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https://issues.apache.org/jira/browse/SPARK-10146?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14706205#comment-14706205
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Yin Huai commented on SPARK-10146:
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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.
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