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Gengliang Wang commented on SPARK-39865: ---------------------------------------- [~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} -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org