WweiL commented on code in PR #46740:
URL: https://github.com/apache/spark/pull/46740#discussion_r1621504283
##########
python/pyspark/sql/tests/streaming/test_streaming.py:
##########
@@ -392,6 +392,31 @@ def test_streaming_with_temporary_view(self):
set([Row(value="view_a"), Row(value="view_b"),
Row(value="view_c")]), set(result)
)
+ def test_streaming_drop_duplicate_within_watermark(self):
+ """
+ This verfies dropDuplicatesWithinWatermark works with a streaming
dataframe.
+ """
+ user_schema = StructType().add("time", TimestampType()).add("id",
"integer")
+ df = (
+ self.spark.readStream.option("sep", ";")
+ .schema(user_schema)
+ .csv("python/test_support/sql/streaming/time")
+ )
+ q1 = (
+ df.withWatermark("time", "2 seconds")
+ .dropDuplicatesWithinWatermark(["id"])
+ .writeStream.outputMode("update")
+ .format("memory")
+ .queryName("q1")
+ .trigger(availableNow=True)
+ .start()
+ )
+ self.assertTrue(q1.isActive)
+ time.sleep(20)
Review Comment:
Instead of using time.sleep(20). let's use `query.processAllAvailable()` for
test purpose
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