You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
50 lines
1.8 KiB
50 lines
1.8 KiB
# 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 datax. |
|
|
|
This example will create a workflow named `task_datax`. |
|
`task_datax` is true workflow define and run task task_datax. |
|
You can create data sources `first_mysql` and `first_mysql` through UI. |
|
It creates a task to synchronize datax from the source database to the target database. |
|
""" |
|
|
|
|
|
from pydolphinscheduler.core.process_definition import ProcessDefinition |
|
from pydolphinscheduler.tasks.datax import CustomDataX, DataX |
|
|
|
# datax json template |
|
JSON_TEMPLATE = "" |
|
|
|
with ProcessDefinition( |
|
name="task_datax_example", |
|
tenant="tenant_exists", |
|
) as pd: |
|
# This task synchronizes the data in `t_ds_project` |
|
# of `first_mysql` database to `target_project` of `second_mysql` database. |
|
task1 = DataX( |
|
name="task_datax", |
|
datasource_name="first_mysql", |
|
datatarget_name="second_mysql", |
|
sql="select id, name, code, description from source_table", |
|
target_table="target_table", |
|
) |
|
|
|
# you can custom json_template of datax to sync data. |
|
task2 = CustomDataX(name="task_custom_datax", json=JSON_TEMPLATE) |
|
pd.run()
|
|
|