[jira] [Commented] (SPARK-16099) Refatoring CSV data source and improve performance

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-16099?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15341659#comment-15341659 ] 

Hyukjin Kwon commented on SPARK-16099:
--------------------------------------

Basically it was splitted because the original PR was a bit big and include loosely related changes. So, I will work on them all together.

> Refatoring CSV data source and improve performance
> --------------------------------------------------
>
>                 Key: SPARK-16099
>                 URL: https://issues.apache.org/jira/browse/SPARK-16099
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.0.0
>            Reporter: Hyukjin Kwon
>
> This was suggested in https://github.com/apache/spark/pull/12268
> CSV data sources is pretty much similar with JSON data source. However, currently the structure is pretty different.
> It would be great if it is refactored so that this to be consistent with JSON data source and we can fix some common issues together easily.
> In addition, it seems there are some factors to improve comparing JSON data sources.
> This JIRA ticket includes several sub-tasks about refactoring and performance improvement.
> The main purpose of this JIRA is to tie up several sub-tasks found in the PR above.



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