edman124 commented on code in PR #28513:
URL: https://github.com/apache/beam/pull/28513#discussion_r1333685400
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runners/google-cloud-dataflow-java/worker/src/test/java/org/apache/beam/runners/dataflow/worker/StreamingDataflowWorkerTest.java:
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@@ -2923,6 +2942,90 @@ public void run() {
executor.shutdown();
}
+ @Test
+ public void testActiveThreadMetric() throws Exception {
+ int maxThreads = 5;
+ int threadExpiration = 60;
+ // setting up actual implementation of executor instead of mocking to keep
track of
+ // active thread count.
+ BoundedQueueExecutor executor =
+ new BoundedQueueExecutor(
+ maxThreads,
+ threadExpiration,
+ TimeUnit.SECONDS,
+ maxThreads,
+ 10000000,
+ new ThreadFactoryBuilder()
+ .setNameFormat("DataflowWorkUnits-%d")
+ .setDaemon(true)
+ .build());
+
+ StreamingDataflowWorker.ComputationState computationState =
+ new StreamingDataflowWorker.ComputationState(
+ "computation",
+
defaultMapTask(Arrays.asList(makeSourceInstruction(StringUtf8Coder.of()))),
+ executor,
+ ImmutableMap.of(),
+ null);
+
+ ShardedKey key1Shard1 = ShardedKey.create(ByteString.copyFromUtf8("key1"),
1);
+
+ // real work
+ MockActiveWork m1 =
+ new MockActiveWork(1) {
+ @Override
+ public void run() {
+ int count = 0;
+ while (!exit) {
+ count += 1;
+ }
+ Thread.currentThread().interrupt();
+ }
+ };
+
+ // idle work
+ MockWork m2 =
+ new MockWork(2) {
+ @Override
+ public void run() {
+ try {
+ Thread.sleep(2000);
+ } catch (InterruptedException e) {
+ Thread.currentThread().interrupt();
+ }
+ }
+ };
+
+ // idle work
+ MockWork m3 =
+ new MockWork(3) {
+ @Override
+ public void run() {
+ try {
+ Thread.sleep(2000);
+ } catch (InterruptedException e) {
+ Thread.currentThread().interrupt();
+ }
+ }
+ };
+ assertEquals(0, executor.activeCount());
+
+ assertTrue(computationState.activateWork(key1Shard1, m1));
+ executor.execute(m1, m1.getWorkItem().getSerializedSize());
+ Thread.sleep(1000);
Review Comment:
Yea the sleep is for making sure the thread is started. I've updated the
test to wait for a notifcation on thread start for each workitem.
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