Github user ueshin commented on a diff in the pull request: https://github.com/apache/spark/pull/15480#discussion_r89802303 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/GenerateOrdering.scala --- @@ -118,7 +118,42 @@ object GenerateOrdering extends CodeGenerator[Seq[SortOrder], Ordering[InternalR } """ }.mkString("\n") - comparisons + + /* + * 40 = 7000 bytes / 170 (around 170 bytes per ordering comparison). + * The maximum byte code size to be compiled for HotSpot is 8000 bytes. + * We should keep less than 8000 bytes. + */ + val numberOfComparisonsThreshold = 40 + + if (ordering.size <= numberOfComparisonsThreshold) { + comparisons(ordering) + } else { + val groupedOrderingItr = ordering.grouped(numberOfComparisonsThreshold) + val funcNamePrefix = ctx.freshName("compare") + val funcNames = groupedOrderingItr.zipWithIndex.map { case (orderingGroup, i) => + val funcName = s"${funcNamePrefix}_$i" + val funcCode = + s""" + |private int $funcName(InternalRow a, InternalRow b) { + | InternalRow ${ctx.INPUT_ROW} = null; // Holds current row being evaluated. + | ${comparisons(orderingGroup)} + | return 0; --- End diff -- I'm interested in refactoring approach, which will be useful for more general case.
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