rui-mo commented on code in PR #12967:
URL: https://github.com/apache/gluten/pull/12967#discussion_r3950606077


##########
backends-velox/src-delta40/test/scala/org/apache/spark/sql/delta/GlutenDeltaStatsSuite.scala:
##########
@@ -0,0 +1,68 @@
+/*
+ * 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.delta
+
+import org.apache.spark.sql.Row
+import org.apache.spark.sql.delta.sources.DeltaSQLConf
+import org.apache.spark.sql.delta.test.DeltaSQLCommandTest
+
+class GlutenDeltaStatsSuite extends DeltaSQLCommandTest {
+
+  import testImplicits._
+
+  test("collect TIMESTAMP_NTZ statistics natively") {
+    withSQLConf(DeltaSQLConf.DELTA_COLLECT_STATS.key -> "true") {
+      withTempDir {
+        dir =>
+          val path = dir.getCanonicalPath
+          val data = Seq(
+            "1969-12-31 23:59:59.999999",
+            "2024-01-01 00:00:00.123456"
+          ).toDF("input")
+            .selectExpr(
+              "cast(input as timestamp_ntz) as ts",
+              "struct(cast(input as timestamp_ntz) as ts) as nested")
+
+          data.coalesce(1).write.format("delta").save(path)
+
+          val actual = spark.read.format("delta").load(path)
+          assert(actual.collect().toSet == data.collect().toSet)
+
+          val addFiles = DeltaLog.forTable(spark, 
path).update().allFiles.collect()
+          assert(addFiles.length == 1)
+          val stats = addFiles.head.stats
+          assert(stats != null)
+          val statsValues = Seq(stats)
+            .toDF("stats")
+            .selectExpr(
+              "get_json_object(stats, '$.minValues.ts')",
+              "get_json_object(stats, '$.minValues.nested.ts')",
+              "get_json_object(stats, '$.maxValues.ts')",
+              "get_json_object(stats, '$.maxValues.nested.ts')"
+            )
+            .head()
+          assert(
+            statsValues == Row(
+              "1969-12-31T23:59:59.999",
+              "1969-12-31T23:59:59.999",
+              "2024-01-01T00:00:00.123",
+              "2024-01-01T00:00:00.123"),
+            stats)

Review Comment:
   Could you please assert that the plan contains 
`HashAggregateExecTransformer` to ensure aggregate has been offloaded into 
native?



##########
cpp/velox/substrait/VeloxSubstraitSignature.cc:
##########
@@ -24,6 +24,9 @@ std::string 
VeloxSubstraitSignature::toSubstraitSignature(const TypePtr& type) {
   if (type->isDate()) {
     return "date";
   }
+  if (type->equivalent(*TIMESTAMP_UTC())) {
+    return "tsntz";

Review Comment:
   nit: use `ts_ntz` to be aligned with Spark.



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