in python/dataproc_templates/gcs/gcs_to_bigtable.py [0:0]
def parse_args(args: Optional[Sequence[str]] = None) -> Dict[str, Any]:
parser: argparse.ArgumentParser = argparse.ArgumentParser()
parser.add_argument(
f'--{constants.GCS_BT_INPUT_LOCATION}',
dest=constants.GCS_BT_INPUT_LOCATION,
required=True,
help='Cloud Storage location of the input files'
)
parser.add_argument(
f'--{constants.GCS_BT_INPUT_FORMAT}',
dest=constants.GCS_BT_INPUT_FORMAT,
required=True,
help='Input file format (one of: avro,parquet,csv,json,delta)',
choices=[
constants.FORMAT_AVRO,
constants.FORMAT_PRQT,
constants.FORMAT_CSV,
constants.FORMAT_JSON,
constants.FORMAT_DELTA
]
)
parser.add_argument(
f'--{constants.GCS_BT_PROJECT_ID}',
dest=constants.GCS_BT_PROJECT_ID,
required=True,
help='BigTable project ID'
)
parser.add_argument(
f'--{constants.GCS_BT_INSTANCE_ID}',
dest=constants.GCS_BT_INSTANCE_ID,
required=True,
help='BigTable instance ID'
)
parser.add_argument(
f'--{constants.GCS_BT_CREATE_NEW_TABLE}',
dest=constants.GCS_BT_CREATE_NEW_TABLE,
required=False,
help='BigTable create new table flag. Default is false.',
default=False
)
parser.add_argument(
f'--{constants.GCS_BT_BATCH_MUTATE_SIZE}',
dest=constants.GCS_BT_BATCH_MUTATE_SIZE,
required=False,
help='BigTable batch mutate size. Maximum allowed size is 100000. Default is 100.',
default=100
)
add_spark_options(parser, constants.get_csv_input_spark_options("gcs.bigtable.input."))
parser.add_argument(
f'--{constants.GCS_BT_CATALOG_JSON}',
dest=constants.GCS_BT_CATALOG_JSON,
required=True,
help='BigTable catalog json stored file GCS location'
)
known_args: argparse.Namespace
known_args, _ = parser.parse_known_args(args)
return vars(known_args)