Examples with BenchmarkOptions com.carrotsearch.junitbenchmarks.BenchmarkOptions used on opensource projects

Example 26 with BenchmarkOptions

use of com.carrotsearch.junitbenchmarks.BenchmarkOptions in project druid by druid-io.

the class OnheapIncrementalIndexBenchmark method testConcurrentAddRead.

@Ignore
@Test
@BenchmarkOptions(callgc = true, clock = Clock.REAL_TIME, warmupRounds = 10, benchmarkRounds = 20)
public void testConcurrentAddRead() throws InterruptedException, ExecutionException, NoSuchMethodException, IllegalAccessException, InvocationTargetException, InstantiationException {
    final int taskCount = 30;
    final int concurrentThreads = 3;
    final int elementsPerThread = 1 << 15;
    final OnheapIncrementalIndex incrementalIndex = this.incrementalIndex.getConstructor(Long.TYPE, Granularity.class, AggregatorFactory[].class, Integer.TYPE).newInstance(0, Granularities.NONE, factories, elementsPerThread * taskCount);
    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 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 = new LinkedList<>();
    final List<ListenableFuture<?>> queryFutures = new LinkedList<>();
    final Segment incrementalIndexSegment = new IncrementalIndexSegment(incrementalIndex, null);
    final QueryRunnerFactory factory = new TimeseriesQueryRunnerFactory(new TimeseriesQueryQueryToolChest(QueryRunnerTestHelper.NoopIntervalChunkingQueryRunnerDecorator()), new TimeseriesQueryEngine(), QueryRunnerTestHelper.NOOP_QUERYWATCHER);
    final AtomicInteger currentlyRunning = new AtomicInteger(0);
    final AtomicBoolean concurrentlyRan = new AtomicBoolean(false);
    final AtomicBoolean someoneRan = new AtomicBoolean(false);
    for (int j = 0; j < taskCount; j++) {
        indexFutures.add(indexExecutor.submit(new Runnable() {

            @Override
            public void run() {
                currentlyRunning.incrementAndGet();
                try {
                    for (int i = 0; i < elementsPerThread; i++) {
                        incrementalIndex.add(getLongRow(timestamp + i, 1, dimensionCount));
                    }
                } catch (IndexSizeExceededException e) {
                    throw Throwables.propagate(e);
                }
                currentlyRunning.decrementAndGet();
                someoneRan.set(true);
            }
        }));
        queryFutures.add(queryExecutor.submit(new Runnable() {

            @Override
            public void run() {
                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>();
                for (Result<TimeseriesResultValue> result : Sequences.toList(runner.run(query, context), new LinkedList<Result<TimeseriesResultValue>>())) {
                    if (someoneRan.get()) {
                        Assert.assertTrue(result.getValue().getDoubleMetric("doubleSumResult0") > 0);
                    }
                }
                if (currentlyRunning.get() > 0) {
                    concurrentlyRan.set(true);
                }
            }
        }));
    }
    List<ListenableFuture<?>> allFutures = new ArrayList<>(queryFutures.size() + indexFutures.size());
    allFutures.addAll(queryFutures);
    allFutures.addAll(indexFutures);
    Futures.allAsList(allFutures).get();
    //Assert.assertTrue("Did not hit concurrency, please try again", concurrentlyRan.get());
    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>>());
    final int expectedVal = elementsPerThread * taskCount;
    for (Result<TimeseriesResultValue> result : results) {
        Assert.assertEquals(elementsPerThread, result.getValue().getLongMetric("rows").intValue());
        for (int i = 0; i < dimensionCount; ++i) {
            Assert.assertEquals(String.format("Failed long sum on dimension %d", i), expectedVal, result.getValue().getLongMetric(String.format("sumResult%s", i)).intValue());
            Assert.assertEquals(String.format("Failed double sum on dimension %d", i), expectedVal, result.getValue().getDoubleMetric(String.format("doubleSumResult%s", i)).intValue());
        }
    }
}

Example 27 with BenchmarkOptions

use of com.carrotsearch.junitbenchmarks.BenchmarkOptions in project druid by druid-io.

the class CostBalancerStrategyBenchmark method testBenchmark.

@Test
@BenchmarkOptions(warmupRounds = 10, benchmarkRounds = 1000)
public void testBenchmark() throws InterruptedException {
    DataSegment segment = CostBalancerStrategyTest.getSegment(1000, "testds", interval1);
    selected = strategy.findNewSegmentHomeReplicator(segment, serverHolderList);
}

Example 28 with BenchmarkOptions

use of com.carrotsearch.junitbenchmarks.BenchmarkOptions in project parquet-mr by apache.

the class BenchmarkDeltaByteArray method benchmarkSortedStringsWithDeltaLengthByteArrayValuesWriter.

@BenchmarkOptions(benchmarkRounds = 20, warmupRounds = 4)
@Test
public void benchmarkSortedStringsWithDeltaLengthByteArrayValuesWriter() throws IOException {
    DeltaByteArrayWriter writer = new DeltaByteArrayWriter(64 * 1024, 64 * 1024, new DirectByteBufferAllocator());
    DeltaByteArrayReader reader = new DeltaByteArrayReader();
    Utils.writeData(writer, sortedVals);
    ByteBufferInputStream data = writer.getBytes().toInputStream();
    Binary[] bin = Utils.readData(reader, data, values.length);
    System.out.println("size " + data.position());
}

Example 29 with BenchmarkOptions

use of com.carrotsearch.junitbenchmarks.BenchmarkOptions in project parquet-mr by apache.

the class BenchmarkDeltaByteArray method benchmarkRandomStringsWithPlainValuesWriter.

@BenchmarkOptions(benchmarkRounds = 20, warmupRounds = 4)
@Test
public void benchmarkRandomStringsWithPlainValuesWriter() throws IOException {
    PlainValuesWriter writer = new PlainValuesWriter(64 * 1024, 64 * 1024, new DirectByteBufferAllocator());
    BinaryPlainValuesReader reader = new BinaryPlainValuesReader();
    Utils.writeData(writer, values);
    ByteBufferInputStream data = writer.getBytes().toInputStream();
    Binary[] bin = Utils.readData(reader, data, values.length);
    System.out.println("size " + data.position());
}

Example 30 with BenchmarkOptions

use of com.carrotsearch.junitbenchmarks.BenchmarkOptions in project parquet-mr by apache.

the class RandomWritingBenchmarkTest method writeDeltaPackingTest2.

@BenchmarkOptions(benchmarkRounds = 10, warmupRounds = 2)
@Test
public void writeDeltaPackingTest2() {
    DeltaBinaryPackingValuesWriter writer = new DeltaBinaryPackingValuesWriterForInteger(blockSize, miniBlockNum, 100, 20000, new DirectByteBufferAllocator());
    runWriteTest(writer);
}