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From "Hyukjin Kwon (JIRA)" <j...@apache.org>
Subject [jira] [Comment Edited] (SPARK-12307) ParquetFormat options should be exposed through the DataFrameReader/Writer options API
Date Tue, 15 Dec 2015 00:40:46 GMT

    [ https://issues.apache.org/jira/browse/SPARK-12307?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15057067#comment-15057067
] 

Hyukjin Kwon edited comment on SPARK-12307 at 12/15/15 12:40 AM:
-----------------------------------------------------------------

Just my personal thought. I felt in the same way with this issue before but I ended up with
not creating this issue because options would be too many. I mean, there are many options
omitted, for example, the options for ORC, Parquet writer version, Parquet metadata and etc.

I agree that it is a good idea to add some options like this but we might need to choose some
of important options to expose by a certain condition to decide to add them.


was (Author: hyukjin.kwon):
Just my personal though. I felt in the same way with this issue before but I ended up with
not creating this issue because options would be too many. I mean, there are many options
omitted, for example, the options for ORC, Parquet writer version, Parquet metadata and etc.

I agree that it is a good idea to add some options like this but we might need to choose some
of important options to expose by a certain condition to decide to add them.

> ParquetFormat options should be exposed through the DataFrameReader/Writer options API
> --------------------------------------------------------------------------------------
>
>                 Key: SPARK-12307
>                 URL: https://issues.apache.org/jira/browse/SPARK-12307
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>            Reporter: holdenk
>            Priority: Trivial
>
> Currently many options for loading/saving Parquet need to be set globally on the SparkContext.
It would be useful to also provide support for setting these options through the DataFrameReader/DataFrameWriter.



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