Examples with ThreadFactoryBuilder com.google.common.util.concurrent.ThreadFactoryBuilder used on opensource projects

Example 26 with ThreadFactoryBuilder

use of com.google.common.util.concurrent.ThreadFactoryBuilder in project weave by continuuity.

the class TrackerService method startUp.

@Override
protected void startUp() throws Exception {
    Executor bossThreads = Executors.newFixedThreadPool(NUM_BOSS_THREADS, new ThreadFactoryBuilder().setDaemon(true).setNameFormat("boss-thread").build());
    Executor workerThreads = Executors.newCachedThreadPool(new ThreadFactoryBuilder().setDaemon(true).setNameFormat("worker-thread#%d").build());
    ChannelFactory factory = new NioServerSocketChannelFactory(bossThreads, workerThreads);
    bootstrap = new ServerBootstrap(factory);
    bootstrap.setPipelineFactory(new ChannelPipelineFactory() {

        public ChannelPipeline getPipeline() {
            ChannelPipeline pipeline = Channels.pipeline();
            pipeline.addLast("decoder", new HttpRequestDecoder());
            pipeline.addLast("aggregator", new HttpChunkAggregator(MAX_INPUT_SIZE));
            pipeline.addLast("encoder", new HttpResponseEncoder());
            pipeline.addLast("compressor", new HttpContentCompressor());
            pipeline.addLast("handler", new ReportHandler(resourceReport));
            return pipeline;
        }
    });
    Channel channel = bootstrap.bind(new InetSocketAddress(host, 0));
    bindAddress = (InetSocketAddress) channel.getLocalAddress();
    url = URI.create(String.format("http://%s:%d", host, bindAddress.getPort())).resolve(TrackerService.PATH).toURL();
    channelGroup.add(channel);
}

Example 27 with ThreadFactoryBuilder

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()));
                }
            }
        }
    }
}

Example 28 with ThreadFactoryBuilder

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());
}

Example 29 with ThreadFactoryBuilder

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();
}

Example 30 with ThreadFactoryBuilder

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());
        }
    }
}