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https://issues.apache.org/jira/browse/HIVE-24510?focusedWorklogId=532991&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-532991
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ASF GitHub Bot logged work on HIVE-24510:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 08/Jan/21 12:15
Start Date: 08/Jan/21 12:15
Worklog Time Spent: 10m
Work Description: mustafaiman edited a comment on pull request #1824:
URL: https://github.com/apache/hive/pull/1824#issuecomment-756725412
I made a quick fix to allow that in early versions of this patch. Then I
decided to not pursue it because I did not see the need for allowing constant
argument in runtime.
> you can still do something like:
> if compute_bit_vector: -> handle constant parameter
We do exactly that. Not in vectorizer but earlier in
`ColumnStatsSemanticAnalyzer.java `. I am reluctant to implement extra
functionality or add special cases unless it is necessary. Note that
compute_bit_vector is a newly added UDF in 4.0. So there is no backward
compatibility concern either.
Do you see any other benefit than preserving the earlier q.out outputs?
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Issue Time Tracking
-------------------
Worklog Id: (was: 532991)
Time Spent: 2h 40m (was: 2.5h)
> Vectorize compute_bit_vector
> ----------------------------
>
> Key: HIVE-24510
> URL: https://issues.apache.org/jira/browse/HIVE-24510
> Project: Hive
> Issue Type: Improvement
> Reporter: Mustafa İman
> Assignee: Mustafa İman
> Priority: Major
> Labels: pull-request-available
> Time Spent: 2h 40m
> Remaining Estimate: 0h
>
> After https://issues.apache.org/jira/browse/HIVE-23530 , almost all compute
> stats functions are vectorizable. Only function that is not vectorizable is
> "compute_bit_vector" for ndv statistics computation. This causes "create
> table as select" and "insert overwrite select" queries to run in
> non-vectorized mode.
> Even a very naive implementation of vectorized compute_bit_vector gives about
> 50% performance improvement on simple "insert overwrite select" queries. That
> is because entire mapper or reducer can run in vectorized mode.
>
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