dbatomic commented on code in PR #46640:
URL: https://github.com/apache/spark/pull/46640#discussion_r1622396501


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/RewriteGroupByCollation.scala:
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@@ -0,0 +1,57 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.catalyst.analysis
+
+import org.apache.spark.sql.catalyst.expressions.{AttributeReference, 
CollationKey}
+import org.apache.spark.sql.catalyst.plans.logical.{Aggregate, LogicalPlan}
+import org.apache.spark.sql.catalyst.rules.Rule
+import org.apache.spark.sql.catalyst.util.CollationFactory
+import org.apache.spark.sql.types.StringType
+
+object RewriteGroupByCollation extends Rule[LogicalPlan] {
+  def apply(plan: LogicalPlan): LogicalPlan = plan transformUpWithNewOutput {
+    case a: Aggregate if canRewriteAggregateCollation(a) =>
+
+      val newGroupingExpressions = a.groupingExpressions.map {
+        case attr: AttributeReference if 
attr.dataType.isInstanceOf[StringType] &&
+          !CollationFactory.fetchCollation(
+            
attr.dataType.asInstanceOf[StringType].collationId).supportsBinaryEquality =>
+          CollationKey(attr)
+        case other => other
+      }
+
+      val newAggregate = a.copy(
+        groupingExpressions = newGroupingExpressions,
+        aggregateExpressions = a.aggregateExpressions
+      )
+
+      if (!newAggregate.fastEquals(a)) {
+        (newAggregate, a.output.zip(newAggregate.output))
+      } else {
+        (a, a.output.zip(a.output))
+      }
+  }
+
+  private def canRewriteAggregateCollation(aggregate: Aggregate): Boolean = {
+    // This rewrite rule is used to enabled hash aggregation on collated 
string columns. However,
+    // hash aggregation is currently only supported for grouping aggregations 
- this means that no
+    // string type can be found in the aggregate expressions, so we avoid 
rewrite in this case.
+    !aggregate.aggregateExpressions.exists(e => 
e.dataType.isInstanceOf[StringType])

Review Comment:
   Maybe you can call `supportsHashAggregate` by just passing agg keys and 
empty seq for group by?



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