未验证 提交 7aeac758 编写于 作者: D Devosend 提交者: GitHub

[Feature-7348] [Python] Add workflow as code task type mr (#8140)

上级 df26be89
# 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 mr."""
from pydolphinscheduler.core.engine import ProgramType
from pydolphinscheduler.core.process_definition import ProcessDefinition
from pydolphinscheduler.tasks.map_reduce import MR
with ProcessDefinition(name="task_map_reduce_example", tenant="tenant_exists") as pd:
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",
)
pd.run()
......@@ -79,6 +79,7 @@ class TaskType(str):
SWITCH = "SWITCH"
FLINK = "FLINK"
SPARK = "SPARK"
MR = "MR"
class DefaultTaskCodeNum(str):
......
# 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.
"""Task MR."""
from typing import Optional
from pydolphinscheduler.constants import TaskType
from pydolphinscheduler.core.engine import Engine, ProgramType
class MR(Engine):
"""Task mr object, declare behavior for mr task to dolphinscheduler."""
_task_custom_attr = {
"app_name",
"main_args",
"others",
}
def __init__(
self,
name: str,
main_class: str,
main_package: str,
program_type: Optional[ProgramType] = ProgramType.SCALA,
app_name: Optional[str] = None,
main_args: Optional[str] = None,
others: Optional[str] = None,
*args,
**kwargs
):
super().__init__(
name, TaskType.MR, main_class, main_package, program_type, *args, **kwargs
)
self.app_name = app_name
self.main_args = main_args
self.others = others
# 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.
"""Test Task MR."""
from unittest.mock import patch
from pydolphinscheduler.tasks.map_reduce import MR, ProgramType
@patch(
"pydolphinscheduler.core.engine.Engine.get_resource_info",
return_value=({"id": 1, "name": "test"}),
)
def test_mr_get_define(mock_resource):
"""Test task mr function get_define."""
code = 123
version = 1
name = "test_mr_get_define"
main_class = "org.apache.mr.test_main_class"
main_package = "test_main_package"
program_type = ProgramType.JAVA
main_args = "/dolphinscheduler/resources/file.txt /output/ds"
expect = {
"code": code,
"name": name,
"version": 1,
"description": None,
"delayTime": 0,
"taskType": "MR",
"taskParams": {
"mainClass": main_class,
"mainJar": {
"id": 1,
},
"programType": program_type,
"appName": None,
"mainArgs": main_args,
"others": None,
"localParams": [],
"resourceList": [],
"dependence": {},
"conditionResult": {"successNode": [""], "failedNode": [""]},
"waitStartTimeout": {},
},
"flag": "YES",
"taskPriority": "MEDIUM",
"workerGroup": "default",
"failRetryTimes": 0,
"failRetryInterval": 1,
"timeoutFlag": "CLOSE",
"timeoutNotifyStrategy": None,
"timeout": 0,
}
with patch(
"pydolphinscheduler.core.task.Task.gen_code_and_version",
return_value=(code, version),
):
task = MR(name, main_class, main_package, program_type, main_args=main_args)
assert task.get_define() == expect
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