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https://issues.apache.org/jira/browse/HIVE-4961?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13769044#comment-13769044
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Ashutosh Chauhan commented on HIVE-4961:
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hcatalog tests are flaky and we can ignore them. But, none of hive tests fail 
in trunk. Its not likely related to your patch though. I have seen {{input4.q}} 
and {{plan_json.q}} to fail consistently only on vectorization branch, so they 
need to be debugged on branch. orc tests I am not sure, but if they fail 
regardless of patch, I think this patch is good to go. 
                
> Create bridge for custom UDFs to operate in vectorized mode
> -----------------------------------------------------------
>
>                 Key: HIVE-4961
>                 URL: https://issues.apache.org/jira/browse/HIVE-4961
>             Project: Hive
>          Issue Type: Sub-task
>    Affects Versions: vectorization-branch
>            Reporter: Eric Hanson
>            Assignee: Eric Hanson
>             Fix For: vectorization-branch
>
>         Attachments: HIVE-4961.1-vectorization.patch, 
> HIVE-4961.2-vectorization.patch, HIVE-4961.3-vectorization.patch, 
> vectorUDF.4.patch, vectorUDF.5.patch, vectorUDF.8.patch, vectorUDF.9.patch
>
>
> Suppose you have a custom UDF myUDF() that you've created to extend hive. The 
> goal of this JIRA is to create a facility where if you run a query that uses 
> myUDF() in an expression, the query will run in vectorized mode.
> This would be a general-purpose bridge for custom UDFs that users add to 
> Hive. It would work with existing UDFs.
> I'm considering a separate JIRA for a new kind of custom UDF implementation 
> that is vectorized from the beginning, to optimize performance. That is not 
> covered by this JIRA.

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