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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 -- This message was sent by Atlassian Jira (v8.20.1#820001) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org