File: //snap/google-cloud-cli/396/lib/surface/dataproc/batches/submit/spark_sql.py
# -*- coding: utf-8 -*- #
# Copyright 2021 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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"""Submit a SparkSql batch job."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from googlecloudsdk.api_lib.dataproc import dataproc as dp
from googlecloudsdk.calliope import base
from googlecloudsdk.command_lib.dataproc.batches import batch_submitter
from googlecloudsdk.command_lib.dataproc.batches import sparksql_batch_factory
@base.ReleaseTracks(base.ReleaseTrack.BETA, base.ReleaseTrack.GA)
class SparkSql(base.Command):
"""Submit a Spark SQL batch job."""
detailed_help = {
'EXAMPLES':
"""\
To submit a Spark SQL job running "my-sql-script.sql" and upload it to "gs://my-bucket", run:
$ {command} my-sql-script.sql --deps-bucket=gs://my-bucket --region=us-central1 --vars="NAME=VALUE,NAME2=VALUE2"
"""
}
@staticmethod
def Args(parser):
sparksql_batch_factory.AddArguments(parser)
def Run(self, args):
dataproc = dp.Dataproc(base.ReleaseTrack.GA)
sparksql_batch = sparksql_batch_factory.SparkSqlBatchFactory(
dataproc).UploadLocalFilesAndGetMessage(args)
return batch_submitter.Submit(sparksql_batch, dataproc, args)