e55238a881
Now EDP engine is fully responsible on validation of data for job execution. Other changes: * Removed API calls from validation to remove circular dependancy * Removed plugins patching in validation to allow non-vanilla plugins testing * Renamed job_executor to job_execution Change-Id: I14c86f33b355cb4317e96a70109d8d72d52d3c00 Closes-Bug: #1357512
29 lines
1.0 KiB
Python
29 lines
1.0 KiB
Python
# Copyright (c) 2014 Mirantis 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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from sahara import exceptions as ex
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from sahara.i18n import _
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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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def validate_job_execution(self, cluster, job, data):
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if cluster.hadoop_version < "1.0.0":
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raise ex.InvalidDataException(
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_('Spark 1.0.0 or higher required to run spark %s jobs')
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% job.type)
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super(EdpEngine, self).validate_job_execution(cluster, job, data)
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