com.gpudb.protocol

Class AggregateGroupByRequest

java.lang.Object

com.gpudb.protocol.AggregateGroupByRequest

All Implemented Interfaces:

org.apache.avro.generic.GenericContainer, org.apache.avro.generic.IndexedRecord

public class AggregateGroupByRequest
extends Object
implements org.apache.avro.generic.IndexedRecord

A set of parameters for GPUdb.aggregateGroupByRaw(AggregateGroupByRequest).

Calculates unique combinations (groups) of values for the given columns in a given table/view/collection 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 columnNames is an unrestricted-length string.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	AggregateGroupByRequest.Encoding Specifies the encoding for returned records.
static class	AggregateGroupByRequest.Options Optional parameters.

Constructor Summary

Constructors

Constructor and Description
AggregateGroupByRequest() Constructs an AggregateGroupByRequest object with default parameters.
AggregateGroupByRequest(String tableName, List<String> columnNames, long offset, long limit, Map<String,String> options) Constructs an AggregateGroupByRequest object with the specified parameters.
AggregateGroupByRequest(String tableName, List<String> columnNames, long offset, long limit, String encoding, Map<String,String> options) Constructs an AggregateGroupByRequest object with the specified parameters.

Method Summary

Modifier and Type	Method and Description
boolean	equals(Object obj)
Object	get(int index) This method supports the Avro framework and is not intended to be called directly by the user.
static org.apache.avro.Schema	getClassSchema() This method supports the Avro framework and is not intended to be called directly by the user.
List<String>	getColumnNames()
String	getEncoding()
long	getLimit()
long	getOffset()
Map<String,String>	getOptions()
org.apache.avro.Schema	getSchema() This method supports the Avro framework and is not intended to be called directly by the user.
String	getTableName()
int	hashCode()
void	put(int index, Object value) This method supports the Avro framework and is not intended to be called directly by the user.
AggregateGroupByRequest	setColumnNames(List<String> columnNames)
AggregateGroupByRequest	setEncoding(String encoding)
AggregateGroupByRequest	setLimit(long limit)
AggregateGroupByRequest	setOffset(long offset)
AggregateGroupByRequest	setOptions(Map<String,String> options)
AggregateGroupByRequest	setTableName(String tableName)
String	toString()

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

AggregateGroupByRequest

public AggregateGroupByRequest()

Constructs an AggregateGroupByRequest object with default parameters.

AggregateGroupByRequest

public AggregateGroupByRequest(String tableName,
                               List<String> columnNames,
                               long offset,
                               long limit,
                               Map<String,String> options)

Constructs an AggregateGroupByRequest object with the specified parameters.

Parameters:

tableName - Name of the table on which the operation will be performed. Must be an existing table/view/collection.

columnNames - List of one or more column names, expressions, and aggregate expressions.

offset - A positive integer indicating the number of initial results to skip (this can be useful for paging through the results). The minimum allowed value is 0. The maximum allowed value is MAX_INT.

limit - A 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 default value is 1000.

options - Optional 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. Additionally this option is invalid if tableName is a collection.
• 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:
  • TRUE
  • FALSE
  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:
  • TRUE
  • FALSE
  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:
  • TRUE
  • FALSE
  The default value is FALSE.
• TTL: Sets the TTL of the table specified in result_table.
• CHUNK_SIZE: Indicates the chunk size 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: view this result table is part of. The default value is ''.
• MATERIALIZE_ON_GPU: If true then the columns of the groupby result table will be cached on the GPU. Must be used in combination with the result_table option. Supported values:
  • TRUE
  • FALSE
  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 Map.

AggregateGroupByRequest

public AggregateGroupByRequest(String tableName,
                               List<String> columnNames,
                               long offset,
                               long limit,
                               String encoding,
                               Map<String,String> options)

Constructs an AggregateGroupByRequest object with the specified parameters.

Parameters:

tableName - Name of the table on which the operation will be performed. Must be an existing table/view/collection.

columnNames - List of one or more column names, expressions, and aggregate expressions.

offset - A positive integer indicating the number of initial results to skip (this can be useful for paging through the results). The minimum allowed value is 0. The maximum allowed value is MAX_INT.

limit - A 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 default value is 1000.

encoding - Specifies the encoding for returned records. Supported values:

• BINARY: Indicates that the returned records should be binary encoded.
• JSON: Indicates that the returned records should be json encoded.

The default value is BINARY.

options - Optional 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. Additionally this option is invalid if tableName is a collection.
• 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:
  • TRUE
  • FALSE
  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:
  • TRUE
  • FALSE
  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:
  • TRUE
  • FALSE
  The default value is FALSE.
• TTL: Sets the TTL of the table specified in result_table.
• CHUNK_SIZE: Indicates the chunk size 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: view this result table is part of. The default value is ''.
• MATERIALIZE_ON_GPU: If true then the columns of the groupby result table will be cached on the GPU. Must be used in combination with the result_table option. Supported values:
  • TRUE
  • FALSE
  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 Map.

Method Detail

getClassSchema

public static org.apache.avro.Schema getClassSchema()

This method supports the Avro framework and is not intended to be called directly by the user.

Returns:

the schema for the class.

getTableName

public String getTableName()

Returns:

Name of the table on which the operation will be performed. Must be an existing table/view/collection.

setTableName

public AggregateGroupByRequest setTableName(String tableName)

Parameters:

tableName - Name of the table on which the operation will be performed. Must be an existing table/view/collection.

Returns:

this to mimic the builder pattern.

getColumnNames

public List<String> getColumnNames()

Returns:

List of one or more column names, expressions, and aggregate expressions.

setColumnNames

public AggregateGroupByRequest setColumnNames(List<String> columnNames)

Parameters:

columnNames - List of one or more column names, expressions, and aggregate expressions.

Returns:

this to mimic the builder pattern.

getOffset

public long getOffset()

Returns:

A positive integer indicating the number of initial results to skip (this can be useful for paging through the results). The minimum allowed value is 0. The maximum allowed value is MAX_INT.

setOffset

public AggregateGroupByRequest setOffset(long offset)

Parameters:

offset - A positive integer indicating the number of initial results to skip (this can be useful for paging through the results). The minimum allowed value is 0. The maximum allowed value is MAX_INT.

Returns:

this to mimic the builder pattern.

getLimit

public long getLimit()

Returns:

A 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 default value is 1000.

setLimit

public AggregateGroupByRequest setLimit(long limit)

Parameters:

limit - A 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 default value is 1000.

Returns:

this to mimic the builder pattern.

getEncoding

public String getEncoding()

Returns:

Specifies the encoding for returned records. Supported values:

• BINARY: Indicates that the returned records should be binary encoded.
• JSON: Indicates that the returned records should be json encoded.

The default value is BINARY.

setEncoding

public AggregateGroupByRequest setEncoding(String encoding)

Parameters:

encoding - Specifies the encoding for returned records. Supported values:

• BINARY: Indicates that the returned records should be binary encoded.
• JSON: Indicates that the returned records should be json encoded.

The default value is BINARY.

Returns:

this to mimic the builder pattern.

getOptions

public Map<String,String> getOptions()

Returns:

Optional 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. Additionally this option is invalid if tableName is a collection.
• 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:
  • TRUE
  • FALSE
  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:
  • TRUE
  • FALSE
  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:
  • TRUE
  • FALSE
  The default value is FALSE.
• TTL: Sets the TTL of the table specified in result_table.
• CHUNK_SIZE: Indicates the chunk size 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: view this result table is part of. The default value is ''.
• MATERIALIZE_ON_GPU: If true then the columns of the groupby result table will be cached on the GPU. Must be used in combination with the result_table option. Supported values:
  • TRUE
  • FALSE
  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 Map.

setOptions

public AggregateGroupByRequest setOptions(Map<String,String> options)

Parameters:

options - Optional 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. Additionally this option is invalid if tableName is a collection.
• 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:
  • TRUE
  • FALSE
  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:
  • TRUE
  • FALSE
  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:
  • TRUE
  • FALSE
  The default value is FALSE.
• TTL: Sets the TTL of the table specified in result_table.
• CHUNK_SIZE: Indicates the chunk size 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: view this result table is part of. The default value is ''.
• MATERIALIZE_ON_GPU: If true then the columns of the groupby result table will be cached on the GPU. Must be used in combination with the result_table option. Supported values:
  • TRUE
  • FALSE
  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 Map.

Returns:

this to mimic the builder pattern.

getSchema

public org.apache.avro.Schema getSchema()

This method supports the Avro framework and is not intended to be called directly by the user.

Specified by:

getSchema in interface org.apache.avro.generic.GenericContainer

Returns:

the schema object describing this class.

get

public Object get(int index)

This method supports the Avro framework and is not intended to be called directly by the user.

Specified by:

get in interface org.apache.avro.generic.IndexedRecord

Parameters:

index - the position of the field to get

Returns:

value of the field with the given index.

Throws:

IndexOutOfBoundsException

put

public void put(int index,
                Object value)

This method supports the Avro framework and is not intended to be called directly by the user.

Specified by:

put in interface org.apache.avro.generic.IndexedRecord

Parameters:

index - the position of the field to set

value - the value to set

Throws:

IndexOutOfBoundsException

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

toString

public String toString()

Overrides:

toString in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object