[jira] [Commented] (HIVE-7158) Use Tez auto-parallelism in Hive

["Lefty Leverenz (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/HIVE-7158?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14205609#comment-14205609 ] 

Lefty Leverenz commented on HIVE-7158:
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Doc note:  The new defaults for *hive.exec.reducers.bytes.per.reducer* and *hive.exec.reducers.max* were reverted accidentally by HIVE-6037, so they were reapplied in HIVE-7917 to match this patch.

Question (ping):  Does this need any documentation besides the configuration parameters?

> Use Tez auto-parallelism in Hive
> --------------------------------
>
>                 Key: HIVE-7158
>                 URL: https://issues.apache.org/jira/browse/HIVE-7158
>             Project: Hive
>          Issue Type: New Feature
>            Reporter: Gunther Hagleitner
>            Assignee: Gunther Hagleitner
>              Labels: TODOC14
>             Fix For: 0.14.0
>
>         Attachments: HIVE-7158.1.patch, HIVE-7158.2.patch, HIVE-7158.3.patch, HIVE-7158.4.patch, HIVE-7158.5.patch
>
>
> Tez can optionally sample data from a fraction of the tasks of a vertex and use that information to choose the number of downstream tasks for any given scatter gather edge.
> Hive estimates the count of reducers by looking at stats and estimates for each operator in the operator pipeline leading up to the reducer. However, if this estimate turns out to be too large, Tez can reign in the resources used to compute the reducer.
> It does so by combining partitions of the upstream vertex. It cannot, however, add reducers at this stage.
> I'm proposing to let users specify whether they want to use auto-parallelism or not. If they do there will be scaling factors to determine max and min reducers Tez can choose from. We will then partition by max reducers, letting Tez sample and reign in the count up until the specified min.



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