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102 lines
3.6 KiB
102 lines
3.6 KiB
# 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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"job": { |
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"content": [ |
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{ |
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"reader": { |
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"name": "mysqlreader", |
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"parameter": { |
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"username": "usr", |
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"password": "pwd", |
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"column": [ |
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"id", |
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"name", |
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"code", |
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"description" |
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], |
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"splitPk": "id", |
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"connection": [ |
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{ |
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"table": [ |
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"source_table" |
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], |
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"jdbcUrl": [ |
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"jdbc:mysql://127.0.0.1:3306/source_db" |
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] |
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} |
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] |
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} |
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}, |
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"writer": { |
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"name": "mysqlwriter", |
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"parameter": { |
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"writeMode": "insert", |
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"username": "usr", |
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"password": "pwd", |
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"column": [ |
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"id", |
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"name" |
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], |
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"connection": [ |
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{ |
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"jdbcUrl": "jdbc:mysql://127.0.0.1:3306/target_db", |
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"table": [ |
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"target_table" |
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] |
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} |
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] |
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} |
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} |
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} |
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] |
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} |
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} |
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with ProcessDefinition( |
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name="task_datax_1", |
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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. This task create job |
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# same as task1 do |
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task2 = CustomDataX(name="task_custom_datax", json=str(JSON_TEMPLATE)) |
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pd.run()
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