File: //snap/google-cloud-cli/current/lib/googlecloudsdk/command_lib/dataproc/jobs/hadoop.py
# -*- coding: utf-8 -*- #
# Copyright 2015 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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"""Base class for Hadoop Job."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
import argparse
from apitools.base.py import encoding
from googlecloudsdk.calliope import arg_parsers
from googlecloudsdk.command_lib.dataproc.jobs import base as job_base
from googlecloudsdk.command_lib.dataproc.jobs import util as job_util
class HadoopBase(job_base.JobBase):
"""Common functionality between release tracks."""
@staticmethod
def Args(parser):
"""Parses command-line arguments specific to submitting Hadoop jobs."""
parser.add_argument(
'--jars',
type=arg_parsers.ArgList(),
metavar='JAR',
default=[],
help=('Comma separated list of jar files to be provided to the MR and '
'driver classpaths.'))
parser.add_argument(
'--files',
type=arg_parsers.ArgList(),
metavar='FILE',
default=[],
help='Comma separated list of file paths to be provided to the job. '
'A file path can either be a path to a local file or a path '
'to a file already in a Cloud Storage bucket.')
parser.add_argument(
'--archives',
type=arg_parsers.ArgList(),
metavar='ARCHIVE',
default=[],
help=('Comma separated list of archives to be provided to the job. '
'must be one of the following file formats: .zip, .tar, .tar.gz, '
'or .tgz.'))
parser.add_argument(
'job_args',
nargs=argparse.REMAINDER,
help='The arguments to pass to the driver.')
parser.add_argument(
'--properties',
type=arg_parsers.ArgDict(),
metavar='PROPERTY=VALUE',
help='A list of key value pairs to configure Hadoop.')
parser.add_argument(
'--properties-file',
help=job_util.PROPERTIES_FILE_HELP_TEXT)
parser.add_argument(
'--driver-log-levels',
type=arg_parsers.ArgDict(),
metavar='PACKAGE=LEVEL',
help=('A list of package to log4j log level pairs to configure driver '
'logging. For example: root=FATAL,com.example=INFO'))
@staticmethod
def GetFilesByType(args):
"""Returns a dict of files by their type (jars, archives, etc.)."""
return {
'main_jar': args.main_jar,
'jars': args.jars,
'archives': args.archives,
'files': args.files}
@staticmethod
def ConfigureJob(messages, job, files_by_type, logging_config, args):
"""Populates the hadoopJob member of the given job."""
hadoop_job = messages.HadoopJob(
args=args.job_args or [],
archiveUris=files_by_type['archives'],
fileUris=files_by_type['files'],
jarFileUris=files_by_type['jars'],
mainClass=args.main_class,
mainJarFileUri=files_by_type['main_jar'],
loggingConfig=logging_config)
job_properties = job_util.BuildJobProperties(
args.properties, args.properties_file)
if job_properties:
# Sort properties to ensure tests comparing messages not fail on ordering.
hadoop_job.properties = encoding.DictToAdditionalPropertyMessage(
job_properties, messages.HadoopJob.PropertiesValue, sort_items=True)
job.hadoopJob = hadoop_job