gengliangwang opened a new pull request, #37311:
URL: https://github.com/apache/spark/pull/37311
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### What changes were proposed in this pull request?
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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.
```
### Why are the changes needed?
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Show proper error messages on the overflow errors of table insert. The
current message is super confusing.
### Does this PR introduce _any_ user-facing change?
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Yes, after changes it show proper error messages on the overflow errors of
table insert.
### How was this patch tested?
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Unit test
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