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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (DRILL-4786) Improve metadata cache performance for queries with multiple partitions
Date Thu, 28 Jul 2016 00:25:20 GMT

    [ https://issues.apache.org/jira/browse/DRILL-4786?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15396710#comment-15396710

ASF GitHub Bot commented on DRILL-4786:

Github user asfgit closed the pull request at:


> Improve metadata cache performance for queries with multiple partitions
> -----------------------------------------------------------------------
>                 Key: DRILL-4786
>                 URL: https://issues.apache.org/jira/browse/DRILL-4786
>             Project: Apache Drill
>          Issue Type: Improvement
>          Components: Metadata, Query Planning & Optimization
>    Affects Versions: 1.7.0
>            Reporter: Aman Sinha
>            Assignee: Aman Sinha
> Consider  queries of the following type run against Parquet data with metadata caching:
> {noformat}
> SELECT col FROM `A` WHERE dir0 = 'B`' AND dir1 IN ('1', '2', '3')
> {noformat}
> For such queries, Drill will read the metadata cache file from the top level directory
'A', which is not very efficient since we are only interested in the files  from some subdirectories
of 'B'.   DRILL-4530 improves the performance of such queries when the leaf level directory
is a single partition.  Here, there are 3 subpartitions due to the IN list.   We can build
upon the DRILL-4530 enhancement by at least reading the cache file from the immediate parent
level  `/A/B`  instead of the top level.  
> The goal of this JIRA is to improve performance for such types of queries.  

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