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