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https://issues.apache.org/jira/browse/SPARK-5472?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14299642#comment-14299642
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Reynold Xin commented on SPARK-5472:
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[~chinnitv], thanks for commenting. The existing JdbcRDD doesn't really solve
the use case of loading in. In particular, it cannot:
1. Be used in pure SQL
2. Be used without tons of glue code (converting resultSet to case classes is
still more code than necessary to write)
3. It does not support filter pushdown, unless users manually write the
pushdown.
> 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
> Assignee: Tor Myklebust
> Priority: Blocker
>
> 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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