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51 lines
1.8 KiB
51 lines
1.8 KiB
3 years ago
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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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"""
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A example workflow for task datax.
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This example will create a workflow named `task_datax`.
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`task_datax` is true workflow define and run task task_datax.
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You can create data sources `first_mysql` and `first_mysql` through UI.
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It creates a task to synchronize datax from the source database to the target database.
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"""
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from pydolphinscheduler.core.process_definition import ProcessDefinition
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from pydolphinscheduler.tasks.datax import CustomDataX, DataX
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# datax json template
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JSON_TEMPLATE = ""
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with ProcessDefinition(
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name="task_datax",
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tenant="tenant_exists",
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) as pd:
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# This task synchronizes the data in `t_ds_project`
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# of `first_mysql` database to `target_project` of `second_mysql` database.
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task1 = DataX(
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name="task_datax",
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datasource_name="first_mysql",
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datatarget_name="second_mysql",
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sql="select id, name, code, description from source_table",
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target_table="target_table",
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)
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# you can custom json_template of datax to sync data.
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task2 = CustomDataX(name="task_custom_datax", json=JSON_TEMPLATE)
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pd.run()
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