2014-10-13 09:05:34 +04:00
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Code / API
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==========
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2015-02-02 22:12:04 +03:00
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Operators
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---------
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Operators allows to generate a certain type of task that become a node in
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the DAG when instantiated. All operators derive from BaseOperator and
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inherit a whole lot of attributes and method that way. Refer to the
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BaseOperator documentation for more details.
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.. automodule:: airflow.operators
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:show-inheritance:
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2015-02-03 09:09:49 +03:00
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:members:
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HiveOperator,
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MySqlOperator,
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BashOperator,
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2015-02-08 02:36:40 +03:00
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PythonOperator,
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2015-02-03 09:09:49 +03:00
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ExternalTaskSensor,
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SqlSensor,
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HivePartitionSensor,
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HdfsSensor,
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2015-02-17 19:28:57 +03:00
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TimeSensor,
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2015-02-03 09:09:49 +03:00
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PrestoCheckOperator,
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PrestoIntervalCheckOperator,
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PrestoValueCheckOperator,
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Hive2SambaOperator,
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DummyOperator,
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EmailOperator
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2015-02-02 22:12:04 +03:00
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Macros
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---------
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2015-02-03 09:09:49 +03:00
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Here's a list of variables and macros that can be used in templates
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Default Variables
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'''''''''''''''''
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The Airflow engine passes a few variables by default that are accessible
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in all templates
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================================= ====================================
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Variable Description
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================================= ====================================
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``{{ ds }}`` the execution date as ``YYYY-MM-DD``
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2015-03-05 09:18:24 +03:00
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``{{ yesterday_ds }}`` yesterday's date as ``YYYY-MM-DD``
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``{{ tomorrow_ds }}`` tomorrow's date as ``YYYY-MM-DD``
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``{{ ds }}`` the execution date as ``YYYY-MM-DD``
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2015-02-03 09:09:49 +03:00
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``{{ execution_date }}`` the execution_date, (datateime.datetime)
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``{{ dag }}`` the DAG object
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``{{ task }}`` the Task object
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``{{ macros }}`` a reference to the macros package, described bellow
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``{{ task_instance }}`` the task_instance object
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``{{ ds_nodash }}`` the execution date as ``YYYYMMDD``
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``{{ end_date }}`` same as ``{{ ds }}``
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``{{ lastest_date }}`` same as ``{{ ds }}``
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``{{ ti }}`` same as ``{{ task_instance }}``
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``{{ params }}`` a reference to the user defined params dictionary
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``{{ task_instance_key_str }}`` a unique, human readable key to the task instance
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formatted ``{dag_id}_{task_id}_{ds}``
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================================= ====================================
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Note that you can access the objects attributes and methods with simple
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dot notation. Here are some examples of what is possible:
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``{{ task.owner }}``, ``{{ task.task_id }}``, ``{{ ti.hostname }}``, ...
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Refer to the models documentation for more information on the objects
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attributes and methods.
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Macros
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''''''
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These macros live under the ``macros`` namespace in your templates.
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.. automodule:: airflow.macros
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:show-inheritance:
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:members:
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2015-02-02 22:12:04 +03:00
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.. automodule:: airflow.macros.hive
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:show-inheritance:
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:members:
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.. _models_ref:
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2014-10-13 09:05:34 +04:00
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Models
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------
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2015-02-02 22:12:04 +03:00
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2014-10-13 09:05:34 +04:00
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Models are built on top of th SQLAlchemy ORM Base class, instance are
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persisted in the database.
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2015-02-02 22:12:04 +03:00
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2015-01-17 02:55:11 +03:00
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.. automodule:: airflow.models
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2014-10-20 20:40:43 +04:00
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:show-inheritance:
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2015-01-17 19:26:11 +03:00
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:members: DAG, BaseOperator, TaskInstance, DagBag, Connection
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Hooks
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-----
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.. automodule:: airflow.hooks
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:show-inheritance:
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2015-02-26 04:13:07 +03:00
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:members: MySqlHook, PrestoHook, HiveCliHook, HiveServer2Hook, HiveMetastoreHook
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2014-10-13 09:05:34 +04:00
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Executors
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---------
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2015-01-17 19:26:11 +03:00
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Executors are the mechanism by which task instances get run.
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2015-01-18 02:27:01 +03:00
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2015-01-17 02:55:11 +03:00
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.. automodule:: airflow.executors
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2015-01-17 19:26:11 +03:00
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:show-inheritance:
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:members: LocalExecutor, CeleryExecutor, SequentialExecutor
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