[jira] [Updated] (SPARK-5472) Add support for reading from and writing to a JDBC database

["Reynold Xin (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-5472?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Reynold Xin updated SPARK-5472:
-------------------------------
    Description: 
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.

  was:
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.


> 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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