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https://issues.apache.org/jira/browse/SPARK-37945?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17615459#comment-17615459
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Max Gekk commented on SPARK-37945:
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[~khalidmammad...@gmail.com] Sure, go ahead.
> 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
> Priority: Major
>
> 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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