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BigQuery Format Options
class google.cloud.bigquery.format_options.AvroOptions()
Options if source format is set to AVRO.
classmethod from_api_repr(resource: Dict[str, bool])
Factory: construct an instance from a resource dict.
Parameters
resource (Dict[str, *[bool](https://python.readthedocs.io/en/latest/library/functions.html#bool)]*) – Definition of a
AvroOptions
instance in the same representation as is returned from the API.Returns
Configuration parsed from
resource
.Return type
AvroOptions
to_api_repr()
Build an API representation of this object.
property use_avro_logical_types(: Optional[bool )
[Optional] If sourceFormat is set to ‘AVRO’, indicates whether to interpret logical types as the corresponding BigQuery data type (for example, TIMESTAMP), instead of using the raw type (for example, INTEGER).
class google.cloud.bigquery.format_options.ParquetOptions()
Additional options if the PARQUET source format is used.
property enable_list_inference(: boo )
Indicates whether to use schema inference specifically for Parquet LIST logical type.
property enum_as_string(: boo )
Indicates whether to infer Parquet ENUM logical type as STRING instead of BYTES by default.
See https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#ParquetOptions.FIELDS.enum_as_string
classmethod from_api_repr(resource: Dict[str, bool])
Factory: construct an instance from a resource dict.
Parameters
resource (Dict[str, *[bool](https://python.readthedocs.io/en/latest/library/functions.html#bool)]*) – Definition of a
ParquetOptions
instance in the same representation as is returned from the API.Returns
Configuration parsed from
resource
.Return type
ParquetOptions
to_api_repr()
Build an API representation of this object.