Class RawInsertRecordsRequest
org.apache.avro.generic.GenericContainer, org.apache.avro.generic.IndexedRecordGPUdb.insertRecordsRaw.
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.
Nested Class Summary
Nested ClassesModifier and TypeClassDescriptionstatic final classA set of string constants for theRawInsertRecordsRequestparameterlistEncoding.static final classA set of string constants for theRawInsertRecordsRequestparameteroptions.Constructor Summary
ConstructorsConstructorDescriptionConstructs a RawInsertRecordsRequest object with default parameters.RawInsertRecordsRequest(String tableName, List<ByteBuffer> list, List<String> listStr, String listEncoding, Map<String, String> options) Constructs a RawInsertRecordsRequest object with the specified parameters.RawInsertRecordsRequest(String tableName, List<ByteBuffer> list, Map<String, String> options) Constructs a RawInsertRecordsRequest object with the specified parameters.Method Summary
Modifier and TypeMethodDescriptionbooleanget(int index) This method supports the Avro framework and is not intended to be called directly by the user.static org.apache.avro.SchemaThis method supports the Avro framework and is not intended to be called directly by the user.getList()An array of binary-encoded data for the records to be added.The encoding of the records to be inserted.An array of JSON encoded data for the records to be added.Optional parameters.org.apache.avro.SchemaThis method supports the Avro framework and is not intended to be called directly by the user.Name of table to which the records are to be added, in [schema_name.]table_name format, using standard name resolution rules.inthashCode()voidThis method supports the Avro framework and is not intended to be called directly by the user.setList(List<ByteBuffer> list) An array of binary-encoded data for the records to be added.setListEncoding(String listEncoding) The encoding of the records to be inserted.setListStr(List<String> listStr) An array of JSON encoded data for the records to be added.setOptions(Map<String, String> options) Optional parameters.setTableName(String tableName) Name of table to which the records are to be added, in [schema_name.]table_name format, using standard name resolution rules.toString()
Constructor Details
RawInsertRecordsRequest
public RawInsertRecordsRequest()Constructs a RawInsertRecordsRequest object with default parameters.RawInsertRecordsRequest
Constructs a RawInsertRecordsRequest object with the specified parameters.Parameters:tableName- Name of table to which the records are to be added, in [schema_name.]table_name format, using standard name resolution rules. Must be an existing table.list- An 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 iflistEncodingisJSON.options- Optional parameters.UPDATE_ON_EXISTING_PK: Specifies the record collision policy for inserting into a table with a primary key. If set toTRUE, any existing table record with primary key values that match those of a record being inserted will be replaced by that new record (the new data will be “upserted”). If set toFALSE, any existing table record with primary key values that match those of a record being inserted will remain unchanged, while the new record will be rejected and the error handled as determined byIGNORE_EXISTING_PK,ALLOW_PARTIAL_BATCH, andRETURN_INDIVIDUAL_ERRORS. If the specified table does not have a primary key, then this option has no effect. Supported values:TRUE: Upsert new records when primary keys match existing records.FALSE: Reject new records when primary keys match existing records.
FALSE.ENABLE_INPLACE_UPDATES: Applies only when upserting (whenUPDATE_ON_EXISTING_PKisTRUE). If set toTRUE, an existing record matched by primary key is modified in place. If set toFALSE, it is updated by deleting the existing record and inserting a replacement (delete and insert), which prevents the change from being reflected in dependent materialized views until they are refreshed. Supported values:The default value isTRUE.IGNORE_EXISTING_PK: Specifies the record collision error-suppression policy for inserting into a table with a primary key, only used when not in upsert mode (upsert mode is disabled whenUPDATE_ON_EXISTING_PKisFALSE). If set toTRUE, any record being inserted that is rejected for having primary key values that match those of an existing table record will be ignored with no error generated. IfFALSE, the rejection of any record for having primary key values matching an existing record will result in an error being reported, as determined byALLOW_PARTIAL_BATCHandRETURN_INDIVIDUAL_ERRORS. If the specified table does not have a primary key or if upsert mode is in effect (UPDATE_ON_EXISTING_PKisTRUE), then this option has no effect. Supported values:TRUE: Ignore new records whose primary key values collide with those of existing records.FALSE: Treat as errors any new records whose primary key values collide with those of existing records.
FALSE.PK_CONFLICT_PREDICATE_HIGHER: The record with higher value for the column resolves the primary-key insert conflict. The default value is ”.PK_CONFLICT_PREDICATE_LOWER: The record with lower value for the column resolves the primary-key insert conflict. The default value is ”.RETURN_RECORD_IDS: IfTRUEthen return the internal record id along for each inserted record. Supported values:The default value isFALSE.TRUNCATE_STRINGS: If set toTRUE, any strings which are too long for their target charN string columns will be truncated to fit. Supported values:The default value isFALSE.RETURN_INDIVIDUAL_ERRORS: If set toTRUE, 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). 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 isFALSE.ALLOW_PARTIAL_BATCH: If set toTRUE, 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 isFALSE.DRY_RUN: If set toTRUE, no data will be saved and any errors will be returned. Supported values:The default value isFALSE.REQUEST_SCHEMA_STR: Type schema oflist(whenlistEncodingisBINARY), in [[“column_name”,“column_type”]] format. When non-empty and different from the table’s schema, the server remaps the incoming records to the table’s full schema. Columns present in the table but absent from this schema are filled using their default values, NULL (if nullable), or an error is returned. If empty, records must match the table’s full schema. The default value is ”.TRANSFORMATIONS: Comma-separated expressions, one per target table column. Each expression is evaluated per record. Empty entries (two consecutive commas) mean no transformation for that column — the value is resolved from the input record, table default, NULL, or an error. Expressions may reference input columns by name or by position (2 for the second, etc.). The default value is ”.
Map.RawInsertRecordsRequest
public RawInsertRecordsRequest(String tableName, List<ByteBuffer> list, List<String> listStr, String listEncoding, Map<String, String> options) Constructs a RawInsertRecordsRequest object with the specified parameters.Parameters:tableName- Name of table to which the records are to be added, in [schema_name.]table_name format, using standard name resolution rules. Must be an existing table.list- An 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 iflistEncodingisJSON.listStr- An array of JSON encoded data for the records to be added. All records must be of the same type as that of the table. Empty array iflistEncodingisBINARY.listEncoding- The encoding of the records to be inserted. Supported values:The default value isBINARY.options- Optional parameters.UPDATE_ON_EXISTING_PK: Specifies the record collision policy for inserting into a table with a primary key. If set toTRUE, any existing table record with primary key values that match those of a record being inserted will be replaced by that new record (the new data will be “upserted”). If set toFALSE, any existing table record with primary key values that match those of a record being inserted will remain unchanged, while the new record will be rejected and the error handled as determined byIGNORE_EXISTING_PK,ALLOW_PARTIAL_BATCH, andRETURN_INDIVIDUAL_ERRORS. If the specified table does not have a primary key, then this option has no effect. Supported values:TRUE: Upsert new records when primary keys match existing records.FALSE: Reject new records when primary keys match existing records.
FALSE.ENABLE_INPLACE_UPDATES: Applies only when upserting (whenUPDATE_ON_EXISTING_PKisTRUE). If set toTRUE, an existing record matched by primary key is modified in place. If set toFALSE, it is updated by deleting the existing record and inserting a replacement (delete and insert), which prevents the change from being reflected in dependent materialized views until they are refreshed. Supported values:The default value isTRUE.IGNORE_EXISTING_PK: Specifies the record collision error-suppression policy for inserting into a table with a primary key, only used when not in upsert mode (upsert mode is disabled whenUPDATE_ON_EXISTING_PKisFALSE). If set toTRUE, any record being inserted that is rejected for having primary key values that match those of an existing table record will be ignored with no error generated. IfFALSE, the rejection of any record for having primary key values matching an existing record will result in an error being reported, as determined byALLOW_PARTIAL_BATCHandRETURN_INDIVIDUAL_ERRORS. If the specified table does not have a primary key or if upsert mode is in effect (UPDATE_ON_EXISTING_PKisTRUE), then this option has no effect. Supported values:TRUE: Ignore new records whose primary key values collide with those of existing records.FALSE: Treat as errors any new records whose primary key values collide with those of existing records.
FALSE.PK_CONFLICT_PREDICATE_HIGHER: The record with higher value for the column resolves the primary-key insert conflict. The default value is ”.PK_CONFLICT_PREDICATE_LOWER: The record with lower value for the column resolves the primary-key insert conflict. The default value is ”.RETURN_RECORD_IDS: IfTRUEthen return the internal record id along for each inserted record. Supported values:The default value isFALSE.TRUNCATE_STRINGS: If set toTRUE, any strings which are too long for their target charN string columns will be truncated to fit. Supported values:The default value isFALSE.RETURN_INDIVIDUAL_ERRORS: If set toTRUE, 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). 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 isFALSE.ALLOW_PARTIAL_BATCH: If set toTRUE, 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 isFALSE.DRY_RUN: If set toTRUE, no data will be saved and any errors will be returned. Supported values:The default value isFALSE.REQUEST_SCHEMA_STR: Type schema oflist(whenlistEncodingisBINARY), in [[“column_name”,“column_type”]] format. When non-empty and different from the table’s schema, the server remaps the incoming records to the table’s full schema. Columns present in the table but absent from this schema are filled using their default values, NULL (if nullable), or an error is returned. If empty, records must match the table’s full schema. The default value is ”.TRANSFORMATIONS: Comma-separated expressions, one per target table column. Each expression is evaluated per record. Empty entries (two consecutive commas) mean no transformation for that column — the value is resolved from the input record, table default, NULL, or an error. Expressions may reference input columns by name or by position (2 for the second, etc.). The default value is ”.
Map.
Method Details
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
Name of table to which the records are to be added, in [schema_name.]table_name format, using standard name resolution rules. Must be an existing table.Returns:The current value oftableName.setTableName
Name of table to which the records are to be added, in [schema_name.]table_name format, using standard name resolution rules. Must be an existing table.Parameters:tableName- The new value fortableName.Returns:thisto mimic the builder pattern.getList
An 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 iflistEncodingisJSON.Returns:The current value oflist.setList
An 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 iflistEncodingisJSON.Parameters:list- The new value forlist.Returns:thisto mimic the builder pattern.getListStr
An array of JSON encoded data for the records to be added. All records must be of the same type as that of the table. Empty array iflistEncodingisBINARY.Returns:The current value oflistStr.setListStr
An array of JSON encoded data for the records to be added. All records must be of the same type as that of the table. Empty array iflistEncodingisBINARY.Parameters:listStr- The new value forlistStr.Returns:thisto mimic the builder pattern.getOptions
Optional parameters.UPDATE_ON_EXISTING_PK: Specifies the record collision policy for inserting into a table with a primary key. If set toTRUE, any existing table record with primary key values that match those of a record being inserted will be replaced by that new record (the new data will be “upserted”). If set toFALSE, any existing table record with primary key values that match those of a record being inserted will remain unchanged, while the new record will be rejected and the error handled as determined byIGNORE_EXISTING_PK,ALLOW_PARTIAL_BATCH, andRETURN_INDIVIDUAL_ERRORS. If the specified table does not have a primary key, then this option has no effect. Supported values:TRUE: Upsert new records when primary keys match existing records.FALSE: Reject new records when primary keys match existing records.
FALSE.ENABLE_INPLACE_UPDATES: Applies only when upserting (whenUPDATE_ON_EXISTING_PKisTRUE). If set toTRUE, an existing record matched by primary key is modified in place. If set toFALSE, it is updated by deleting the existing record and inserting a replacement (delete and insert), which prevents the change from being reflected in dependent materialized views until they are refreshed. Supported values:The default value isTRUE.IGNORE_EXISTING_PK: Specifies the record collision error-suppression policy for inserting into a table with a primary key, only used when not in upsert mode (upsert mode is disabled whenUPDATE_ON_EXISTING_PKisFALSE). If set toTRUE, any record being inserted that is rejected for having primary key values that match those of an existing table record will be ignored with no error generated. IfFALSE, the rejection of any record for having primary key values matching an existing record will result in an error being reported, as determined byALLOW_PARTIAL_BATCHandRETURN_INDIVIDUAL_ERRORS. If the specified table does not have a primary key or if upsert mode is in effect (UPDATE_ON_EXISTING_PKisTRUE), then this option has no effect. Supported values:TRUE: Ignore new records whose primary key values collide with those of existing records.FALSE: Treat as errors any new records whose primary key values collide with those of existing records.
FALSE.PK_CONFLICT_PREDICATE_HIGHER: The record with higher value for the column resolves the primary-key insert conflict. The default value is ”.PK_CONFLICT_PREDICATE_LOWER: The record with lower value for the column resolves the primary-key insert conflict. The default value is ”.RETURN_RECORD_IDS: IfTRUEthen return the internal record id along for each inserted record. Supported values:The default value isFALSE.TRUNCATE_STRINGS: If set toTRUE, any strings which are too long for their target charN string columns will be truncated to fit. Supported values:The default value isFALSE.RETURN_INDIVIDUAL_ERRORS: If set toTRUE, 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). 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 isFALSE.ALLOW_PARTIAL_BATCH: If set toTRUE, 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 isFALSE.DRY_RUN: If set toTRUE, no data will be saved and any errors will be returned. Supported values:The default value isFALSE.REQUEST_SCHEMA_STR: Type schema oflist(whenlistEncodingisBINARY), in [[“column_name”,“column_type”]] format. When non-empty and different from the table’s schema, the server remaps the incoming records to the table’s full schema. Columns present in the table but absent from this schema are filled using their default values, NULL (if nullable), or an error is returned. If empty, records must match the table’s full schema. The default value is ”.TRANSFORMATIONS: Comma-separated expressions, one per target table column. Each expression is evaluated per record. Empty entries (two consecutive commas) mean no transformation for that column — the value is resolved from the input record, table default, NULL, or an error. Expressions may reference input columns by name or by position (2 for the second, etc.). The default value is ”.
Map.Returns:The current value ofoptions.setOptions
Optional parameters.UPDATE_ON_EXISTING_PK: Specifies the record collision policy for inserting into a table with a primary key. If set toTRUE, any existing table record with primary key values that match those of a record being inserted will be replaced by that new record (the new data will be “upserted”). If set toFALSE, any existing table record with primary key values that match those of a record being inserted will remain unchanged, while the new record will be rejected and the error handled as determined byIGNORE_EXISTING_PK,ALLOW_PARTIAL_BATCH, andRETURN_INDIVIDUAL_ERRORS. If the specified table does not have a primary key, then this option has no effect. Supported values:TRUE: Upsert new records when primary keys match existing records.FALSE: Reject new records when primary keys match existing records.
FALSE.ENABLE_INPLACE_UPDATES: Applies only when upserting (whenUPDATE_ON_EXISTING_PKisTRUE). If set toTRUE, an existing record matched by primary key is modified in place. If set toFALSE, it is updated by deleting the existing record and inserting a replacement (delete and insert), which prevents the change from being reflected in dependent materialized views until they are refreshed. Supported values:The default value isTRUE.IGNORE_EXISTING_PK: Specifies the record collision error-suppression policy for inserting into a table with a primary key, only used when not in upsert mode (upsert mode is disabled whenUPDATE_ON_EXISTING_PKisFALSE). If set toTRUE, any record being inserted that is rejected for having primary key values that match those of an existing table record will be ignored with no error generated. IfFALSE, the rejection of any record for having primary key values matching an existing record will result in an error being reported, as determined byALLOW_PARTIAL_BATCHandRETURN_INDIVIDUAL_ERRORS. If the specified table does not have a primary key or if upsert mode is in effect (UPDATE_ON_EXISTING_PKisTRUE), then this option has no effect. Supported values:TRUE: Ignore new records whose primary key values collide with those of existing records.FALSE: Treat as errors any new records whose primary key values collide with those of existing records.
FALSE.PK_CONFLICT_PREDICATE_HIGHER: The record with higher value for the column resolves the primary-key insert conflict. The default value is ”.PK_CONFLICT_PREDICATE_LOWER: The record with lower value for the column resolves the primary-key insert conflict. The default value is ”.RETURN_RECORD_IDS: IfTRUEthen return the internal record id along for each inserted record. Supported values:The default value isFALSE.TRUNCATE_STRINGS: If set toTRUE, any strings which are too long for their target charN string columns will be truncated to fit. Supported values:The default value isFALSE.RETURN_INDIVIDUAL_ERRORS: If set toTRUE, 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). 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 isFALSE.ALLOW_PARTIAL_BATCH: If set toTRUE, 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 isFALSE.DRY_RUN: If set toTRUE, no data will be saved and any errors will be returned. Supported values:The default value isFALSE.REQUEST_SCHEMA_STR: Type schema oflist(whenlistEncodingisBINARY), in [[“column_name”,“column_type”]] format. When non-empty and different from the table’s schema, the server remaps the incoming records to the table’s full schema. Columns present in the table but absent from this schema are filled using their default values, NULL (if nullable), or an error is returned. If empty, records must match the table’s full schema. The default value is ”.TRANSFORMATIONS: Comma-separated expressions, one per target table column. Each expression is evaluated per record. Empty entries (two consecutive commas) mean no transformation for that column — the value is resolved from the input record, table default, NULL, or an error. Expressions may reference input columns by name or by position (2 for the second, etc.). The default value is ”.
Map.Parameters:options- The new value foroptions.Returns:thisto 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:getSchemain interfaceorg.apache.avro.generic.GenericContainerReturns:The schema object describing this class.get
This method supports the Avro framework and is not intended to be called directly by the user.Specified by:getin interfaceorg.apache.avro.generic.IndexedRecordParameters:index- the position of the field to getReturns:value of the field with the given index.Throws:put
This method supports the Avro framework and is not intended to be called directly by the user.Specified by:putin interfaceorg.apache.avro.generic.IndexedRecordParameters:index- the position of the field to setvalue- the value to setThrows: