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97 lines
3.6 KiB
97 lines
3.6 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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.. http://www.apache.org/licenses/LICENSE-2.0
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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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Configuration
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=============
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Export Configuration File
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-------------------------
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pydolphinscheduler allows you to change the built-in configurations via CLI or editor you like. pydolphinscheduler
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integrated built-in configurations in its package, but you could also export it locally by CLI
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.. code-block:: bash
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$ pydolphinscheduler config --init
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And it will create a new YAML file in the path `~/pydolphinscheduler/config.yaml` by default. If you want to export
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it to another path, you should set `PYDOLPHINSCHEDULER_HOME` before you run command :code:`pydolphinscheduler config --init`.
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.. code-block:: bash
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$ export PYDOLPHINSCHEDULER_HOME=<CUSTOM_PATH>
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$ pydolphinscheduler config --init
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After that, your configuration file will export into `<CUSTOM_PATH>/config.yaml` instead of the default path.
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Change Configuration
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--------------------
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In section `export configuration file`_ you export the configuration file locally, and as a local file, you could
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edit it with any editor you like. After you save your change in your editor, the latest configuration will work
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when you run your workflow code.
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You could also query or change the configuration via CLI :code:`config --get <config>` or :code:`config --get <config> <val>`.
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Both `--get` and `--set` could be call one or more times in single command, and you could only set the leaf
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node of the configuration but could get the parent configuration, there are simple examples below:
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.. code-block:: bash
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# Get single configuration in the leaf node
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$ pydolphinscheduler config --get java_gateway.address
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The configuration query as below:
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java_gateway.address = 127.0.0.1
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# Get multiple configuration in the leaf node
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$ pydolphinscheduler config --get java_gateway.address --get java_gateway.port
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The configuration query as below:
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java_gateway.address = 127.0.0.1
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java_gateway.port = 25333
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# Get parent configuration which contain multiple leaf nodes
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$ pydolphinscheduler config --get java_gateway
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The configuration query as below:
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java_gateway = ordereddict([('address', '127.0.0.1'), ('port', 25333), ('auto_convert', True)])
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# Set single configuration
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$ pydolphinscheduler config --set java_gateway.address 192.168.1.1
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Set configuration done.
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# Set multiple configuration
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$ pydolphinscheduler config --set java_gateway.address 192.168.1.1 --set java_gateway.port 25334
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Set configuration done.
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# Set configuration not in leaf node will fail
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$ pydolphinscheduler config --set java_gateway 192.168.1.1,25334,True
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Raise error.
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For more information about our CLI, you could see document :doc:`cli`.
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All Configurations
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------------------
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Here are all our configurations for pydolphinscheduler.
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.. literalinclude:: ../../src/pydolphinscheduler/core/default_config.yaml
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:language: yaml
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:lines: 18-
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