[ 
https://issues.apache.org/jira/browse/HIVE-22239?focusedWorklogId=326799&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-326799
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ASF GitHub Bot logged work on HIVE-22239:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 11/Oct/19 09:00
            Start Date: 11/Oct/19 09:00
    Worklog Time Spent: 10m 
      Work Description: kgyrtkirk commented on pull request #787: HIVE-22239
URL: https://github.com/apache/hive/pull/787#discussion_r333889584
 
 

 ##########
 File path: 
ql/src/java/org/apache/hadoop/hive/ql/optimizer/stats/annotation/StatsRulesProcFactory.java
 ##########
 @@ -1946,6 +2022,8 @@ public Object process(Node nd, Stack<Node> stack, 
NodeProcessorCtx procCtx,
             pred = jop.getConf().getResidualFilterExprs().get(0);
           }
           // evaluate filter expression and update statistics
+          final boolean uniformWithinRange = HiveConf.getBoolVar(
 
 Review comment:
   unused varibale (remove before committing)
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 326799)
    Time Spent: 4h 40m  (was: 4.5h)

> Scale data size using column value ranges
> -----------------------------------------
>
>                 Key: HIVE-22239
>                 URL: https://issues.apache.org/jira/browse/HIVE-22239
>             Project: Hive
>          Issue Type: Improvement
>          Components: Physical Optimizer
>            Reporter: Jesus Camacho Rodriguez
>            Assignee: Jesus Camacho Rodriguez
>            Priority: Major
>              Labels: pull-request-available
>         Attachments: HIVE-22239.01.patch, HIVE-22239.02.patch, 
> HIVE-22239.03.patch, HIVE-22239.04.patch, HIVE-22239.04.patch, 
> HIVE-22239.05.patch, HIVE-22239.05.patch, HIVE-22239.patch
>
>          Time Spent: 4h 40m
>  Remaining Estimate: 0h
>
> Currently, min/max values for columns are only used to determine whether a 
> certain range filter falls out of range and thus filters all rows or none at 
> all. If it does not, we just use a heuristic that the condition will filter 
> 1/3 of the input rows. Instead of using that heuristic, we can use another 
> one that assumes that data will be uniformly distributed across that range, 
> and calculate the selectivity for the condition accordingly.



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