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From "Siying Dong (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HIVE-1638) convert commonly used udfs to generic udfs
Date Wed, 29 Sep 2010 20:08:35 GMT

    [ https://issues.apache.org/jira/browse/HIVE-1638?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12916274#action_12916274
] 

Siying Dong commented on HIVE-1638:
-----------------------------------

Vladimir, it is a small test cluster with around 8 machines and each of them have 8 cores.
The query latency is not hours. Input split size determines the number of mappers and influence
query latency. The input split size is configurable through some parameters. For default size
in our production cluster, those sample queries usually take minutes to finish.

In the queries above, I set the split size to be a number that mapper usually take between
10-20 minutes, which is kind of ideal size for non-interactive queries. It doesn't represent
any production query.

> convert commonly used udfs to generic udfs
> ------------------------------------------
>
>                 Key: HIVE-1638
>                 URL: https://issues.apache.org/jira/browse/HIVE-1638
>             Project: Hadoop Hive
>          Issue Type: Improvement
>          Components: Query Processor
>            Reporter: Namit Jain
>            Assignee: Siying Dong
>         Attachments: HIVE-1638.1.patch
>
>
> Copying a mail from Joy:
> i did a little bit of profiling of a simple hive group by query today. i was surprised
to see that one of the most expensive functions were in converting the equals udf (i had some
simple string filters) to generic udfs. (primitiveobjectinspectorconverter.textconverter)
> am i correct in thinking that the fix is to simply port some of the most popular udfs
(string equality/comparison etc.) to generic udsf?

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