[jira] [Resolved] (SPARK-37945) Use error classes in the execution errors of arithmetic ops

["Max Gekk (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-37945?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Max Gekk resolved SPARK-37945.
------------------------------
    Fix Version/s: 3.4.0
       Resolution: Fixed

Issue resolved by pull request 38273
[https://github.com/apache/spark/pull/38273]

> Use error classes in the execution errors of arithmetic ops
> -----------------------------------------------------------
>
>                 Key: SPARK-37945
>                 URL: https://issues.apache.org/jira/browse/SPARK-37945
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 3.3.0
>            Reporter: Max Gekk
>            Assignee: Khalid Mammadov
>            Priority: Major
>             Fix For: 3.4.0
>
>
> Migrate the following errors in QueryExecutionErrors:
> * overflowInSumOfDecimalError
> * overflowInIntegralDivideError
> * arithmeticOverflowError
> * unaryMinusCauseOverflowError
> * binaryArithmeticCauseOverflowError
> * unscaledValueTooLargeForPrecisionError
> * decimalPrecisionExceedsMaxPrecisionError
> * outOfDecimalTypeRangeError
> * integerOverflowError
> onto use error classes. Throw an implementation of SparkThrowable. Also write a test per every error in QueryExecutionErrorsSuite.



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