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

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-17310?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-17310:
------------------------------------

    Assignee: Apache Spark

> 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
>            Assignee: Apache Spark
>
> 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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