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From "HBase Review Board (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HIVE-1361) table/partition level statistics
Date Fri, 17 Sep 2010 23:43:33 GMT

    [ https://issues.apache.org/jira/browse/HIVE-1361?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12910851#action_12910851

HBase Review Board commented on HIVE-1361:

Message from: "namit jain" <njain@facebook.com>

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    This code seems useless


    How are you accounting for speculative 
    execution ?
    Can 2 tasks insert the entry ?


    It might be a good idea to make it easy 
    to add new stats. Right now, you will need
    to fix code in multiple places.
    Instead of hard-coding nRowsInTable, it
    would be good to keep an array of stats
    we are publishing in a central place


    This (addOutputs()) should be done at 
    compile time


    Most of these parameters need not be 
    instance variables - have a new function
    where these are defined


    Can you add publishStats in Utilities and
    let TableScan and FileSink share it


    I am assuming these red blocks mean TABs




    Do we need to lock the row ?
    use a SELECT FOR UPDATE instead of

- namit

> table/partition level statistics
> --------------------------------
>                 Key: HIVE-1361
>                 URL: https://issues.apache.org/jira/browse/HIVE-1361
>             Project: Hadoop Hive
>          Issue Type: Sub-task
>          Components: Query Processor
>            Reporter: Ning Zhang
>            Assignee: Ahmed M Aly
>             Fix For: 0.7.0
>         Attachments: HIVE-1361.java_only.patch, HIVE-1361.patch, stats0.patch
> At the first step, we gather table-level stats for non-partitioned table and partition-level
stats for partitioned table. Future work could extend the table level stats to partitioned
table as well. 
> There are 3 major milestones in this subtask: 
>  1) extend the insert statement to gather table/partition level stats on-the-fly.
>  2) extend metastore API to support storing and retrieving stats for a particular table/partition.

>  3) add an ANALYZE TABLE [PARTITION] statement in Hive QL to gather stats for existing
> The proposed stats are:
> Partition-level stats: 
>   - number of rows
>   - total size in bytes
>   - number of files
>   - max, min, average row sizes
>   - max, min, average file sizes
> Table-level stats in addition to partition level stats:
>   - number of partitions

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