xuanyuanking commented on a change in pull request #29256:
URL: https://github.com/apache/spark/pull/29256#discussion_r471977357



##########
File path: 
sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala
##########
@@ -1106,6 +1107,54 @@ class StreamingQuerySuite extends StreamTest with 
BeforeAndAfter with Logging wi
     }
   }
 
+  test("union in streaming query of append mode without watermark") {
+    val inputData1 = MemoryStream[Int]
+    val inputData2 = MemoryStream[Int]
+    withTempView("s1", "s2") {
+      inputData1.toDF().createOrReplaceTempView("s1")
+      inputData2.toDF().createOrReplaceTempView("s2")
+      val unioned = spark.sql(
+        "select s1.value from s1 union select s2.value from s2")
+      checkExceptionMessage(unioned)
+    }
+  }
+
+  test("distinct in streaming query of append mode without watermark") {
+    val inputData = MemoryStream[Int]
+    withTempView("deduptest") {
+      inputData.toDF().toDF("value").createOrReplaceTempView("deduptest")
+      val distinct = spark.sql("select distinct value from deduptest")
+      checkExceptionMessage(distinct)
+    }
+  }
+
+  test("distinct in streaming query of complete mode") {
+    val inputData = MemoryStream[Int]
+    withTempView("deduptest") {
+      inputData.toDF().toDF("value").createOrReplaceTempView("deduptest")
+      val distinct = spark.sql("select distinct value from deduptest")
+
+      testStream(distinct, Complete)(
+        AddData(inputData, 1, 2, 3, 3, 4),
+        CheckAnswer(Row(1), Row(2), Row(3), Row(4))

Review comment:
       I think the right way is unifying the behavior of SQL distinct and 
Dataset.dropDuplicates(). That is to say, the logic node of `Distinct` should 
be replaced to `Deduplicate` in streaming. It should easily work if we did it 
at the beginning. But now we need more work to finish the behavior unification. 
Because the fix will also change the current state store format, so the fix 
depends on state store versioning.




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