Python MRJob.all_option_groups方法代码示例

# 需要导入模块: from mrjob.job import MRJob [as 别名]
# 或者: from mrjob.job.MRJob import all_option_groups [as 别名]
def main():
    usage = 'usage: %prog JOB_FLOW_ID OUTPUT_DIR [options] "command string"'
    description = ('Run a command on the master and all slaves of an EMR job'
                   ' flow. Store stdout and stderr for results in OUTPUT_DIR.')

    option_parser = OptionParser(usage=usage, description=description)

    assignments = {
        option_parser: ('conf_path', 'quiet', 'verbose',
                        'ec2_key_pair_file')
    }

    option_parser.add_option('-o', '--output-dir', dest='output_dir',
                             default=None,
                             help="Specify an output directory (default:"
                             " JOB_FLOW_ID)")

    mr_job = MRJob()
    scrape_options_into_new_groups(mr_job.all_option_groups(), assignments)

    options, args = option_parser.parse_args()

    if not options.quiet:
        log_to_stream(name='mrjob', debug=options.verbose)

    runner_kwargs = options.__dict__.copy()
    for unused_arg in ('output_dir', 'quiet', 'verbose'):
        del runner_kwargs[unused_arg]

    if len(args) < 2:
        option_parser.print_help()
        sys.exit(1)

    job_flow_id, cmd_string = args[:2]
    cmd_args = shlex.split(cmd_string)

    output_dir = os.path.abspath(options.output_dir or job_flow_id)

    with EMRJobRunner(emr_job_flow_id=job_flow_id, **runner_kwargs) as runner:
        runner._enable_slave_ssh_access()
        run_on_all_nodes(runner, output_dir, cmd_args)

# 需要导入模块: from mrjob.job import MRJob [as 别名]
# 或者: from mrjob.job.MRJob import all_option_groups [as 别名]
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',
            '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_slave_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

# 需要导入模块: from mrjob.job import MRJob [as 别名]
# 或者: from mrjob.job.MRJob import all_option_groups [as 别名]
def main():
    usage = '%prog [options]'
    description = (
        'Inspect available job flow pools or identify job flows suitable for'
        ' running a job with the specified options.')
    option_parser = OptionParser(usage=usage, description=description)

    import boto.emr.connection
    boto.emr.connection.JobFlow.Fields.add('HadoopVersion')

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

    ec2_opt_group = make_option_group('EC2 instance configuration')
    hadoop_opt_group = make_option_group('Hadoop configuration')
    job_opt_group = make_option_group('Job flow configuration')

    assignments = {
        option_parser: (
            'conf_path',
            'emr_job_flow_pool_name',
            'quiet',
            'verbose',
        ),
        ec2_opt_group: (
            'aws_availability_zone',
            'ec2_instance_type',
            'ec2_key_pair',
            'ec2_key_pair_file',
            'ec2_master_instance_type',
            'ec2_slave_instance_type',
            'emr_endpoint',
            'num_ec2_instances',
        ),
        hadoop_opt_group: (
            'hadoop_version',
            'label',
            'owner',
        ),
        job_opt_group: (
            'bootstrap_actions',
            'bootstrap_cmds',
            'bootstrap_files',
            'bootstrap_mrjob',
            'bootstrap_python_packages',
        ),
    }

    option_parser.add_option('-a', '--all', action='store_true',
                             default=False, dest='list_all',
                             help=('List all available job flows without'
                                   ' filtering by configuration'))
    option_parser.add_option('-f', '--find', action='store_true',
                             default=False, dest='find',
                             help=('Find a job flow matching the pool name,'
                                   ' bootstrap configuration, and instance'
                                   ' number/type as specified on the command'
                                   ' line and in the configuration files'))
    option_parser.add_option('-t', '--terminate', action='store',
                             default=None, dest='terminate',
                             metavar='JOB_FLOW_ID',
                             help=('Terminate all job flows in the given pool'
                                   ' (defaults to pool "default")'))

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

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

    runner_kwargs = options.__dict__.copy()
    for non_runner_kwarg in ('quiet', 'verbose', 'list_all', 'find',
                             'terminate'):
        del runner_kwargs[non_runner_kwarg]

    runner = EMRJobRunner(**runner_kwargs)

    if options.list_all:
        pprint_pools(runner)

    if options.find:
        sorted_job_flows = runner.usable_job_flows()

        if sorted_job_flows:
            jf = sorted_job_flows[-1]
            print 'You should use this one:'
            pprint_job_flow(jf)
        else:
            print 'No idle job flows match criteria'

    if options.terminate:
        terminate(runner, options.terminate)

# 需要导入模块: from mrjob.job import MRJob [as 别名]
# 或者: from mrjob.job.MRJob import all_option_groups [as 别名]
def make_option_parser():
    usage = '%prog [options]'
    description = (
        'Inspect available job flow pools or identify job flows suitable for'
        ' running a job with the specified options.')
    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

    ec2_opt_group = make_option_group('EC2 instance configuration')
    hadoop_opt_group = make_option_group('Hadoop configuration')
    job_opt_group = make_option_group('Job flow configuration')

    assignments = {
        option_parser: (
            'conf_paths',
            'emr_job_flow_pool_name',
            'quiet',
            'verbose',
        ),
        ec2_opt_group: (
            'aws_availability_zone',
            'ec2_instance_type',
            'ec2_key_pair',
            'ec2_key_pair_file',
            'ec2_master_instance_type',
            'ec2_core_instance_type',
            'emr_endpoint',
            'num_ec2_instances',
        ),
        hadoop_opt_group: (
            'hadoop_version',
            'label',
            'owner',
        ),
        job_opt_group: (
            'bootstrap_actions',
            'bootstrap_cmds',
            'bootstrap_files',
            'bootstrap_mrjob',
            'bootstrap_python_packages',
        ),
    }

    option_parser.add_option('-a', '--all', action='store_true',
                             default=False, dest='list_all',
                             help=('List all available job flows without'
                                   ' filtering by configuration'))
    option_parser.add_option('-f', '--find', action='store_true',
                             default=False, dest='find',
                             help=('Find a job flow matching the pool name,'
                                   ' bootstrap configuration, and instance'
                                   ' number/type as specified on the command'
                                   ' line and in the configuration files'))
    option_parser.add_option('-t', '--terminate', action='store',
                             default=None, dest='terminate',
                             metavar='JOB_FLOW_ID',
                             help=('Terminate all job flows in the given pool'
                                   ' (defaults to pool "default")'))

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