use of org.apache.druid.query.timeseries.TimeseriesQuery in project druid by druid-io.
the class OnheapIncrementalIndexBenchmark method testConcurrentAddRead.
@Ignore
@Test
@BenchmarkOptions(callgc = true, clock = Clock.REAL_TIME, warmupRounds = 10, benchmarkRounds = 20)
public void testConcurrentAddRead() throws InterruptedException, ExecutionException, NoSuchMethodException, IllegalAccessException, InvocationTargetException, InstantiationException {
final int taskCount = 30;
final int concurrentThreads = 3;
final int elementsPerThread = 1 << 15;
final IncrementalIndex incrementalIndex = this.incrementalIndex.getConstructor(IncrementalIndexSchema.class, boolean.class, boolean.class, boolean.class, boolean.class, int.class).newInstance(new IncrementalIndexSchema.Builder().withMetrics(factories).build(), true, true, false, true, elementsPerThread * taskCount);
final ArrayList<AggregatorFactory> queryAggregatorFactories = new ArrayList<>(DIMENSION_COUNT + 1);
queryAggregatorFactories.add(new CountAggregatorFactory("rows"));
for (int i = 0; i < DIMENSION_COUNT; ++i) {
queryAggregatorFactories.add(new LongSumAggregatorFactory(StringUtils.format("sumResult%s", i), StringUtils.format("sumResult%s", i)));
queryAggregatorFactories.add(new DoubleSumAggregatorFactory(StringUtils.format("doubleSumResult%s", i), StringUtils.format("doubleSumResult%s", i)));
}
final ListeningExecutorService indexExecutor = MoreExecutors.listeningDecorator(Executors.newFixedThreadPool(concurrentThreads, new ThreadFactoryBuilder().setDaemon(false).setNameFormat("index-executor-%d").setPriority(Thread.MIN_PRIORITY).build()));
final ListeningExecutorService queryExecutor = MoreExecutors.listeningDecorator(Executors.newFixedThreadPool(concurrentThreads, new ThreadFactoryBuilder().setDaemon(false).setNameFormat("query-executor-%d").build()));
final long timestamp = System.currentTimeMillis();
final Interval queryInterval = Intervals.of("1900-01-01T00:00:00Z/2900-01-01T00:00:00Z");
final List<ListenableFuture<?>> indexFutures = new ArrayList<>();
final List<ListenableFuture<?>> queryFutures = new ArrayList<>();
final Segment incrementalIndexSegment = new IncrementalIndexSegment(incrementalIndex, null);
final QueryRunnerFactory factory = new TimeseriesQueryRunnerFactory(new TimeseriesQueryQueryToolChest(), new TimeseriesQueryEngine(), QueryRunnerTestHelper.NOOP_QUERYWATCHER);
final AtomicInteger currentlyRunning = new AtomicInteger(0);
final AtomicBoolean concurrentlyRan = new AtomicBoolean(false);
final AtomicBoolean someoneRan = new AtomicBoolean(false);
for (int j = 0; j < taskCount; j++) {
indexFutures.add(indexExecutor.submit(new Runnable() {
@Override
public void run() {
currentlyRunning.incrementAndGet();
try {
for (int i = 0; i < elementsPerThread; i++) {
incrementalIndex.add(getLongRow(timestamp + i, 1, DIMENSION_COUNT));
}
} catch (IndexSizeExceededException e) {
throw new RuntimeException(e);
}
currentlyRunning.decrementAndGet();
someoneRan.set(true);
}
}));
queryFutures.add(queryExecutor.submit(new Runnable() {
@Override
public void run() {
QueryRunner<Result<TimeseriesResultValue>> runner = new FinalizeResultsQueryRunner<Result<TimeseriesResultValue>>(factory.createRunner(incrementalIndexSegment), factory.getToolchest());
TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource("xxx").granularity(Granularities.ALL).intervals(ImmutableList.of(queryInterval)).aggregators(queryAggregatorFactories).build();
List<Result<TimeseriesResultValue>> results = runner.run(QueryPlus.wrap(query)).toList();
for (Result<TimeseriesResultValue> result : results) {
if (someoneRan.get()) {
Assert.assertTrue(result.getValue().getDoubleMetric("doubleSumResult0") > 0);
}
}
if (currentlyRunning.get() > 0) {
concurrentlyRan.set(true);
}
}
}));
}
List<ListenableFuture<?>> allFutures = new ArrayList<>(queryFutures.size() + indexFutures.size());
allFutures.addAll(queryFutures);
allFutures.addAll(indexFutures);
Futures.allAsList(allFutures).get();
// Assert.assertTrue("Did not hit concurrency, please try again", concurrentlyRan.get());
queryExecutor.shutdown();
indexExecutor.shutdown();
QueryRunner<Result<TimeseriesResultValue>> runner = new FinalizeResultsQueryRunner<Result<TimeseriesResultValue>>(factory.createRunner(incrementalIndexSegment), factory.getToolchest());
TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource("xxx").granularity(Granularities.ALL).intervals(ImmutableList.of(queryInterval)).aggregators(queryAggregatorFactories).build();
List<Result<TimeseriesResultValue>> results = runner.run(QueryPlus.wrap(query)).toList();
final int expectedVal = elementsPerThread * taskCount;
for (Result<TimeseriesResultValue> result : results) {
Assert.assertEquals(elementsPerThread, result.getValue().getLongMetric("rows").intValue());
for (int i = 0; i < DIMENSION_COUNT; ++i) {
Assert.assertEquals(StringUtils.format("Failed long sum on dimension %d", i), expectedVal, result.getValue().getLongMetric(StringUtils.format("sumResult%s", i)).intValue());
Assert.assertEquals(StringUtils.format("Failed double sum on dimension %d", i), expectedVal, result.getValue().getDoubleMetric(StringUtils.format("doubleSumResult%s", i)).intValue());
}
}
}
use of org.apache.druid.query.timeseries.TimeseriesQuery in project druid by druid-io.
the class SpatialFilterBonusTest method testSpatialQueryMorePoints.
@Test
public void testSpatialQueryMorePoints() {
TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource("test").granularity(Granularities.DAY).intervals(Collections.singletonList(Intervals.of("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.asList(new CountAggregatorFactory("rows"), new LongSumAggregatorFactory("val", "val"))).build();
List<Result<TimeseriesResultValue>> expectedResults = Arrays.asList(new Result<TimeseriesResultValue>(DateTimes.of("2013-01-01T00:00:00.000Z"), new TimeseriesResultValue(ImmutableMap.<String, Object>builder().put("rows", 1L).put("val", 17L).build())), new Result<TimeseriesResultValue>(DateTimes.of("2013-01-02T00:00:00.000Z"), new TimeseriesResultValue(ImmutableMap.<String, Object>builder().put("rows", 1L).put("val", 29L).build())), new Result<TimeseriesResultValue>(DateTimes.of("2013-01-03T00:00:00.000Z"), new TimeseriesResultValue(ImmutableMap.<String, Object>builder().put("rows", 1L).put("val", 13L).build())), new Result<TimeseriesResultValue>(DateTimes.of("2013-01-04T00:00:00.000Z"), new TimeseriesResultValue(ImmutableMap.<String, Object>builder().put("rows", 1L).put("val", 91L).build())), new Result<TimeseriesResultValue>(DateTimes.of("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(), 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);
}
}
use of org.apache.druid.query.timeseries.TimeseriesQuery in project druid by druid-io.
the class SpatialFilterTest method testSpatialQueryMorePoints.
@Test
public void testSpatialQueryMorePoints() {
TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource("test").granularity(Granularities.DAY).intervals(Collections.singletonList(Intervals.of("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.asList(new CountAggregatorFactory("rows"), new LongSumAggregatorFactory("val", "val"))).build();
List<Result<TimeseriesResultValue>> expectedResults = Arrays.asList(new Result<TimeseriesResultValue>(DateTimes.of("2013-01-01T00:00:00.000Z"), new TimeseriesResultValue(ImmutableMap.<String, Object>builder().put("rows", 1L).put("val", 17L).build())), new Result<TimeseriesResultValue>(DateTimes.of("2013-01-02T00:00:00.000Z"), new TimeseriesResultValue(ImmutableMap.<String, Object>builder().put("rows", 1L).put("val", 29L).build())), new Result<TimeseriesResultValue>(DateTimes.of("2013-01-03T00:00:00.000Z"), new TimeseriesResultValue(ImmutableMap.<String, Object>builder().put("rows", 1L).put("val", 13L).build())), new Result<TimeseriesResultValue>(DateTimes.of("2013-01-04T00:00:00.000Z"), new TimeseriesResultValue(ImmutableMap.<String, Object>builder().put("rows", 1L).put("val", 91L).build())), new Result<TimeseriesResultValue>(DateTimes.of("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(), 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);
}
}
use of org.apache.druid.query.timeseries.TimeseriesQuery 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(Collections.singletonList(Intervals.of("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.asList(new CountAggregatorFactory("rows"), new LongSumAggregatorFactory("val", "val"))).build();
List<Result<TimeseriesResultValue>> expectedResults = Arrays.asList(new Result<>(DateTimes.of("2013-01-01T00:00:00.000Z"), new TimeseriesResultValue(ImmutableMap.<String, Object>builder().put("rows", 1L).put("val", 17L).build())), new Result<>(DateTimes.of("2013-01-02T00:00:00.000Z"), new TimeseriesResultValue(ImmutableMap.<String, Object>builder().put("rows", 1L).put("val", 29L).build())), new Result<>(DateTimes.of("2013-01-03T00:00:00.000Z"), new TimeseriesResultValue(ImmutableMap.<String, Object>builder().put("rows", 1L).put("val", 13L).build())), new Result<>(DateTimes.of("2013-01-04T00:00:00.000Z"), new TimeseriesResultValue(ImmutableMap.<String, Object>builder().put("rows", 1L).put("val", 91L).build())), new Result<>(DateTimes.of("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(), 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);
}
}
use of org.apache.druid.query.timeseries.TimeseriesQuery in project druid by druid-io.
the class IndexMergerV9WithSpatialIndexTest 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<>(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);
}
}
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