This file is indexed.

/usr/share/pyshared/mrjob/tools/emr/create_job_flow.py is in python-mrjob 0.3.3.2-1.

This file is owned by root:root, with mode 0o644.

The actual contents of the file can be viewed below.

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
# Copyright 2009-2012 Yelp and Contributors
#
# 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
# limitations under the License.
"""Create a persistent EMR job flow, using bootstrap scripts and other
configs from :py:mod:`mrjob.conf`, and print the job flow ID to stdout.

Usage::

    python -m mrjob.tools.emr.create_job_flow

**WARNING**: do not run this without having
:py:mod:`mrjob.tools.emr.terminate_idle_job_flows` in your crontab; job flows
left idle can quickly become expensive!
"""
from __future__ import with_statement

from optparse import OptionParser
from optparse import OptionGroup

from mrjob.emr import EMRJobRunner
from mrjob.job import MRJob
from mrjob.util import scrape_options_into_new_groups


def main():
    """Run the create_job_flow tool with arguments from ``sys.argv`` and
    printing to ``sys.stdout``."""
    runner = EMRJobRunner(**runner_kwargs())
    emr_job_flow_id = runner.make_persistent_job_flow()
    print emr_job_flow_id


def runner_kwargs():
    """Parse command line arguments into arguments for
    :py:class:`EMRJobRunner`
    """
    # parser command-line args
    option_parser = make_option_parser()
    options, args = option_parser.parse_args()

    if args:
        option_parser.error('takes no arguments')

    MRJob.set_up_logging(quiet=options.quiet, verbose=options.verbose)

    # create the persistent job
    kwargs = options.__dict__.copy()
    del kwargs['quiet']
    del kwargs['verbose']
    return kwargs


def make_option_parser():
    usage = '%prog [options]'
    description = (
        'Create a persistent EMR job flow to run jobs in. WARNING: do not run'
        ' this without mrjob.tools.emr.terminate_idle_job_flows in your'
        ' crontab; job flows left idle can quickly become expensive!')
    option_parser = OptionParser(usage=usage, description=description)

    def make_option_group(halp):
        g = OptionGroup(option_parser, halp)
        option_parser.add_option_group(g)
        return g

    runner_group = make_option_group('Running the entire job')
    hadoop_emr_opt_group = make_option_group(
        'Running on Hadoop or EMR (these apply when you set -r hadoop or -r'
        ' emr)')
    emr_opt_group = make_option_group(
        'Running on Amazon Elastic MapReduce (these apply when you set -r'
        ' emr)')

    assignments = {
        runner_group: (
            'bootstrap_mrjob',
            'conf_path',
            'quiet',
            'verbose'
        ),
        hadoop_emr_opt_group: (
            'label',
            'owner',
        ),
        emr_opt_group: (
            'additional_emr_info',
            'ami_version',
            'aws_availability_zone',
            'aws_region',
            'bootstrap_actions',
            'bootstrap_cmds',
            'bootstrap_files',
            'bootstrap_python_packages',
            'ec2_core_instance_bid_price',
            'ec2_core_instance_type',
            'ec2_instance_type',
            'ec2_key_pair',
            'ec2_master_instance_bid_price',
            'ec2_master_instance_type',
            'ec2_task_instance_bid_price',
            'ec2_task_instance_type',
            'emr_endpoint',
            'emr_job_flow_pool_name',
            'enable_emr_debugging',
            'hadoop_version',
            'num_ec2_core_instances',
            'num_ec2_instances',
            'num_ec2_task_instances',
            'pool_emr_job_flows',
            's3_endpoint',
            's3_log_uri',
            's3_scratch_uri',
            's3_sync_wait_time',
        ),
    }

    # Scrape options from MRJob and index them by dest
    mr_job = MRJob()
    job_option_groups = mr_job.all_option_groups()
    scrape_options_into_new_groups(job_option_groups, assignments)
    return option_parser


if __name__ == '__main__':
    main()