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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/03/15 11:04:33 UTC

[jira] [Commented] (SPARK-13866) Handle decimal type in CSV inference

    [ https://issues.apache.org/jira/browse/SPARK-13866?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15195032#comment-15195032 ] 

Apache Spark commented on SPARK-13866:
--------------------------------------

User 'HyukjinKwon' has created a pull request for this issue:
https://github.com/apache/spark/pull/11724

> Handle decimal type in CSV inference
> ------------------------------------
>
>                 Key: SPARK-13866
>                 URL: https://issues.apache.org/jira/browse/SPARK-13866
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>            Reporter: Hossein Falaki
>
> CSV Schema Inference does not check for decimal type. As a result large integers are cast as double. This is not desired outcome for many ID columns in real data scenarios. 



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