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

Example 26 with FinalizeResultsQueryRunner

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

the class SpatialFilterTest method testSpatialQuery.

@Test
public void testSpatialQuery() {
    TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource("test").granularity(Granularities.ALL).intervals(Collections.singletonList(Intervals.of("2013-01-01/2013-01-07"))).filters(new SpatialDimFilter("dim.geo", new RadiusBound(new float[] { 0.0f, 0.0f }, 5))).aggregators(Arrays.asList(new CountAggregatorFactory("rows"), new LongSumAggregatorFactory("val", "val"))).build();
    List<Result<TimeseriesResultValue>> expectedResults = Collections.singletonList(new Result<TimeseriesResultValue>(DateTimes.of("2013-01-01T00:00:00.000Z"), new TimeseriesResultValue(ImmutableMap.<String, Object>builder().put("rows", 3L).put("val", 59L).build())));
    try {
        TimeseriesQueryRunnerFactory factory = new TimeseriesQueryRunnerFactory(new TimeseriesQueryQueryToolChest(), new TimeseriesQueryEngine(), QueryRunnerTestHelper.NOOP_QUERYWATCHER);
        QueryRunner runner = new FinalizeResultsQueryRunner(factory.createRunner(segment), factory.getToolchest());
        TestHelper.assertExpectedResults(expectedResults, runner.run(QueryPlus.wrap(query)));
    } catch (Exception e) {
        throw new RuntimeException(e);
    }
}

Example 27 with FinalizeResultsQueryRunner

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

the class SpatialFilterTest method testSpatialQueryWithOtherSpatialDim.

@Test
public void testSpatialQueryWithOtherSpatialDim() {
    TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource("test").granularity(Granularities.ALL).intervals(Collections.singletonList(Intervals.of("2013-01-01/2013-01-07"))).filters(new SpatialDimFilter("spatialIsRad", new RadiusBound(new float[] { 0.0f, 0.0f }, 5))).aggregators(Arrays.asList(new CountAggregatorFactory("rows"), new LongSumAggregatorFactory("val", "val"))).build();
    List<Result<TimeseriesResultValue>> expectedResults = Collections.singletonList(new Result<TimeseriesResultValue>(DateTimes.of("2013-01-01T00:00:00.000Z"), new TimeseriesResultValue(ImmutableMap.<String, Object>builder().put("rows", 1L).put("val", 13L).build())));
    try {
        TimeseriesQueryRunnerFactory factory = new TimeseriesQueryRunnerFactory(new TimeseriesQueryQueryToolChest(), new TimeseriesQueryEngine(), QueryRunnerTestHelper.NOOP_QUERYWATCHER);
        QueryRunner runner = new FinalizeResultsQueryRunner(factory.createRunner(segment), factory.getToolchest());
        TestHelper.assertExpectedResults(expectedResults, runner.run(QueryPlus.wrap(query)));
    } catch (Exception e) {
        throw new RuntimeException(e);
    }
}

Example 28 with FinalizeResultsQueryRunner

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

the class ServerManager method getQueryRunnerForSegments.

@Override
public <T> QueryRunner<T> getQueryRunnerForSegments(Query<T> query, Iterable<SegmentDescriptor> specs) {
    final QueryRunnerFactory<T, Query<T>> factory = conglomerate.findFactory(query);
    if (factory == null) {
        final QueryUnsupportedException e = new QueryUnsupportedException(StringUtils.format("Unknown query type, [%s]", query.getClass()));
        log.makeAlert(e, "Error while executing a query[%s]", query.getId()).addData("dataSource", query.getDataSource()).emit();
        throw e;
    }
    final QueryToolChest<T, Query<T>> toolChest = factory.getToolchest();
    final DataSourceAnalysis analysis = DataSourceAnalysis.forDataSource(query.getDataSource());
    final AtomicLong cpuTimeAccumulator = new AtomicLong(0L);
    final VersionedIntervalTimeline<String, ReferenceCountingSegment> timeline;
    final Optional<VersionedIntervalTimeline<String, ReferenceCountingSegment>> maybeTimeline = segmentManager.getTimeline(analysis);
    // Make sure this query type can handle the subquery, if present.
    if (analysis.isQuery() && !toolChest.canPerformSubquery(((QueryDataSource) analysis.getDataSource()).getQuery())) {
        throw new ISE("Cannot handle subquery: %s", analysis.getDataSource());
    }
    if (maybeTimeline.isPresent()) {
        timeline = maybeTimeline.get();
    } else {
        return new ReportTimelineMissingSegmentQueryRunner<>(Lists.newArrayList(specs));
    }
    // segmentMapFn maps each base Segment into a joined Segment if necessary.
    final Function<SegmentReference, SegmentReference> segmentMapFn = joinableFactoryWrapper.createSegmentMapFn(analysis.getJoinBaseTableFilter().map(Filters::toFilter).orElse(null), analysis.getPreJoinableClauses(), cpuTimeAccumulator, analysis.getBaseQuery().orElse(query));
    // We compute the join cache key here itself so it doesn't need to be re-computed for every segment
    final Optional<byte[]> cacheKeyPrefix = analysis.isJoin() ? joinableFactoryWrapper.computeJoinDataSourceCacheKey(analysis) : Optional.of(StringUtils.EMPTY_BYTES);
    final FunctionalIterable<QueryRunner<T>> queryRunners = FunctionalIterable.create(specs).transformCat(descriptor -> Collections.singletonList(buildQueryRunnerForSegment(query, descriptor, factory, toolChest, timeline, segmentMapFn, cpuTimeAccumulator, cacheKeyPrefix)));
    return CPUTimeMetricQueryRunner.safeBuild(new FinalizeResultsQueryRunner<>(toolChest.mergeResults(factory.mergeRunners(queryProcessingPool, queryRunners)), toolChest), toolChest, emitter, cpuTimeAccumulator, true);
}

Example 29 with FinalizeResultsQueryRunner

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

the class GroupByBenchmark method queryMultiQueryableIndexWithSpillingTTFR.

/**
 * Measure the time to produce the first ResultRow unlike {@link #queryMultiQueryableIndexWithSpilling} measures
 * total query processing time. This measure is useful since the Broker can start merging as soon as the first
 * result is returned.
 */
@Benchmark
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MICROSECONDS)
public void queryMultiQueryableIndexWithSpillingTTFR(Blackhole blackhole, QueryableIndexState state) throws IOException {
    QueryToolChest<ResultRow, GroupByQuery> toolChest = factory.getToolchest();
    QueryRunner<ResultRow> theRunner = new FinalizeResultsQueryRunner<>(toolChest.mergeResults(factory.mergeRunners(state.executorService, makeMultiRunners(state))), (QueryToolChest) toolChest);
    final GroupByQuery spillingQuery = query.withOverriddenContext(ImmutableMap.of("bufferGrouperMaxSize", 4000));
    Sequence<ResultRow> queryResult = theRunner.run(QueryPlus.wrap(spillingQuery), ResponseContext.createEmpty());
    Yielder<ResultRow> yielder = Yielders.each(queryResult);
    yielder.close();
}

Example 30 with FinalizeResultsQueryRunner

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

the class TimeseriesBenchmark 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();
}