use of com.google.common.util.concurrent.ThreadFactoryBuilder in project sonarqube by SonarSource.
the class NotificationDaemon method start.
@Override
public void start() {
executorService = Executors.newSingleThreadScheduledExecutor(new ThreadFactoryBuilder().setNameFormat(THREAD_NAME_PREFIX + "%d").setPriority(Thread.MIN_PRIORITY).build());
executorService.scheduleWithFixedDelay(() -> {
try {
processQueue();
} catch (Exception e) {
LOG.error("Error in NotificationService", e);
}
}, 0, delayInSeconds, TimeUnit.SECONDS);
LOG.info("Notification service started (delay {} sec.)", delayInSeconds);
}
use of com.google.common.util.concurrent.ThreadFactoryBuilder in project che by eclipse.
the class WSocketEventBusClient method start.
@PostConstruct
void start() {
if (start.compareAndSet(false, true)) {
if (policy != null) {
eventService.subscribe(new EventSubscriber<Object>() {
@Override
public void onEvent(Object event) {
propagate(event);
}
});
}
if (eventSubscriptions != null) {
final Map<URI, Set<String>> cfg = new HashMap<>();
for (Pair<String, String> service : eventSubscriptions) {
try {
final URI key = new URI(service.first);
Set<String> values = cfg.get(key);
if (values == null) {
cfg.put(key, values = new LinkedHashSet<>());
}
if (service.second != null) {
values.add(service.second);
}
} catch (URISyntaxException e) {
LOG.error(e.getMessage(), e);
}
}
if (!cfg.isEmpty()) {
executor = Executors.newCachedThreadPool(new ThreadFactoryBuilder().setNameFormat("WSocketEventBusClient-%d").setUncaughtExceptionHandler(LoggingUncaughtExceptionHandler.getInstance()).setDaemon(true).build());
for (Map.Entry<URI, Set<String>> entry : cfg.entrySet()) {
executor.execute(new ConnectTask(entry.getKey(), entry.getValue()));
}
}
}
}
}
use of com.google.common.util.concurrent.ThreadFactoryBuilder in project che by eclipse.
the class ServerContainerInitializeListener method createExecutor.
protected ExecutorService createExecutor(final ServletContext servletContext) {
final EverrestConfiguration everrestConfiguration = getEverrestConfiguration(servletContext);
final String threadNameFormat = "everrest.WSConnection." + servletContext.getServletContextName() + "-%d";
return Executors.newFixedThreadPool(everrestConfiguration.getAsynchronousPoolSize(), new ThreadFactoryBuilder().setNameFormat(threadNameFormat).setUncaughtExceptionHandler(LoggingUncaughtExceptionHandler.getInstance()).setDaemon(true).build());
}
use of com.google.common.util.concurrent.ThreadFactoryBuilder in project dropwizard by dropwizard.
the class LifecycleEnvironmentTest method executorServiceThreadFactory.
@Test
public void executorServiceThreadFactory() throws ExecutionException, InterruptedException {
final String expectedName = "DropWizard ThreadFactory Test";
final String expectedNamePattern = expectedName + "-%d";
final ThreadFactory tfactory = (new ThreadFactoryBuilder()).setDaemon(false).setNameFormat(expectedNamePattern).build();
final ExecutorService executorService = environment.executorService("Dropwizard Service", tfactory).build();
final Future<Boolean> isFactoryInUse = executorService.submit(() -> Thread.currentThread().getName().startsWith(expectedName));
assertThat(isFactoryInUse.get()).isTrue();
}
use of com.google.common.util.concurrent.ThreadFactoryBuilder in project druid by druid-io.
the class IncrementalIndexTest method testConcurrentAddRead.
@Test(timeout = 60_000L)
public void testConcurrentAddRead() throws InterruptedException, ExecutionException {
final int dimensionCount = 5;
final ArrayList<AggregatorFactory> ingestAggregatorFactories = new ArrayList<>(dimensionCount + 1);
ingestAggregatorFactories.add(new CountAggregatorFactory("rows"));
for (int i = 0; i < dimensionCount; ++i) {
ingestAggregatorFactories.add(new LongSumAggregatorFactory(String.format("sumResult%s", i), String.format("Dim_%s", i)));
ingestAggregatorFactories.add(new DoubleSumAggregatorFactory(String.format("doubleSumResult%s", i), String.format("Dim_%s", i)));
}
final ArrayList<AggregatorFactory> queryAggregatorFactories = new ArrayList<>(dimensionCount + 1);
queryAggregatorFactories.add(new CountAggregatorFactory("rows"));
for (int i = 0; i < dimensionCount; ++i) {
queryAggregatorFactories.add(new LongSumAggregatorFactory(String.format("sumResult%s", i), String.format("sumResult%s", i)));
queryAggregatorFactories.add(new DoubleSumAggregatorFactory(String.format("doubleSumResult%s", i), String.format("doubleSumResult%s", i)));
}
final IncrementalIndex index = closer.closeLater(indexCreator.createIndex(ingestAggregatorFactories.toArray(new AggregatorFactory[dimensionCount])));
final int concurrentThreads = 2;
final int elementsPerThread = 10_000;
final ListeningExecutorService indexExecutor = MoreExecutors.listeningDecorator(Executors.newFixedThreadPool(concurrentThreads, new ThreadFactoryBuilder().setDaemon(false).setNameFormat("index-executor-%d").setPriority(Thread.MIN_PRIORITY).build()));
final ListeningExecutorService queryExecutor = MoreExecutors.listeningDecorator(Executors.newFixedThreadPool(concurrentThreads, new ThreadFactoryBuilder().setDaemon(false).setNameFormat("query-executor-%d").build()));
final long timestamp = System.currentTimeMillis();
final Interval queryInterval = new Interval("1900-01-01T00:00:00Z/2900-01-01T00:00:00Z");
final List<ListenableFuture<?>> indexFutures = Lists.newArrayListWithExpectedSize(concurrentThreads);
final List<ListenableFuture<?>> queryFutures = Lists.newArrayListWithExpectedSize(concurrentThreads);
final Segment incrementalIndexSegment = new IncrementalIndexSegment(index, null);
final QueryRunnerFactory factory = new TimeseriesQueryRunnerFactory(new TimeseriesQueryQueryToolChest(QueryRunnerTestHelper.NoopIntervalChunkingQueryRunnerDecorator()), new TimeseriesQueryEngine(), QueryRunnerTestHelper.NOOP_QUERYWATCHER);
final AtomicInteger currentlyRunning = new AtomicInteger(0);
final AtomicInteger concurrentlyRan = new AtomicInteger(0);
final AtomicInteger someoneRan = new AtomicInteger(0);
final CountDownLatch startLatch = new CountDownLatch(1);
final CountDownLatch readyLatch = new CountDownLatch(concurrentThreads * 2);
final AtomicInteger queriesAccumualted = new AtomicInteger(0);
for (int j = 0; j < concurrentThreads; j++) {
indexFutures.add(indexExecutor.submit(new Runnable() {
@Override
public void run() {
readyLatch.countDown();
try {
startLatch.await();
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
throw Throwables.propagate(e);
}
currentlyRunning.incrementAndGet();
try {
for (int i = 0; i < elementsPerThread; i++) {
index.add(getLongRow(timestamp + i, i, dimensionCount));
someoneRan.incrementAndGet();
}
} catch (IndexSizeExceededException e) {
throw Throwables.propagate(e);
}
currentlyRunning.decrementAndGet();
}
}));
final TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource("xxx").granularity(Granularities.ALL).intervals(ImmutableList.of(queryInterval)).aggregators(queryAggregatorFactories).build();
queryFutures.add(queryExecutor.submit(new Runnable() {
@Override
public void run() {
readyLatch.countDown();
try {
startLatch.await();
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
throw Throwables.propagate(e);
}
while (concurrentlyRan.get() == 0) {
QueryRunner<Result<TimeseriesResultValue>> runner = new FinalizeResultsQueryRunner<Result<TimeseriesResultValue>>(factory.createRunner(incrementalIndexSegment), factory.getToolchest());
Map<String, Object> context = new HashMap<String, Object>();
Sequence<Result<TimeseriesResultValue>> sequence = runner.run(query, context);
for (Double result : sequence.accumulate(new Double[0], new Accumulator<Double[], Result<TimeseriesResultValue>>() {
@Override
public Double[] accumulate(Double[] accumulated, Result<TimeseriesResultValue> in) {
if (currentlyRunning.get() > 0) {
concurrentlyRan.incrementAndGet();
}
queriesAccumualted.incrementAndGet();
return Lists.asList(in.getValue().getDoubleMetric("doubleSumResult0"), accumulated).toArray(new Double[accumulated.length + 1]);
}
})) {
final Integer maxValueExpected = someoneRan.get() + concurrentThreads;
if (maxValueExpected > 0) {
// Eventually consistent, but should be somewhere in that range
// Actual result is validated after all writes are guaranteed done.
Assert.assertTrue(String.format("%d >= %g >= 0 violated", maxValueExpected, result), result >= 0 && result <= maxValueExpected);
}
}
}
}
}));
}
readyLatch.await();
startLatch.countDown();
List<ListenableFuture<?>> allFutures = new ArrayList<>(queryFutures.size() + indexFutures.size());
allFutures.addAll(queryFutures);
allFutures.addAll(indexFutures);
Futures.allAsList(allFutures).get();
Assert.assertTrue("Queries ran too fast", queriesAccumualted.get() > 0);
Assert.assertTrue("Did not hit concurrency, please try again", concurrentlyRan.get() > 0);
queryExecutor.shutdown();
indexExecutor.shutdown();
QueryRunner<Result<TimeseriesResultValue>> runner = new FinalizeResultsQueryRunner<Result<TimeseriesResultValue>>(factory.createRunner(incrementalIndexSegment), factory.getToolchest());
TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource("xxx").granularity(Granularities.ALL).intervals(ImmutableList.of(queryInterval)).aggregators(queryAggregatorFactories).build();
Map<String, Object> context = new HashMap<String, Object>();
List<Result<TimeseriesResultValue>> results = Sequences.toList(runner.run(query, context), new LinkedList<Result<TimeseriesResultValue>>());
boolean isRollup = index.isRollup();
for (Result<TimeseriesResultValue> result : results) {
Assert.assertEquals(elementsPerThread * (isRollup ? 1 : concurrentThreads), result.getValue().getLongMetric("rows").intValue());
for (int i = 0; i < dimensionCount; ++i) {
Assert.assertEquals(String.format("Failed long sum on dimension %d", i), elementsPerThread * concurrentThreads, result.getValue().getLongMetric(String.format("sumResult%s", i)).intValue());
Assert.assertEquals(String.format("Failed double sum on dimension %d", i), elementsPerThread * concurrentThreads, result.getValue().getDoubleMetric(String.format("doubleSumResult%s", i)).intValue());
}
}
}
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