4824ca3dc6
Sahara EDP should select SPARK_YARN_HISTORY_SERVER node as the master node for running Spark jobs. Also uploaded spark job to cdh_flow on CI. Closes-bug: 1490012 Change-Id: I09a745b8c84e6cca2fb2924e85d845aafc8e1134
113 lines
4.5 KiB
Python
113 lines
4.5 KiB
Python
# Copyright (c) 2015 Intel Corporation
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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# implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from sahara import exceptions as ex
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from sahara.plugins.cdh import confighints_helper as ch_helper
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from sahara.plugins.cdh.v5_4_0 import cloudera_utils as cu
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from sahara.plugins import exceptions as pl_ex
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from sahara.plugins import utils as u
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from sahara.service.edp import hdfs_helper
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from sahara.service.edp.oozie import engine as edp_engine
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from sahara.service.edp.spark import engine as edp_spark_engine
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from sahara.utils import edp
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CU = cu.ClouderaUtilsV540()
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class EdpOozieEngine(edp_engine.OozieJobEngine):
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def get_hdfs_user(self):
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return 'hdfs'
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def create_hdfs_dir(self, remote, dir_name):
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hdfs_helper.create_dir_hadoop2(remote, dir_name, self.get_hdfs_user())
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def get_oozie_server_uri(self, cluster):
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oozie_ip = CU.pu.get_oozie(cluster).management_ip
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return 'http://%s:11000/oozie' % oozie_ip
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def get_name_node_uri(self, cluster):
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if len(CU.pu.get_jns(cluster)) > 0:
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return 'hdfs://%s' % CU.NAME_SERVICE
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else:
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namenode_ip = CU.pu.get_namenode(cluster).fqdn()
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return 'hdfs://%s:8020' % namenode_ip
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def get_resource_manager_uri(self, cluster):
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resourcemanager_ip = CU.pu.get_resourcemanager(cluster).fqdn()
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return '%s:8032' % resourcemanager_ip
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def get_oozie_server(self, cluster):
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return CU.pu.get_oozie(cluster)
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def validate_job_execution(self, cluster, job, data):
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oo_count = u.get_instances_count(cluster, 'OOZIE_SERVER')
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if oo_count != 1:
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raise pl_ex.InvalidComponentCountException(
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'OOZIE_SERVER', '1', oo_count)
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super(EdpOozieEngine, self).validate_job_execution(cluster, job, data)
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@staticmethod
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def get_possible_job_config(job_type):
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if edp.compare_job_type(job_type, edp.JOB_TYPE_HIVE):
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return {'job_config': ch_helper.get_possible_hive_config_from(
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'plugins/cdh/v5_4_0/resources/hive-site.xml')}
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if edp.compare_job_type(job_type,
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edp.JOB_TYPE_MAPREDUCE,
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edp.JOB_TYPE_MAPREDUCE_STREAMING):
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return {'job_config': ch_helper.get_possible_mapreduce_config_from(
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'plugins/cdh/v5_4_0/resources/mapred-site.xml')}
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if edp.compare_job_type(job_type, edp.JOB_TYPE_PIG):
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return {'job_config': ch_helper.get_possible_pig_config_from(
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'plugins/cdh/v5_4_0/resources/mapred-site.xml')}
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return edp_engine.OozieJobEngine.get_possible_job_config(job_type)
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class EdpSparkEngine(edp_spark_engine.SparkJobEngine):
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edp_base_version = "5.4.0"
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def __init__(self, cluster):
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super(EdpSparkEngine, self).__init__(cluster)
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self.master = u.get_instance(cluster, "SPARK_YARN_HISTORY_SERVER")
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self.plugin_params["spark-user"] = "sudo -u spark "
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self.plugin_params["spark-submit"] = "spark-submit"
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self.plugin_params["deploy-mode"] = "cluster"
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self.plugin_params["master"] = "yarn-cluster"
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driver_cp = u.get_config_value_or_default(
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"Spark", "Executor extra classpath", self.cluster)
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self.plugin_params["driver-class-path"] = driver_cp
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@staticmethod
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def edp_supported(version):
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return version >= EdpSparkEngine.edp_base_version
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def validate_job_execution(self, cluster, job, data):
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if not self.edp_supported(cluster.hadoop_version):
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raise ex.InvalidDataException(
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_('Cloudera {base} or higher required to run {type}'
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'jobs').format(
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base=EdpSparkEngine.edp_base_version, type=job.type))
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shs_count = u.get_instances_count(
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cluster, 'SPARK_YARN_HISTORY_SERVER')
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if shs_count != 1:
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raise pl_ex.InvalidComponentCountException(
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'SPARK_YARN_HISTORY_SERVER', '1', shs_count)
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super(EdpSparkEngine, self).validate_job_execution(
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cluster, job, data)
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