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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/04/29 13:34:06 UTC

[jira] [Commented] (SPARK-7196) decimal precision lost when loading DataFrame from JDBC

    [ https://issues.apache.org/jira/browse/SPARK-7196?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14519158#comment-14519158 ] 

Apache Spark commented on SPARK-7196:
-------------------------------------

User 'viirya' has created a pull request for this issue:
https://github.com/apache/spark/pull/5777

> decimal precision lost when loading DataFrame from JDBC
> -------------------------------------------------------
>
>                 Key: SPARK-7196
>                 URL: https://issues.apache.org/jira/browse/SPARK-7196
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.3.1
>            Reporter: Ken Geis
>
> I have a decimal database field that is defined as 10.2 (i.e. ##########.##). When I load it into Spark via sqlContext.jdbc(..), the type of the corresponding field in the DataFrame is DecimalType, with precisionInfo None. Because of that loss of precision information, SPARK-4176 is triggered when I try to .saveAsTable(..).



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