分布式调度框架。
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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
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# 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()