Examples with Benchmark org.openjdk.jmh.annotations.Benchmark used on opensource projects

Example 66 with Benchmark

use of org.openjdk.jmh.annotations.Benchmark in project druid by druid-io.

the class SqlBenchmark method queryPlanner.

@Benchmark
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MILLISECONDS)
public void queryPlanner(Blackhole blackhole) throws Exception {
    try (final DruidPlanner planner = plannerFactory.createPlanner(null)) {
        final PlannerResult plannerResult = planner.plan(sqlQuery);
        final ArrayList<Object[]> results = Sequences.toList(plannerResult.run(), Lists.<Object[]>newArrayList());
        blackhole.consume(results);
    }
}

Example 67 with Benchmark

use of org.openjdk.jmh.annotations.Benchmark in project druid by druid-io.

the class TimeseriesBenchmark method queryFilteredSingleQueryableIndex.

@Benchmark
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MICROSECONDS)
public void queryFilteredSingleQueryableIndex(Blackhole blackhole) throws Exception {
    final QueryRunner<Result<TimeseriesResultValue>> runner = QueryBenchmarkUtil.makeQueryRunner(factory, "qIndex", new QueryableIndexSegment("qIndex", qIndexes.get(0)));
    DimFilter filter = new SelectorDimFilter("dimSequential", "399", null);
    Query filteredQuery = query.withDimFilter(filter);
    List<Result<TimeseriesResultValue>> results = TimeseriesBenchmark.runQuery(factory, runner, filteredQuery);
    for (Result<TimeseriesResultValue> result : results) {
        blackhole.consume(result);
    }
}

Example 68 with Benchmark

use of org.openjdk.jmh.annotations.Benchmark in project druid by druid-io.

the class TimeseriesBenchmark method querySingleIncrementalIndex.

@Benchmark
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MICROSECONDS)
public void querySingleIncrementalIndex(Blackhole blackhole) throws Exception {
    QueryRunner<Result<TimeseriesResultValue>> runner = QueryBenchmarkUtil.makeQueryRunner(factory, "incIndex", new IncrementalIndexSegment(incIndexes.get(0), "incIndex"));
    List<Result<TimeseriesResultValue>> results = TimeseriesBenchmark.runQuery(factory, runner, query);
    for (Result<TimeseriesResultValue> result : results) {
        blackhole.consume(result);
    }
}

Example 69 with Benchmark

use of org.openjdk.jmh.annotations.Benchmark in project druid by druid-io.

the class TimeseriesBenchmark method querySingleQueryableIndex.

@Benchmark
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MICROSECONDS)
public void querySingleQueryableIndex(Blackhole blackhole) throws Exception {
    final QueryRunner<Result<TimeseriesResultValue>> runner = QueryBenchmarkUtil.makeQueryRunner(factory, "qIndex", new QueryableIndexSegment("qIndex", qIndexes.get(0)));
    List<Result<TimeseriesResultValue>> results = TimeseriesBenchmark.runQuery(factory, runner, query);
    for (Result<TimeseriesResultValue> result : results) {
        blackhole.consume(result);
    }
}

Example 70 with Benchmark

use of org.openjdk.jmh.annotations.Benchmark in project druid by druid-io.

the class TimeseriesBenchmark method queryMultiQueryableIndex.

@Benchmark
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MICROSECONDS)
public void queryMultiQueryableIndex(Blackhole blackhole) throws Exception {
    List<QueryRunner<Result<TimeseriesResultValue>>> singleSegmentRunners = Lists.newArrayList();
    QueryToolChest toolChest = factory.getToolchest();
    for (int i = 0; i < numSegments; i++) {
        String segmentName = "qIndex" + i;
        QueryRunner<Result<TimeseriesResultValue>> runner = QueryBenchmarkUtil.makeQueryRunner(factory, segmentName, new QueryableIndexSegment(segmentName, qIndexes.get(i)));
        singleSegmentRunners.add(toolChest.preMergeQueryDecoration(runner));
    }
    QueryRunner theRunner = toolChest.postMergeQueryDecoration(new FinalizeResultsQueryRunner<>(toolChest.mergeResults(factory.mergeRunners(executorService, singleSegmentRunners)), toolChest));
    Sequence<Result<TimeseriesResultValue>> queryResult = theRunner.run(query, Maps.<String, Object>newHashMap());
    List<Result<TimeseriesResultValue>> results = Sequences.toList(queryResult, Lists.<Result<TimeseriesResultValue>>newArrayList());
    for (Result<TimeseriesResultValue> result : results) {
        blackhole.consume(result);
    }
}