for destination (target) nodes. For BACKHAUL_ROUTING, this list depicts the remote assets. The default value is an empty List.
solution_tableName of the table to store the solution. The default value is 'graph_solutions'.
optionsAdditional parameters
  • MAX_SOLUTION_RADIUS: For SHORTEST_PATH and INVERSE_SHORTEST_PATH solvers only. Sets the maximum solution cost radius, which ignores the list and instead outputs the nodes within the radius sorted by ascending cost. If set to '0.0', the setting is ignored. The default value is '0.0'.
  • MIN_SOLUTION_RADIUS: For SHORTEST_PATH and INVERSE_SHORTEST_PATH solvers only. Applicable only when max_solution_radius is set. Sets the minimum solution cost radius, which ignores the list and instead outputs the nodes within the radius sorted by ascending cost. If set to '0.0', the setting is ignored. The default value is '0.0'.
  • MAX_SOLUTION_TARGETS: For SHORTEST_PATH and INVERSE_SHORTEST_PATH solvers only. Sets the maximum number of solution targets, which ignores the list and instead outputs no more than n number of nodes sorted by ascending cost where n is equal to the setting value. If set to 0, the setting is ignored. The default value is '0'.
  • EXPORT_SOLVE_RESULTS: Returns solution results inside the <member name="result_per_destination_node"> array in the response if set to true. Supported values: The default value is FALSE.
  • REMOVE_PREVIOUS_RESTRICTIONS: Ignore the restrictions applied to the graph during the creation stage and only use the restrictions specified in this request if set to true. Supported values: The default value is FALSE.
  • RESTRICTION_THRESHOLD_VALUE: Value-based restriction comparison. Any node or edge with a RESTRICTIONS_VALUECOMPARED value greater than the restriction_threshold_value will not be included in the solution.
  • UNIFORM_WEIGHTS: When specified, assigns the given value to all the edges in the graph. Note that weights provided in will override this value.
  • LEFT_TURN_PENALTY: This will add an additonal weight over the edges labelled as 'left turn' if the 'add_turn' option parameter of the /create/graph was invoked at graph creation. The default value is '0.0'.
  • RIGHT_TURN_PENALTY: This will add an additonal weight over the edges labelled as' right turn' if the 'add_turn' option parameter of the /create/graph was invoked at graph creation. The default value is '0.0'.
  • INTERSECTION_PENALTY: This will add an additonal weight over the edges labelled as 'intersection' if the 'add_turn' option parameter of the /create/graph was invoked at graph creation. The default value is '0.0'.
  • SHARP_TURN_PENALTY: This will add an additonal weight over the edges labelled as 'sharp turn' or 'u-turn' if the 'add_turn' option parameter of the /create/graph was invoked at graph creation. The default value is '0.0'.
  • NUM_BEST_PATHS: For MULTIPLE_ROUTING solvers only; sets the number of shortest paths computed from each node. This is the heuristic criterion. Default value of zero allows the number to be computed automatically by the solver. The user may want to override this parameter to speed-up the solver. The default value is '0'.
  • MAX_NUM_COMBINATIONS: For MULTIPLE_ROUTING solvers only; sets the cap on the combinatorial sequences generated. If the default value of two millions is overridden to a lesser value, it can potentially speed up the solver. The default value is '2000000'.
  • ACCURATE_SNAPS: Valid for single source destination pair solves if points are described in NODE_WKTPOINT identifier types: When true (default), it snaps to the nearest node of the graph; otherwise, it searches for the closest entity that could be an edge. For the latter case (false), the solver modifies the resulting cost with the weights proportional to the ratio of the snap location within the edge. This may be an over-kill when the performance is considered and the difference is well less than 1 percent. In batch runs, since the performance is of utmost importance, the option is always considered 'false'. Supported values: The default value is TRUE.
  • OUTPUT_EDGE_PATH: If true then concatenated edge ids will be added as the EDGE path column of the solution table for each source and target pair in shortest path solves. Supported values: The default value is FALSE.
  • OUTPUT_WKT_PATH: If true then concatenated wkt line segments will be added as the Wktroute column of the solution table for each source and target pair in shortest path solves. Supported values: The default value is TRUE.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 14293 of file KineticaFunctions.cs.

UpdateRecordsResponse kinetica.Kinetica.updateRecords< T > ( UpdateRecordsRequest< T >  request_)
inline

Runs multiple predicate-based updates in a single call.

With the list of given expressions, any matching record's column values will be updated as provided in . There is also an optional 'upsert' capability where if a particular predicate doesn't match any existing record, then a new record can be inserted.
Note that this operation can only be run on an original table and not on a collection or a result view.
This operation can update primary key values. By default only 'pure primary key' predicates are allowed when updating primary key values. If the primary key for a table is the column 'attr1', then the operation will only accept predicates of the form: "attr1 == 'foo'" if the attr1 column is being updated. For a composite primary key (e.g. columns 'attr1' and 'attr2') then this operation will only accept predicates of the form: "(attr1 == 'foo') and (attr2 == 'bar')". Meaning, all primary key columns must appear in an equality predicate in the expressions. Furthermore each 'pure primary key' predicate must be unique within a given request. These restrictions can be removed by utilizing some available options through .Note that this operation can only be run on an original table and not on a collection or a result view.
The update_on_existing_pk option specifies the record collision policy for tables with a primary key, and is ignored on tables with no primary key.

Template Parameters
TThe type of object being added.
Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 14395 of file KineticaFunctions.cs.

UpdateRecordsResponse kinetica.Kinetica.updateRecords< T > ( string  table_name,
IList< string >  expressions,
IList< IDictionary< string, string >>  new_values_maps,
IList< T >  data = null,
IDictionary< string, string >  options = null 
)
inline

Runs multiple predicate-based updates in a single call.

With the list of given expressions, any matching record's column values will be updated as provided in new_values_maps . There is also an optional 'upsert' capability where if a particular predicate doesn't match any existing record, then a new record can be inserted.
Note that this operation can only be run on an original table and not on a collection or a result view.
This operation can update primary key values. By default only 'pure primary key' predicates are allowed when updating primary key values. If the primary key for a table is the column 'attr1', then the operation will only accept predicates of the form: "attr1 == 'foo'" if the attr1 column is being updated. For a composite primary key (e.g. columns 'attr1' and 'attr2') then this operation will only accept predicates of the form: "(attr1 == 'foo') and (attr2 == 'bar')". Meaning, all primary key columns must appear in an equality predicate in the expressions. Furthermore each 'pure primary key' predicate must be unique within a given request. These restrictions can be removed by utilizing some available options through options .Note that this operation can only be run on an original table and not on a collection or a result view.
The update_on_existing_pk option specifies the record collision policy for tables with a primary key, and is ignored on tables with no primary key.

Template Parameters
TThe type of object being added.
Parameters
table_nameTable to be updated. Must be a currently existing table and not a collection or view.
expressionsA list of the actual predicates, one for each update; format should follow the guidelines /filter.
new_values_mapsList of new values for the matching records. Each element is a map with (key, value) pairs where the keys are the names of the columns whose values are to be updated; the values are the new values. The number of elements in the list should match the length of .
dataAn optional list of new binary-avro encoded records to insert, one for each update. If one of does not yield a matching record to be updated, then the corresponding element from this list will be added to the table. The default value is an empty List.
optionsOptional parameters.
  • GLOBAL_EXPRESSION: An optional global expression to reduce the search space of the predicates listed in . The default value is ''.
  • BYPASS_SAFETY_CHECKS: When set to true, all predicates are available for primary key updates. Keep in mind that it is possible to destroy data in this case, since a single predicate may match multiple objects (potentially all of records of a table), and then updating all of those records to have the same primary key will, due to the primary key uniqueness constraints, effectively delete all but one of those updated records. Supported values: The default value is FALSE.
  • UPDATE_ON_EXISTING_PK: Specifies the record collision policy for tables with a primary key when updating columns of the primary key or inserting new records. If true, existing records with primary key values that match those of a record being updated or inserted will be replaced by the updated and new records. If false, existing records with matching primary key values will remain unchanged, and the updated or new records with primary key values that match those of existing records will be discarded. If the specified table does not have a primary key, then this option has no effect. Supported values:
    • TRUE: Overwrite existing records when updated and inserted records have the same primary keys
    • FALSE: Discard updated and inserted records when the same primary keys already exist
    The default value is FALSE.
  • UPDATE_PARTITION: Force qualifying records to be deleted and reinserted so their partition membership will be reevaluated. Supported values: The default value is FALSE.
  • TRUNCATE_STRINGS: If set to true, any strings which are too long for their charN string fields will be truncated to fit. Supported values: The default value is FALSE.
  • USE_EXPRESSIONS_IN_NEW_VALUES_MAPS: When set to true, all new values in are considered as expression values. When set to false, all new values in are considered as constants. NOTE: When true, string constants will need to be quoted to avoid being evaluated as expressions. Supported values: The default value is FALSE.
  • RECORD_ID: ID of a single record to be updated (returned in the call to /insert/records or /get/records/fromcollection).
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 14600 of file KineticaFunctions.cs.

UpdateRecordsBySeriesResponse kinetica.Kinetica.updateRecordsBySeries ( UpdateRecordsBySeriesRequest  request_)
inline

Updates the view specified by to include full series (track) information from the for the series (tracks) present in the .

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 14625 of file KineticaFunctions.cs.

UpdateRecordsBySeriesResponse kinetica.Kinetica.updateRecordsBySeries ( string  table_name,
string  world_table_name,
string  view_name = "",
IList< string >  reserved = null,
IDictionary< string, string >  options = null 
)
inline

Updates the view specified by table_name to include full series (track) information from the world_table_name for the series (tracks) present in the view_name .

Parameters
table_nameName of the view on which the update operation will be performed. Must be an existing view.
world_table_nameName of the table containing the complete series (track) information.
view_namename of the view containing the series (tracks) which have to be updated. The default value is ''.
reservedThe default value is an empty List.
optionsOptional parameters. The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 14653 of file KineticaFunctions.cs.

UpdateRecordsResponse kinetica.Kinetica.updateRecordsRaw ( RawUpdateRecordsRequest  request_)
inline

Runs multiple predicate-based updates in a single call.

With the list of given expressions, any matching record's column values will be updated as provided in . There is also an optional 'upsert' capability where if a particular predicate doesn't match any existing record, then a new record can be inserted.
Note that this operation can only be run on an original table and not on a collection or a result view.
This operation can update primary key values. By default only 'pure primary key' predicates are allowed when updating primary key values. If the primary key for a table is the column 'attr1', then the operation will only accept predicates of the form: "attr1 == 'foo'" if the attr1 column is being updated. For a composite primary key (e.g. columns 'attr1' and 'attr2') then this operation will only accept predicates of the form: "(attr1 == 'foo') and (attr2 == 'bar')". Meaning, all primary key columns must appear in an equality predicate in the expressions. Furthermore each 'pure primary key' predicate must be unique within a given request. These restrictions can be removed by utilizing some available options through .Note that this operation can only be run on an original table and not on a collection or a result view.
The update_on_existing_pk option specifies the record collision policy for tables with a primary key, and is ignored on tables with no primary key.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 14347 of file KineticaFunctions.cs.

VisualizeImageChartResponse kinetica.Kinetica.visualizeImageChart ( VisualizeImageChartRequest  request_)
inline

Scatter plot is the only plot type currently supported.

A non-numeric column can be specified as x or y column and jitters can be added to them to avoid excessive overlapping. All color values must be in the format RRGGBB or AARRGGBB (to specify the alpha value). The image is contained in the field.

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 15108 of file KineticaFunctions.cs.

VisualizeImageChartResponse kinetica.Kinetica.visualizeImageChart ( string  table_name,
IList< string >  x_column_names,
IList< string >  y_column_names,
double  min_x,
double  max_x,
double  min_y,
double  max_y,
int  width,
int  height,
string  bg_color,
IDictionary< string, IList< string >>  style_options,
IDictionary< string, string >  options = null 
)
inline

Scatter plot is the only plot type currently supported.

A non-numeric column can be specified as x or y column and jitters can be added to them to avoid excessive overlapping. All color values must be in the format RRGGBB or AARRGGBB (to specify the alpha value). The image is contained in the field.

Parameters
table_nameName of the table containing the data to be drawn as a chart.
x_column_namesNames of the columns containing the data mapped to the x axis of a chart.
y_column_namesNames of the columns containing the data mapped to the y axis of a chart.
min_xLower bound for the x column values. For non-numeric x column, each x column item is mapped to an integral value starting from 0.
max_xUpper bound for the x column values. For non-numeric x column, each x column item is mapped to an integral value starting from 0.
min_yLower bound for the y column values. For non-numeric y column, each y column item is mapped to an integral value starting from 0.
max_yUpper bound for the y column values. For non-numeric y column, each y column item is mapped to an integral value starting from 0.
widthWidth of the generated image in pixels.
heightHeight of the generated image in pixels.
bg_colorBackground color of the generated image.
style_optionsRendering style options for a chart.
  • POINTCOLOR: The color of points in the plot represented as a hexadecimal number. The default value is '0000FF'.
  • POINTSIZE: The size of points in the plot represented as number of pixels. The default value is '3'.
  • POINTSHAPE: The shape of points in the plot. Supported values: The default value is SQUARE.
  • CB_POINTCOLORS: Point color class break information consisting of three entries: class-break attribute, class-break values/ranges, and point color values. This option overrides the pointcolor option if both are provided. Class-break ranges are represented in the form of "min:max". Class-break values/ranges and point color values are separated by cb_delimiter, e.g. {"price", "20:30;30:40;40:50", "0xFF0000;0x00FF00;0x0000FF"}.
  • CB_POINTSIZES: Point size class break information consisting of three entries: class-break attribute, class-break values/ranges, and point size values. This option overrides the pointsize option if both are provided. Class-break ranges are represented in the form of "min:max". Class-break values/ranges and point size values are separated by cb_delimiter, e.g. {"states", "NY;TX;CA", "3;5;7"}.
  • CB_POINTSHAPES: Point shape class break information consisting of three entries: class-break attribute, class-break values/ranges, and point shape names. This option overrides the pointshape option if both are provided. Class-break ranges are represented in the form of "min:max". Class-break values/ranges and point shape names are separated by cb_delimiter, e.g. {"states", "NY;TX;CA", "circle;square;diamond"}.
  • CB_DELIMITER: A character or string which separates per-class values in a class-break style option string. The default value is ';'.
  • X_ORDER_BY: An expression or aggregate expression by which non-numeric x column values are sorted, e.g. "avg(price) descending".
  • Y_ORDER_BY: An expression or aggregate expression by which non-numeric y column values are sorted, e.g. "avg(price)", which defaults to "avg(price) ascending".
  • SCALE_TYPE_X: Type of x axis scale. Supported values:
    • NONE: No scale is applied to the x axis.
    • LOG: A base-10 log scale is applied to the x axis.
    The default value is NONE.
  • SCALE_TYPE_Y: Type of y axis scale. Supported values:
    • NONE: No scale is applied to the y axis.
    • LOG: A base-10 log scale is applied to the y axis.
    The default value is NONE.
  • MIN_MAX_SCALED: If this options is set to "false", this endpoint expects request's min/max values are not yet scaled. They will be scaled according to scale_type_x or scale_type_y for response. If this options is set to "true", this endpoint expects request's min/max values are already scaled according to scale_type_x/scale_type_y. Response's min/max values will be equal to request's min/max values. The default value is 'false'.
  • JITTER_X: Amplitude of horizontal jitter applied to non-numeric x column values. The default value is '0.0'.
  • JITTER_Y: Amplitude of vertical jitter applied to non-numeric y column values. The default value is '0.0'.
  • PLOT_ALL: If this options is set to "true", all non-numeric column values are plotted ignoring min_x, max_x, min_y and max_y parameters. The default value is 'false'.
optionsOptional parameters.
  • IMAGE_ENCODING: Encoding to be applied to the output image. When using JSON serialization it is recommended to specify this as base64. Supported values:
    • BASE64: Apply base64 encoding to the output image.
    • NONE: Do not apply any additional encoding to the output image.
    The default value is NONE.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 15365 of file KineticaFunctions.cs.

VisualizeIsochroneResponse kinetica.Kinetica.visualizeIsochrone ( VisualizeIsochroneRequest  request_)
inline

Generate an image containing isolines for travel results using an existing graph.

Isolines represent curves of equal cost, with cost typically referring to the time or distance assigned as the weights of the underlying graph. See Network Graphs & Solvers for more information on graphs. .

Parameters
request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

Definition at line 17040 of file KineticaFunctions.cs.

VisualizeIsochroneResponse kinetica.Kinetica.visualizeIsochrone ( string  graph_name,
string  source_node,
double  max_solution_radius,
IList< string >  weights_on_edges,
IList< string >  restrictions,
int  num_levels,
bool  generate_image,
string  levels_table,
IDictionary< string, string >  style_options,
IDictionary< string, string >  solve_options = null,
IDictionary< string, string >  contour_options = null,
IDictionary< string, string >  options = null 
)
inline

Generate an image containing isolines for travel results using an existing graph.

Isolines represent curves of equal cost, with cost typically referring to the time or distance assigned as the weights of the underlying graph. See Network Graphs & Solvers for more information on graphs. .

Parameters
graph_nameName of the graph on which the isochrone is to be computed.
source_nodeStarting vertex on the underlying graph from/to which the isochrones are created.
max_solution_radiusExtent of the search radius around . Set to '-1.0' for unrestricted search radius. The default value is -1.0.
weights_on_edgesAdditional weights to apply to the edges of an existing graph. Weights must be specified using identifiers; identifiers are grouped as combinations. Identifiers can be used with existing column names, e.g., 'table.column AS WEIGHTS_EDGE_ID', or expressions, e.g., 'ST_LENGTH(wkt) AS WEIGHTS_VALUESPECIFIED'. Any provided weights will be added (in the case of 'WEIGHTS_VALUESPECIFIED') to or multiplied with (in the case of 'WEIGHTS_FACTORSPECIFIED') the existing weight(s). The default value is an empty List.
restrictionsAdditional restrictions to apply to the nodes/edges of an existing graph. Restrictions must be specified using identifiers; identifiers are grouped as combinations. Identifiers can be used with existing column names, e.g., 'table.column AS RESTRICTIONS_EDGE_ID', or expressions, e.g., 'column/2 AS RESTRICTIONS_VALUECOMPARED'. If remove_previous_restrictions is set to true, any provided restrictions will replace the existing restrictions. If remove_previous_restrictions is set to false, any provided restrictions will be added (in the case of 'RESTRICTIONS_VALUECOMPARED') to or replaced (in the case of 'RESTRICTIONS_ONOFFCOMPARED'). The default value is an empty List.
num_levelsNumber of equally-separated isochrones to compute. The default value is 1.
generate_imageIf set to true, generates a PNG image of the isochrones in the response. Supported values: The default value is TRUE.
levels_tableName of the table to output the isochrones, containing levels and their corresponding WKT geometry. If no value is provided, the table is not generated. The default value is ''.
style_optionsVarious style related options of the isochrone image.
solve_optionsSolver specific parameters
  • REMOVE_PREVIOUS_RESTRICTIONS: Ignore the restrictions applied to the graph during the creation stage and only use the restrictions specified in this request if set to true. Supported values: The default value is FALSE.
  • RESTRICTION_THRESHOLD_VALUE: Value-based restriction comparison. Any node or edge with a 'RESTRICTIONS_VALUECOMPARED' value greater than the restriction_threshold_value will not be included in the solution.
  • UNIFORM_WEIGHTS: When specified, assigns the given value to all the edges in the graph. Note that weights provided in will override this value.
The default value is an empty Dictionary.
contour_optionsSolver specific parameters
  • PROJECTION: Spatial Reference System (i.e. EPSG Code). Supported values: The default value is PLATE_CARREE.
  • WIDTH: When is set to true, width of the generated image. The default value is '512'.
  • HEIGHT: When is set to true, height of the generated image. If the default value is used, the height is set to the value resulting from multiplying the aspect ratio by the width. The default value is '-1'.
  • SEARCH_RADIUS: When interpolating the graph solution to generate the isochrone, neighborhood of influence of sample data (in percent of the image/grid). The default value is '20'.
  • GRID_SIZE: When interpolating the graph solution to generate the isochrone, number of subdivisions along the x axis when building the grid (the y is computed using the aspect ratio of the output image). The default value is '100'.
  • COLOR_ISOLINES: Color each isoline according to the colormap; otherwise, use the foreground color. Supported values: The default value is TRUE.
  • ADD_LABELS: If set to true, add labels to the isolines. Supported values: The default value is FALSE.
  • LABELS_FONT_SIZE: When add_labels is set to true, size of the font (in pixels) to use for labels. The default value is '12'.
  • LABELS_FONT_FAMILY: When add_labels is set to true, font name to be used when adding labels. The default value is 'arial'.
  • LABELS_SEARCH_WINDOW: When add_labels is set to true, a search window is used to rate the local quality of each isoline. Smooth, continuous, long stretches with relatively flat angles are favored. The provided value is multiplied by the labels_font_size to calculate the final window size. The default value is '4'.
  • LABELS_INTRALEVEL_SEPARATION: When add_labels is set to true, this value determines the distance (in multiples of the labels_font_size) to use when separating labels of different values. The default value is '4'.
  • LABELS_INTERLEVEL_SEPARATION: When add_labels is set to true, this value determines the distance (in percent of the total window size) to use when separating labels of the same value. The default value is '20'.
  • LABELS_MAX_ANGLE: When add_labels is set to true, maximum angle (in degrees) from the vertical to use when adding labels. The default value is '60'.
The default value is an empty Dictionary.
optionsAdditional parameters
  • SOLVE_TABLE: Name of the table to host intermediate solve results containing the position and cost for each vertex in the graph. If the default value is used, a temporary table is created and deleted once the solution is calculated. The default value is ''.
  • IS_REPLICATED: If set to true, replicate the solve_table. Supported values: The default value is TRUE.
  • DATA_MIN_X: Lower bound for the x values. If not provided, it will be computed from the bounds of the input data.
  • DATA_MAX_X: Upper bound for the x values. If not provided, it will be computed from the bounds of the input data.
  • DATA_MIN_Y: Lower bound for the y values. If not provided, it will be computed from the bounds of the input data.
  • DATA_MAX_Y: Upper bound for the y values. If not provided, it will be computed from the bounds of the input data.
  • CONCAVITY_LEVEL: Factor to qualify the concavity of the isochrone curves. The lower the value, the more convex (with '0' being completely convex and '1' being the most concave). The default value is '0.5'.
  • USE_PRIORITY_QUEUE_SOLVERS: sets the solver methods explicitly if true Supported values:
    • TRUE: uses the solvers scheduled for 'shortest_path' and 'inverse_shortest_path' based on solve_direction
    • FALSE: uses the solvers 'priority_queue' and 'inverse_priority_queue' based on solve_direction
    The default value is FALSE.
  • SOLVE_DIRECTION: Specify whether we are going to the source node, or starting from it. Supported values:
    • FROM_SOURCE: Shortest path to get to the source (inverse Dijkstra)
    • TO_SOURCE: Shortest path to source (Dijkstra)
    The default value is FROM_SOURCE.
The default value is an empty Dictionary.
Returns
Response object containing the result of the operation.

Definition at line 17790 of file KineticaFunctions.cs.

Member Data Documentation

const string kinetica.Kinetica.API_VERSION = "7.0.19.0"

Definition at line 19 of file KineticaFunctions.cs.

const int kinetica.Kinetica.END_OF_SET = -9999

No Limit

Definition at line 45 of file Kinetica.cs.

Property Documentation

int kinetica.Kinetica.ThreadCount = false
getset

Thread Count

Definition at line 112 of file Kinetica.cs.

string kinetica.Kinetica.Url
getset

URL for Kinetica Server (including "http:" and port) as a string

Definition at line 82 of file Kinetica.cs.

Uri kinetica.Kinetica.URL
getset

URL for Kinetica Server (including "http:" and port)

Definition at line 87 of file Kinetica.cs.

string kinetica.Kinetica.Username
getset

Optional: User Name for Kinetica security

Definition at line 92 of file Kinetica.cs.

bool kinetica.Kinetica.UseSnappy = null
getset

Use Snappy

Definition at line 107 of file Kinetica.cs.


The documentation for this class was generated from the following files: