use of io.druid.query.QueryRunner in project druid by druid-io.
the class GroupByBenchmark method makeMultiRunners.
private List<QueryRunner<Row>> makeMultiRunners() {
List<QueryRunner<Row>> runners = Lists.newArrayList();
for (int i = 0; i < numSegments; i++) {
String segmentName = "qIndex" + i;
QueryRunner<Row> runner = QueryBenchmarkUtil.makeQueryRunner(factory, segmentName, new QueryableIndexSegment(segmentName, queryableIndexes.get(i)));
runners.add(factory.getToolchest().preMergeQueryDecoration(runner));
}
return runners;
}
use of io.druid.query.QueryRunner 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);
}
}
use of io.druid.query.QueryRunner in project druid by druid-io.
the class TopNBenchmark method queryMultiQueryableIndex.
@Benchmark
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MICROSECONDS)
public void queryMultiQueryableIndex(Blackhole blackhole) throws Exception {
List<QueryRunner<Result<TopNResultValue>>> singleSegmentRunners = Lists.newArrayList();
QueryToolChest toolChest = factory.getToolchest();
for (int i = 0; i < numSegments; i++) {
String segmentName = "qIndex" + i;
QueryRunner<Result<TopNResultValue>> 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<TopNResultValue>> queryResult = theRunner.run(query, Maps.<String, Object>newHashMap());
List<Result<TopNResultValue>> results = Sequences.toList(queryResult, Lists.<Result<TopNResultValue>>newArrayList());
for (Result<TopNResultValue> result : results) {
blackhole.consume(result);
}
}
use of io.druid.query.QueryRunner in project druid by druid-io.
the class AppendTest method testSearch.
@Test
public void testSearch() {
List<Result<SearchResultValue>> expectedResults = Arrays.asList(new Result<SearchResultValue>(new DateTime("2011-01-12T00:00:00.000Z"), new SearchResultValue(Arrays.<SearchHit>asList(new SearchHit(placementishDimension, "a"), new SearchHit(qualityDimension, "automotive"), new SearchHit(placementDimension, "mezzanine"), new SearchHit(marketDimension, "total_market")))));
SearchQuery query = makeSearchQuery();
QueryRunner runner = TestQueryRunners.makeSearchQueryRunner(segment);
HashMap<String, Object> context = new HashMap<String, Object>();
TestHelper.assertExpectedResults(expectedResults, runner.run(query, context));
}
use of io.druid.query.QueryRunner in project druid by druid-io.
the class IndexMergerV9WithSpatialIndexTest method testSpatialQueryMorePoints.
@Test
public void testSpatialQueryMorePoints() {
TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource("test").granularity(Granularities.DAY).intervals(Arrays.asList(new Interval("2013-01-01/2013-01-07"))).filters(new SpatialDimFilter("dim.geo", new RectangularBound(new float[] { 0.0f, 0.0f }, new float[] { 9.0f, 9.0f }))).aggregators(Arrays.<AggregatorFactory>asList(new CountAggregatorFactory("rows"), new LongSumAggregatorFactory("val", "val"))).build();
List<Result<TimeseriesResultValue>> expectedResults = Arrays.asList(new Result<>(new DateTime("2013-01-01T00:00:00.000Z"), new TimeseriesResultValue(ImmutableMap.<String, Object>builder().put("rows", 1L).put("val", 17L).build())), new Result<>(new DateTime("2013-01-02T00:00:00.000Z"), new TimeseriesResultValue(ImmutableMap.<String, Object>builder().put("rows", 1L).put("val", 29L).build())), new Result<>(new DateTime("2013-01-03T00:00:00.000Z"), new TimeseriesResultValue(ImmutableMap.<String, Object>builder().put("rows", 1L).put("val", 13L).build())), new Result<>(new DateTime("2013-01-04T00:00:00.000Z"), new TimeseriesResultValue(ImmutableMap.<String, Object>builder().put("rows", 1L).put("val", 91L).build())), new Result<>(new DateTime("2013-01-05T00:00:00.000Z"), new TimeseriesResultValue(ImmutableMap.<String, Object>builder().put("rows", 1L).put("val", 47L).build())));
try {
TimeseriesQueryRunnerFactory factory = new TimeseriesQueryRunnerFactory(new TimeseriesQueryQueryToolChest(QueryRunnerTestHelper.NoopIntervalChunkingQueryRunnerDecorator()), new TimeseriesQueryEngine(), QueryRunnerTestHelper.NOOP_QUERYWATCHER);
QueryRunner runner = new FinalizeResultsQueryRunner(factory.createRunner(segment), factory.getToolchest());
TestHelper.assertExpectedResults(expectedResults, runner.run(query, Maps.newHashMap()));
} catch (Exception e) {
throw Throwables.propagate(e);
}
}
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