115 lines
4.0 KiB
Python
115 lines
4.0 KiB
Python
# -*- coding: utf-8 -*- #
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# Copyright 2015 Google LLC. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Base class for Spark Job."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import unicode_literals
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import argparse
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from apitools.base.py import encoding
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from googlecloudsdk.calliope import arg_parsers
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from googlecloudsdk.command_lib.dataproc.jobs import base as job_base
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from googlecloudsdk.command_lib.dataproc.jobs import util as job_util
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class SparkBase(job_base.JobBase):
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"""Submit a Java or Scala Spark job to a cluster."""
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@staticmethod
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def Args(parser):
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"""Parses command-line arguments specific to submitting Spark jobs."""
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parser.add_argument(
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'--jars',
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type=arg_parsers.ArgList(),
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metavar='JAR',
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default=[],
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help=('Comma separated list of jar files to be provided to the '
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'executor and driver classpaths.'))
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parser.add_argument(
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'--files',
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type=arg_parsers.ArgList(),
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metavar='FILE',
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default=[],
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help=('Comma separated list of files to be placed in the working '
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'directory of both the app driver and executors.'))
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parser.add_argument(
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'--archives',
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type=arg_parsers.ArgList(),
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metavar='ARCHIVE',
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default=[],
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help=(
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'Comma separated list of archives to be extracted into the working '
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'directory of each executor. '
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'Must be one of the following file formats: .zip, .tar, .tar.gz, '
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'or .tgz.'))
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parser.add_argument(
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'job_args',
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nargs=argparse.REMAINDER,
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help='Arguments to pass to the driver.')
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parser.add_argument(
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'--properties',
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type=arg_parsers.ArgDict(),
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metavar='PROPERTY=VALUE',
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help='List of key value pairs to configure Spark. For a list of '
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'available properties, see: '
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'https://spark.apache.org/docs/latest/'
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'configuration.html#available-properties.')
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parser.add_argument(
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'--properties-file',
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help=job_util.PROPERTIES_FILE_HELP_TEXT)
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parser.add_argument(
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'--driver-log-levels',
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type=arg_parsers.ArgDict(),
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metavar='PACKAGE=LEVEL',
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help=('List of package to log4j log level pairs to configure driver '
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'logging. For example: root=FATAL,com.example=INFO'))
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@staticmethod
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def GetFilesByType(args):
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"""Returns a dict of files by their type (jars, archives, etc.)."""
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return {
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'main_jar': args.main_jar,
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'jars': args.jars,
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'archives': args.archives,
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'files': args.files}
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@staticmethod
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def ConfigureJob(messages, job, files_by_type, logging_config, args):
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"""Populates the sparkJob member of the given job."""
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spark_job = messages.SparkJob(
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args=args.job_args or [],
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archiveUris=files_by_type['archives'],
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fileUris=files_by_type['files'],
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jarFileUris=files_by_type['jars'],
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mainClass=args.main_class,
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mainJarFileUri=files_by_type['main_jar'],
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loggingConfig=logging_config,
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)
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job_properties = job_util.BuildJobProperties(
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args.properties, args.properties_file
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)
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if job_properties:
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# Sort properties to ensure tests comparing messages not fail on ordering.
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spark_job.properties = encoding.DictToAdditionalPropertyMessage(
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job_properties, messages.SparkJob.PropertiesValue, sort_items=True
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)
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job.sparkJob = spark_job
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