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

Example 41 with ListenableFuture

use of com.google.common.util.concurrent.ListenableFuture in project druid by druid-io.

the class CompressionStrategyTest method testKnownSizeConcurrency.

@Test(timeout = 60000)
public void testKnownSizeConcurrency() throws Exception {
    final int numThreads = 20;
    ListeningExecutorService threadPoolExecutor = MoreExecutors.listeningDecorator(Executors.newFixedThreadPool(numThreads));
    List<ListenableFuture<?>> results = new ArrayList<>();
    for (int i = 0; i < numThreads; ++i) {
        results.add(threadPoolExecutor.submit(new Runnable() {

            @Override
            public void run() {
                ByteBuffer compressed = ByteBuffer.wrap(compressionStrategy.getCompressor().compress(originalData));
                ByteBuffer output = ByteBuffer.allocate(originalData.length);
                // TODO: Lambdas would be nice here whenever we use Java 8
                compressionStrategy.getDecompressor().decompress(compressed, compressed.array().length, output, originalData.length);
                byte[] checkArray = new byte[DATA_SIZER];
                output.get(checkArray);
                Assert.assertArrayEquals("Uncompressed data does not match", originalData, checkArray);
            }
        }));
    }
    Futures.allAsList(results).get();
}

Example 42 with ListenableFuture

use of com.google.common.util.concurrent.ListenableFuture 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());
        }
    }
}

Example 43 with ListenableFuture

use of com.google.common.util.concurrent.ListenableFuture in project druid by druid-io.

the class BenchmarkIndexibleWrites method testConcurrentReads.

/**
   BenchmarkIndexibleWrites.TestConcurrentReads[0]: [measured 100 out of 200 rounds, threads: 1 (sequential)]
   round: 0.28 [+- 0.02], round.block: 0.00 [+- 0.00], round.gc: 0.02 [+- 0.00], GC.calls: 396, GC.time: 1.84, time.total: 59.98, time.warmup: 30.51, time.bench: 29.48
   BenchmarkIndexibleWrites.TestConcurrentReads[1]: [measured 100 out of 200 rounds, threads: 1 (sequential)]
   round: 0.12 [+- 0.01], round.block: 0.00 [+- 0.00], round.gc: 0.02 [+- 0.00], GC.calls: 396, GC.time: 2.05, time.total: 29.21, time.warmup: 14.65, time.bench: 14.55

   */
@BenchmarkOptions(warmupRounds = 100, benchmarkRounds = 100, clock = Clock.REAL_TIME, callgc = true)
@Ignore
@Test
public void testConcurrentReads() throws ExecutionException, InterruptedException {
    final ListeningExecutorService executorService = MoreExecutors.listeningDecorator(Executors.newFixedThreadPool(concurrentThreads, new ThreadFactoryBuilder().setDaemon(false).setNameFormat("indexible-writes-benchmark-reader-%d").build()));
    final AtomicInteger index = new AtomicInteger(0);
    final AtomicInteger queryableIndex = new AtomicInteger(0);
    List<ListenableFuture<?>> futures = new LinkedList<>();
    final Integer loops = totalIndexSize / concurrentThreads;
    final AtomicBoolean done = new AtomicBoolean(false);
    final CountDownLatch start = new CountDownLatch(1);
    for (int i = 0; i < concurrentThreads; ++i) {
        futures.add(executorService.submit(new Runnable() {

            @Override
            public void run() {
                try {
                    start.await();
                } catch (InterruptedException e) {
                    throw Throwables.propagate(e);
                }
                final Random rndGen = new Random();
                while (!done.get()) {
                    Integer idx = rndGen.nextInt(queryableIndex.get() + 1);
                    Assert.assertEquals(idx, concurrentIndexible.get(idx));
                }
            }
        }));
    }
    {
        final Integer idx = index.getAndIncrement();
        concurrentIndexible.set(idx, idx);
        start.countDown();
    }
    for (int i = 1; i < totalIndexSize; ++i) {
        final Integer idx = index.getAndIncrement();
        concurrentIndexible.set(idx, idx);
        queryableIndex.incrementAndGet();
    }
    done.set(true);
    Futures.allAsList(futures).get();
    executorService.shutdown();
    Assert.assertTrue(String.format("Index too small %d, expected %d across %d loops", index.get(), totalIndexSize, loops), index.get() >= totalIndexSize);
    for (int i = 0; i < index.get(); ++i) {
        Assert.assertEquals(i, concurrentIndexible.get(i).intValue());
    }
    concurrentIndexible.clear();
    futures.clear();
}

Example 44 with ListenableFuture

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

the class ZKDiscoveryService method createServiceLoader.

/**
   * Creates a CacheLoader for creating live Iterable for watching instances changes for a given service.
   */
private CacheLoader<String, ServiceDiscovered> createServiceLoader() {
    return new CacheLoader<String, ServiceDiscovered>() {

        @Override
        public ServiceDiscovered load(String service) throws Exception {
            final DefaultServiceDiscovered serviceDiscovered = new DefaultServiceDiscovered(service);
            final String serviceBase = "/" + service;
            // Watch for children changes in /service
            ZKOperations.watchChildren(zkClient, serviceBase, new ZKOperations.ChildrenCallback() {

                @Override
                public void updated(NodeChildren nodeChildren) {
                    // Fetch data of all children nodes in parallel.
                    List<String> children = nodeChildren.getChildren();
                    List<OperationFuture<NodeData>> dataFutures = Lists.newArrayListWithCapacity(children.size());
                    for (String child : children) {
                        dataFutures.add(zkClient.getData(serviceBase + "/" + child));
                    }
                    // Update the service map when all fetching are done.
                    final ListenableFuture<List<NodeData>> fetchFuture = Futures.successfulAsList(dataFutures);
                    fetchFuture.addListener(new Runnable() {

                        @Override
                        public void run() {
                            ImmutableSet.Builder<Discoverable> builder = ImmutableSet.builder();
                            for (NodeData nodeData : Futures.getUnchecked(fetchFuture)) {
                                // For successful fetch, decode the content.
                                if (nodeData != null) {
                                    Discoverable discoverable = DiscoverableAdapter.decode(nodeData.getData());
                                    if (discoverable != null) {
                                        builder.add(discoverable);
                                    }
                                }
                            }
                            serviceDiscovered.setDiscoverables(builder.build());
                        }
                    }, Threads.SAME_THREAD_EXECUTOR);
                }
            });
            return serviceDiscovered;
        }
    };
}

Example 45 with ListenableFuture

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

the class SimpleKafkaClient method preparePublish.

@Override
public PreparePublish preparePublish(final String topic, final Compression compression) {
    final Map<Integer, MessageSetEncoder> encoders = Maps.newHashMap();
    return new PreparePublish() {

        @Override
        public PreparePublish add(byte[] payload, Object partitionKey) {
            return add(ByteBuffer.wrap(payload), partitionKey);
        }

        @Override
        public PreparePublish add(ByteBuffer payload, Object partitionKey) {
            // TODO: Partition
            int partition = 0;
            MessageSetEncoder encoder = encoders.get(partition);
            if (encoder == null) {
                encoder = getEncoder(compression);
                encoders.put(partition, encoder);
            }
            encoder.add(ChannelBuffers.wrappedBuffer(payload));
            return this;
        }

        @Override
        public ListenableFuture<?> publish() {
            List<ListenableFuture<?>> futures = Lists.newArrayListWithCapacity(encoders.size());
            for (Map.Entry<Integer, MessageSetEncoder> entry : encoders.entrySet()) {
                futures.add(doPublish(topic, entry.getKey(), entry.getValue().finish()));
            }
            encoders.clear();
            return Futures.allAsList(futures);
        }

        private ListenableFuture<?> doPublish(String topic, int partition, ChannelBuffer messageSet) {
            final KafkaRequest request = KafkaRequest.createProduce(topic, partition, messageSet);
            final SettableFuture<?> result = SettableFuture.create();
            final ConnectionPool.ConnectResult connection = connectionPool.connect(getTopicBroker(topic, partition).getAddress());
            connection.getChannelFuture().addListener(new ChannelFutureListener() {

                @Override
                public void operationComplete(ChannelFuture future) throws Exception {
                    try {
                        future.getChannel().write(request).addListener(getPublishChannelFutureListener(result, null, connection));
                    } catch (Exception e) {
                        result.setException(e);
                    }
                }
            });
            return result;
        }
    };
}