Max Gekk created SPARK-38097:
--------------------------------
Summary: 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
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.
--
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
