Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/11283#discussion_r54834856
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/SQLBuilder.scala ---
@@ -211,6 +215,73 @@ class SQLBuilder(logicalPlan: LogicalPlan, sqlContext:
SQLContext) extends Loggi
)
}
+ private def groupingSetToSQL(
+ plan: Aggregate,
+ expand: Expand,
+ project: Project): String = {
+ require(plan.groupingExpressions.length > 1)
+
+ // The last column of Expand is always grouping ID
+ val gid = expand.output.last
+
+ // In cube/rollup/groupingsets, Analyzer creates new aliases for all
group by expressions.
+ // Since conversion from attribute back SQL ignore expression IDs, the
alias of attribute
+ // references are ignored in aliasMap
+ val aliasMap = AttributeMap(project.projectList.collect {
+ case a @ Alias(child, name) => (a.toAttribute, a)
+ })
+
+ val groupByAttributes =
plan.groupingExpressions.dropRight(1).map(_.asInstanceOf[Attribute])
+ val groupByAttrMap = AttributeMap(groupByAttributes.zip(
+
project.projectList.drop(project.child.output.length).map(_.asInstanceOf[Alias].child)))
+ val groupingExprs = groupByAttrMap.values.toArray
+ val groupingSQL = groupingExprs.map(_.sql).mkString(", ")
+
+ val groupingSet = expand.projections.map(_.dropRight(1).filter {
--- End diff --
we can also simplify this:
```
val groupingAttrSet = AttributeSet(groupByAttributes)
val groupingSet = expand.projections.map { project =>
project.dropRight(1).collect {
case attr: Attribute if groupingAttrSet.contains(attr) => attr
}.map(groupByAttrMap.get)
}
```
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