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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2020/11/16 22:23:24 UTC

[GitHub] [spark] huaxingao commented on a change in pull request #29695: [SPARK-22390][SPARK-32833][SQL] [WIP]JDBC V2 Datasource aggregate push down

huaxingao commented on a change in pull request #29695:
URL: https://github.com/apache/spark/pull/29695#discussion_r524675070



##########
File path: sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2ScanRelationPushDown.scala
##########
@@ -73,33 +77,25 @@ object V2ScanRelationPushDown extends Rule[LogicalPlan] {
               postScanFilters)
             Aggregate(groupingExpressions, resultExpressions, plan)
           } else {
-            val resultAttributes = resultExpressions.map(_.toAttribute)
-              .map ( e => e match { case a: AttributeReference => a })
-            var index = 0
             val aggOutputBuilder = ArrayBuilder.make[AttributeReference]
-            for (a <- resultAttributes) {
-              val newName = if (a.name.contains("FILTER")) {
-                a.name.substring(0, a.name.indexOf("FILTER") - 1)
-              } else if (a.name.contains("DISTINCT")) {
-                a.name.replace("DISTINCT ", "")
-              } else {
-                a.name
-              }
-
-              aggOutputBuilder +=
-                a.copy(name = newName,
-                  dataType = aggregates(index).dataType)(exprId = NamedExpression.newExprId,
-                  qualifier = a.qualifier)
-              index += 1
+            for (a <- aggregates) {
+                aggOutputBuilder += AttributeReference(toPrettySQL(a), a.dataType)()
             }
             val aggOutput = aggOutputBuilder.result
 
-            var newOutput = aggOutput
-            for (col <- output) {
-              if (!aggOutput.exists(_.name.contains(col.name))) {
-                newOutput = col +: newOutput
+            val newOutputBuilder = ArrayBuilder.make[AttributeReference]
+            for (col1 <- output) {
+              var found = false
+              for (col2 <- aggOutput) {
+                  if (contains(col2.name, col1.name)) {

Review comment:
       Thanks @rf972. I committed the fix. 
   Are there any performance improvement with aggregate push down in your TPCH tests?




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