| # 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. |
| |
| # [start workflow_declare] |
| """A example workflow for task mr.""" |
| |
| from pydolphinscheduler.core.engine import ProgramType |
| from pydolphinscheduler.core.workflow import Workflow |
| from pydolphinscheduler.tasks.map_reduce import MR |
| |
| with Workflow(name="task_map_reduce_example") as workflow: |
| task = MR( |
| name="task_mr", |
| main_class="wordcount", |
| main_package="hadoop-mapreduce-examples-3.3.1.jar", |
| program_type=ProgramType.JAVA, |
| main_args="/dolphinscheduler/tenant_exists/resources/file.txt /output/ds", |
| ) |
| workflow.run() |
| # [end workflow_declare] |