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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2017/03/12 11:46:04 UTC
[jira] [Resolved] (SPARK-16099) Refatoring CSV data source and
improve performance
[ https://issues.apache.org/jira/browse/SPARK-16099?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-16099.
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Resolution: Done
> 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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