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https://issues.apache.org/jira/browse/HIVE-24664?focusedWorklogId=544105&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-544105
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ASF GitHub Bot logged work on HIVE-24664:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 29/Jan/21 08:17
Start Date: 29/Jan/21 08:17
Worklog Time Spent: 10m
Work Description: kasakrisz commented on a change in pull request #1892:
URL: https://github.com/apache/hive/pull/1892#discussion_r566647559
##########
File path:
itests/hive-blobstore/src/test/results/clientpositive/insert_into_dynamic_partitions.q.out
##########
@@ -100,7 +100,7 @@ STAGE PLANS:
Statistics: Num rows: 1 Data size: 10 Basic stats: COMPLETE Column
stats: COMPLETE
GatherStats: false
Select Operator
- expressions: array(const struct(1,'101'),const
struct(2,'202'),const struct(3,'303'),const struct(4,'404'),const
struct(5,'505')) (type: array<struct<col1:int,col2:string>>)
+ expressions:
array(named_struct('col1',1,'col2','101'),named_struct('col1',2,'col2','202'),named_struct('col1',3,'col2','303'),named_struct('col1',4,'col2','404'),named_struct('col1',5,'col2','505'))
(type: array<struct<col1:int,col2:string>>)
Review comment:
Added an alternative branch to parser rule `valuesTableConstructor`: if
there are no alias in the values clause at all go on the old path
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Issue Time Tracking
-------------------
Worklog Id: (was: 544105)
Time Spent: 1h 20m (was: 1h 10m)
> Support column aliases in Values clause
> ---------------------------------------
>
> Key: HIVE-24664
> URL: https://issues.apache.org/jira/browse/HIVE-24664
> Project: Hive
> Issue Type: Improvement
> Reporter: Krisztian Kasa
> Assignee: Krisztian Kasa
> Priority: Major
> Labels: pull-request-available
> Time Spent: 1h 20m
> Remaining Estimate: 0h
>
> Enable explicitly specify column aliases in the first row of Values clause.
> If not all the columns has alias specified generate one.
> {code:java}
> values(1, 2 b, 3 c),(4, 5, 6);
> {code}
> {code:java}
> _col1 b c
> 1 2 3
> 4 5 6
> {code}
> This is not an standard SQL feature but some database engines like Impala
> supports it.
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