viirya commented on a change in pull request #34038: URL: https://github.com/apache/spark/pull/34038#discussion_r711537729
########## File path: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala ########## @@ -401,16 +401,30 @@ trait CheckAnalysis extends PredicateHelper with LookupCatalog { |the ${ordinalNumber(ti + 1)} table has ${child.output.length} columns """.stripMargin.replace("\n", " ").trim()) } + val isUnion = operator.isInstanceOf[Union] // Check if the data types match. - dataTypes(child).zip(ref).zipWithIndex.foreach { case ((dt1, dt2), ci) => - // SPARK-18058: we shall not care about the nullability of columns - if (TypeCoercion.findWiderTypeForTwo(dt1.asNullable, dt2.asNullable).isEmpty) { - failAnalysis( - s""" - |${operator.nodeName} can only be performed on tables with the compatible - |column types. ${dt1.catalogString} <> ${dt2.catalogString} at the - |${ordinalNumber(ci)} column of the ${ordinalNumber(ti + 1)} table - """.stripMargin.replace("\n", " ").trim()) + if (!isUnion) { Review comment: Not sure if we should also generalize to all set operations? Although it looks reasonable, but by their API definition seems we don't have the by-position definition as Union. -- 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