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Yandex.Cloud Data Proc Operators
================================

The `Yandex.Cloud Data Proc <https://cloud.yandex.com/services/data-proc>`__ is a service that helps to deploy Apache Hadoop®* and Apache Spark™ clusters in the Yandex.Cloud infrastructure.

You can control the cluster size, node capacity, and set of Apache® services
(Spark, HDFS, YARN, Hive, HBase, Oozie, Sqoop, Flume, Tez, Zeppelin).

Apache Hadoop is used for storing and analyzing structured and unstructured big data.

Apache Spark is a tool for quick data-processing that can be integrated with Apache Hadoop as well as with other storage systems.

Prerequisite Tasks
^^^^^^^^^^^^^^^^^^
#. Install the ``yandexcloud`` package first, like so: ``pip install 'apache-airflow[yandexcloud]'``.
#. Restart the Airflow webserver and scheduler.
#. Make sure the Yandex.Cloud connection type has been defined in Airflow. Open the connections list and look for a connection with 'yandexcloud' type.
#. Fill the required fields in Yandex.Cloud connection.

Using the operators
^^^^^^^^^^^^^^^^^^^^^
See the usage examples in `example DAGs <https://github.com/apache/airflow/blob/master/airflow/providers/yandex/example_dags/example_yandexcloud_dataproc.py>`_