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33 lines
1.3 KiB
33 lines
1.3 KiB
# Licensed to the Apache Software Foundation (ASF) under one |
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# or more contributor license agreements. See the NOTICE file |
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# distributed with this work for additional information |
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# regarding copyright ownership. The ASF licenses this file |
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# to you under the Apache License, Version 2.0 (the |
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# "License"); you may not use this file except in compliance |
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# with the License. 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, |
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# software distributed under the License is distributed on an |
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
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# KIND, either express or implied. See the License for the |
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# specific language governing permissions and limitations |
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# under the License. |
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# [start workflow_declare] |
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"""A example workflow for task spark.""" |
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from pydolphinscheduler.core.process_definition import ProcessDefinition |
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from pydolphinscheduler.tasks.spark import DeployMode, ProgramType, Spark |
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with ProcessDefinition(name="task_spark_example", tenant="tenant_exists") as pd: |
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task = Spark( |
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name="task_spark", |
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main_class="org.apache.spark.examples.SparkPi", |
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main_package="spark-examples_2.12-3.2.0.jar", |
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program_type=ProgramType.JAVA, |
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deploy_mode=DeployMode.LOCAL, |
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) |
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pd.run() |
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# [end workflow_declare]
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