[jira] [Assigned] (SPARK-10648) Spark-SQL JDBC fails to set a default precision and scale when they are not defined in an oracle schema.

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-10648?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-10648:
------------------------------------

    Assignee:     (was: Apache Spark)

> Spark-SQL JDBC fails to set a default precision and scale when they are not defined in an oracle schema.
> --------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-10648
>                 URL: https://issues.apache.org/jira/browse/SPARK-10648
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.5.0
>         Environment: using oracle 11g, ojdbc7.jar
>            Reporter: Travis Hegner
>
> Using oracle 11g as a datasource with ojdbc7.jar. When importing data into a scala app, I am getting an exception "Overflowed precision". Some times I would get the exception "Unscaled value too large for precision".
> This issue likely affects older versions as well, but this was the version I verified it on.
> I narrowed it down to the fact that the schema detection system was trying to set the precision to 0, and the scale to -127.
> I have a proposed pull request to follow.



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