JobConfigurationLoad (BigQuery API v2-rev20190308-1.27.0)

java.lang.Object
- java.util.AbstractMap<String,Object>
- - com.google.api.client.util.GenericData
  - - com.google.api.client.json.GenericJson
    - - com.google.api.services.bigquery.model.JobConfigurationLoad

All Implemented Interfaces:

Cloneable, Map<String,Object>
```
public final class JobConfigurationLoad
extends com.google.api.client.json.GenericJson
```
Model definition for JobConfigurationLoad.
This is the Java data model class that specifies how to parse/serialize into the JSON that is transmitted over HTTP when working with the BigQuery API. For a detailed explanation see: https://developers.google.com/api-client-library/java/google-http-java-client/json

Author:

Google, Inc.

Nested Class Summary
- Nested classes/interfaces inherited from class com.google.api.client.util.GenericData
  com.google.api.client.util.GenericData.Flags
- Nested classes/interfaces inherited from class java.util.AbstractMap
  AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>
- Nested classes/interfaces inherited from interface java.util.Map
  Map.Entry<K,V>

Constructor Summary

Constructors
Constructor and Description

JobConfigurationLoad()

Constructors
Constructor and Description
`JobConfigurationLoad()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`JobConfigurationLoad`	`clone()`
`Boolean`	`getAllowJaggedRows()` [Optional] Accept rows that are missing trailing optional columns.
`Boolean`	`getAllowQuotedNewlines()` Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file.
`Boolean`	`getAutodetect()` [Optional] Indicates if we should automatically infer the options and schema for CSV and JSON sources.
`Clustering`	`getClustering()` [Beta] Clustering specification for the destination table.
`String`	`getCreateDisposition()` [Optional] Specifies whether the job is allowed to create new tables.
`EncryptionConfiguration`	`getDestinationEncryptionConfiguration()` Custom encryption configuration (e.g., Cloud KMS keys).
`TableReference`	`getDestinationTable()` [Required] The destination table to load the data into.
`DestinationTableProperties`	`getDestinationTableProperties()` [Beta] [Optional] Properties with which to create the destination table if it is new.
`String`	`getEncoding()` [Optional] The character encoding of the data.
`String`	`getFieldDelimiter()` [Optional] The separator for fields in a CSV file.
`String`	`getHivePartitioningMode()` [Optional, Experimental] If hive partitioning is enabled, which mode to use.
`Boolean`	`getIgnoreUnknownValues()` [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema.
`Integer`	`getMaxBadRecords()` [Optional] The maximum number of bad records that BigQuery can ignore when running the job.
`String`	`getNullMarker()` [Optional] Specifies a string that represents a null value in a CSV file.
`List<String>`	`getProjectionFields()` If sourceFormat is set to "DATASTORE_BACKUP", indicates which entity properties to load into BigQuery from a Cloud Datastore backup.
`String`	`getQuote()` [Optional] The value that is used to quote data sections in a CSV file.
`RangePartitioning`	`getRangePartitioning()` [TrustedTester] Range partitioning specification for this table.
`TableSchema`	`getSchema()` [Optional] The schema for the destination table.
`String`	`getSchemaInline()` [Deprecated] The inline schema.
`String`	`getSchemaInlineFormat()` [Deprecated] The format of the schemaInline property.
`List<String>`	`getSchemaUpdateOptions()` Allows the schema of the destination table to be updated as a side effect of the load job if a schema is autodetected or supplied in the job configuration.
`Integer`	`getSkipLeadingRows()` [Optional] The number of rows at the top of a CSV file that BigQuery will skip when loading the data.
`String`	`getSourceFormat()` [Optional] The format of the data files.
`List<String>`	`getSourceUris()` [Required] The fully-qualified URIs that point to your data in Google Cloud.
`TimePartitioning`	`getTimePartitioning()` Time-based partitioning specification for the destination table.
`Boolean`	`getUseAvroLogicalTypes()` [Optional] If sourceFormat is set to "AVRO", indicates whether to enable interpreting logical types into their corresponding types (ie.
`String`	`getWriteDisposition()` [Optional] Specifies the action that occurs if the destination table already exists.
`JobConfigurationLoad`	`set(String fieldName, Object value)`
`JobConfigurationLoad`	`setAllowJaggedRows(Boolean allowJaggedRows)` [Optional] Accept rows that are missing trailing optional columns.
`JobConfigurationLoad`	`setAllowQuotedNewlines(Boolean allowQuotedNewlines)` Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file.
`JobConfigurationLoad`	`setAutodetect(Boolean autodetect)` [Optional] Indicates if we should automatically infer the options and schema for CSV and JSON sources.
`JobConfigurationLoad`	`setClustering(Clustering clustering)` [Beta] Clustering specification for the destination table.
`JobConfigurationLoad`	`setCreateDisposition(String createDisposition)` [Optional] Specifies whether the job is allowed to create new tables.
`JobConfigurationLoad`	`setDestinationEncryptionConfiguration(EncryptionConfiguration destinationEncryptionConfiguration)` Custom encryption configuration (e.g., Cloud KMS keys).
`JobConfigurationLoad`	`setDestinationTable(TableReference destinationTable)` [Required] The destination table to load the data into.
`JobConfigurationLoad`	`setDestinationTableProperties(DestinationTableProperties destinationTableProperties)` [Beta] [Optional] Properties with which to create the destination table if it is new.
`JobConfigurationLoad`	`setEncoding(String encoding)` [Optional] The character encoding of the data.
`JobConfigurationLoad`	`setFieldDelimiter(String fieldDelimiter)` [Optional] The separator for fields in a CSV file.
`JobConfigurationLoad`	`setHivePartitioningMode(String hivePartitioningMode)` [Optional, Experimental] If hive partitioning is enabled, which mode to use.
`JobConfigurationLoad`	`setIgnoreUnknownValues(Boolean ignoreUnknownValues)` [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema.
`JobConfigurationLoad`	`setMaxBadRecords(Integer maxBadRecords)` [Optional] The maximum number of bad records that BigQuery can ignore when running the job.
`JobConfigurationLoad`	`setNullMarker(String nullMarker)` [Optional] Specifies a string that represents a null value in a CSV file.
`JobConfigurationLoad`	`setProjectionFields(List<String> projectionFields)` If sourceFormat is set to "DATASTORE_BACKUP", indicates which entity properties to load into BigQuery from a Cloud Datastore backup.
`JobConfigurationLoad`	`setQuote(String quote)` [Optional] The value that is used to quote data sections in a CSV file.
`JobConfigurationLoad`	`setRangePartitioning(RangePartitioning rangePartitioning)` [TrustedTester] Range partitioning specification for this table.
`JobConfigurationLoad`	`setSchema(TableSchema schema)` [Optional] The schema for the destination table.
`JobConfigurationLoad`	`setSchemaInline(String schemaInline)` [Deprecated] The inline schema.
`JobConfigurationLoad`	`setSchemaInlineFormat(String schemaInlineFormat)` [Deprecated] The format of the schemaInline property.
`JobConfigurationLoad`	`setSchemaUpdateOptions(List<String> schemaUpdateOptions)` Allows the schema of the destination table to be updated as a side effect of the load job if a schema is autodetected or supplied in the job configuration.
`JobConfigurationLoad`	`setSkipLeadingRows(Integer skipLeadingRows)` [Optional] The number of rows at the top of a CSV file that BigQuery will skip when loading the data.
`JobConfigurationLoad`	`setSourceFormat(String sourceFormat)` [Optional] The format of the data files.
`JobConfigurationLoad`	`setSourceUris(List<String> sourceUris)` [Required] The fully-qualified URIs that point to your data in Google Cloud.
`JobConfigurationLoad`	`setTimePartitioning(TimePartitioning timePartitioning)` Time-based partitioning specification for the destination table.
`JobConfigurationLoad`	`setUseAvroLogicalTypes(Boolean useAvroLogicalTypes)` [Optional] If sourceFormat is set to "AVRO", indicates whether to enable interpreting logical types into their corresponding types (ie.
`JobConfigurationLoad`	`setWriteDisposition(String writeDisposition)` [Optional] Specifies the action that occurs if the destination table already exists.

Methods inherited from class com.google.api.client.json.GenericJson
getFactory, setFactory, toPrettyString, toString

Methods inherited from class com.google.api.client.util.GenericData
entrySet, get, getClassInfo, getUnknownKeys, put, putAll, remove, setUnknownKeys

Methods inherited from class java.util.AbstractMap
clear, containsKey, containsValue, equals, hashCode, isEmpty, keySet, size, values

Methods inherited from class java.lang.Object
finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.util.Map
compute, computeIfAbsent, computeIfPresent, forEach, getOrDefault, merge, putIfAbsent, remove, replace, replace, replaceAll

- Constructor Detail
  - JobConfigurationLoad
```
public JobConfigurationLoad()
```
- Method Detail
  - getAllowJaggedRows
```
public Boolean getAllowJaggedRows()
```
    [Optional] Accept rows that are missing trailing optional columns. The missing values are treated as nulls. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. Only applicable to CSV, ignored for other formats.
    
    Returns:
    
    value or null for none
  - setAllowJaggedRows
```
public JobConfigurationLoad setAllowJaggedRows(Boolean allowJaggedRows)
```
    [Optional] Accept rows that are missing trailing optional columns. The missing values are treated as nulls. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. Only applicable to CSV, ignored for other formats.
    
    Parameters:
    
    allowJaggedRows - allowJaggedRows or null for none
  - getAllowQuotedNewlines
```
public Boolean getAllowQuotedNewlines()
```
    Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
    
    Returns:
    
    value or null for none
  - setAllowQuotedNewlines
```
public JobConfigurationLoad setAllowQuotedNewlines(Boolean allowQuotedNewlines)
```
    Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
    
    Parameters:
    
    allowQuotedNewlines - allowQuotedNewlines or null for none
  - getAutodetect
```
public Boolean getAutodetect()
```
    [Optional] Indicates if we should automatically infer the options and schema for CSV and JSON sources.
    
    Returns:
    
    value or null for none
  - setAutodetect
```
public JobConfigurationLoad setAutodetect(Boolean autodetect)
```
    [Optional] Indicates if we should automatically infer the options and schema for CSV and JSON sources.
    
    Parameters:
    
    autodetect - autodetect or null for none
  - getClustering
```
public Clustering getClustering()
```
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    
    Returns:
    
    value or null for none
  - setClustering
```
public JobConfigurationLoad setClustering(Clustering clustering)
```
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    
    Parameters:
    
    clustering - clustering or null for none
  - getCreateDisposition
```
public String getCreateDisposition()
```
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    
    Returns:
    
    value or null for none
  - setCreateDisposition
```
public JobConfigurationLoad setCreateDisposition(String createDisposition)
```
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    
    Parameters:
    
    createDisposition - createDisposition or null for none
  - getDestinationEncryptionConfiguration
```
public EncryptionConfiguration getDestinationEncryptionConfiguration()
```
    Custom encryption configuration (e.g., Cloud KMS keys).
    
    Returns:
    
    value or null for none
  - setDestinationEncryptionConfiguration
```
public JobConfigurationLoad setDestinationEncryptionConfiguration(EncryptionConfiguration destinationEncryptionConfiguration)
```
    Custom encryption configuration (e.g., Cloud KMS keys).
    
    Parameters:
    
    destinationEncryptionConfiguration - destinationEncryptionConfiguration or null for none
  - getDestinationTable
```
public TableReference getDestinationTable()
```
    [Required] The destination table to load the data into.
    
    Returns:
    
    value or null for none
  - setDestinationTable
```
public JobConfigurationLoad setDestinationTable(TableReference destinationTable)
```
    [Required] The destination table to load the data into.
    
    Parameters:
    
    destinationTable - destinationTable or null for none
  - getDestinationTableProperties
```
public DestinationTableProperties getDestinationTableProperties()
```
    [Beta] [Optional] Properties with which to create the destination table if it is new.
    
    Returns:
    
    value or null for none
  - setDestinationTableProperties
```
public JobConfigurationLoad setDestinationTableProperties(DestinationTableProperties destinationTableProperties)
```
    [Beta] [Optional] Properties with which to create the destination table if it is new.
    
    Parameters:
    
    destinationTableProperties - destinationTableProperties or null for none
  - getEncoding
```
public String getEncoding()
```
    [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
    
    Returns:
    
    value or null for none
  - setEncoding
```
public JobConfigurationLoad setEncoding(String encoding)
```
    [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
    
    Parameters:
    
    encoding - encoding or null for none
  - getFieldDelimiter
```
public String getFieldDelimiter()
```
    [Optional] The separator for fields in a CSV file. The separator can be any ISO-8859-1 single- byte character. To use a character in the range 128-255, you must encode the character as UTF8. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
    
    Returns:
    
    value or null for none
  - setFieldDelimiter
```
public JobConfigurationLoad setFieldDelimiter(String fieldDelimiter)
```
    [Optional] The separator for fields in a CSV file. The separator can be any ISO-8859-1 single- byte character. To use a character in the range 128-255, you must encode the character as UTF8. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
    
    Parameters:
    
    fieldDelimiter - fieldDelimiter or null for none
  - getHivePartitioningMode
```
public String getHivePartitioningMode()
```
    [Optional, Experimental] If hive partitioning is enabled, which mode to use. Two modes are supported: - AUTO: automatically infer partition key name(s) and type(s). - STRINGS: automatic infer partition key name(s). All types are strings. Not all storage formats support hive partitioning -- requesting hive partitioning on an unsupported format will lead to an error.
    
    Returns:
    
    value or null for none
  - setHivePartitioningMode
```
public JobConfigurationLoad setHivePartitioningMode(String hivePartitioningMode)
```
    [Optional, Experimental] If hive partitioning is enabled, which mode to use. Two modes are supported: - AUTO: automatically infer partition key name(s) and type(s). - STRINGS: automatic infer partition key name(s). All types are strings. Not all storage formats support hive partitioning -- requesting hive partitioning on an unsupported format will lead to an error.
    
    Parameters:
    
    hivePartitioningMode - hivePartitioningMode or null for none
  - getIgnoreUnknownValues
```
public Boolean getIgnoreUnknownValues()
```
    [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names
    
    Returns:
    
    value or null for none
  - setIgnoreUnknownValues
```
public JobConfigurationLoad setIgnoreUnknownValues(Boolean ignoreUnknownValues)
```
    [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names
    
    Parameters:
    
    ignoreUnknownValues - ignoreUnknownValues or null for none
  - getMaxBadRecords
```
public Integer getMaxBadRecords()
```
    [Optional] The maximum number of bad records that BigQuery can ignore when running the job. If the number of bad records exceeds this value, an invalid error is returned in the job result. This is only valid for CSV and JSON. The default value is 0, which requires that all records are valid.
    
    Returns:
    
    value or null for none
  - setMaxBadRecords
```
public JobConfigurationLoad setMaxBadRecords(Integer maxBadRecords)
```
    [Optional] The maximum number of bad records that BigQuery can ignore when running the job. If the number of bad records exceeds this value, an invalid error is returned in the job result. This is only valid for CSV and JSON. The default value is 0, which requires that all records are valid.
    
    Parameters:
    
    maxBadRecords - maxBadRecords or null for none
  - getNullMarker
```
public String getNullMarker()
```
    [Optional] Specifies a string that represents a null value in a CSV file. For example, if you specify "\N", BigQuery interprets "\N" as a null value when loading a CSV file. The default value is the empty string. If you set this property to a custom value, BigQuery throws an error if an empty string is present for all data types except for STRING and BYTE. For STRING and BYTE columns, BigQuery interprets the empty string as an empty value.
    
    Returns:
    
    value or null for none
  - setNullMarker
```
public JobConfigurationLoad setNullMarker(String nullMarker)
```
    [Optional] Specifies a string that represents a null value in a CSV file. For example, if you specify "\N", BigQuery interprets "\N" as a null value when loading a CSV file. The default value is the empty string. If you set this property to a custom value, BigQuery throws an error if an empty string is present for all data types except for STRING and BYTE. For STRING and BYTE columns, BigQuery interprets the empty string as an empty value.
    
    Parameters:
    
    nullMarker - nullMarker or null for none
  - getProjectionFields
```
public List<String> getProjectionFields()
```
    If sourceFormat is set to "DATASTORE_BACKUP", indicates which entity properties to load into BigQuery from a Cloud Datastore backup. Property names are case sensitive and must be top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
    
    Returns:
    
    value or null for none
  - setProjectionFields
```
public JobConfigurationLoad setProjectionFields(List<String> projectionFields)
```
    If sourceFormat is set to "DATASTORE_BACKUP", indicates which entity properties to load into BigQuery from a Cloud Datastore backup. Property names are case sensitive and must be top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
    
    Parameters:
    
    projectionFields - projectionFields or null for none
  - getQuote
```
public String getQuote()
```
    [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
    
    Returns:
    
    value or null for none
  - setQuote
```
public JobConfigurationLoad setQuote(String quote)
```
    [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
    
    Parameters:
    
    quote - quote or null for none
  - getRangePartitioning
```
public RangePartitioning getRangePartitioning()
```
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    
    Returns:
    
    value or null for none
  - setRangePartitioning
```
public JobConfigurationLoad setRangePartitioning(RangePartitioning rangePartitioning)
```
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    
    Parameters:
    
    rangePartitioning - rangePartitioning or null for none
  - getSchema
```
public TableSchema getSchema()
```
    [Optional] The schema for the destination table. The schema can be omitted if the destination table already exists, or if you're loading data from Google Cloud Datastore.
    
    Returns:
    
    value or null for none
  - setSchema
```
public JobConfigurationLoad setSchema(TableSchema schema)
```
    [Optional] The schema for the destination table. The schema can be omitted if the destination table already exists, or if you're loading data from Google Cloud Datastore.
    
    Parameters:
    
    schema - schema or null for none
  - getSchemaInline
```
public String getSchemaInline()
```
    [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".
    
    Returns:
    
    value or null for none
  - setSchemaInline
```
public JobConfigurationLoad setSchemaInline(String schemaInline)
```
    [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".
    
    Parameters:
    
    schemaInline - schemaInline or null for none
  - getSchemaInlineFormat
```
public String getSchemaInlineFormat()
```
    [Deprecated] The format of the schemaInline property.
    
    Returns:
    
    value or null for none
  - setSchemaInlineFormat
```
public JobConfigurationLoad setSchemaInlineFormat(String schemaInlineFormat)
```
    [Deprecated] The format of the schemaInline property.
    
    Parameters:
    
    schemaInlineFormat - schemaInlineFormat or null for none
  - getSchemaUpdateOptions
```
public List<String> getSchemaUpdateOptions()
```
    Allows the schema of the destination table to be updated as a side effect of the load job if a schema is autodetected or supplied in the job configuration. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    
    Returns:
    
    value or null for none
  - setSchemaUpdateOptions
```
public JobConfigurationLoad setSchemaUpdateOptions(List<String> schemaUpdateOptions)
```
    Allows the schema of the destination table to be updated as a side effect of the load job if a schema is autodetected or supplied in the job configuration. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    
    Parameters:
    
    schemaUpdateOptions - schemaUpdateOptions or null for none
  - getSkipLeadingRows
```
public Integer getSkipLeadingRows()
```
    [Optional] The number of rows at the top of a CSV file that BigQuery will skip when loading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped.
    
    Returns:
    
    value or null for none
  - setSkipLeadingRows
```
public JobConfigurationLoad setSkipLeadingRows(Integer skipLeadingRows)
```
    [Optional] The number of rows at the top of a CSV file that BigQuery will skip when loading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped.
    
    Parameters:
    
    skipLeadingRows - skipLeadingRows or null for none
  - getSourceFormat
```
public String getSourceFormat()
```
    [Optional] The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". For parquet, specify "PARQUET". For orc, specify "ORC". The default value is CSV.
    
    Returns:
    
    value or null for none
  - setSourceFormat
```
public JobConfigurationLoad setSourceFormat(String sourceFormat)
```
    [Optional] The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". For parquet, specify "PARQUET". For orc, specify "ORC". The default value is CSV.
    
    Parameters:
    
    sourceFormat - sourceFormat or null for none
  - getSourceUris
```
public List<String> getSourceUris()
```
    [Required] The fully-qualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '*' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups: Exactly one URI can be specified. Also, the '*' wildcard character is not allowed.
    
    Returns:
    
    value or null for none
  - setSourceUris
```
public JobConfigurationLoad setSourceUris(List<String> sourceUris)
```
    [Required] The fully-qualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '*' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups: Exactly one URI can be specified. Also, the '*' wildcard character is not allowed.
    
    Parameters:
    
    sourceUris - sourceUris or null for none
  - getTimePartitioning
```
public TimePartitioning getTimePartitioning()
```
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    
    Returns:
    
    value or null for none
  - setTimePartitioning
```
public JobConfigurationLoad setTimePartitioning(TimePartitioning timePartitioning)
```
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    
    Parameters:
    
    timePartitioning - timePartitioning or null for none
  - getUseAvroLogicalTypes
```
public Boolean getUseAvroLogicalTypes()
```
    [Optional] If sourceFormat is set to "AVRO", indicates whether to enable interpreting logical types into their corresponding types (ie. TIMESTAMP), instead of only using their raw types (ie. INTEGER).
    
    Returns:
    
    value or null for none
  - setUseAvroLogicalTypes
```
public JobConfigurationLoad setUseAvroLogicalTypes(Boolean useAvroLogicalTypes)
```
    [Optional] If sourceFormat is set to "AVRO", indicates whether to enable interpreting logical types into their corresponding types (ie. TIMESTAMP), instead of only using their raw types (ie. INTEGER).
    
    Parameters:
    
    useAvroLogicalTypes - useAvroLogicalTypes or null for none
  - getWriteDisposition
```
public String getWriteDisposition()
```
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_APPEND. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    
    Returns:
    
    value or null for none
  - setWriteDisposition
```
public JobConfigurationLoad setWriteDisposition(String writeDisposition)
```
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_APPEND. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    
    Parameters:
    
    writeDisposition - writeDisposition or null for none
  - set
```
public JobConfigurationLoad set(String fieldName,
                                Object value)
```
    Overrides:
    
    set in class com.google.api.client.json.GenericJson
  - clone
```
public JobConfigurationLoad clone()
```
    Overrides:
    
    clone in class com.google.api.client.json.GenericJson

Class JobConfigurationLoad

Nested Class Summary

Nested classes/interfaces inherited from class com.google.api.client.util.GenericData

Nested classes/interfaces inherited from class java.util.AbstractMap

Nested classes/interfaces inherited from interface java.util.Map

Constructor Summary

Method Summary

Methods inherited from class com.google.api.client.json.GenericJson

Methods inherited from class com.google.api.client.util.GenericData

Methods inherited from class java.util.AbstractMap

Methods inherited from class java.lang.Object

Methods inherited from interface java.util.Map

Constructor Detail

JobConfigurationLoad

Method Detail

getAllowJaggedRows

setAllowJaggedRows

getAllowQuotedNewlines

setAllowQuotedNewlines

getAutodetect

setAutodetect

getClustering

setClustering

getCreateDisposition

setCreateDisposition

getDestinationEncryptionConfiguration

setDestinationEncryptionConfiguration

getDestinationTable

setDestinationTable

getDestinationTableProperties

setDestinationTableProperties

getEncoding

setEncoding

getFieldDelimiter

setFieldDelimiter

getHivePartitioningMode

setHivePartitioningMode

getIgnoreUnknownValues

setIgnoreUnknownValues

getMaxBadRecords

setMaxBadRecords

getNullMarker

setNullMarker

getProjectionFields

setProjectionFields

getQuote

setQuote

getRangePartitioning

setRangePartitioning

getSchema

setSchema

getSchemaInline

setSchemaInline

getSchemaInlineFormat

setSchemaInlineFormat

getSchemaUpdateOptions

setSchemaUpdateOptions

getSkipLeadingRows

setSkipLeadingRows

getSourceFormat

setSourceFormat

getSourceUris

setSourceUris

getTimePartitioning

setTimePartitioning

getUseAvroLogicalTypes

setUseAvroLogicalTypes

getWriteDisposition

setWriteDisposition

set

clone