74159dfdd2
Spark jobs in Cloudera 5.3.0 and 5.4.0 plugins are now supported. Required unit tests have been added. Merged with current master HEAD. Change-Id: Ic8fde97e424e45c6f31f7794749793b26c844915 Implements: blueprint spark-jobs-for-cdh-5-3-0
61 lines
2.2 KiB
Python
61 lines
2.2 KiB
Python
# Copyright (c) 2014 Mirantis Inc.
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# Copyright (c) 2015 ISPRAS
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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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import six
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from sahara import exceptions as ex
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from sahara.i18n import _
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from sahara.plugins import utils as plugin_utils
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from sahara.service.edp.spark import engine as edp_engine
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class EdpEngine(edp_engine.SparkJobEngine):
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edp_base_version = "1.0.0"
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def __init__(self, cluster):
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super(EdpEngine, self).__init__(cluster)
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self.master = plugin_utils.get_instance(cluster, "master")
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self.plugin_params["spark-user"] = ""
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self.plugin_params["spark-submit"] = os.path.join(
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plugin_utils.
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get_config_value_or_default("Spark", "Spark home", self.cluster),
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"bin/spark-submit")
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self.plugin_params["deploy-mode"] = "client"
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port_str = six.text_type(
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plugin_utils.get_config_value_or_default(
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"Spark", "Master port", self.cluster))
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self.plugin_params["master"] = ('spark://%(host)s:' + port_str)
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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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if driver_cp:
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driver_cp = " --driver-class-path " + driver_cp
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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 >= EdpEngine.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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_('Spark {base} or higher required to run {type} jobs').format(
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base=EdpEngine.edp_base_version, type=job.type))
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super(EdpEngine, self).validate_job_execution(cluster, job, data)
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