81 lines
3.4 KiB
Python
81 lines
3.4 KiB
Python
# Copyright (c) 2015 Red Hat, Inc.
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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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import os
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from sahara.plugins import edp
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from sahara.plugins import exceptions as ex
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from sahara.plugins import utils as plugin_utils
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from sahara_plugin_vanilla.i18n import _
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from sahara_plugin_vanilla.plugins.vanilla import confighints_helper as chh
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from sahara_plugin_vanilla.plugins.vanilla.hadoop2 import edp_engine
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from sahara_plugin_vanilla.plugins.vanilla import utils as v_utils
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class EdpOozieEngine(edp_engine.EdpOozieEngine):
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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': chh.get_possible_hive_config_from(
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'plugins/vanilla/v2_7_1/resources/hive-default.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': chh.get_possible_mapreduce_config_from(
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'plugins/vanilla/v2_7_1/resources/mapred-default.xml')}
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if edp.compare_job_type(job_type, edp.JOB_TYPE_PIG):
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return {'job_config': chh.get_possible_pig_config_from(
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'plugins/vanilla/v2_7_1/resources/mapred-default.xml')}
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return edp_engine.EdpOozieEngine.get_possible_job_config(job_type)
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class EdpSparkEngine(edp.PluginsSparkJobEngine):
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edp_base_version = "2.7.1"
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def __init__(self, cluster):
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super(EdpSparkEngine, self).__init__(cluster)
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self.master = plugin_utils.get_instance(cluster,
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"spark history server")
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self.plugin_params["spark-user"] = "sudo -u hadoop "
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self.plugin_params["spark-submit"] = os.path.join(
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plugin_utils.get_config_value_or_default(
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"Spark", "Spark home", self.cluster),
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"bin/spark-submit")
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self.plugin_params["deploy-mode"] = "cluster"
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self.plugin_params["master"] = "yarn"
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driver_cp = plugin_utils.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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@staticmethod
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def job_type_supported(job_type):
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return (job_type in
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edp.PluginsSparkJobEngine.get_supported_job_types())
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def validate_job_execution(self, cluster, job, data):
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if (not self.edp_supported(cluster.hadoop_version) or
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not v_utils.get_spark_history_server(cluster)):
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raise ex.PluginInvalidDataException(
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_('Spark {base} or higher required to run {type} jobs').format(
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base=EdpSparkEngine.edp_base_version, type=job.type))
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super(EdpSparkEngine, self).validate_job_execution(cluster, job, data)
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