Examples with QueryToolChest org.apache.druid.query.QueryToolChest used on opensource projects

Example 31 with QueryToolChest

use of org.apache.druid.query.QueryToolChest in project druid by druid-io.

the class ScanBenchmark method runQuery.

private static <T> List<T> runQuery(QueryRunnerFactory factory, QueryRunner runner, Query<T> query) {
    QueryToolChest toolChest = factory.getToolchest();
    QueryRunner<T> theRunner = new FinalizeResultsQueryRunner<>(toolChest.mergeResults(toolChest.preMergeQueryDecoration(runner)), toolChest);
    Sequence<T> queryResult = theRunner.run(QueryPlus.wrap(query), ResponseContext.createEmpty());
    return queryResult.toList();
}

Example 32 with QueryToolChest

use of org.apache.druid.query.QueryToolChest in project druid by druid-io.

the class ScanBenchmark method queryMultiQueryableIndex.

@Benchmark
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MICROSECONDS)
public void queryMultiQueryableIndex(Blackhole blackhole, QueryableIndexState state) {
    List<SegmentDescriptor> segmentDescriptors = new ArrayList<>();
    List<QueryRunner<Row>> runners = new ArrayList<>();
    QueryToolChest toolChest = factory.getToolchest();
    for (int i = 0; i < state.numSegments; i++) {
        String segmentName = "qIndex";
        final QueryRunner<Result<ScanResultValue>> runner = QueryBenchmarkUtil.makeQueryRunner(factory, SegmentId.dummy(segmentName), new QueryableIndexSegment(state.qIndexes.get(i), SegmentId.dummy(segmentName, i)));
        segmentDescriptors.add(new SegmentDescriptor(Intervals.ETERNITY, "dummy_version", i));
        runners.add(toolChest.preMergeQueryDecoration(runner));
    }
    QueryRunner theRunner = toolChest.postMergeQueryDecoration(new FinalizeResultsQueryRunner<>(toolChest.mergeResults(factory.mergeRunners(state.executorService, runners)), toolChest));
    Query effectiveQuery = query.withDataSource(new TableDataSource("qIndex")).withQuerySegmentSpec(new MultipleSpecificSegmentSpec(segmentDescriptors)).withOverriddenContext(ImmutableMap.of(ScanQuery.CTX_KEY_OUTERMOST, false));
    Sequence<Result<ScanResultValue>> queryResult = theRunner.run(QueryPlus.wrap(effectiveQuery), ResponseContext.createEmpty());
    List<Result<ScanResultValue>> results = queryResult.toList();
    blackhole.consume(results);
}

Example 33 with QueryToolChest

use of org.apache.druid.query.QueryToolChest in project druid by druid-io.

the class TimeseriesBenchmark method queryMultiQueryableIndex.

@Benchmark
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MICROSECONDS)
public void queryMultiQueryableIndex(Blackhole blackhole, QueryableIndexState state) {
    List<QueryRunner<Result<TimeseriesResultValue>>> singleSegmentRunners = new ArrayList<>();
    QueryToolChest toolChest = factory.getToolchest();
    for (int i = 0; i < state.numSegments; i++) {
        SegmentId segmentId = SegmentId.dummy("qIndex " + i);
        QueryRunner<Result<TimeseriesResultValue>> runner = QueryBenchmarkUtil.makeQueryRunner(factory, segmentId, new QueryableIndexSegment(state.qIndexes.get(i), segmentId));
        singleSegmentRunners.add(toolChest.preMergeQueryDecoration(runner));
    }
    QueryRunner theRunner = toolChest.postMergeQueryDecoration(new FinalizeResultsQueryRunner<>(toolChest.mergeResults(factory.mergeRunners(state.executorService, singleSegmentRunners)), toolChest));
    Sequence<Result<TimeseriesResultValue>> queryResult = theRunner.run(QueryPlus.wrap(query), ResponseContext.createEmpty());
    List<Result<TimeseriesResultValue>> results = queryResult.toList();
    blackhole.consume(results);
}

Example 34 with QueryToolChest

use of org.apache.druid.query.QueryToolChest in project druid by druid-io.

the class TopNTypeInterfaceBenchmark method runQuery.

private static <T> List<T> runQuery(QueryRunnerFactory factory, QueryRunner runner, Query<T> query) {
    QueryToolChest toolChest = factory.getToolchest();
    QueryRunner<T> theRunner = new FinalizeResultsQueryRunner<>(toolChest.mergeResults(toolChest.preMergeQueryDecoration(runner)), toolChest);
    Sequence<T> queryResult = theRunner.run(QueryPlus.wrap(query), ResponseContext.createEmpty());
    return queryResult.toList();
}

Example 35 with QueryToolChest

use of org.apache.druid.query.QueryToolChest in project druid by druid-io.

the class TimeCompareBenchmark method setup.

@Setup
public void setup() throws IOException {
    log.info("SETUP CALLED AT " + System.currentTimeMillis());
    ComplexMetrics.registerSerde("hyperUnique", new HyperUniquesSerde());
    executorService = Execs.multiThreaded(numSegments, "TopNThreadPool");
    setupQueries();
    String schemaName = "basic";
    schemaInfo = GeneratorBasicSchemas.SCHEMA_MAP.get(schemaName);
    segmentIntervals = new Interval[numSegments];
    long startMillis = schemaInfo.getDataInterval().getStartMillis();
    long endMillis = schemaInfo.getDataInterval().getEndMillis();
    long partialIntervalMillis = (endMillis - startMillis) / numSegments;
    for (int i = 0; i < numSegments; i++) {
        long partialEndMillis = startMillis + partialIntervalMillis;
        segmentIntervals[i] = Intervals.utc(startMillis, partialEndMillis);
        log.info("Segment [%d] with interval [%s]", i, segmentIntervals[i]);
        startMillis = partialEndMillis;
    }
    incIndexes = new ArrayList<>();
    for (int i = 0; i < numSegments; i++) {
        log.info("Generating rows for segment " + i);
        DataGenerator gen = new DataGenerator(schemaInfo.getColumnSchemas(), RNG_SEED + i, segmentIntervals[i], rowsPerSegment);
        IncrementalIndex incIndex = makeIncIndex();
        for (int j = 0; j < rowsPerSegment; j++) {
            InputRow row = gen.nextRow();
            if (j % 10000 == 0) {
                log.info(j + " rows generated.");
            }
            incIndex.add(row);
        }
        incIndexes.add(incIndex);
    }
    tmpDir = FileUtils.createTempDir();
    log.info("Using temp dir: " + tmpDir.getAbsolutePath());
    qIndexes = new ArrayList<>();
    for (int i = 0; i < numSegments; i++) {
        File indexFile = INDEX_MERGER_V9.persist(incIndexes.get(i), tmpDir, new IndexSpec(), null);
        QueryableIndex qIndex = INDEX_IO.loadIndex(indexFile);
        qIndexes.add(qIndex);
    }
    List<QueryRunner<Result<TopNResultValue>>> singleSegmentRunners = new ArrayList<>();
    QueryToolChest toolChest = topNFactory.getToolchest();
    for (int i = 0; i < numSegments; i++) {
        SegmentId segmentId = SegmentId.dummy("qIndex " + i);
        QueryRunner<Result<TopNResultValue>> runner = QueryBenchmarkUtil.makeQueryRunner(topNFactory, segmentId, new QueryableIndexSegment(qIndexes.get(i), segmentId));
        singleSegmentRunners.add(new PerSegmentOptimizingQueryRunner<>(toolChest.preMergeQueryDecoration(runner), new PerSegmentQueryOptimizationContext(new SegmentDescriptor(segmentIntervals[i], "1", 0))));
    }
    topNRunner = toolChest.postMergeQueryDecoration(new FinalizeResultsQueryRunner<>(toolChest.mergeResults(topNFactory.mergeRunners(executorService, singleSegmentRunners)), toolChest));
    List<QueryRunner<Result<TimeseriesResultValue>>> singleSegmentRunnersT = new ArrayList<>();
    QueryToolChest toolChestT = timeseriesFactory.getToolchest();
    for (int i = 0; i < numSegments; i++) {
        SegmentId segmentId = SegmentId.dummy("qIndex " + i);
        QueryRunner<Result<TimeseriesResultValue>> runner = QueryBenchmarkUtil.makeQueryRunner(timeseriesFactory, segmentId, new QueryableIndexSegment(qIndexes.get(i), segmentId));
        singleSegmentRunnersT.add(new PerSegmentOptimizingQueryRunner<>(toolChestT.preMergeQueryDecoration(runner), new PerSegmentQueryOptimizationContext(new SegmentDescriptor(segmentIntervals[i], "1", 0))));
    }
    timeseriesRunner = toolChestT.postMergeQueryDecoration(new FinalizeResultsQueryRunner<>(toolChestT.mergeResults(timeseriesFactory.mergeRunners(executorService, singleSegmentRunnersT)), toolChestT));
}