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https://issues.apache.org/jira/browse/HIVE-26629?focusedWorklogId=820300&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-820300
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ASF GitHub Bot logged work on HIVE-26629:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 26/Oct/22 01:57
Start Date: 26/Oct/22 01:57
Worklog Time Spent: 10m
Work Description: saihemanth-cloudera merged PR #3693:
URL: https://github.com/apache/hive/pull/3693
Issue Time Tracking
-------------------
Worklog Id: (was: 820300)
Time Spent: 40m (was: 0.5h)
> Misleading error message with hive.metastore.limit.partition.request
> ---------------------------------------------------------------------
>
> Key: HIVE-26629
> URL: https://issues.apache.org/jira/browse/HIVE-26629
> Project: Hive
> Issue Type: Bug
> Components: HiveServer2, Metastore
> Reporter: Miklos Szurap
> Priority: Major
> Labels: pull-request-available
> Time Spent: 40m
> Remaining Estimate: 0h
>
> Dropping partitions from a table fails with a misleading error message saying
> that "partition not found":
> {code}
> 0: jdbc:hive2://nightly-71x-zx-1.nightly-71x-> alter table t1p drop partition
> (p1>0);
> Error: Error while compiling statement: FAILED: SemanticException [Error
> 10006]: Partition not found (p1 > 0) (state=42000,code=10006)
> {code}
> however the partitions exist, the real error message is visible in the
> HiveServer2 logs:
> {code}
> Caused by: MetaException(message:Number of partitions scanned (=2) on table
> 't1p' exceeds limit (=1). This is controlled on the metastore server by
> hive.metastore.limit.partition.request.)
> at
> org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$get_partitions_by_expr_result$get_partitions_by_expr_resultStandardScheme.read(ThriftHiveMetastore.java)
>
> ...
> {code}
> Hive should surface the real error message to the user, that the
> "hive.metastore.limit.partition.request" limit has been reached.
> This happens only when "hive.metastore.limit.partition.request" is set.
> Haven't verified other types of queries, potentially other queries fail
> similarly.
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