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Posted to issues@hive.apache.org by "Gopal V (JIRA)" <ji...@apache.org> on 2015/11/22 08:04:10 UTC

[jira] [Updated] (HIVE-12491) Column Statistics: 3 attribute join on a 2-source table is off

     [ https://issues.apache.org/jira/browse/HIVE-12491?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Gopal V updated HIVE-12491:
---------------------------
    Summary: Column Statistics: 3 attribute join on a 2-source table is off  (was: Statistics: 3 attribute join on a 2-source table is off)

> Column Statistics: 3 attribute join on a 2-source table is off
> --------------------------------------------------------------
>
>                 Key: HIVE-12491
>                 URL: https://issues.apache.org/jira/browse/HIVE-12491
>             Project: Hive
>          Issue Type: Bug
>            Reporter: Gopal V
>            Assignee: Prasanth Jayachandran
>
> The eased out denominator has to detect duplicate row-stats from different attributes.
> {code}
>   private Long getEasedOutDenominator(List<Long> distinctVals) {
>       // Exponential back-off for NDVs.
>       // 1) Descending order sort of NDVs
>       // 2) denominator = NDV1 * (NDV2 ^ (1/2)) * (NDV3 ^ (1/4))) * ....
>       Collections.sort(distinctVals, Collections.reverseOrder());
>       long denom = distinctVals.get(0);
>       for (int i = 1; i < distinctVals.size(); i++) {
>         denom = (long) (denom * Math.pow(distinctVals.get(i), 1.0 / (1 << i)));
>       }
>       return denom;
>     }
> {code}
> This gets {{[8007986, 821974390, 821974390]}}, which is actually 3 columns 2 of which are derived from the same column.
> {code}
>         Reduce Output Operator (RS_12)
>           key expressions: _col0 (type: bigint), year(_col2) (type: int), month(_col2) (type: int)
>           sort order: +++
>           Map-reduce partition columns: _col0 (type: bigint), year(_col2) (type: int), month(_col2) (type: int)
>           value expressions: _col1 (type: bigint)
>           Join Operator (JOIN_13)
>             condition map:
>                  Inner Join 0 to 1
>             keys:
>               0 _col0 (type: bigint), year(_col1) (type: int), month(_col1) (type: int)
>               1 _col0 (type: bigint), year(_col2) (type: int), month(_col2) (type: int)
>             outputColumnNames: _col3
> {code}
> So the eased out denominator is off by a factor of 30,000 or so, causing OOMs in map-joins.



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