[jira] [Comment Edited] (SPARK-39865) Show proper error messages on the overflow errors of table insert

["Gengliang Wang (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-39865?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17634062#comment-17634062 ] 

Gengliang Wang edited comment on SPARK-39865 at 11/14/22 10:05 PM:
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[~catalinii] Could you provide full reproduce steps? Thanks in advance!


was (Author: gengliang.wang):
[~catalinii] Could you provide full reproduce steps? Thanks in advance!.

> Show proper error messages on the overflow errors of table insert
> -----------------------------------------------------------------
>
>                 Key: SPARK-39865
>                 URL: https://issues.apache.org/jira/browse/SPARK-39865
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 3.3.0, 3.4.0
>            Reporter: Gengliang Wang
>            Assignee: Gengliang Wang
>            Priority: Major
>             Fix For: 3.3.1
>
>
> In Spark 3.3, the error message of ANSI CAST is improved. However, the table insertion is using the same CAST expression:
> {code:java}
> > create table tiny(i tinyint);
> > insert into tiny values (1000);
> org.apache.spark.SparkArithmeticException[CAST_OVERFLOW]: The value 1000 of the type "INT" cannot be cast to "TINYINT" due to an overflow. Use `try_cast` to tolerate overflow and return NULL instead. If necessary set "spark.sql.ansi.enabled" to "false" to bypass this error.
> {code}
>  
> Showing the hint of `If necessary set "spark.sql.ansi.enabled" to "false" to bypass this error` doesn't help at all. This PR is to fix the error message. After changes, the error message of this example will become:
> {code:java}
> org.apache.spark.SparkArithmeticException: [CAST_OVERFLOW_IN_TABLE_INSERT] Fail to insert a value of "INT" type into the "TINYINT" type column `i` due to an overflow. Use `try_cast` on the input value to tolerate overflow and return NULL instead.{code}



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