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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2016/08/30 10:01:20 UTC

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

Hyukjin Kwon created SPARK-17310:
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             Summary: 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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