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

Example 1 with PerSegmentQueryOptimizationContext

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

the class ServerManager method buildAndDecorateQueryRunner.

private <T> QueryRunner<T> buildAndDecorateQueryRunner(final QueryRunnerFactory<T, Query<T>> factory, final QueryToolChest<T, Query<T>> toolChest, final SegmentReference segment, final Optional<byte[]> cacheKeyPrefix, final SegmentDescriptor segmentDescriptor, final AtomicLong cpuTimeAccumulator) {
    final SpecificSegmentSpec segmentSpec = new SpecificSegmentSpec(segmentDescriptor);
    final SegmentId segmentId = segment.getId();
    final Interval segmentInterval = segment.getDataInterval();
    // If the segment is closed after this line, ReferenceCountingSegmentQueryRunner will handle and do the right thing.
    if (segmentId == null || segmentInterval == null) {
        return new ReportTimelineMissingSegmentQueryRunner<>(segmentDescriptor);
    }
    String segmentIdString = segmentId.toString();
    MetricsEmittingQueryRunner<T> metricsEmittingQueryRunnerInner = new MetricsEmittingQueryRunner<>(emitter, toolChest, new ReferenceCountingSegmentQueryRunner<>(factory, segment, segmentDescriptor), QueryMetrics::reportSegmentTime, queryMetrics -> queryMetrics.segment(segmentIdString));
    StorageAdapter storageAdapter = segment.asStorageAdapter();
    long segmentMaxTime = storageAdapter.getMaxTime().getMillis();
    long segmentMinTime = storageAdapter.getMinTime().getMillis();
    Interval actualDataInterval = Intervals.utc(segmentMinTime, segmentMaxTime + 1);
    CachingQueryRunner<T> cachingQueryRunner = new CachingQueryRunner<>(segmentIdString, cacheKeyPrefix, segmentDescriptor, actualDataInterval, objectMapper, cache, toolChest, metricsEmittingQueryRunnerInner, cachePopulator, cacheConfig);
    BySegmentQueryRunner<T> bySegmentQueryRunner = new BySegmentQueryRunner<>(segmentId, segmentInterval.getStart(), cachingQueryRunner);
    MetricsEmittingQueryRunner<T> metricsEmittingQueryRunnerOuter = new MetricsEmittingQueryRunner<>(emitter, toolChest, bySegmentQueryRunner, QueryMetrics::reportSegmentAndCacheTime, queryMetrics -> queryMetrics.segment(segmentIdString)).withWaitMeasuredFromNow();
    SpecificSegmentQueryRunner<T> specificSegmentQueryRunner = new SpecificSegmentQueryRunner<>(metricsEmittingQueryRunnerOuter, segmentSpec);
    PerSegmentOptimizingQueryRunner<T> perSegmentOptimizingQueryRunner = new PerSegmentOptimizingQueryRunner<>(specificSegmentQueryRunner, new PerSegmentQueryOptimizationContext(segmentDescriptor));
    return new SetAndVerifyContextQueryRunner<>(serverConfig, CPUTimeMetricQueryRunner.safeBuild(perSegmentOptimizingQueryRunner, toolChest, emitter, cpuTimeAccumulator, false));
}

Example 2 with PerSegmentQueryOptimizationContext

use of org.apache.druid.query.PerSegmentQueryOptimizationContext 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));
}