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https://issues.apache.org/jira/browse/HIVE-22239?focusedWorklogId=324941&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-324941
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ASF GitHub Bot logged work on HIVE-22239:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 08/Oct/19 08:47
Start Date: 08/Oct/19 08:47
Worklog Time Spent: 10m
Work Description: kgyrtkirk commented on pull request #787: HIVE-22239
URL: https://github.com/apache/hive/pull/787#discussion_r332365302
##########
File path:
ql/src/test/results/clientpositive/llap/retry_failure_stat_changes.q.out
##########
@@ -139,25 +139,25 @@ Stage-0
PARTITION_ONLY_SHUFFLE [RS_12]
Group By Operator [GBY_11] (rows=1/1 width=8)
Output:["_col0"],aggregations:["sum(_col0)"]
- Select Operator [SEL_9] (rows=1/3 width=8)
+ Select Operator [SEL_9] (rows=4/3 width=8)
Output:["_col0"]
- Merge Join Operator [MERGEJOIN_30] (rows=1/3 width=8)
+ Merge Join Operator [MERGEJOIN_30] (rows=4/3 width=8)
Conds:RS_6._col0=RS_7._col0(Inner),Output:["_col0","_col1"]
<-Map 1 [SIMPLE_EDGE] llap
SHUFFLE [RS_6]
PartitionCols:_col0
- Select Operator [SEL_2] (rows=1/5 width=4)
+ Select Operator [SEL_2] (rows=7/5 width=4)
Output:["_col0"]
- Filter Operator [FIL_18] (rows=1/5 width=4)
+ Filter Operator [FIL_18] (rows=7/5 width=4)
Review comment:
there was a "by-design" underestimation in this testcase...now we have good
estimate :)
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Issue Time Tracking
-------------------
Worklog Id: (was: 324941)
Time Spent: 40m (was: 0.5h)
> 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.patch
>
> Time Spent: 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.
> This patch also includes the propagation of min/max column values from
> statistics to the optimizer for timestamp type.
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