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From "Hive QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-9188) BloomFilter in ORC row group index
Date Fri, 30 Jan 2015 13:48:35 GMT

    [ https://issues.apache.org/jira/browse/HIVE-9188?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14298628#comment-14298628
] 

Hive QA commented on HIVE-9188:
-------------------------------



{color:red}Overall{color}: -1 at least one tests failed

Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12695438/HIVE-9188.6.patch

{color:red}ERROR:{color} -1 due to 2 failed/errored test(s), 7435 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_index_auto_mult_tables
org.apache.hive.hcatalog.templeton.TestWebHCatE2e.getHiveVersion
{noformat}

Test results: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/2584/testReport
Console output: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/2584/console
Test logs: http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-TRUNK-Build-2584/

Messages:
{noformat}
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 2 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12695438 - PreCommit-HIVE-TRUNK-Build

> BloomFilter in ORC row group index
> ----------------------------------
>
>                 Key: HIVE-9188
>                 URL: https://issues.apache.org/jira/browse/HIVE-9188
>             Project: Hive
>          Issue Type: New Feature
>          Components: File Formats
>    Affects Versions: 0.15.0
>            Reporter: Prasanth Jayachandran
>            Assignee: Prasanth Jayachandran
>              Labels: orcfile
>         Attachments: HIVE-9188.1.patch, HIVE-9188.2.patch, HIVE-9188.3.patch, HIVE-9188.4.patch,
HIVE-9188.5.patch, HIVE-9188.6.patch
>
>
> BloomFilters are well known probabilistic data structure for set membership checking.
We can use bloom filters in ORC index for better row group pruning. Currently, ORC row group
index uses min/max statistics to eliminate row groups (stripes as well) that do not satisfy
predicate condition specified in the query. But in some cases, the efficiency of min/max based
elimination is not optimal (unsorted columns with wide range of entries). Bloom filters can
be an effective and efficient alternative for row group/split elimination for point queries
or queries with IN clause.



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