Github user tejasapatil commented on a diff in the pull request:
https://github.com/apache/spark/pull/15484#discussion_r84585577
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
---
@@ -216,10 +216,16 @@ class Analyzer(
* Group Count: N + 1 (N is the number of group expressions)
*
* We need to get all of its subsets for the rule described above,
the subset is
- * represented as the bit masks.
+ * represented as sequence of expressions.
*/
- def bitmasks(r: Rollup): Seq[Int] = {
- Seq.tabulate(r.groupByExprs.length + 1)(idx => (1 << idx) - 1)
+ def rollupExprs(exprs: Seq[Expression]): Seq[Seq[Expression]] = {
+ val buffer = ArrayBuffer.empty[Seq[Expression]]
--- End diff --
Avoid using `ArrayBuffer` as insertions would lead to expansion of
underlying array and copying of data to the new one. Since you know the size
upfront, you could create an `Array` of required size.
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