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)` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org