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163 lines
6.8 KiB
163 lines
6.8 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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.. 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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Getting Started |
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=============== |
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To get started with *PyDolphinScheduler* you must ensure python and pip |
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installed on your machine, if you're already set up, you can skip straight |
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to `Installing PyDolphinScheduler`_, otherwise please continue with |
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`Installing Python`_. |
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Installing Python |
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----------------- |
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How to install `python` and `pip` depends on what operating system |
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you're using. The python wiki provides up to date |
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`instructions for all platforms here`_. When you entering the website |
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and choice your operating system, you would be offered the choice and |
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select python version. *PyDolphinScheduler* recommend use version above |
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Python 3.6 and we highly recommend you install *Stable Releases* instead |
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of *Pre-releases*. |
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After you have download and installed Python, you should open your terminal, |
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typing and running :code:`python --version` to check whether the installation |
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is correct or not. If all thing good, you could see the version in console |
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without error(here is a example after Python 3.8.7 installed) |
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.. code-block:: bash |
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python --version |
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Will see detail of Python version, such as *Python 3.8.7* |
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Installing PyDolphinScheduler |
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----------------------------- |
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After Python is already installed on your machine following section |
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`installing Python`_, it easy to *PyDolphinScheduler* by pip. |
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.. code-block:: bash |
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python -m pip install apache-dolphinscheduler |
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The latest version of *PyDolphinScheduler* would be installed after you run above |
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command in your terminal. You could go and `start Python Gateway Service`_ to finish |
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the prepare, and then go to :doc:`tutorial` to make your hand dirty. But if you |
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want to install the unreleased version of *PyDolphinScheduler*, you could go and see |
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section `installing PyDolphinScheduler in dev branch`_ for more detail. |
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.. note:: |
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Currently, we released multiple pre-release package in PyPI, you can see all released package |
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including pre-release in `release history <https://pypi.org/project/apache-dolphinscheduler/#history>`_. |
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You can fix the the package version if you want to install pre-release package, for example if |
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you want to install version `3.0.0-beta-2` package, you can run command |
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:code:`python -m pip install apache-dolphinscheduler==3.0.0b2`. |
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Installing PyDolphinScheduler In DEV Branch |
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------------------------------------------- |
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Because the project is developing and some of the features still not release. |
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If you want to try some thing unreleased you could install from the source code |
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which we hold in GitHub |
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.. code-block:: bash |
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# Clone Apache DolphinScheduler repository |
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git clone git@github.com:apache/dolphinscheduler.git |
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# Install PyDolphinScheduler in develop mode |
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cd dolphinscheduler-python/pydolphinscheduler && python -m pip install -e . |
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After you installed *PyDolphinScheduler*, please remember `start Python Gateway Service`_ |
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which waiting for *PyDolphinScheduler*'s workflow definition require. |
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Start Python Gateway Service |
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---------------------------- |
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Since **PyDolphinScheduler** is Python API for `Apache DolphinScheduler`_, it |
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could define workflow and tasks structure, but could not run it unless you |
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`install Apache DolphinScheduler`_ and start its API server which including |
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Python gateway service in it. We only and some key steps here and you could |
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go `install Apache DolphinScheduler`_ for more detail |
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.. code-block:: bash |
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# Start DolphinScheduler api-server which including python gateway service |
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./bin/dolphinscheduler-daemon.sh start api-server |
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To check whether the server is alive or not, you could run :code:`jps`. And |
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the server is health if keyword `ApiApplicationServer` in the console. |
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.. code-block:: bash |
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jps |
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# .... |
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# 201472 ApiApplicationServer |
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# .... |
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.. note:: |
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Please make sure you already enabled started Python gateway service along with `api-server`. The configuration is in |
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yaml config path `python-gateway.enabled : true` in api-server's configuration path in `api-server/conf/application.yaml`. |
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The default value is true and Python gateway service start when api server is been started. |
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Run an Example |
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-------------- |
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Before run an example for pydolphinscheduler, you should get the example code from it source code. You could run |
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single bash command to get it |
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.. code-block:: bash |
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wget https://raw.githubusercontent.com/apache/dolphinscheduler/dev/dolphinscheduler-python/pydolphinscheduler/src/pydolphinscheduler/examples/tutorial.py |
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or you could copy-paste the content from `tutorial source code`_. And then you could run the example in your |
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terminal |
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.. code-block:: bash |
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python tutorial.py |
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If you want to submit your workflow to a remote API server, which means that your workflow script is different |
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from the API server, you should first change pydolphinscheduler configuration and then submit the workflow script |
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.. code-block:: bash |
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pydolphinscheduler config --init |
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pydolphinscheduler config --set java_gateway.address <YOUR-API-SERVER-IP-OR-HOSTNAME> |
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python tutorial.py |
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.. note:: |
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You could see more information in :doc:`config` about all the configurations pydolphinscheduler supported. |
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After that, you could go and see your DolphinScheduler web UI to find out a new workflow created by pydolphinscheduler, |
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and the path of web UI is `Project -> Workflow -> Workflow Definition`. |
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What's More |
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----------- |
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If you do not familiar with *PyDolphinScheduler*, you could go to :doc:`tutorial` and see how it works. But |
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if you already know the basic usage or concept of *PyDolphinScheduler*, you could go and play with all |
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:doc:`tasks/index` *PyDolphinScheduler* supports, or see our :doc:`howto/index` about useful cases. |
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.. _`instructions for all platforms here`: https://wiki.python.org/moin/BeginnersGuide/Download |
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.. _`Apache DolphinScheduler`: https://dolphinscheduler.apache.org |
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.. _`install Apache DolphinScheduler`: https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/guide/installation/standalone.html |
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.. _`tutorial source code`: https://raw.githubusercontent.com/apache/dolphinscheduler/dev/dolphinscheduler-python/pydolphinscheduler/src/pydolphinscheduler/examples/tutorial.py
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