Github user tdas commented on a diff in the pull request: https://github.com/apache/spark/pull/16108#discussion_r90565023 --- Diff: sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryListenerSuite.scala --- @@ -191,6 +192,50 @@ class StreamingQueryListenerSuite extends StreamTest with BeforeAndAfter { assert(queryQueryTerminated.exception === newQueryTerminated.exception) } + test("only one progress event per interval when no data") { + // This test will start a query but not push any data, and then check if we push too many events + withSQLConf(SQLConf.STREAMING_NO_DATA_EVENT_INTERVAL.key -> "100ms") { + @volatile var progressEventCount = 0 + + val listener = new StreamingQueryListener { + override def onQueryStarted(event: QueryStartedEvent): Unit = {} + + override def onQueryProgress(event: QueryProgressEvent): Unit = { + progressEventCount += 1 + } + + override def onQueryTerminated(event: QueryTerminatedEvent): Unit = {} + } + spark.streams.addListener(listener) + try { + val clock = new StreamManualClock() + val actions = mutable.ArrayBuffer[StreamAction]() + actions += StartStream(trigger = ProcessingTime(10), triggerClock = clock) + actions += AssertOnQuery { _ => + // It should report at least one progress + eventually(timeout(streamingTimeout)) { + assert(progressEventCount > 0) + } + true + } + for (_ <- 1 to 100) { + actions += AdvanceManualClock(10) + actions += AssertOnQuery { _ => + // Sleep so that if the config `noDataEventInterval` doesn't work, it has enough time + // to report too many events. + Thread.sleep(10) + true + } + } + testStream(MemoryStream[Int].toDS)(actions: _*) + // 11 is the max value of the possible numbers of events. --- End diff -- I think this test looks a little complicated. Also you are assuming the fact the when there is no data, it will sleep for 10 ms real time. why not something like this. ``` val input = new MemoryStream() { @volatile var numTriggers = 0 override def getOffset(): Offset = { numTriggers +=1 ; super.getOffset() } } ... // add listener with progressEventCount and flag isTerminationEventPosted ... testStream() { // on real clock AddData(...) AssertOnQuery { q => eventually (timeout(streamingTimeout)) { assert(input.numTriggers > 100) // at least 100 triggers have occurred } }, StopStream, AssertOnQuery { q => eventually(timeout(streamingTimeout) { assert(isTerminationEventPosted) // event queue has drained assert(numProgressEvent >=1 && numProgressEvent <= 100) // no more than 10 events. } } } ```
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