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https://issues.apache.org/jira/browse/SPARK-37544?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-37544:
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Assignee: (was: Apache Spark)
> sequence over dates with month interval is producing incorrect results
> ----------------------------------------------------------------------
>
> Key: SPARK-37544
> URL: https://issues.apache.org/jira/browse/SPARK-37544
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.1.1, 3.2.0
> Environment: Ubuntu 20, OSX 11.6
> OpenJDK 11, Spark 3.2
> Reporter: Vsevolod Ostapenko
> Priority: Major
>
> Sequence function with dates and step interval in months producing unexpected
> results.
> Here is a sample using Spark 3.2 (though the behavior is the same in 3.1.1
> and presumably earlier):
> {{scala> spark.sql("select sequence(date '2021-01-01', date '2022-01-01',
> interval '3' month) x, date '2021-01-01' + interval '3' month y").collect()}}
> {{res1: Array[org.apache.spark.sql.Row] = Array([WrappedArray(2021-01-01,
> {color:#FF0000}*2021-03-31, 2021-06-30, 2021-09-30,*
> {color}{color:#172b4d}2022-01-01{color}),2021-04-01])}}
> Expected result of adding 3 months to the 2021-01-01 is 2021-04-01, while
> sequence returns 2021-03-31.
> At the same time sequence over timestamps works as expected:
> {{scala> spark.sql("select sequence(timestamp '2021-01-01 00:00', timestamp
> '2022-01-01 00:00', interval '3' month) x").collect()}}
> {{res2: Array[org.apache.spark.sql.Row] = Array([WrappedArray(2021-01-01
> 00:00:00.0, *2021-04-01* 00:00:00.0, *2021-07-01* 00:00:00.0, *2021-10-01*
> 00:00:00.0, 2022-01-01 00:00:00.0)])}}
>
> A similar issue was reported in the past - [SPARK-31654] sequence producing
> inconsistent intervals for month step - ASF JIRA (apache.org)
> It's marked resolved, but the problem is either resurfaced or was never
> actually fixed.
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