HeartSaVioR commented on a change in pull request #27019: [SPARK-30027][SQL] Support codegen for aggregate filters in HashAggregateExec URL: https://github.com/apache/spark/pull/27019#discussion_r371073779
########## File path: sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/HashAggregateExec.scala ########## @@ -329,6 +328,39 @@ case class HashAggregateExec( } } + private def generateEvalCodeForAggFuncs( + ctx: CodegenContext, + input: Seq[ExprCode], + inputAttrs: Seq[Attribute], + boundUpdateExprs: Seq[Seq[Expression]], + aggNames: Seq[String], + aggCodeBlocks: Seq[Block], + subExprs: SubExprCodes): String = { + val aggCodes = if (conf.codegenSplitAggregateFunc && + aggCodeBlocks.map(_.length).sum > conf.methodSplitThreshold) { + val maybeSplitCodes = splitAggregateExpressions( + ctx, aggNames, boundUpdateExprs, aggCodeBlocks, subExprs.states) + + maybeSplitCodes.getOrElse(aggCodeBlocks.map(_.code)) + } else { + aggCodeBlocks.map(_.code) + } + + aggCodes.zip(aggregateExpressions.map(ae => (ae.mode, ae.filter))).map { + case (aggCode, (Partial | Complete, Some(condition))) => + // Note: wrap in "do { } while(false);", so the generated checks can jump out + // with "continue;" + s""" + |do { + | ${generatePredicateCode(ctx, condition, inputAttrs, input)} + | $aggCode + |} while(false); Review comment: NOTE in above code comment would be enough to explain why, right? It still executes only once, but be able to exit the specific code block instead of exiting the function/method in the middle of the code. ---------------------------------------------------------------- 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org