You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Yin Huai (JIRA)" <ji...@apache.org> on 2015/08/21 05:42:45 UTC
[jira] [Comment Edited] (SPARK-10146) Have an easy way to set data
source reader/writer specific confs
[ https://issues.apache.org/jira/browse/SPARK-10146?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14706205#comment-14706205 ]
Yin Huai edited comment on SPARK-10146 at 8/21/15 3:42 AM:
-----------------------------------------------------------
One possible way is that every data source defines a list of confs that can be applied to its reader/writer and we let users set those confs in SQLConf or through data source options. Then, we propagate those confs to the reader/writer.
was (Author: yhuai):
One possible way to do it is that every data source defines a list of confs that can be applied to its reader/writer and we let users set those confs in SQLConf or through data source options. Then, we propagate those confs to the reader/writer.
> Have an easy way to set data source reader/writer specific confs
> ----------------------------------------------------------------
>
> Key: SPARK-10146
> URL: https://issues.apache.org/jira/browse/SPARK-10146
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: Yin Huai
> Priority: Critical
>
> Right now, it is hard to set data source reader/writer specifics confs correctly (e.g. parquet's row group size). Users need to set those confs in hadoop conf before start the application or through {{org.apache.spark.deploy.SparkHadoopUtil.get.conf}} at runtime. It will be great if we can have an easy to set those confs.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org