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From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-5472) Add support for reading from and writing to a JDBC database
Date Thu, 29 Jan 2015 16:59:34 GMT

    [ https://issues.apache.org/jira/browse/SPARK-5472?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14297134#comment-14297134
] 

Sean Owen commented on SPARK-5472:
----------------------------------

Sounds like a reasonable suggestion to me; I was really just asking the question about what
the intended difference is. Others will have a more informed perspective on how this fits
in.

> Add support for reading from and writing to a JDBC database
> -----------------------------------------------------------
>
>                 Key: SPARK-5472
>                 URL: https://issues.apache.org/jira/browse/SPARK-5472
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>            Reporter: Tor Myklebust
>            Priority: Minor
>
> It would be nice to be able to make a table in a JDBC database appear as a table in Spark
SQL.  This would let users, for instance, perform a JOIN between a DataFrame in Spark SQL
with a table in a Postgres database.
> It might also be nice to be able to go the other direction---save a DataFrame to a database---for
instance in an ETL job.



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