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

Example 71 with BenchmarkMode

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

the class FilterPartitionBenchmark method longRead.

@Benchmark
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MICROSECONDS)
public void longRead(Blackhole blackhole) throws Exception {
    StorageAdapter sa = new QueryableIndexStorageAdapter(qIndex);
    Sequence<Cursor> cursors = makeCursors(sa, null);
    Sequence<List<Long>> longListSeq = readCursorsLong(cursors, blackhole);
    List<Long> strings = Sequences.toList(Sequences.limit(longListSeq, 1), Lists.<List<Long>>newArrayList()).get(0);
    for (Long st : strings) {
        blackhole.consume(st);
    }
}

Example 72 with BenchmarkMode

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

the class FilterPartitionBenchmark method timeFilterAll.

@Benchmark
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MICROSECONDS)
public void timeFilterAll(Blackhole blackhole) throws Exception {
    StorageAdapter sa = new QueryableIndexStorageAdapter(qIndex);
    Sequence<Cursor> cursors = makeCursors(sa, timeFilterAll);
    Sequence<List<Long>> longListSeq = readCursorsLong(cursors, blackhole);
    List<Long> strings = Sequences.toList(Sequences.limit(longListSeq, 1), Lists.<List<Long>>newArrayList()).get(0);
    for (Long st : strings) {
        blackhole.consume(st);
    }
}

Example 73 with BenchmarkMode

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

the class FilterPartitionBenchmark method readOrFilterCNF.

@Benchmark
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MICROSECONDS)
public void readOrFilterCNF(Blackhole blackhole) throws Exception {
    Filter filter = new NoBitmapSelectorFilter("dimSequential", "199");
    Filter filter2 = new AndFilter(Arrays.<Filter>asList(new SelectorFilter("dimMultivalEnumerated2", "Corundum"), new NoBitmapSelectorFilter("dimMultivalEnumerated", "Bar")));
    Filter orFilter = new OrFilter(Arrays.<Filter>asList(filter, filter2));
    StorageAdapter sa = new QueryableIndexStorageAdapter(qIndex);
    Sequence<Cursor> cursors = makeCursors(sa, Filters.convertToCNF(orFilter));
    Sequence<List<String>> stringListSeq = readCursors(cursors, blackhole);
    List<String> strings = Sequences.toList(Sequences.limit(stringListSeq, 1), Lists.<List<String>>newArrayList()).get(0);
    for (String st : strings) {
        blackhole.consume(st);
    }
}

Example 74 with BenchmarkMode

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

the class FilterPartitionBenchmark method readWithPreFilter.

@Benchmark
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MICROSECONDS)
public void readWithPreFilter(Blackhole blackhole) throws Exception {
    Filter filter = new SelectorFilter("dimSequential", "199");
    StorageAdapter sa = new QueryableIndexStorageAdapter(qIndex);
    Sequence<Cursor> cursors = makeCursors(sa, filter);
    Sequence<List<String>> stringListSeq = readCursors(cursors, blackhole);
    List<String> strings = Sequences.toList(Sequences.limit(stringListSeq, 1), Lists.<List<String>>newArrayList()).get(0);
    for (String st : strings) {
        blackhole.consume(st);
    }
}

Example 75 with BenchmarkMode

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

the class IncrementalIndexReadBenchmark method readWithFilters.

@Benchmark
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MICROSECONDS)
public void readWithFilters(Blackhole blackhole) throws Exception {
    DimFilter filter = new OrDimFilter(Arrays.asList(new BoundDimFilter("dimSequential", "-1", "-1", true, true, null, null, StringComparators.ALPHANUMERIC), new JavaScriptDimFilter("dimSequential", "function(x) { return false }", null, JavaScriptConfig.getEnabledInstance()), new RegexDimFilter("dimSequential", "X", null), new SearchQueryDimFilter("dimSequential", new ContainsSearchQuerySpec("X", false), null), new InDimFilter("dimSequential", Arrays.asList("X"), null)));
    IncrementalIndexStorageAdapter sa = new IncrementalIndexStorageAdapter(incIndex);
    Sequence<Cursor> cursors = makeCursors(sa, filter);
    Cursor cursor = Sequences.toList(Sequences.limit(cursors, 1), Lists.<Cursor>newArrayList()).get(0);
    List<DimensionSelector> selectors = new ArrayList<>();
    selectors.add(cursor.makeDimensionSelector(new DefaultDimensionSpec("dimSequential", null)));
    selectors.add(cursor.makeDimensionSelector(new DefaultDimensionSpec("dimZipf", null)));
    selectors.add(cursor.makeDimensionSelector(new DefaultDimensionSpec("dimUniform", null)));
    selectors.add(cursor.makeDimensionSelector(new DefaultDimensionSpec("dimSequentialHalfNull", null)));
    cursor.reset();
    while (!cursor.isDone()) {
        for (DimensionSelector selector : selectors) {
            IndexedInts row = selector.getRow();
            blackhole.consume(selector.lookupName(row.get(0)));
        }
        cursor.advance();
    }
}