[jira] [Commented] (SPARK-20055) Documentation for CSV datasets in SQL programming guide

["Dongjoon Hyun (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-20055?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16659125#comment-16659125 ] 

Dongjoon Hyun commented on SPARK-20055:
---------------------------------------

This looks too old. Are we working on this now?

> Documentation for CSV datasets in SQL programming guide
> -------------------------------------------------------
>
>                 Key: SPARK-20055
>                 URL: https://issues.apache.org/jira/browse/SPARK-20055
>             Project: Spark
>          Issue Type: Improvement
>          Components: Documentation
>    Affects Versions: 2.2.0
>            Reporter: Hyukjin Kwon
>            Priority: Major
>
> I guess things commonly used and important are documented there rather than documenting everything and every option in the programming guide - http://spark.apache.org/docs/latest/sql-programming-guide.html.
> It seems JSON datasets http://spark.apache.org/docs/latest/sql-programming-guide.html#json-datasets are documented whereas CSV datasets are not. 
> Nowadays, they are pretty similar in APIs and options. Some options are notable for both, In particular, ones such as {{wholeFile}}. Moreover, several options such as {{inferSchema}} and {{header}} are important in CSV that affect the type/column name of data.
> In that sense, I think we might better document CSV datasets with some examples too because I believe reading CSV is pretty much common use cases.
> Also, I think we could also leave some pointers for options of API documentations for both (rather than duplicating the documentation).
> So, my suggestion is,
> - Add CSV Datasets section.
> - Add links for options for both JSON and CSV that point each API documentation
> - Fix trivial minor fixes together in both sections.



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