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