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https://issues.apache.org/jira/browse/HIVE-22239?focusedWorklogId=324948&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-324948
]
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_r332358389
##########
File path: ql/src/java/org/apache/hadoop/hive/ql/stats/StatsUtils.java
##########
@@ -935,8 +942,11 @@ else
if(colTypeLowerCase.equals(serdeConstants.SMALLINT_TYPE_NAME)){
cs.setNumTrues(Math.max(1, numRows/2));
cs.setNumFalses(Math.max(1, numRows/2));
cs.setAvgColLen(JavaDataModel.get().primitive1());
- } else if (colTypeLowerCase.equals(serdeConstants.TIMESTAMP_TYPE_NAME) ||
- colTypeLowerCase.equals(serdeConstants.TIMESTAMPLOCALTZ_TYPE_NAME)) {
+ } else if (colTypeLowerCase.equals(serdeConstants.TIMESTAMP_TYPE_NAME)) {
+ cs.setAvgColLen(JavaDataModel.get().lengthOfTimestamp());
+ // epoch, seconds since epoch
+ cs.setRange(0, 2177452799L);
Review comment:
not 100% sure about this; but I think the minvalue should not be 0; or we
may optimize away pre 1970 filter conditions
and why it's exactly 217745799 :) I might be missing some context...
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Issue Time Tracking
-------------------
Worklog Id: (was: 324948)
Time Spent: 1h 20m (was: 1h 10m)
> 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: 1h 20m
> 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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