[GitHub] [spark] xuanyuanking commented on a change in pull request #29256: [SPARK-32456][SS] Check the Distinct by assuming it as Aggregate for Structured Streaming

[GitBox <gi...@apache.org>]

xuanyuanking commented on a change in pull request #29256:
URL: https://github.com/apache/spark/pull/29256#discussion_r463478249



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File path: sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala
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@@ -1106,6 +1106,41 @@ 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]
+    withTempDir { dir =>
+      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, dir)
+      }
+    }
+  }
+
+  test("distinct in streaming query of append mode without watermark") {
+    val inputData = MemoryStream[Int]
+    withTempDir { dir =>
+      withTempView("deduptest") {
+        inputData.toDF().toDF("value").createOrReplaceTempView("deduptest")

Review comment:
       The first `toDF` is `MemoryStreamBase.toDF`. The second one is `Dataset.toDF`, which renamed the column name.




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