Add a test to verify no memory leak

apache · Apr 30, 2015 · fd03ad0 · fd03ad0
1 parent 4a8f886
commit fd03ad0
Showing 1 changed file with 47 additions and 0 deletions.
diff --git a/...ming/src/test/scala/org/apache/spark/streaming/ui/StreamingJobProgressListenerSuite.scala b/...ming/src/test/scala/org/apache/spark/streaming/ui/StreamingJobProgressListenerSuite.scala
@@ -208,4 +208,51 @@ class StreamingJobProgressListenerSuite extends TestSuiteBase with Matchers {
       (listener.waitingBatches.size + listener.runningBatches.size +
         listener.retainedCompletedBatches.size + 10)
   }
+
+  test("detect memory leak") {
+    val ssc = setupStreams(input, operation)
+    val listener = new StreamingJobProgressListener(ssc)
+
+    val limit = ssc.conf.getInt("spark.streaming.ui.retainedBatches", 1000)
+
+    for (_ <- 0 until 2 * limit) {
+      val receivedBlockInfo = Map(
+        0 -> Array(ReceivedBlockInfo(0, 100, null), ReceivedBlockInfo(0, 200, null)),
+        1 -> Array(ReceivedBlockInfo(1, 300, null))
+      )
+
+      // onBatchSubmitted
+      val batchInfoSubmitted = BatchInfo(Time(1000), receivedBlockInfo, 1000, None, None)
+      listener.onBatchSubmitted(StreamingListenerBatchSubmitted(batchInfoSubmitted))
+
+      // onBatchStarted
+      val batchInfoStarted = BatchInfo(Time(1000), receivedBlockInfo, 1000, Some(2000), None)
+      listener.onBatchStarted(StreamingListenerBatchStarted(batchInfoStarted))
+
+      // onJobStart
+      val jobStart1 = createJobStart(Time(1000), outputOpId = 0, jobId = 0)
+      listener.onJobStart(jobStart1)
+
+      val jobStart2 = createJobStart(Time(1000), outputOpId = 0, jobId = 1)
+      listener.onJobStart(jobStart2)
+
+      val jobStart3 = createJobStart(Time(1000), outputOpId = 1, jobId = 0)
+      listener.onJobStart(jobStart3)
+
+      val jobStart4 = createJobStart(Time(1000), outputOpId = 1, jobId = 1)
+      listener.onJobStart(jobStart4)
+
+      // onBatchCompleted
+      val batchInfoCompleted = BatchInfo(Time(1000), receivedBlockInfo, 1000, Some(2000), None)
+      listener.onBatchCompleted(StreamingListenerBatchCompleted(batchInfoCompleted))
+    }
+
+    listener.waitingBatches.size should be (0)
+    listener.runningBatches.size should be (0)
+    listener.retainedCompletedBatches.size should be (limit)
+    listener.batchTimeToOutputOpIdSparkJobIdPair.size() should be <=
+      (listener.waitingBatches.size + listener.runningBatches.size +
+        listener.retainedCompletedBatches.size + 10)
+  }
+
 }