You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@hive.apache.org by "Sergey Shelukhin (JIRA)" <ji...@apache.org> on 2014/03/14 19:22:48 UTC

[jira] [Updated] (HIVE-6157) Fetching column stats slower than the 101 during rush hour

     [ https://issues.apache.org/jira/browse/HIVE-6157?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sergey Shelukhin updated HIVE-6157:
-----------------------------------

    Fix Version/s: 0.13.0

> Fetching column stats slower than the 101 during rush hour
> ----------------------------------------------------------
>
>                 Key: HIVE-6157
>                 URL: https://issues.apache.org/jira/browse/HIVE-6157
>             Project: Hive
>          Issue Type: Bug
>    Affects Versions: 0.13.0
>            Reporter: Gunther Hagleitner
>            Assignee: Sergey Shelukhin
>             Fix For: 0.13.0
>
>         Attachments: HIVE-6157.01.patch, HIVE-6157.01.patch, HIVE-6157.03.patch, HIVE-6157.03.patch, HIVE-6157.nogen.patch, HIVE-6157.nogen.patch, HIVE-6157.prelim.patch
>
>
> "hive.stats.fetch.column.stats" controls whether the column stats for a table are fetched during explain (in Tez: during query planning). On my setup (1 table 4000 partitions, 24 columns) the time spent in semantic analyze goes from ~1 second to ~66 seconds when turning the flag on. 65 seconds spent fetching column stats...
> The reason is probably that the APIs force you to make separate metastore calls for each column in each partition. That's probably the first thing that has to change. The question is if in addition to that we need to cache this in the client or store the stats as a single blob in the database to further cut down on the time. However, the way it stands right now column stats seem unusable.



--
This message was sent by Atlassian JIRA
(v6.2#6252)