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Posted to issues@hive.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2020/07/19 07:10:00 UTC
[jira] [Work logged] (HIVE-23877) Hive on Spark incorrect partition
pruning ANALYZE TABLE
[ https://issues.apache.org/jira/browse/HIVE-23877?focusedWorklogId=460789&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-460789 ]
ASF GitHub Bot logged work on HIVE-23877:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 19/Jul/20 07:09
Start Date: 19/Jul/20 07:09
Worklog Time Spent: 10m
Work Description: fornaix opened a new pull request #1278:
URL: https://github.com/apache/hive/pull/1278
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Issue Time Tracking
-------------------
Worklog Id: (was: 460789)
Remaining Estimate: 0h
Time Spent: 10m
> Hive on Spark incorrect partition pruning ANALYZE TABLE
> -------------------------------------------------------
>
> Key: HIVE-23877
> URL: https://issues.apache.org/jira/browse/HIVE-23877
> Project: Hive
> Issue Type: Bug
> Reporter: Han
> Assignee: Han
> Priority: Major
> Time Spent: 10m
> Remaining Estimate: 0h
>
> Partitions are pruned based on the partition specification in ANALYZE TABLE command and cached in TableSpec.
> When compiling, It's unnecessary to use PartitionPruner.prune() to get partitions again. And PartitionPruner can not prune partitions for ANALYZE TABLE command, so it will get all partitions.
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