emr.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-
import boto3


SCRIPT_RUNNER_JAR = 's3://us-east-1.elasticmapreduce/libs/script-runner/script-runner.jar'
BASE_ARGS_HIVE_STEP = [
    '/usr/share/aws/emr/scripts/hive-script',
    '--run-hive-script',
    '--args',
    '-f',
]


def create_cluster(region_name,
                   name,
                   log_uri,
                   release_label,
                   instance_type_master,
                   instance_count_master,
                   instance_type_slave,
                   instance_count_slave,
                   key_name,
                   subnet_id,
                   service_access_security_group,
                   master_security_group,
                   master_additional_security_group,
                   slave_security_group,
                   slave_additional_security_group,
                   hive_metastore_url,
                   hive_metastore_user,
                   hive_metastore_password,
                   bucket_name,
                   target_date):
    client = boto3.client('emr', region_name=region_name)
    response = client.run_job_flow(
            Name=name,
            LogUri=log_uri,
            ReleaseLabel=release_label,
            Instances={
                'InstanceGroups': [
                    {
                        'Name': 'emr-master',
                        'InstanceRole': 'MASTER',
                        'InstanceType': instance_type_master,
                        'InstanceCount': instance_count_master,
                    },
                    {
                        'Name': 'emr-core',
                        'InstanceRole': 'CORE',
                        'InstanceType': instance_type_slave,
                        'InstanceCount': instance_count_slave,
                    },
                ],
                'Ec2KeyName': key_name,
                'KeepJobFlowAliveWhenNoSteps': False,
                'TerminationProtected': False,
                'Ec2SubnetId': subnet_id,
                'ServiceAccessSecurityGroup': service_access_security_group,
                'EmrManagedMasterSecurityGroup': master_security_group,
                'AdditionalMasterSecurityGroups': master_additional_security_group,
                'EmrManagedSlaveSecurityGroup': slave_security_group,
                'AdditionalSlaveSecurityGroups': slave_additional_security_group,
            },
            Steps=[],
            Applications=[
                {
                    'Name': 'Hadoop'
                },
                {
                    'Name': 'Hive'
                },
            ],
            Configurations=[
                {
                    'Classification': 'hive-site',
                    'Properties': {
                        'javax.jdo.option.ConnectionURL': hive_metastore_url,
                        'javax.jdo.option.ConnectionUserName': hive_metastore_user,
                        'javax.jdo.option.ConnectionPassword': hive_metastore_password
                    }
                },
            ],
            VisibleToAllUsers=True,
            JobFlowRole='EMR_EC2_DefaultRole',
            ServiceRole='EMR_DefaultRole',
    )
    client.add_job_flow_steps(
            JobFlowId=response['JobFlowId'],
            Steps=get_dist_cp_step(bucket_name, target_date),
    )
    client.add_job_flow_steps(
            JobFlowId=response['JobFlowId'],
            Steps=get_hive_script_step(bucket_name, target_date),
    )
    return response['JobFlowId']


def get_dist_cp_step(bucket_name, target_date):
    return [{
        'Name': 'S3DistCp step',
        'ActionOnFailure': 'CANCEL_AND_WAIT',#'TERMINATE_JOB_FLOW'|'TERMINATE_CLUSTER'|'CANCEL_AND_WAIT'|'CONTINUE',
        'HadoopJarStep': {
            'Jar': '/usr/share/aws/emr/s3-dist-cp/lib/s3-dist-cp.jar',
            'Args': [
                '--src',
                's3://{0}/path/to/raw/log/{1}/'.format(
                    bucket_name, target_date.strftime('%Y/%m/%d')),
                '--dest',
                's3://{0}/path/to/merge/log/{1}/'.format(
                    bucket_name, target_date.strftime('year=%Y/month=%m/day=%d')),
                '--groupBy',
                "(.)*",
                '--targetSize',
                '2048',
            ]
        }
    }]


def get_hive_script_step(bucket_name, target_date):
    return [{
        'Name': 'Hive script step',
        'ActionOnFailure': 'CANCEL_AND_WAIT',#'TERMINATE_JOB_FLOW'|'TERMINATE_CLUSTER'|'CANCEL_AND_WAIT'|'CONTINUE',
        'HadoopJarStep': {
            'Jar': SCRIPT_RUNNER_JAR,
            'Args': BASE_ARGS_HIVE_STEP + [
                's3://{0}/path/to/hive-script/script.hql'.format(bucket_name),
                '-d',
                'YEAR={0}'.format(target_date.year),
                '-d',
                'MONTH={0:02d}'.format(target_date.month),
                '-d',
                'DAY={0:02d}'.format(target_date.day),
            ]
        }
    }]


def check_cluster_status(region_name, jobflow_id, created_after):
    client = boto3.client('emr', region_name=region_name)
    response = client.list_clusters(
            CreatedAfter=created_after,
    )
    for cluster in response['Clusters']:
        if cluster['Id'] == jobflow_id:
            if(cluster['Status']['StateChangeReason'].has_key('Message')):
                return (cluster['Status']['State'], cluster['Status']['StateChangeReason']['Message'])
            else:
                return (cluster['Status']['State'], None)
    return None


if __name__ == '__main__':
    import setting

    import sys
    import time
    from datetime import datetime, date, timedelta

    create_date = datetime.now() - timedelta(days=1)
    jobflow_id = create_cluster(setting.REGION_NAME,
                                setting.CLUSTER_NAME,
                                setting.LOG_URI,
                                setting.RELEASE_LABEL,
                                setting.INSTANCE_TYPE_MASTER,
                                setting.INSTANCE_COUNT_MASTER,
                                setting.INSTANCE_TYPE_SLAVE,
                                setting.INSTANCE_COUNT_SLAVE,
                                setting.KEY_NAME,
                                setting.SUBNET_ID,
                                setting.SECURITY_GROUP_SERVICE_ACCESS,
                                setting.SECURITY_GROUP_MASTER,
                                setting.SECURITY_GROUP_MASTER_ADDITIONAL,
                                setting.SECURITY_GROUP_SLAVE,
                                setting.SECURITY_GROUP_SLAVE_ADDITIONAL,
                                setting.HIVE_METASTORE_URL,
                                setting.HIVE_METASTORE_USER,
                                setting.HIVE_METASTORE_PASSWORD,
                                setting.BUCKET_NAME,
                                date(2016, 2, 11))

    while True:
        status = check_cluster_status(setting.REGION_NAME,
                                      jobflow_id,
                                      create_date)
        if status and status[0] == 'TERMINATED':
            if status[1] == 'Steps completed':
                print('complete')
                break
            else:
                print('error')
                sys.exit(1)
        else:
            time.sleep(60)

setting.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-
REGION_NAME = 'ap-northeast-1'

CLUSTER_NAME = 'Cluster Name'
LOG_URI = 's3://path/to/emr/log/'

KEY_NAME = 'YOUR_KEY_NAME'
RELEASE_LABEL = 'emr-4.2.0'
INSTANCE_TYPE_MASTER = 'm1.medium'
INSTANCE_COUNT_MASTER = 1
INSTANCE_TYPE_SLAVE = 'm1.medium'
INSTANCE_COUNT_SLAVE = 1

SUBNET_ID = 'YOUR_SUBNET_ID'
SECURITY_GROUP_SERVICE_ACCESS = 'YOUR_SECURITY_GROUP'
SECURITY_GROUP_MASTER = 'YOUR_SECURITY_GROUP'
SECURITY_GROUP_MASTER_ADDITIONAL = ['YOUR_SECURITY_GROUP']
SECURITY_GROUP_SLAVE = 'YOUR_SECURITY_GROUP'
SECURITY_GROUP_SLAVE_ADDITIONAL = ['YOUR_SECURITY_GROUP']

HIVE_METASTORE_URL = 'jdbc:mysql://YOUR_RDS_URL/hive?createDatabaseIfNotExist=true'
HIVE_METASTORE_USER = 'YOUR_RDS_USER'
HIVE_METASTORE_PASSWORD = 'YOUR_RDS_PASSWORD'

BUCKET_NAME = 'YOUR_BUCKET_NAME'

can you please clarify on the "import setting" statement? did you just import that package? How is setting able to return your aws account info ?