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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/02/08 00:24:00 UTC
[jira] [Assigned] (SPARK-38133) Grouping by timestamp_ntz will sometimes corrupt the results
[ https://issues.apache.org/jira/browse/SPARK-38133?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-38133:
------------------------------------
Assignee: Apache Spark
> Grouping by timestamp_ntz will sometimes corrupt the results
> ------------------------------------------------------------
>
> Key: SPARK-38133
> URL: https://issues.apache.org/jira/browse/SPARK-38133
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.3.0
> Reporter: Bruce Robbins
> Assignee: Apache Spark
> Priority: Major
> Labels: correctness
>
> Assume this data:
> {noformat}
> create or replace temp view v1 as
> select * from values
> (1, timestamp_ntz'2012-01-01 00:00:00', 10000),
> (2, timestamp_ntz'2012-01-01 00:00:00', 20000),
> (1, timestamp_ntz'2012-01-01 00:00:00', 5000),
> (1, timestamp_ntz'2013-01-01 00:00:00', 48000),
> (2, timestamp_ntz'2013-01-01 00:00:00', 30000)
> as data(a, b, c);
> {noformat}
> Run the following query:
> {noformat}
> select *
> from v1
> pivot (
> sum(c)
> for a in (1, 2)
> );
> {noformat}
> You get incorrect results for the group-by column:
> {noformat}
> 2012-01-01 19:05:19.476736 15000 20000
> 2013-01-01 19:05:19.476736 48000 30000
> Time taken: 2.65 seconds, Fetched 2 row(s)
> {noformat}
> Actually, _whenever_ the TungstenAggregationIterator is used to group by a timestamp_ntz column, you get incorrect results:
> {noformat}
> set spark.sql.codegen.wholeStage=false;
> select a, b, sum(c) from v1 group by a, b;
> {noformat}
> This query produces
> {noformat}
> 2 2012-01-01 09:32:39.738368 20000
> 1 2013-01-01 09:32:39.738368 48000
> 2 2013-01-01 09:32:39.738368 30000
> Time taken: 1.927 seconds, Fetched 4 row(s)
> {noformat}
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