[SPARK-39865] Show proper error messages on the overflow errors of table insert - ASF JIRA

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Details

Type: Sub-task
Status: Resolved
Priority: Major
Resolution: Fixed
Affects Version/s: 3.3.0, 3.4.0
Fix Version/s: 3.3.1
Component/s: SQL
Labels:
None

Description

In Spark 3.3, the error message of ANSI CAST is improved. However, the table insertion is using the same CAST expression:

> 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.

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:

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.