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From "Miroslav Holubec (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (DRILL-4601) Partitioning based on the parquet statistics
Date Wed, 13 Apr 2016 08:39:25 GMT

     [ https://issues.apache.org/jira/browse/DRILL-4601?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel

Miroslav Holubec updated DRILL-4601:
    Attachment: DRILL-4601.1.patch

> Partitioning based on the parquet statistics
> --------------------------------------------
>                 Key: DRILL-4601
>                 URL: https://issues.apache.org/jira/browse/DRILL-4601
>             Project: Apache Drill
>          Issue Type: Improvement
>          Components: Query Planning & Optimization
>            Reporter: Miroslav Holubec
>              Labels: parquet, partitioning, planning, statistics
>         Attachments: DRILL-4601.1.patch
> It can really help performance to extend current partitioning idea implemented in DRILL-3333
even further.
> Currently partitioning is based on statistics, when min value equals to max value for
whole file. Based on this files are removed from scan in planning phase. Problem with this
is, that it leads to many small parquet files, which is not fine in HDFS world. Also only
few columns are partitioned.
> I would like to extend this idea to use all statistics for all columns. So if value should
equal to constant, remove all files from plan which have statistics off. This will really
help performance for scans over many parquet files.
> I have initial patch ready, currently just to give an idea (it is reusing metadata v2)

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