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# 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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"""A example workflow for task mr.""" |
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from pydolphinscheduler.core.engine import ProgramType |
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from pydolphinscheduler.core.process_definition import ProcessDefinition |
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from pydolphinscheduler.tasks.map_reduce import MR |
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with ProcessDefinition(name="task_map_reduce_example", tenant="tenant_exists") as pd: |
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task = MR( |
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name="task_mr", |
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main_class="wordcount", |
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main_package="hadoop-mapreduce-examples-3.3.1.jar", |
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program_type=ProgramType.JAVA, |
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main_args="/dolphinscheduler/tenant_exists/resources/file.txt /output/ds", |
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) |
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pd.run() |
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# 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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"""Task MR.""" |
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from typing import Optional |
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from pydolphinscheduler.constants import TaskType |
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from pydolphinscheduler.core.engine import Engine, ProgramType |
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class MR(Engine): |
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"""Task mr object, declare behavior for mr task to dolphinscheduler.""" |
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_task_custom_attr = { |
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"app_name", |
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"main_args", |
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"others", |
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} |
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def __init__( |
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self, |
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name: str, |
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main_class: str, |
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main_package: str, |
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program_type: Optional[ProgramType] = ProgramType.SCALA, |
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app_name: Optional[str] = None, |
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main_args: Optional[str] = None, |
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others: Optional[str] = None, |
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*args, |
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**kwargs |
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): |
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super().__init__( |
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name, TaskType.MR, main_class, main_package, program_type, *args, **kwargs |
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) |
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self.app_name = app_name |
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self.main_args = main_args |
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self.others = others |
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# 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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"""Test Task MR.""" |
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from unittest.mock import patch |
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from pydolphinscheduler.tasks.map_reduce import MR, ProgramType |
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@patch( |
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"pydolphinscheduler.core.engine.Engine.get_resource_info", |
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return_value=({"id": 1, "name": "test"}), |
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) |
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def test_mr_get_define(mock_resource): |
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"""Test task mr function get_define.""" |
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code = 123 |
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version = 1 |
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name = "test_mr_get_define" |
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main_class = "org.apache.mr.test_main_class" |
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main_package = "test_main_package" |
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program_type = ProgramType.JAVA |
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main_args = "/dolphinscheduler/resources/file.txt /output/ds" |
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expect = { |
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"code": code, |
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"name": name, |
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"version": 1, |
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"description": None, |
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"delayTime": 0, |
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"taskType": "MR", |
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"taskParams": { |
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"mainClass": main_class, |
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"mainJar": { |
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"id": 1, |
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}, |
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"programType": program_type, |
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"appName": None, |
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"mainArgs": main_args, |
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"others": None, |
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"localParams": [], |
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"resourceList": [], |
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"dependence": {}, |
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"conditionResult": {"successNode": [""], "failedNode": [""]}, |
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"waitStartTimeout": {}, |
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}, |
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"flag": "YES", |
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"taskPriority": "MEDIUM", |
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"workerGroup": "default", |
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"failRetryTimes": 0, |
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"failRetryInterval": 1, |
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"timeoutFlag": "CLOSE", |
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"timeoutNotifyStrategy": None, |
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"timeout": 0, |
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} |
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with patch( |
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"pydolphinscheduler.core.task.Task.gen_code_and_version", |
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return_value=(code, version), |
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): |
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task = MR(name, main_class, main_package, program_type, main_args=main_args) |
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assert task.get_define() == expect |
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