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From "ASF subversion and git services (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (AIRFLOW-2085) Add Spark JDBC Operator/Hook
Date Sat, 10 Feb 2018 16:20:01 GMT

    [ https://issues.apache.org/jira/browse/AIRFLOW-2085?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16359488#comment-16359488
] 

ASF subversion and git services commented on AIRFLOW-2085:
----------------------------------------------------------

Commit d5b5ae0ee4089261916028390bcb3fad63c7f022 in incubator-airflow's branch refs/heads/master
from [~danielvdende]
[ https://git-wip-us.apache.org/repos/asf?p=incubator-airflow.git;h=d5b5ae0 ]

[AIRFLOW-2085] Add SparkJdbc operator

Add the Spark JDBC hook/operator pair. This pair
extends
the existing SparkSubmitOperator. Also includes
the
spark_jdbc_script, which is the actual Spark job
that is run.

Closes #3021 from danielvdende/AIRFLOW-2085-add-
spark-jdbc-operator


> Add Spark JDBC Operator/Hook
> ----------------------------
>
>                 Key: AIRFLOW-2085
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-2085
>             Project: Apache Airflow
>          Issue Type: New Feature
>          Components: contrib, hooks, operators
>            Reporter: Daniel van der Ende
>            Assignee: Daniel van der Ende
>            Priority: Minor
>             Fix For: 2.0.0
>
>
> Spark offers a nice API for communicating with JDBC-based databases. It would be nice
to have an Airflow hook/operator pair to wrap around this, to allow for easy use of this functionality
in DAGs.



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