himadripal commented on PR #45267:
URL: https://github.com/apache/spark/pull/45267#issuecomment-1965681861
was trying this test case,
`val partition1 = Array(Expressions.years("ts"),
bucket(2, "id"))
val partition2 = Array(Expressions.days("ts"),
bucket(4, "id"))`
this throws an exception when paritiallyClustered = false and
allowCompatibleTransform=true.
exception :
`class java.lang.Integer cannot be cast to class java.lang.Long
(java.lang.Integer and java.lang.Long are in module java.base of loader
'bootstrap')
java.lang.ClassCastException: class java.lang.Integer cannot be cast to
class java.lang.Long (java.lang.Integer and java.lang.Long are in module
java.base of loader 'bootstrap')
at scala.runtime.BoxesRunTime.unboxToLong(BoxesRunTime.java:103)
at
org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow.getLong(rows.scala:42)`
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