gengliangwang commented on a change in pull request #33341:
URL: https://github.com/apache/spark/pull/33341#discussion_r671132954



##########
File path: 
sql/core/src/test/scala/org/apache/spark/sql/DataFrameTimeWindowingSuite.scala
##########
@@ -17,184 +17,249 @@
 
 package org.apache.spark.sql
 
-import org.apache.spark.sql.catalyst.plans.logical.Expand
+import java.time.LocalDateTime
+
+import org.apache.spark.sql.catalyst.expressions.AttributeReference
+import org.apache.spark.sql.catalyst.plans.logical.{Aggregate, Expand}
 import org.apache.spark.sql.functions._
 import org.apache.spark.sql.test.SharedSparkSession
-import org.apache.spark.sql.types.StringType
+import org.apache.spark.sql.types._
 
 class DataFrameTimeWindowingSuite extends QueryTest with SharedSparkSession {
 
   import testImplicits._
 
   test("simple tumbling window with record at window start") {
-    val df = Seq(
-      ("2016-03-27 19:39:30", 1, "a")).toDF("time", "value", "id")
-
-    checkAnswer(
-      df.groupBy(window($"time", "10 seconds"))
-        .agg(count("*").as("counts"))
-        .orderBy($"window.start".asc)
-        .select($"window.start".cast("string"), $"window.end".cast("string"), 
$"counts"),
-      Seq(
-        Row("2016-03-27 19:39:30", "2016-03-27 19:39:40", 1)
+    val df1 = Seq(("2016-03-27 19:39:30", 1, "a")).toDF("time", "value", "id")

Review comment:
       @cloud-fan from the current Type Coercion rules, when it comes to String 
and AnyTimestamp, we always cast as `AnyTimestampType.defaultConcreteType`. 
This is out of the scope of this PR. Let's revisit that later.




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