BigQuery Client - Class LoadJobConfiguration (1.31.1)

Reference documentation and code samples for the BigQuery Client class LoadJobConfiguration.

Represents a configuration for a load job. For more information on the available settings please see the Jobs configuration API documentation.

Example:

use Google\Cloud\BigQuery\BigQueryClient;

$bigQuery = new BigQueryClient();
$table = $bigQuery->dataset('my_dataset')
    ->table('my_table');
$loadJobConfig = $table->load(fopen('/path/to/my/data.csv', 'r'));

Sets whether to 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. Only applicable to CSV, ignored for other formats.

Example:

$loadJobConfig->allowJaggedRows(true);

Sets whether quoted data sections that contain newline characters in a CSV file are allowed.

Example:

$loadJobConfig->allowQuotedNewlines(true);

Sets whether we should automatically infer the options and schema for CSV and JSON sources.

Example:

$loadJobConfig->autodetect(true);

See also:

• Introduction to Clustered Tables

Set whether the job is allowed to create new tables. Creation, truncation and append actions occur as one atomic update upon job completion.

Example:

$loadJobConfig->createDisposition('CREATE_NEVER');

Sets the custom encryption configuration (e.g., Cloud KMS keys).

Example:

$loadJobConfig->destinationEncryptionConfiguration([
    'kmsKeyName' => 'my_key'
]);

The data to be loaded into the table.

Example:

$loadJobConfig->data(fopen('/path/to/my/data.csv', 'r'));

Sets the destination table to load the data into.

Example:

$table = $bigQuery->dataset('my_dataset')
    ->table('my_table');
$loadJobConfig->destinationTable($table);

Sets the character encoding of the data. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.

Example:

$loadJobConfig->encoding('UTF-8');

Sets 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.

Example:

$loadJobConfig->fieldDelimiter('\t');

Sets whether values that are not represented in the table schema should be allowed. 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 sourceFormat property determines what BigQuery treats as an extra value:

• CSV: Trailing columns.
• JSON: Named values that don't match any column names.

Example:

$loadJobConfig->ignoreUnknownValues(true);

Sets 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.

Example:

$loadJobConfig->maxBadRecords(10);

Sets 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.

Example:

$loadJobConfig->nullMarker('\N');

Sets a list of projection fields. 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.

Example:

$loadJobConfig->projectionFields([
    'field_name'
]);

Sets 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. 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.

Example:

$loadJobConfig->quote('"');

Sets 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.

Example:

$loadJobConfig->schema([
    'fields' => [
        [
            'name' => 'col1',
            'type' => 'STRING',
        ],
        [
            'name' => 'col2',
            'type' => 'BOOL',
        ]
    ]
]);

Sets options to allow the schema of the destination table to be updated as a side effect of the query job. 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.

Example:

$loadJobConfig->schemaUpdateOptions([
    'ALLOW_FIELD_ADDITION'
]);

Sets the number of rows at the top of a CSV file that BigQuery will skip when loading the data. This property is useful if you have header rows in the file that should be skipped.

Example:

$loadJobConfig->skipLeadingRows(10);

Sets the format of the data files.

Example:

$loadJobConfig->sourceFormat('NEWLINE_DELIMITED_JSON');

Sets 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.
• 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.

Example:

$loadJobConfig->sourceUris([
    'gs://my_bucket/source.csv'
]);

Sets time-based partitioning for the destination table.

Only one of timePartitioning and rangePartitioning should be specified.

Example:

$loadJobConfig->timePartitioning([
    'type' => 'DAY'
]);

Sets range partitioning specification for the destination table.

Only one of timePartitioning and rangePartitioning should be specified.

Example:

$loadJobConfig->rangePartitioning([
    'field' => 'myInt',
    'range' => [
        'start' => '0',
        'end' => '1000',
        'interval' => '100'
    ]
]);

Sets the action that occurs if the destination table already exists. 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.

Example:

$loadJobConfig->writeDisposition('WRITE_TRUNCATE');

Sets whether to use logical types when loading from AVRO format.

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).

Example:

$loadJobConfig->useAvroLogicalTypes(true);

See also:

• HivePartitoningOptions

Decide whether to create a new session with a random id.

The created session id is returned as part of the SessionInfo within the query statistics.

Example:

$loadJobConfig->createSession(true);

Sets connection properties for the load job.

Example:

$loadJobConfig->connectionProperties([
    'key' => 'session_id',
    'value' => 'sessionId'
]);

Sets the reference for external table schema.

It is enabled for AVRO, PARQUET and ORC format.

Example:

$loadJobConfig->referenceFileSchemaUri('gs://bucket/source.parquet');