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https://issues.apache.org/jira/browse/SPARK-38097?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-38097:
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Assignee: (was: Apache Spark)
> Improve the error for pivoting of unsupported value types
> ---------------------------------------------------------
>
> Key: SPARK-38097
> URL: https://issues.apache.org/jira/browse/SPARK-38097
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.3.0
> Reporter: Max Gekk
> Priority: Major
>
> The error message from:
> {code:scala}
> test("Improve the error for pivoting of unsupported value types") {
> trainingSales
> .groupBy($"sales.year")
> .pivot(struct(lower($"sales.course"), $"training"))
> .agg(sum($"sales.earnings"))
> .show(false)
> }
> {code}
> can confuse users:
> {code:java}
> The feature is not supported: literal for '[dotnet,Dummies]' of class
> org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema.
> org.apache.spark.SparkRuntimeException: The feature is not supported: literal
> for '[dotnet,Dummies]' of class
> org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema.
> at
> org.apache.spark.sql.errors.QueryExecutionErrors$.literalTypeUnsupportedError(QueryExecutionErrors.scala:245)
> at
> org.apache.spark.sql.catalyst.expressions.Literal$.apply(literals.scala:99)
> at
> org.apache.spark.sql.RelationalGroupedDataset.$anonfun$pivot$2(RelationalGroupedDataset.scala:455)
> at
> scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
> {code}
> Need to improve the error message and make it more precise.
> See https://github.com/apache/spark/pull/35302#discussion_r793629370
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