[jira] [Commented] (SPARK-17310) Disable Parquet's record-by-record filter in normal parquet reader and do it in Spark-side

["Andrew Duffy (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-17310?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15448672#comment-15448672 ] 

Andrew Duffy commented on SPARK-17310:
--------------------------------------

+1 to this, see comments on https://github.com/apache/spark/pull/14671, particularly rdblue's comment. We need to wait for next release of Parquet to be able to be able to set {{parquet.filter.record-level.enabled}} config

> Disable Parquet's record-by-record filter in normal parquet reader and do it in Spark-side
> ------------------------------------------------------------------------------------------
>
>                 Key: SPARK-17310
>                 URL: https://issues.apache.org/jira/browse/SPARK-17310
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.0.0
>            Reporter: Hyukjin Kwon
>
> Currently, we are pushing filters down for normal Parquet reader which also filters record-by-record.
> It seems Spark-side codegen row-by-row filtering might be faster than Parquet's one in general due to type-boxing and virtual function calls which Spark's one tries to avoid.
> Maybe we should perform a benchmark and disable this. This ticket was from https://github.com/apache/spark/pull/14671
> Please refer the discussion in the PR.



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