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https://issues.apache.org/jira/browse/HIVE-25325?focusedWorklogId=622928&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-622928
]
ASF GitHub Bot logged work on HIVE-25325:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 15/Jul/21 09:14
Start Date: 15/Jul/21 09:14
Worklog Time Spent: 10m
Work Description: pvary commented on a change in pull request #2471:
URL: https://github.com/apache/hive/pull/2471#discussion_r670284586
##########
File path:
iceberg/iceberg-handler/src/test/queries/positive/truncate_force_iceberg_table.q
##########
@@ -0,0 +1,20 @@
+set hive.vectorized.execution.enabled=false;
+
+drop table if exists test_truncate;
+create external table test_truncate (id int, value string) stored by iceberg
stored as parquet;
+alter table test_truncate set tblproperties('external.table.purge'='false');
+insert into test_truncate values (1,
'one'),(2,'two'),(3,'three'),(4,'four'),(5,'five');
+insert into test_truncate values (6, 'six'), (7, 'seven');
+insert into test_truncate values (8, 'eight'), (9, 'nine'), (10, 'ten');
+analyze table test_truncate compute statistics;
+
+select * from test_truncate order by id;
Review comment:
Question: I remember that once upon a time we replaced all of the `order
by` statements in the queries to some QTestUtil construct to save on the
execution time of the queries. Do I remember correctly? Would it be relevant
here? If so, I could try to remember what was needed in the `.q` file to short
the output.
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Issue Time Tracking
-------------------
Worklog Id: (was: 622928)
Time Spent: 0.5h (was: 20m)
> Add TRUNCATE TABLE support for Hive Iceberg tables
> --------------------------------------------------
>
> Key: HIVE-25325
> URL: https://issues.apache.org/jira/browse/HIVE-25325
> Project: Hive
> Issue Type: Improvement
> Reporter: Marta Kuczora
> Assignee: Marta Kuczora
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.0.0
>
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> Implement the TRUNCATE operation for Hive Iceberg tables. Since these tables
> are unpartitioned in Hive, only the truncate unpartitioned table use case has
> to be supported.
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