com.gpudb.protocol

Class InsertRecordsFromPayloadRequest

java.lang.Object

com.gpudb.protocol.InsertRecordsFromPayloadRequest

All Implemented Interfaces:

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

Direct Known Subclasses:

GPUdbBase.InsertRecordsJsonRequest

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

A set of parameters for GPUdb.insertRecordsFromPayload.

Reads from the given text-based or binary payload and inserts the data into a new or existing table. The table will be created if it doesn't already exist.

Returns once all records are processed.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	InsertRecordsFromPayloadRequest.CreateTableOptions A set of string constants for the InsertRecordsFromPayloadRequest parameter createTableOptions.
static class	InsertRecordsFromPayloadRequest.Options A set of string constants for the InsertRecordsFromPayloadRequest parameter options.

Constructor Summary

Constructors

Constructor and Description
InsertRecordsFromPayloadRequest() Constructs an InsertRecordsFromPayloadRequest object with default parameters.
InsertRecordsFromPayloadRequest(String tableName, String dataText, ByteBuffer dataBytes, Map<String,Map<String,String>> modifyColumns, Map<String,String> createTableOptions, Map<String,String> options) Constructs an InsertRecordsFromPayloadRequest 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.
Map<String,String>	getCreateTableOptions() Options used when creating the target table.
ByteBuffer	getDataBytes() Records formatted as binary data
String	getDataText() Records formatted as delimited text
Map<String,Map<String,String>>	getModifyColumns() Not implemented yet.
Map<String,String>	getOptions() Optional parameters.
org.apache.avro.Schema	getSchema() This method supports the Avro framework and is not intended to be called directly by the user.
String	getTableName() Name of the table into which the data will be inserted, in [schema_name.]table_name format, using standard	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.
InsertRecordsFromPayloadRequest	setCreateTableOptions(Map<String,String> createTableOptions) Options used when creating the target table.
InsertRecordsFromPayloadRequest	setDataBytes(ByteBuffer dataBytes) Records formatted as binary data
InsertRecordsFromPayloadRequest	setDataText(String dataText) Records formatted as delimited text
InsertRecordsFromPayloadRequest	setModifyColumns(Map<String,Map<String,String>> modifyColumns) Not implemented yet.
InsertRecordsFromPayloadRequest	setOptions(Map<String,String> options) Optional parameters.
InsertRecordsFromPayloadRequest	setTableName(String tableName) Name of the table into which the data will be inserted, in [schema_name.]table_name format, using standard	String	toString()

Methods inherited from class java.lang.Object

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

Constructor Detail

InsertRecordsFromPayloadRequest

public InsertRecordsFromPayloadRequest()

Constructs an InsertRecordsFromPayloadRequest object with default parameters.

InsertRecordsFromPayloadRequest

public InsertRecordsFromPayloadRequest(String tableName,
                                       String dataText,
                                       ByteBuffer dataBytes,
                                       Map<String,Map<String,String>> modifyColumns,
                                       Map<String,String> createTableOptions,
                                       Map<String,String> options)

Constructs an InsertRecordsFromPayloadRequest object with the specified parameters.

Parameters:

tableName - Name of the table into which the data will be inserted, in [schema_name.]table_name format, using standard name resolution rules. If the table does not exist, the table will be created using either an existing TYPE_ID or the type inferred from the payload, and the new table name will have to meet standard table naming criteria.

dataText - Records formatted as delimited text

dataBytes - Records formatted as binary data

modifyColumns - Not implemented yet. The default value is an empty Map.

createTableOptions - Options used when creating the target table. Includes type to use. The other options match those in GPUdb.createTable.

• TYPE_ID: ID of a currently registered type. The default value is ''.
• NO_ERROR_IF_EXISTS: If TRUE, prevents an error from occurring if the table already exists and is of the given type. If a table with the same ID but a different type exists, it is still an error. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• IS_REPLICATED: Affects the distribution scheme for the table's data. If TRUE and the given type has no explicit shard key defined, the table will be replicated. If FALSE, the table will be sharded according to the shard key specified in the given TYPE_ID, or randomly sharded, if no shard key is specified. Note that a type containing a shard key cannot be used to create a replicated table. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• FOREIGN_KEYS: Semicolon-separated list of foreign keys, of the format '(source_column_name [, ...]) references target_table_name(primary_key_column_name [, ...]) [as foreign_key_name]'.
• FOREIGN_SHARD_KEY: Foreign shard key of the format 'source_column references shard_by_column from target_table(primary_key_column)'.
• PARTITION_TYPE: Partitioning scheme to use. Supported values:
  • RANGE: Use range partitioning.
  • INTERVAL: Use interval partitioning.
  • LIST: Use list partitioning.
  • HASH: Use hash partitioning.
  • SERIES: Use series partitioning.
• PARTITION_KEYS: Comma-separated list of partition keys, which are the columns or column expressions by which records will be assigned to partitions defined by PARTITION_DEFINITIONS.
• PARTITION_DEFINITIONS: Comma-separated list of partition definitions, whose format depends on the choice of PARTITION_TYPE. See range partitioning, interval partitioning, list partitioning, hash partitioning, or series partitioning for example formats.
• IS_AUTOMATIC_PARTITION: If TRUE, a new partition will be created for values which don't fall into an existing partition. Currently only supported for list partitions. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• TTL: Sets the TTL of the table specified in tableName.
• CHUNK_SIZE: Indicates the number of records per chunk to be used for this table.
• CHUNK_COLUMN_MAX_MEMORY: Indicates the target maximum data size for each column in a chunk to be used for this table.
• CHUNK_MAX_MEMORY: Indicates the target maximum data size for all columns in a chunk to be used for this table.
• IS_RESULT_TABLE: Indicates whether the table is a memory-only table. A result table cannot contain columns with text_search data-handling, and it will not be retained if the server is restarted. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• STRATEGY_DEFINITION: The tier strategy for the table and its columns.

The default value is an empty Map.

options - Optional parameters.

• AVRO_HEADER_BYTES: Optional number of bytes to skip when reading an avro record.
• AVRO_NUM_RECORDS: Optional number of avro records, if data includes only records.
• AVRO_SCHEMA: Optional string representing avro schema, for insert records in avro format, that does not include is schema.
• AVRO_SCHEMALESS: When user provides 'avro_schema', avro data is assumed to be schemaless, unless specified. Default is 'true' when given avro_schema. Igonred when avro_schema is not given. Supported values:
  • TRUE
  • FALSE
• BAD_RECORD_TABLE_NAME: Optional name of a table to which records that were rejected are written. The bad-record-table has the following columns: line_number (long), line_rejected (string), error_message (string).
• BAD_RECORD_TABLE_LIMIT: A positive integer indicating the maximum number of records that can be written to the bad-record-table. Default value is 10000
• BAD_RECORD_TABLE_LIMIT_PER_INPUT: For subscriptions: A positive integer indicating the maximum number of records that can be written to the bad-record-table per file/payload. Default value will be 'bad_record_table_limit' and total size of the table per rank is limited to 'bad_record_table_limit'
• BATCH_SIZE: Internal tuning parameter--number of records per batch when inserting data.
• 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: Specifies a comma-delimited list of columns from the source data to load. If more than one file is being loaded, this list applies to all files. Column numbers can be specified discretely or as a range. For example, a value of '5,7,1..3' will insert values from the fifth column in the source data into the first column in the target table, from the seventh column in the source data into the second column in the target table, and from the first through third columns in the source data into the third through fifth columns in the target table. If the source data contains a header, column names matching the file header names may be provided instead of column numbers. If the target table doesn't exist, the table will be created with the columns in this order. If the target table does exist with columns in a different order than the source data, this list can be used to match the order of the target table. For example, a value of 'C, B, A' will create a three column table with column C, followed by column B, followed by column A; or will insert those fields in that order into a table created with columns in that order. If the target table exists, the column names must match the source data field names for a name-mapping to be successful. Mutually exclusive with COLUMNS_TO_SKIP.
• COLUMNS_TO_SKIP: Specifies a comma-delimited list of columns from the source data to skip. Mutually exclusive with COLUMNS_TO_LOAD.
• COMPRESSION_TYPE: Optional: payload compression type. Supported values:
  • NONE: Uncompressed
  • AUTO: Default. Auto detect compression type
  • GZIP: gzip file compression.
  • BZIP2: bzip2 file compression.
  The default value is AUTO.
• DEFAULT_COLUMN_FORMATS: Specifies the default format to be applied to source data loaded into columns with the corresponding column property. Currently supported column properties include date, time, & datetime. 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"
• 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. Primary key collisions are considered abortable errors in this mode.
  The default value is ABORT.
• FILE_TYPE: Specifies the type of the file(s) whose records will be inserted. Supported values:
  • AVRO: Avro file format
  • DELIMITED_TEXT: Delimited text file format; e.g., CSV, TSV, PSV, etc.
  • GDB: Esri/GDB file format
  • JSON: Json file format
  • PARQUET: Apache Parquet file format
  • SHAPEFILE: ShapeFile file format
  The default value is DELIMITED_TEXT.
• FLATTEN_COLUMNS: Specifies how to handle nested columns. Supported values:
  • TRUE: Break up nested columns to multiple columns
  • FALSE: Treat nested columns as json columns instead of flattening
  The default value is FALSE.
• GDAL_CONFIGURATION_OPTIONS: Comma separated list of gdal conf options, for the specific requets: key=value. The default value is ''.
• 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 when UPDATE_ON_EXISTING_PK is FALSE). If set to TRUE, 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. If FALSE, the rejection of any record for having primary key values matching an existing record will result in an error being reported, as determined by ERROR_HANDLING. If the specified table does not have a primary key or if upsert mode is in effect (UPDATE_ON_EXISTING_PK is TRUE), 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
  The default value is FALSE.
• INGESTION_MODE: Whether to do a full load, dry run, or perform a type inference on the source data. Supported values:
  • FULL: Run a type inference on the source data (if needed) and ingest
  • DRY_RUN: Does not load data, but walks through the source data and determines the number of valid records, taking into account the current mode of ERROR_HANDLING.
  • TYPE_INFERENCE_ONLY: Infer the type of the source data and return, without ingesting any data. The inferred type is returned in the response.
  The default value is FULL.
• LAYER: Optional: geo files layer(s) name(s): comma separated. The default value is ''.
• LOADING_MODE: Scheme for distributing the extraction and loading of data from the source data file(s). This option applies only when loading files that are local to the database. Supported values:
  • HEAD: The head node loads all data. All files must be available to the head node.
  • DISTRIBUTED_SHARED: The head node coordinates loading data by worker processes across all nodes from shared files available to all workers. NOTE: Instead of existing on a shared source, the files can be duplicated on a source local to each host to improve performance, though the files must appear as the same data set from the perspective of all hosts performing the load.
  • DISTRIBUTED_LOCAL: A single worker process on each node loads all files that are available to it. This option works best when each worker loads files from its own file system, to maximize performance. In order to avoid data duplication, either each worker performing the load needs to have visibility to a set of files unique to it (no file is visible to more than one node) or the target table needs to have a primary key (which will allow the worker to automatically deduplicate data). NOTE: If the target table doesn't exist, the table structure will be determined by the head node. If the head node has no files local to it, it will be unable to determine the structure and the request will fail. If the head node is configured to have no worker processes, no data strictly accessible to the head node will be loaded.
  The default value is HEAD.
• LOCAL_TIME_OFFSET: For Avro local timestamp columns
• MAX_RECORDS_TO_LOAD: Limit the number of records to load in this request: If this number is larger than a batch_size, then the number of records loaded will be limited to the next whole number of batch_size (per working thread). The default value is ''.
• NUM_TASKS_PER_RANK: Optional: number of tasks for reading file per rank. Default will be external_file_reader_num_tasks
• POLL_INTERVAL: If TRUE, the number of seconds between attempts to load external files into the table. If zero, polling will be continuous as long as data is found. If no data is found, the interval will steadily increase to a maximum of 60 seconds.
• PRIMARY_KEYS: Optional: comma separated list of column names, to set as primary keys, when not specified in the type. The default value is ''.
• SCHEMA_REGISTRY_SCHEMA_ID
• SCHEMA_REGISTRY_SCHEMA_NAME
• SCHEMA_REGISTRY_SCHEMA_VERSION
• SHARD_KEYS: Optional: comma separated list of column names, to set as primary keys, when not specified in the type. The default value is ''.
• SKIP_LINES: Skip number of lines from begining of file.
• SUBSCRIBE: Continuously poll the data source to check for new data and load it into the table. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• TABLE_INSERT_MODE: Optional: table_insert_mode. When inserting records from multiple files: if table_per_file then insert from each file into a new table. Currently supported only for shapefiles. Supported values:
  • SINGLE
  • TABLE_PER_FILE
  The default value is SINGLE.
• TEXT_COMMENT_STRING: Specifies the character string that should be interpreted as a comment line prefix in the source data. All lines in the data starting with the provided string are ignored. For DELIMITED_TEXT FILE_TYPE only. The default value is '#'.
• TEXT_DELIMITER: Specifies the character delimiting field values in the source data and field names in the header (if present). For DELIMITED_TEXT FILE_TYPE only. The default value is ','.
• TEXT_ESCAPE_CHARACTER: Specifies the character that is used to escape other characters in the source data. An 'a', 'b', 'f', 'n', 'r', 't', or 'v' preceded by an escape character will be interpreted as the ASCII bell, backspace, form feed, line feed, carriage return, horizontal tab, & vertical tab, respectively. For example, the escape character followed by an 'n' will be interpreted as a newline within a field value. The escape character can also be used to escape the quoting character, and will be treated as an escape character whether it is within a quoted field value or not. For DELIMITED_TEXT FILE_TYPE only.
• TEXT_HAS_HEADER: Indicates whether the source data contains a header row. For DELIMITED_TEXT FILE_TYPE only. Supported values:
  • TRUE
  • FALSE
  The default value is TRUE.
• TEXT_HEADER_PROPERTY_DELIMITER: Specifies the delimiter for column properties in the header row (if present). Cannot be set to same value as TEXT_DELIMITER. For DELIMITED_TEXT FILE_TYPE only. The default value is '|'.
• TEXT_NULL_STRING: Specifies the character string that should be interpreted as a null value in the source data. For DELIMITED_TEXT FILE_TYPE only. The default value is '\N'.
• TEXT_QUOTE_CHARACTER: Specifies the character that should be interpreted as a field value quoting character in the source data. The character must appear at beginning and end of field value to take effect. Delimiters within quoted fields are treated as literals and not delimiters. Within a quoted field, two consecutive quote characters will be interpreted as a single literal quote character, effectively escaping it. To not have a quote character, specify an empty string. For DELIMITED_TEXT FILE_TYPE only. The default value is '"'.
• TEXT_SEARCH_COLUMNS: Add 'text_search' property to internally inferenced string columns. Comma seperated list of column names or '*' for all columns. To add text_search property only to string columns of minimum size, set also the option 'text_search_min_column_length'
• TEXT_SEARCH_MIN_COLUMN_LENGTH: Set minimum column size. Used only when 'text_search_columns' has a value.
• TRUNCATE_STRINGS: If set to TRUE, truncate string values that are longer than the column's type size. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• TRUNCATE_TABLE: If set to TRUE, truncates the table specified by tableName prior to loading the file(s). Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• TYPE_INFERENCE_MODE: optimize type inference for: Supported values:
  • ACCURACY: Scans data to get exactly-typed & sized columns for all data scanned.
  • SPEED: Scans data and picks the widest possible column types so that 'all' values will fit with minimum data scanned
  The default value is ACCURACY.
• 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 (the new data will be "upserted"). If set to FALSE, 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 by IGNORE_EXISTING_PK & ERROR_HANDLING. 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
  The default value is FALSE.

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()

Name of the table into which the data will be inserted, in [schema_name.]table_name format, using standard name resolution rules. If the table does not exist, the table will be created using either an existing TYPE_ID or the type inferred from the payload, and the new table name will have to meet standard table naming criteria.

Returns:

The current value of tableName.

setTableName

public InsertRecordsFromPayloadRequest setTableName(String tableName)

Name of the table into which the data will be inserted, in [schema_name.]table_name format, using standard name resolution rules. If the table does not exist, the table will be created using either an existing TYPE_ID or the type inferred from the payload, and the new table name will have to meet standard table naming criteria.

Parameters:

tableName - The new value for tableName.

Returns:

this to mimic the builder pattern.

getDataText

public String getDataText()

Records formatted as delimited text

Returns:

The current value of dataText.

setDataText

public InsertRecordsFromPayloadRequest setDataText(String dataText)

Records formatted as delimited text

Parameters:

dataText - The new value for dataText.

Returns:

this to mimic the builder pattern.

getDataBytes

public ByteBuffer getDataBytes()

Records formatted as binary data

Returns:

The current value of dataBytes.

setDataBytes

public InsertRecordsFromPayloadRequest setDataBytes(ByteBuffer dataBytes)

Records formatted as binary data

Parameters:

dataBytes - The new value for dataBytes.

Returns:

this to mimic the builder pattern.

getModifyColumns

public Map<String,Map<String,String>> getModifyColumns()

Not implemented yet. The default value is an empty Map.

Returns:

The current value of modifyColumns.

setModifyColumns

public InsertRecordsFromPayloadRequest setModifyColumns(Map<String,Map<String,String>> modifyColumns)

Not implemented yet. The default value is an empty Map.

Parameters:

modifyColumns - The new value for modifyColumns.

Returns:

this to mimic the builder pattern.

getCreateTableOptions

public Map<String,String> getCreateTableOptions()

Options used when creating the target table. Includes type to use. The other options match those in GPUdb.createTable.

• TYPE_ID: ID of a currently registered type. The default value is ''.
• NO_ERROR_IF_EXISTS: If TRUE, prevents an error from occurring if the table already exists and is of the given type. If a table with the same ID but a different type exists, it is still an error. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• IS_REPLICATED: Affects the distribution scheme for the table's data. If TRUE and the given type has no explicit shard key defined, the table will be replicated. If FALSE, the table will be sharded according to the shard key specified in the given TYPE_ID, or randomly sharded, if no shard key is specified. Note that a type containing a shard key cannot be used to create a replicated table. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• FOREIGN_KEYS: Semicolon-separated list of foreign keys, of the format '(source_column_name [, ...]) references target_table_name(primary_key_column_name [, ...]) [as foreign_key_name]'.
• FOREIGN_SHARD_KEY: Foreign shard key of the format 'source_column references shard_by_column from target_table(primary_key_column)'.
• PARTITION_TYPE: Partitioning scheme to use. Supported values:
  • RANGE: Use range partitioning.
  • INTERVAL: Use interval partitioning.
  • LIST: Use list partitioning.
  • HASH: Use hash partitioning.
  • SERIES: Use series partitioning.
• PARTITION_KEYS: Comma-separated list of partition keys, which are the columns or column expressions by which records will be assigned to partitions defined by PARTITION_DEFINITIONS.
• PARTITION_DEFINITIONS: Comma-separated list of partition definitions, whose format depends on the choice of PARTITION_TYPE. See range partitioning, interval partitioning, list partitioning, hash partitioning, or series partitioning for example formats.
• IS_AUTOMATIC_PARTITION: If TRUE, a new partition will be created for values which don't fall into an existing partition. Currently only supported for list partitions. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• TTL: Sets the TTL of the table specified in tableName.
• CHUNK_SIZE: Indicates the number of records per chunk to be used for this table.
• CHUNK_COLUMN_MAX_MEMORY: Indicates the target maximum data size for each column in a chunk to be used for this table.
• CHUNK_MAX_MEMORY: Indicates the target maximum data size for all columns in a chunk to be used for this table.
• IS_RESULT_TABLE: Indicates whether the table is a memory-only table. A result table cannot contain columns with text_search data-handling, and it will not be retained if the server is restarted. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• STRATEGY_DEFINITION: The tier strategy for the table and its columns.

The default value is an empty Map.

Returns:

The current value of createTableOptions.

setCreateTableOptions

public InsertRecordsFromPayloadRequest setCreateTableOptions(Map<String,String> createTableOptions)

Options used when creating the target table. Includes type to use. The other options match those in GPUdb.createTable.

• TYPE_ID: ID of a currently registered type. The default value is ''.
• NO_ERROR_IF_EXISTS: If TRUE, prevents an error from occurring if the table already exists and is of the given type. If a table with the same ID but a different type exists, it is still an error. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• IS_REPLICATED: Affects the distribution scheme for the table's data. If TRUE and the given type has no explicit shard key defined, the table will be replicated. If FALSE, the table will be sharded according to the shard key specified in the given TYPE_ID, or randomly sharded, if no shard key is specified. Note that a type containing a shard key cannot be used to create a replicated table. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• FOREIGN_KEYS: Semicolon-separated list of foreign keys, of the format '(source_column_name [, ...]) references target_table_name(primary_key_column_name [, ...]) [as foreign_key_name]'.
• FOREIGN_SHARD_KEY: Foreign shard key of the format 'source_column references shard_by_column from target_table(primary_key_column)'.
• PARTITION_TYPE: Partitioning scheme to use. Supported values:
  • RANGE: Use range partitioning.
  • INTERVAL: Use interval partitioning.
  • LIST: Use list partitioning.
  • HASH: Use hash partitioning.
  • SERIES: Use series partitioning.
• PARTITION_KEYS: Comma-separated list of partition keys, which are the columns or column expressions by which records will be assigned to partitions defined by PARTITION_DEFINITIONS.
• PARTITION_DEFINITIONS: Comma-separated list of partition definitions, whose format depends on the choice of PARTITION_TYPE. See range partitioning, interval partitioning, list partitioning, hash partitioning, or series partitioning for example formats.
• IS_AUTOMATIC_PARTITION: If TRUE, a new partition will be created for values which don't fall into an existing partition. Currently only supported for list partitions. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• TTL: Sets the TTL of the table specified in tableName.
• CHUNK_SIZE: Indicates the number of records per chunk to be used for this table.
• CHUNK_COLUMN_MAX_MEMORY: Indicates the target maximum data size for each column in a chunk to be used for this table.
• CHUNK_MAX_MEMORY: Indicates the target maximum data size for all columns in a chunk to be used for this table.
• IS_RESULT_TABLE: Indicates whether the table is a memory-only table. A result table cannot contain columns with text_search data-handling, and it will not be retained if the server is restarted. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• STRATEGY_DEFINITION: The tier strategy for the table and its columns.

The default value is an empty Map.

Parameters:

createTableOptions - The new value for createTableOptions.

Returns:

this to mimic the builder pattern.

getOptions

public Map<String,String> getOptions()

Optional parameters.

• AVRO_HEADER_BYTES: Optional number of bytes to skip when reading an avro record.
• AVRO_NUM_RECORDS: Optional number of avro records, if data includes only records.
• AVRO_SCHEMA: Optional string representing avro schema, for insert records in avro format, that does not include is schema.
• AVRO_SCHEMALESS: When user provides 'avro_schema', avro data is assumed to be schemaless, unless specified. Default is 'true' when given avro_schema. Igonred when avro_schema is not given. Supported values:
  • TRUE
  • FALSE
• BAD_RECORD_TABLE_NAME: Optional name of a table to which records that were rejected are written. The bad-record-table has the following columns: line_number (long), line_rejected (string), error_message (string).
• BAD_RECORD_TABLE_LIMIT: A positive integer indicating the maximum number of records that can be written to the bad-record-table. Default value is 10000
• BAD_RECORD_TABLE_LIMIT_PER_INPUT: For subscriptions: A positive integer indicating the maximum number of records that can be written to the bad-record-table per file/payload. Default value will be 'bad_record_table_limit' and total size of the table per rank is limited to 'bad_record_table_limit'
• BATCH_SIZE: Internal tuning parameter--number of records per batch when inserting data.
• 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: Specifies a comma-delimited list of columns from the source data to load. If more than one file is being loaded, this list applies to all files. Column numbers can be specified discretely or as a range. For example, a value of '5,7,1..3' will insert values from the fifth column in the source data into the first column in the target table, from the seventh column in the source data into the second column in the target table, and from the first through third columns in the source data into the third through fifth columns in the target table. If the source data contains a header, column names matching the file header names may be provided instead of column numbers. If the target table doesn't exist, the table will be created with the columns in this order. If the target table does exist with columns in a different order than the source data, this list can be used to match the order of the target table. For example, a value of 'C, B, A' will create a three column table with column C, followed by column B, followed by column A; or will insert those fields in that order into a table created with columns in that order. If the target table exists, the column names must match the source data field names for a name-mapping to be successful. Mutually exclusive with COLUMNS_TO_SKIP.
• COLUMNS_TO_SKIP: Specifies a comma-delimited list of columns from the source data to skip. Mutually exclusive with COLUMNS_TO_LOAD.
• COMPRESSION_TYPE: Optional: payload compression type. Supported values:
  • NONE: Uncompressed
  • AUTO: Default. Auto detect compression type
  • GZIP: gzip file compression.
  • BZIP2: bzip2 file compression.
  The default value is AUTO.
• DEFAULT_COLUMN_FORMATS: Specifies the default format to be applied to source data loaded into columns with the corresponding column property. Currently supported column properties include date, time, & datetime. 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"
• 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. Primary key collisions are considered abortable errors in this mode.
  The default value is ABORT.
• FILE_TYPE: Specifies the type of the file(s) whose records will be inserted. Supported values:
  • AVRO: Avro file format
  • DELIMITED_TEXT: Delimited text file format; e.g., CSV, TSV, PSV, etc.
  • GDB: Esri/GDB file format
  • JSON: Json file format
  • PARQUET: Apache Parquet file format
  • SHAPEFILE: ShapeFile file format
  The default value is DELIMITED_TEXT.
• FLATTEN_COLUMNS: Specifies how to handle nested columns. Supported values:
  • TRUE: Break up nested columns to multiple columns
  • FALSE: Treat nested columns as json columns instead of flattening
  The default value is FALSE.
• GDAL_CONFIGURATION_OPTIONS: Comma separated list of gdal conf options, for the specific requets: key=value. The default value is ''.
• 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 when UPDATE_ON_EXISTING_PK is FALSE). If set to TRUE, 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. If FALSE, the rejection of any record for having primary key values matching an existing record will result in an error being reported, as determined by ERROR_HANDLING. If the specified table does not have a primary key or if upsert mode is in effect (UPDATE_ON_EXISTING_PK is TRUE), 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
  The default value is FALSE.
• INGESTION_MODE: Whether to do a full load, dry run, or perform a type inference on the source data. Supported values:
  • FULL: Run a type inference on the source data (if needed) and ingest
  • DRY_RUN: Does not load data, but walks through the source data and determines the number of valid records, taking into account the current mode of ERROR_HANDLING.
  • TYPE_INFERENCE_ONLY: Infer the type of the source data and return, without ingesting any data. The inferred type is returned in the response.
  The default value is FULL.
• LAYER: Optional: geo files layer(s) name(s): comma separated. The default value is ''.
• LOADING_MODE: Scheme for distributing the extraction and loading of data from the source data file(s). This option applies only when loading files that are local to the database. Supported values:
  • HEAD: The head node loads all data. All files must be available to the head node.
  • DISTRIBUTED_SHARED: The head node coordinates loading data by worker processes across all nodes from shared files available to all workers. NOTE: Instead of existing on a shared source, the files can be duplicated on a source local to each host to improve performance, though the files must appear as the same data set from the perspective of all hosts performing the load.
  • DISTRIBUTED_LOCAL: A single worker process on each node loads all files that are available to it. This option works best when each worker loads files from its own file system, to maximize performance. In order to avoid data duplication, either each worker performing the load needs to have visibility to a set of files unique to it (no file is visible to more than one node) or the target table needs to have a primary key (which will allow the worker to automatically deduplicate data). NOTE: If the target table doesn't exist, the table structure will be determined by the head node. If the head node has no files local to it, it will be unable to determine the structure and the request will fail. If the head node is configured to have no worker processes, no data strictly accessible to the head node will be loaded.
  The default value is HEAD.
• LOCAL_TIME_OFFSET: For Avro local timestamp columns
• MAX_RECORDS_TO_LOAD: Limit the number of records to load in this request: If this number is larger than a batch_size, then the number of records loaded will be limited to the next whole number of batch_size (per working thread). The default value is ''.
• NUM_TASKS_PER_RANK: Optional: number of tasks for reading file per rank. Default will be external_file_reader_num_tasks
• POLL_INTERVAL: If TRUE, the number of seconds between attempts to load external files into the table. If zero, polling will be continuous as long as data is found. If no data is found, the interval will steadily increase to a maximum of 60 seconds.
• PRIMARY_KEYS: Optional: comma separated list of column names, to set as primary keys, when not specified in the type. The default value is ''.
• SCHEMA_REGISTRY_SCHEMA_ID
• SCHEMA_REGISTRY_SCHEMA_NAME
• SCHEMA_REGISTRY_SCHEMA_VERSION
• SHARD_KEYS: Optional: comma separated list of column names, to set as primary keys, when not specified in the type. The default value is ''.
• SKIP_LINES: Skip number of lines from begining of file.
• SUBSCRIBE: Continuously poll the data source to check for new data and load it into the table. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• TABLE_INSERT_MODE: Optional: table_insert_mode. When inserting records from multiple files: if table_per_file then insert from each file into a new table. Currently supported only for shapefiles. Supported values:
  • SINGLE
  • TABLE_PER_FILE
  The default value is SINGLE.
• TEXT_COMMENT_STRING: Specifies the character string that should be interpreted as a comment line prefix in the source data. All lines in the data starting with the provided string are ignored. For DELIMITED_TEXT FILE_TYPE only. The default value is '#'.
• TEXT_DELIMITER: Specifies the character delimiting field values in the source data and field names in the header (if present). For DELIMITED_TEXT FILE_TYPE only. The default value is ','.
• TEXT_ESCAPE_CHARACTER: Specifies the character that is used to escape other characters in the source data. An 'a', 'b', 'f', 'n', 'r', 't', or 'v' preceded by an escape character will be interpreted as the ASCII bell, backspace, form feed, line feed, carriage return, horizontal tab, & vertical tab, respectively. For example, the escape character followed by an 'n' will be interpreted as a newline within a field value. The escape character can also be used to escape the quoting character, and will be treated as an escape character whether it is within a quoted field value or not. For DELIMITED_TEXT FILE_TYPE only.
• TEXT_HAS_HEADER: Indicates whether the source data contains a header row. For DELIMITED_TEXT FILE_TYPE only. Supported values:
  • TRUE
  • FALSE
  The default value is TRUE.
• TEXT_HEADER_PROPERTY_DELIMITER: Specifies the delimiter for column properties in the header row (if present). Cannot be set to same value as TEXT_DELIMITER. For DELIMITED_TEXT FILE_TYPE only. The default value is '|'.
• TEXT_NULL_STRING: Specifies the character string that should be interpreted as a null value in the source data. For DELIMITED_TEXT FILE_TYPE only. The default value is '\N'.
• TEXT_QUOTE_CHARACTER: Specifies the character that should be interpreted as a field value quoting character in the source data. The character must appear at beginning and end of field value to take effect. Delimiters within quoted fields are treated as literals and not delimiters. Within a quoted field, two consecutive quote characters will be interpreted as a single literal quote character, effectively escaping it. To not have a quote character, specify an empty string. For DELIMITED_TEXT FILE_TYPE only. The default value is '"'.
• TEXT_SEARCH_COLUMNS: Add 'text_search' property to internally inferenced string columns. Comma seperated list of column names or '*' for all columns. To add text_search property only to string columns of minimum size, set also the option 'text_search_min_column_length'
• TEXT_SEARCH_MIN_COLUMN_LENGTH: Set minimum column size. Used only when 'text_search_columns' has a value.
• TRUNCATE_STRINGS: If set to TRUE, truncate string values that are longer than the column's type size. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• TRUNCATE_TABLE: If set to TRUE, truncates the table specified by tableName prior to loading the file(s). Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• TYPE_INFERENCE_MODE: optimize type inference for: Supported values:
  • ACCURACY: Scans data to get exactly-typed & sized columns for all data scanned.
  • SPEED: Scans data and picks the widest possible column types so that 'all' values will fit with minimum data scanned
  The default value is ACCURACY.
• 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 (the new data will be "upserted"). If set to FALSE, 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 by IGNORE_EXISTING_PK & ERROR_HANDLING. 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
  The default value is FALSE.

The default value is an empty Map.

Returns:

The current value of options.

setOptions

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

Optional parameters.

• AVRO_HEADER_BYTES: Optional number of bytes to skip when reading an avro record.
• AVRO_NUM_RECORDS: Optional number of avro records, if data includes only records.
• AVRO_SCHEMA: Optional string representing avro schema, for insert records in avro format, that does not include is schema.
• AVRO_SCHEMALESS: When user provides 'avro_schema', avro data is assumed to be schemaless, unless specified. Default is 'true' when given avro_schema. Igonred when avro_schema is not given. Supported values:
  • TRUE
  • FALSE
• BAD_RECORD_TABLE_NAME: Optional name of a table to which records that were rejected are written. The bad-record-table has the following columns: line_number (long), line_rejected (string), error_message (string).
• BAD_RECORD_TABLE_LIMIT: A positive integer indicating the maximum number of records that can be written to the bad-record-table. Default value is 10000
• BAD_RECORD_TABLE_LIMIT_PER_INPUT: For subscriptions: A positive integer indicating the maximum number of records that can be written to the bad-record-table per file/payload. Default value will be 'bad_record_table_limit' and total size of the table per rank is limited to 'bad_record_table_limit'
• BATCH_SIZE: Internal tuning parameter--number of records per batch when inserting data.
• 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: Specifies a comma-delimited list of columns from the source data to load. If more than one file is being loaded, this list applies to all files. Column numbers can be specified discretely or as a range. For example, a value of '5,7,1..3' will insert values from the fifth column in the source data into the first column in the target table, from the seventh column in the source data into the second column in the target table, and from the first through third columns in the source data into the third through fifth columns in the target table. If the source data contains a header, column names matching the file header names may be provided instead of column numbers. If the target table doesn't exist, the table will be created with the columns in this order. If the target table does exist with columns in a different order than the source data, this list can be used to match the order of the target table. For example, a value of 'C, B, A' will create a three column table with column C, followed by column B, followed by column A; or will insert those fields in that order into a table created with columns in that order. If the target table exists, the column names must match the source data field names for a name-mapping to be successful. Mutually exclusive with COLUMNS_TO_SKIP.
• COLUMNS_TO_SKIP: Specifies a comma-delimited list of columns from the source data to skip. Mutually exclusive with COLUMNS_TO_LOAD.
• COMPRESSION_TYPE: Optional: payload compression type. Supported values:
  • NONE: Uncompressed
  • AUTO: Default. Auto detect compression type
  • GZIP: gzip file compression.
  • BZIP2: bzip2 file compression.
  The default value is AUTO.
• DEFAULT_COLUMN_FORMATS: Specifies the default format to be applied to source data loaded into columns with the corresponding column property. Currently supported column properties include date, time, & datetime. 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"
• 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. Primary key collisions are considered abortable errors in this mode.
  The default value is ABORT.
• FILE_TYPE: Specifies the type of the file(s) whose records will be inserted. Supported values:
  • AVRO: Avro file format
  • DELIMITED_TEXT: Delimited text file format; e.g., CSV, TSV, PSV, etc.
  • GDB: Esri/GDB file format
  • JSON: Json file format
  • PARQUET: Apache Parquet file format
  • SHAPEFILE: ShapeFile file format
  The default value is DELIMITED_TEXT.
• FLATTEN_COLUMNS: Specifies how to handle nested columns. Supported values:
  • TRUE: Break up nested columns to multiple columns
  • FALSE: Treat nested columns as json columns instead of flattening
  The default value is FALSE.
• GDAL_CONFIGURATION_OPTIONS: Comma separated list of gdal conf options, for the specific requets: key=value. The default value is ''.
• 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 when UPDATE_ON_EXISTING_PK is FALSE). If set to TRUE, 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. If FALSE, the rejection of any record for having primary key values matching an existing record will result in an error being reported, as determined by ERROR_HANDLING. If the specified table does not have a primary key or if upsert mode is in effect (UPDATE_ON_EXISTING_PK is TRUE), 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
  The default value is FALSE.
• INGESTION_MODE: Whether to do a full load, dry run, or perform a type inference on the source data. Supported values:
  • FULL: Run a type inference on the source data (if needed) and ingest
  • DRY_RUN: Does not load data, but walks through the source data and determines the number of valid records, taking into account the current mode of ERROR_HANDLING.
  • TYPE_INFERENCE_ONLY: Infer the type of the source data and return, without ingesting any data. The inferred type is returned in the response.
  The default value is FULL.
• LAYER: Optional: geo files layer(s) name(s): comma separated. The default value is ''.
• LOADING_MODE: Scheme for distributing the extraction and loading of data from the source data file(s). This option applies only when loading files that are local to the database. Supported values:
  • HEAD: The head node loads all data. All files must be available to the head node.
  • DISTRIBUTED_SHARED: The head node coordinates loading data by worker processes across all nodes from shared files available to all workers. NOTE: Instead of existing on a shared source, the files can be duplicated on a source local to each host to improve performance, though the files must appear as the same data set from the perspective of all hosts performing the load.
  • DISTRIBUTED_LOCAL: A single worker process on each node loads all files that are available to it. This option works best when each worker loads files from its own file system, to maximize performance. In order to avoid data duplication, either each worker performing the load needs to have visibility to a set of files unique to it (no file is visible to more than one node) or the target table needs to have a primary key (which will allow the worker to automatically deduplicate data). NOTE: If the target table doesn't exist, the table structure will be determined by the head node. If the head node has no files local to it, it will be unable to determine the structure and the request will fail. If the head node is configured to have no worker processes, no data strictly accessible to the head node will be loaded.
  The default value is HEAD.
• LOCAL_TIME_OFFSET: For Avro local timestamp columns
• MAX_RECORDS_TO_LOAD: Limit the number of records to load in this request: If this number is larger than a batch_size, then the number of records loaded will be limited to the next whole number of batch_size (per working thread). The default value is ''.
• NUM_TASKS_PER_RANK: Optional: number of tasks for reading file per rank. Default will be external_file_reader_num_tasks
• POLL_INTERVAL: If TRUE, the number of seconds between attempts to load external files into the table. If zero, polling will be continuous as long as data is found. If no data is found, the interval will steadily increase to a maximum of 60 seconds.
• PRIMARY_KEYS: Optional: comma separated list of column names, to set as primary keys, when not specified in the type. The default value is ''.
• SCHEMA_REGISTRY_SCHEMA_ID
• SCHEMA_REGISTRY_SCHEMA_NAME
• SCHEMA_REGISTRY_SCHEMA_VERSION
• SHARD_KEYS: Optional: comma separated list of column names, to set as primary keys, when not specified in the type. The default value is ''.
• SKIP_LINES: Skip number of lines from begining of file.
• SUBSCRIBE: Continuously poll the data source to check for new data and load it into the table. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• TABLE_INSERT_MODE: Optional: table_insert_mode. When inserting records from multiple files: if table_per_file then insert from each file into a new table. Currently supported only for shapefiles. Supported values:
  • SINGLE
  • TABLE_PER_FILE
  The default value is SINGLE.
• TEXT_COMMENT_STRING: Specifies the character string that should be interpreted as a comment line prefix in the source data. All lines in the data starting with the provided string are ignored. For DELIMITED_TEXT FILE_TYPE only. The default value is '#'.
• TEXT_DELIMITER: Specifies the character delimiting field values in the source data and field names in the header (if present). For DELIMITED_TEXT FILE_TYPE only. The default value is ','.
• TEXT_ESCAPE_CHARACTER: Specifies the character that is used to escape other characters in the source data. An 'a', 'b', 'f', 'n', 'r', 't', or 'v' preceded by an escape character will be interpreted as the ASCII bell, backspace, form feed, line feed, carriage return, horizontal tab, & vertical tab, respectively. For example, the escape character followed by an 'n' will be interpreted as a newline within a field value. The escape character can also be used to escape the quoting character, and will be treated as an escape character whether it is within a quoted field value or not. For DELIMITED_TEXT FILE_TYPE only.
• TEXT_HAS_HEADER: Indicates whether the source data contains a header row. For DELIMITED_TEXT FILE_TYPE only. Supported values:
  • TRUE
  • FALSE
  The default value is TRUE.
• TEXT_HEADER_PROPERTY_DELIMITER: Specifies the delimiter for column properties in the header row (if present). Cannot be set to same value as TEXT_DELIMITER. For DELIMITED_TEXT FILE_TYPE only. The default value is '|'.
• TEXT_NULL_STRING: Specifies the character string that should be interpreted as a null value in the source data. For DELIMITED_TEXT FILE_TYPE only. The default value is '\N'.
• TEXT_QUOTE_CHARACTER: Specifies the character that should be interpreted as a field value quoting character in the source data. The character must appear at beginning and end of field value to take effect. Delimiters within quoted fields are treated as literals and not delimiters. Within a quoted field, two consecutive quote characters will be interpreted as a single literal quote character, effectively escaping it. To not have a quote character, specify an empty string. For DELIMITED_TEXT FILE_TYPE only. The default value is '"'.
• TEXT_SEARCH_COLUMNS: Add 'text_search' property to internally inferenced string columns. Comma seperated list of column names or '*' for all columns. To add text_search property only to string columns of minimum size, set also the option 'text_search_min_column_length'
• TEXT_SEARCH_MIN_COLUMN_LENGTH: Set minimum column size. Used only when 'text_search_columns' has a value.
• TRUNCATE_STRINGS: If set to TRUE, truncate string values that are longer than the column's type size. Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• TRUNCATE_TABLE: If set to TRUE, truncates the table specified by tableName prior to loading the file(s). Supported values:
  • TRUE
  • FALSE
  The default value is FALSE.
• TYPE_INFERENCE_MODE: optimize type inference for: Supported values:
  • ACCURACY: Scans data to get exactly-typed & sized columns for all data scanned.
  • SPEED: Scans data and picks the widest possible column types so that 'all' values will fit with minimum data scanned
  The default value is ACCURACY.
• 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 (the new data will be "upserted"). If set to FALSE, 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 by IGNORE_EXISTING_PK & ERROR_HANDLING. 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
  The default value is FALSE.

The default value is an empty Map.

Parameters:

options - The new value for options.

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