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Posted to issues@spark.apache.org by "Max Gekk (Jira)" <ji...@apache.org> on 2022/03/31 16:50:00 UTC
[jira] [Updated] (SPARK-38722) Test the error class: CAST_CAUSES_OVERFLOW

     [ https://issues.apache.org/jira/browse/SPARK-38722?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Max Gekk updated SPARK-38722:
-----------------------------
    Description: 
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

  was:
Add at least one test for the error class *CANNOT_PARSE_DECIMAL* to QueryExecutionErrorsSuite. The test should cover the exception throw in QueryExecutionErrors:

{code:scala}
  def cannotParseDecimalError(): Throwable = {
    new SparkIllegalStateException(errorClass = "CANNOT_PARSE_DECIMAL",
      messageParameters = Array.empty)
  }
{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


> 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



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