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https://issues.apache.org/jira/browse/SPARK-31212?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17064017#comment-17064017
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Maxim Gekk commented on SPARK-31212:
------------------------------------
The isLeapYear() function in 2.4 assumes Proleptic Gregorian calendar:
https://github.com/apache/spark/blob/branch-2.4/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeUtils.scala#L600-L602
but actually Spark 2.4 is based on the hybrid calendar Julian+Gregorian as we
can see at
https://github.com/apache/spark/blob/branch-2.4/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeUtils.scala#L513-L517
It means the following functions in DateTimeUtils return incorrect results for
dates before Gregorian cutover days:
# getQuarter
# splitDate
# getMonth
# getDayOfMonth
# firstDayOfMonth
# dateAddMonths
# stringToTimestamp
# stringToDate
# monthsBetween
# getLastDayOfMonth
/cc [~cloud_fan] [~hyukjin.kwon]
> Failure of casting the '1000-02-29' string to the date type
> -----------------------------------------------------------
>
> Key: SPARK-31212
> URL: https://issues.apache.org/jira/browse/SPARK-31212
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.5
> Reporter: Maxim Gekk
> Priority: Major
>
> The '1000-02-29' is valid date in the Julian calendar used in Spark 2.4.5 for
> dates before 1582-10-15 but casting the string to the date type fails:
> {code:scala}
> scala> val df =
> Seq("1000-02-29").toDF("dateS").select($"dateS".cast("date").as("date"))
> df: org.apache.spark.sql.DataFrame = [date: date]
> scala> df.show
> +----+
> |date|
> +----+
> |null|
> +----+
> {code}
> Creating a dataset from java.sql.Date w/ the same input string works
> correctly:
> {code:scala}
> scala> val df2 =
> Seq(java.sql.Date.valueOf("1000-02-29")).toDF("dateS").select($"dateS".as("date"))
> df2: org.apache.spark.sql.DataFrame = [date: date]
> scala> df2.show
> +----------+
> | date|
> +----------+
> |1000-02-29|
> +----------+
> {code}
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