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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/04/14 12:11:00 UTC
[jira] [Commented] (SPARK-38722) Test the error class: CAST_CAUSES_OVERFLOW
[ https://issues.apache.org/jira/browse/SPARK-38722?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17522263#comment-17522263 ]
Apache Spark commented on SPARK-38722:
--------------------------------------
User 'panbingkun' has created a pull request for this issue:
https://github.com/apache/spark/pull/36199
> Test the error class: CAST_CAUSES_OVERFLOW
> ------------------------------------------
>
> Key: SPARK-38722
> URL: https://issues.apache.org/jira/browse/SPARK-38722
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.4.0
> Reporter: Max Gekk
> Priority: Minor
> Labels: starter
>
> Add at least one test for the error class *CAST_CAUSES_OVERFLOW* to QueryExecutionErrorsSuite. The test should cover the exception throw in QueryExecutionErrors:
> {code:scala}
> def castingCauseOverflowError(t: Any, dataType: DataType): ArithmeticException = {
> new SparkArithmeticException(errorClass = "CAST_CAUSES_OVERFLOW",
> messageParameters = Array(t.toString, dataType.catalogString, SQLConf.ANSI_ENABLED.key))
> }
> {code}
> For example, here is a test for the error class *UNSUPPORTED_FEATURE*: https://github.com/apache/spark/blob/34e3029a43d2a8241f70f2343be8285cb7f231b9/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryCompilationErrorsSuite.scala#L151-L170
> +The test must have a check of:+
> # the entire error message
> # sqlState if it is defined in the error-classes.json file
> # the error class
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