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https://issues.apache.org/jira/browse/DRILL-5795?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Damien Profeta updated DRILL-5795:
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Description:
DRILL-1950 implemented the filter pushdown for parquet file but only in the
case of one rowgroup per parquet file. In the case of multiple rowgroups per
files, it detects that the rowgroup can be pruned but then tell to the drillbit
to read the whole file which leads to performance issue.
Having multiple rowgroup per file helps to handle partitioned dataset and still
read only the relevant subset of data without ending with more file than really
needed.
Let's say for instance you have a Parquet file composed of RG1 and RG2 with
only one column a. Min/max in RG1 are 1-2 and min/max in RG2 are 2-3.
If I do "select a from file where a=3", today it will read the whole file, with
the patch it will only read RG2.
was:
DRILL-1950 implemented the filter pushdown for parquet file but only in the
case of one rowgroup per parquet file. In the case of multiple rowgroups per
files, it detects that the rowgroup can be pruned but then tell to the drillbit
to read the whole file which leads to performance issue.
Having multiple rowgroup per file helps to handle partitioned dataset and still
read only the relevant subset of data without ending with more file than really
needed.
> Filter pushdown for parquet handles multi rowgroup file
> -------------------------------------------------------
>
> Key: DRILL-5795
> URL: https://issues.apache.org/jira/browse/DRILL-5795
> Project: Apache Drill
> Issue Type: Improvement
> Components: Storage - Parquet
> Reporter: Damien Profeta
> Assignee: Damien Profeta
> Labels: doc-impacting
>
> DRILL-1950 implemented the filter pushdown for parquet file but only in the
> case of one rowgroup per parquet file. In the case of multiple rowgroups per
> files, it detects that the rowgroup can be pruned but then tell to the
> drillbit to read the whole file which leads to performance issue.
> Having multiple rowgroup per file helps to handle partitioned dataset and
> still read only the relevant subset of data without ending with more file
> than really needed.
> Let's say for instance you have a Parquet file composed of RG1 and RG2 with
> only one column a. Min/max in RG1 are 1-2 and min/max in RG2 are 2-3.
> If I do "select a from file where a=3", today it will read the whole file,
> with the patch it will only read RG2.
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