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Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2020/03/16 22:55:04 UTC

[jira] [Updated] (SPARK-29171) Performance regression in Parquet MR on scans of 100 columns

     [ https://issues.apache.org/jira/browse/SPARK-29171?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dongjoon Hyun updated SPARK-29171:
----------------------------------
    Affects Version/s:     (was: 3.0.0)
                       3.1.0

> Performance regression in Parquet MR on scans of 100 columns
> ------------------------------------------------------------
>
>                 Key: SPARK-29171
>                 URL: https://issues.apache.org/jira/browse/SPARK-29171
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 3.1.0
>            Reporter: Maxim Gekk
>            Priority: Major
>
> The updated benchmark results show performance regression *more than 4 times* in Parquet MR on scanning 100 columns, see [https://github.com/apache/spark/pull/25828/files#diff-e37c3433287c7371ff9c2404db821095R248] . Need to find out the root cause of this and fix it.
> Old results:
> {code}
> Single Column Scan from 100 columns:     Best/Avg Time(ms)    Rate(M/s)   Per Row(ns)   Relative
> SQL Parquet MR                                 275 /  286          3.8         262.3      49.0X
> {code}
> New results:
> {code}
> Single Column Scan from 100 columns:      Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
> SQL Parquet MR                                     1209           1213           5          0.9        1153.1      12.2X
> {code} 



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