PyCon JP 2014 Python + Hive on AWS EMRで貧者のログ集計

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# -‐*-‐ coding: utf-‐8 -‐*-‐ from datetime import datetime from boto.emr import connect_to_region from boto.emr.step import InstallHiveStep def setup_emr(): # need to export AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY # as environment variables. conn = connect_to_region('ap-‐northeast-‐1') install_step = InstallHiveStep(hive_versions='0.11.0.2') jobid = conn.run_jobflow( name='Create EMR [{}]'.format(datetime.today().strftime('%Y%m%d')), log_uri='s3://yourbucket/jobflow_logs/', ec2_keyname='your_key', master_instance_type='m1.medium', slave_instance_type='m1.medium', num_instances=3, action_on_failure='TERMINATE_JOB_FLOW', keep_alive=True, enable_debugging=False, hadoop_version='2.4.0', steps=[install_step], bootstrap_actions=[], instance_groups=None, additional_info=None, ami_version='3.1.1', api_params=None, visible_to_all_users=True, job_flow_role=None) return jobid if __name__ == '__main__': jobflow_id = setup_emr() print "JobFlowID: {} started.".format(jobflow_id)

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jobid = conn.run_jobflow( name='Create EMR and Exec hiveql [{}]'.format(target_date), log_uri='s3://{}/jobflow_logs/'.format(bucket_name), ec2_keyname='your_key', master_instance_type='m1.medium', slave_instance_type='m1.medium', num_instances=3, action_on_failure='TERMINATE_JOB_FLOW', keep_alive=True, enable_debugging=False, hadoop_version='2.4.0', steps=[install_step], bootstrap_actions=[], instance_groups=None, additional_info=None, ami_version='3.1.1', api_params=None, visible_to_all_users=True, job_flow_role=None) query_files = ['sample01.hql', 'sample02.hql'] hql_steps = [] for query_file in query_files: hql_step = HiveStep( name='Executing Query [{}]'.format(query_file), hive_file='s3n://{0}/hive-‐script/{1}'.format( bucket_name, query_file), hive_versions=hive_version, hive_args=['-‐dTARGET_DATE={0}'.format(target_date), '-‐dBUCKET_NAME={0}'.format(bucket_name)]) hql_steps.append(hql_step) conn.add_jobflow_steps(jobid, hql_steps) ꞿֻז׏ג׃ת׏׋ךדꨜ㔲孡׌ֽ

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