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https://issues.apache.org/jira/browse/SPARK-38534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17505219#comment-17505219
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Apache Spark commented on SPARK-38534:
--------------------------------------

User 'dongjoon-hyun' has created a pull request for this issue:
https://github.com/apache/spark/pull/35825

> Flaky Test: ansi/datetime-parsing-invalid.sql
> ---------------------------------------------
>
>                 Key: SPARK-38534
>                 URL: https://issues.apache.org/jira/browse/SPARK-38534
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL, Tests
>    Affects Versions: 3.3.0
>            Reporter: Dongjoon Hyun
>            Priority: Major
>
> **Java 8**
> {code}
> $ bin/spark-shell --conf spark.sql.ansi.enabled=true
> Setting default log level to "WARN".
> To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use 
> setLogLevel(newLevel).
> 22/03/12 00:59:31 WARN NativeCodeLoader: Unable to load native-hadoop library 
> for your platform... using builtin-java classes where applicable
> Spark context Web UI available at http://172.16.0.31:4040
> Spark context available as 'sc' (master = local[*], app id = 
> local-1647075572229).
> Spark session available as 'spark'.
> Welcome to
>       ____              __
>      / __/__  ___ _____/ /__
>     _\ \/ _ \/ _ `/ __/  '_/
>    /___/ .__/\_,_/_/ /_/\_\   version 3.3.0-SNAPSHOT
>       /_/
> Using Scala version 2.12.15 (OpenJDK 64-Bit Server VM, Java 1.8.0_322)
> Type in expressions to have them evaluated.
> Type :help for more information.
> scala> sql("select to_timestamp('366', 'DD')").show
> java.time.format.DateTimeParseException: Text '366' could not be parsed, 
> unparsed text found at index 2. If necessary set spark.sql.ansi.enabled to 
> false to bypass this error.
> {code}
> **Java 11+**
> {code}
> $ bin/spark-shell --conf spark.sql.ansi.enabled=true
> Setting default log level to "WARN".
> To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use 
> setLogLevel(newLevel).
> 22/03/12 01:00:07 WARN NativeCodeLoader: Unable to load native-hadoop library 
> for your platform... using builtin-java classes where applicable
> Spark context Web UI available at http://172.16.0.31:4040
> Spark context available as 'sc' (master = local[*], app id = 
> local-1647075607932).
> Spark session available as 'spark'.
> Welcome to
>       ____              __
>      / __/__  ___ _____/ /__
>     _\ \/ _ \/ _ `/ __/  '_/
>    /___/ .__/\_,_/_/ /_/\_\   version 3.3.0-SNAPSHOT
>       /_/
> Using Scala version 2.12.15 (OpenJDK 64-Bit Server VM, Java 11.0.12)
> Type in expressions to have them evaluated.
> Type :help for more information.
> scala> sql("select to_timestamp('366', 'DD')").show
> java.time.DateTimeException: Invalid date 'DayOfYear 366' as '1970' is not a 
> leap year. If necessary set spark.sql.ansi.enabled to false to bypass this 
> error.
> {code}



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