[jira] [Commented] (SPARK-36081) The implementation of cast doesn't comply with its specification

["Apache Spark (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-36081?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17378522#comment-17378522 ] 

Apache Spark commented on SPARK-36081:
--------------------------------------

User 'sarutak' has created a pull request for this issue:
https://github.com/apache/spark/pull/33287

> The implementation of cast doesn't comply with its specification
> ----------------------------------------------------------------
>
>                 Key: SPARK-36081
>                 URL: https://issues.apache.org/jira/browse/SPARK-36081
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 3.0.3, 3.1.2, 3.2.0, 3.3.0
>            Reporter: Kousuke Saruta
>            Assignee: Kousuke Saruta
>            Priority: Major
>
> sql-migration-guide.md mentions about the behavior of cast like as follows.
> {code}
> In Spark 3.0, when casting string value to integral types(tinyint, smallint, int and bigint), datetime types(date, timestamp and interval) and boolean type, the leading and trailing whitespaces (<= ASCII 32) will be trimmed before converted to these type values, for example, `cast(' 1\t' as int)` results `1`, `cast(' 1\t' as boolean)` results `true`, `cast('2019-10-10\t as date)` results the date value `2019-10-10`. In Spark version 2.4 and below, when casting string to integrals and booleans, it does not trim the whitespaces from both ends; the foregoing results is `null`, while to datetimes, only the trailing spaces (= ASCII 32) are removed.
> {code}
> In fact,  select cast('2019-10-10\b' as date); returns 2019-10-10 with Spark 3.0.0. 
> But after 3.0.1, the query returns NULL and this behavior doesn't comply with the specification.
> The root cause seems to be 



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