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Example 1 with RadiusBound

use of io.druid.collections.spatial.search.RadiusBound 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(Arrays.asList(new Interval("2013-01-01/2013-01-07"))).filters(new SpatialDimFilter("spatialIsRad", new RadiusBound(new float[] { 0.0f, 0.0f }, 5))).aggregators(Arrays.<AggregatorFactory>asList(new CountAggregatorFactory("rows"), new LongSumAggregatorFactory("val", "val"))).build();
    List<Result<TimeseriesResultValue>> expectedResults = Arrays.asList(new Result<TimeseriesResultValue>(new DateTime("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(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);
    }
}
Also used : TimeseriesResultValue(io.druid.query.timeseries.TimeseriesResultValue) TimeseriesQuery(io.druid.query.timeseries.TimeseriesQuery) LongSumAggregatorFactory(io.druid.query.aggregation.LongSumAggregatorFactory) TimeseriesQueryQueryToolChest(io.druid.query.timeseries.TimeseriesQueryQueryToolChest) AggregatorFactory(io.druid.query.aggregation.AggregatorFactory) CountAggregatorFactory(io.druid.query.aggregation.CountAggregatorFactory) LongSumAggregatorFactory(io.druid.query.aggregation.LongSumAggregatorFactory) DateTime(org.joda.time.DateTime) FinalizeResultsQueryRunner(io.druid.query.FinalizeResultsQueryRunner) QueryRunner(io.druid.query.QueryRunner) IOException(java.io.IOException) Result(io.druid.query.Result) TimeseriesQueryEngine(io.druid.query.timeseries.TimeseriesQueryEngine) SpatialDimFilter(io.druid.query.filter.SpatialDimFilter) TimeseriesQueryRunnerFactory(io.druid.query.timeseries.TimeseriesQueryRunnerFactory) RadiusBound(io.druid.collections.spatial.search.RadiusBound) CountAggregatorFactory(io.druid.query.aggregation.CountAggregatorFactory) FinalizeResultsQueryRunner(io.druid.query.FinalizeResultsQueryRunner) Interval(org.joda.time.Interval) Test(org.junit.Test)

Example 2 with RadiusBound

use of io.druid.collections.spatial.search.RadiusBound in project druid by druid-io.

the class ImmutableRTreeTest method testSearchWithSplit3.

@Test
public void testSearchWithSplit3() {
    BitmapFactory bf = new ConciseBitmapFactory();
    RTree tree = new RTree(2, new LinearGutmanSplitStrategy(0, 50, bf), bf);
    tree.insert(new float[] { 0.0f, 0.0f }, 0);
    tree.insert(new float[] { 1.0f, 3.0f }, 1);
    tree.insert(new float[] { 4.0f, 2.0f }, 2);
    tree.insert(new float[] { 7.0f, 3.0f }, 3);
    tree.insert(new float[] { 8.0f, 6.0f }, 4);
    Random rand = new Random();
    for (int i = 5; i < 5000; i++) {
        tree.insert(new float[] { (float) (rand.nextFloat() * 10 + 10.0), (float) (rand.nextFloat() * 10 + 10.0) }, i);
    }
    ImmutableRTree searchTree = ImmutableRTree.newImmutableFromMutable(tree);
    Iterable<ImmutableBitmap> points = searchTree.search(new RadiusBound(new float[] { 0.0f, 0.0f }, 5));
    ImmutableBitmap finalSet = bf.union(points);
    Assert.assertTrue(finalSet.size() >= 3);
    Set<Integer> expected = Sets.newHashSet(0, 1, 2);
    IntIterator iter = finalSet.iterator();
    while (iter.hasNext()) {
        Assert.assertTrue(expected.contains(iter.next()));
    }
}
Also used : ConciseBitmapFactory(io.druid.collections.bitmap.ConciseBitmapFactory) IntIterator(org.roaringbitmap.IntIterator) ImmutableBitmap(io.druid.collections.bitmap.ImmutableBitmap) LinearGutmanSplitStrategy(io.druid.collections.spatial.split.LinearGutmanSplitStrategy) Random(java.util.Random) RadiusBound(io.druid.collections.spatial.search.RadiusBound) ConciseBitmapFactory(io.druid.collections.bitmap.ConciseBitmapFactory) BitmapFactory(io.druid.collections.bitmap.BitmapFactory) RoaringBitmapFactory(io.druid.collections.bitmap.RoaringBitmapFactory) Test(org.junit.Test)

Example 3 with RadiusBound

use of io.druid.collections.spatial.search.RadiusBound in project druid by druid-io.

the class ImmutableRTreeTest method testToAndFromByteBuffer.

@Test
public void testToAndFromByteBuffer() {
    BitmapFactory bf = new ConciseBitmapFactory();
    RTree tree = new RTree(2, new LinearGutmanSplitStrategy(0, 50, bf), bf);
    tree.insert(new float[] { 0, 0 }, 1);
    tree.insert(new float[] { 1, 1 }, 2);
    tree.insert(new float[] { 2, 2 }, 3);
    tree.insert(new float[] { 3, 3 }, 4);
    tree.insert(new float[] { 4, 4 }, 5);
    ImmutableRTree firstTree = ImmutableRTree.newImmutableFromMutable(tree);
    ByteBuffer buffer = ByteBuffer.wrap(firstTree.toBytes());
    ImmutableRTree secondTree = new ImmutableRTree(buffer, bf);
    Iterable<ImmutableBitmap> points = secondTree.search(new RadiusBound(new float[] { 0, 0 }, 10));
    ImmutableBitmap finalSet = bf.union(points);
    Assert.assertTrue(finalSet.size() >= 5);
    Set<Integer> expected = Sets.newHashSet(1, 2, 3, 4, 5);
    IntIterator iter = finalSet.iterator();
    while (iter.hasNext()) {
        Assert.assertTrue(expected.contains(iter.next()));
    }
}
Also used : ConciseBitmapFactory(io.druid.collections.bitmap.ConciseBitmapFactory) IntIterator(org.roaringbitmap.IntIterator) RadiusBound(io.druid.collections.spatial.search.RadiusBound) ImmutableBitmap(io.druid.collections.bitmap.ImmutableBitmap) ConciseBitmapFactory(io.druid.collections.bitmap.ConciseBitmapFactory) BitmapFactory(io.druid.collections.bitmap.BitmapFactory) RoaringBitmapFactory(io.druid.collections.bitmap.RoaringBitmapFactory) LinearGutmanSplitStrategy(io.druid.collections.spatial.split.LinearGutmanSplitStrategy) ByteBuffer(java.nio.ByteBuffer) Test(org.junit.Test)

Example 4 with RadiusBound

use of io.druid.collections.spatial.search.RadiusBound in project druid by druid-io.

the class ImmutableRTreeTest method testSearchWithSplit3Roaring.

@Test
public void testSearchWithSplit3Roaring() {
    BitmapFactory bf = new RoaringBitmapFactory();
    RTree tree = new RTree(2, new LinearGutmanSplitStrategy(0, 50, bf), bf);
    tree.insert(new float[] { 0.0f, 0.0f }, 0);
    tree.insert(new float[] { 1.0f, 3.0f }, 1);
    tree.insert(new float[] { 4.0f, 2.0f }, 2);
    tree.insert(new float[] { 7.0f, 3.0f }, 3);
    tree.insert(new float[] { 8.0f, 6.0f }, 4);
    Random rand = new Random();
    for (int i = 5; i < 5000; i++) {
        tree.insert(new float[] { (float) (rand.nextFloat() * 10 + 10.0), (float) (rand.nextFloat() * 10 + 10.0) }, i);
    }
    ImmutableRTree searchTree = ImmutableRTree.newImmutableFromMutable(tree);
    Iterable<ImmutableBitmap> points = searchTree.search(new RadiusBound(new float[] { 0.0f, 0.0f }, 5));
    ImmutableBitmap finalSet = bf.union(points);
    Assert.assertTrue(finalSet.size() >= 3);
    Set<Integer> expected = Sets.newHashSet(0, 1, 2);
    IntIterator iter = finalSet.iterator();
    while (iter.hasNext()) {
        Assert.assertTrue(expected.contains(iter.next()));
    }
}
Also used : IntIterator(org.roaringbitmap.IntIterator) ImmutableBitmap(io.druid.collections.bitmap.ImmutableBitmap) LinearGutmanSplitStrategy(io.druid.collections.spatial.split.LinearGutmanSplitStrategy) Random(java.util.Random) RadiusBound(io.druid.collections.spatial.search.RadiusBound) ConciseBitmapFactory(io.druid.collections.bitmap.ConciseBitmapFactory) BitmapFactory(io.druid.collections.bitmap.BitmapFactory) RoaringBitmapFactory(io.druid.collections.bitmap.RoaringBitmapFactory) RoaringBitmapFactory(io.druid.collections.bitmap.RoaringBitmapFactory) Test(org.junit.Test)

Example 5 with RadiusBound

use of io.druid.collections.spatial.search.RadiusBound in project druid by druid-io.

the class IndexMergerV9WithSpatialIndexTest method testSpatialQueryWithOtherSpatialDim.

@Test
public void testSpatialQueryWithOtherSpatialDim() {
    TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource("test").granularity(Granularities.ALL).intervals(Arrays.asList(new Interval("2013-01-01/2013-01-07"))).filters(new SpatialDimFilter("spatialIsRad", new RadiusBound(new float[] { 0.0f, 0.0f }, 5))).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", 13L).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);
    }
}
Also used : TimeseriesResultValue(io.druid.query.timeseries.TimeseriesResultValue) TimeseriesQuery(io.druid.query.timeseries.TimeseriesQuery) LongSumAggregatorFactory(io.druid.query.aggregation.LongSumAggregatorFactory) TimeseriesQueryQueryToolChest(io.druid.query.timeseries.TimeseriesQueryQueryToolChest) AggregatorFactory(io.druid.query.aggregation.AggregatorFactory) CountAggregatorFactory(io.druid.query.aggregation.CountAggregatorFactory) LongSumAggregatorFactory(io.druid.query.aggregation.LongSumAggregatorFactory) DateTime(org.joda.time.DateTime) FinalizeResultsQueryRunner(io.druid.query.FinalizeResultsQueryRunner) QueryRunner(io.druid.query.QueryRunner) IOException(java.io.IOException) Result(io.druid.query.Result) TimeseriesQueryEngine(io.druid.query.timeseries.TimeseriesQueryEngine) SpatialDimFilter(io.druid.query.filter.SpatialDimFilter) TimeseriesQueryRunnerFactory(io.druid.query.timeseries.TimeseriesQueryRunnerFactory) RadiusBound(io.druid.collections.spatial.search.RadiusBound) CountAggregatorFactory(io.druid.query.aggregation.CountAggregatorFactory) FinalizeResultsQueryRunner(io.druid.query.FinalizeResultsQueryRunner) Interval(org.joda.time.Interval) Test(org.junit.Test)

Aggregations

RadiusBound (io.druid.collections.spatial.search.RadiusBound)18 Test (org.junit.Test)17 BitmapFactory (io.druid.collections.bitmap.BitmapFactory)13 ConciseBitmapFactory (io.druid.collections.bitmap.ConciseBitmapFactory)13 ImmutableBitmap (io.druid.collections.bitmap.ImmutableBitmap)13 RoaringBitmapFactory (io.druid.collections.bitmap.RoaringBitmapFactory)13 LinearGutmanSplitStrategy (io.druid.collections.spatial.split.LinearGutmanSplitStrategy)13 IntIterator (org.roaringbitmap.IntIterator)10 Random (java.util.Random)7 FinalizeResultsQueryRunner (io.druid.query.FinalizeResultsQueryRunner)5 QueryRunner (io.druid.query.QueryRunner)5 Result (io.druid.query.Result)5 AggregatorFactory (io.druid.query.aggregation.AggregatorFactory)5 CountAggregatorFactory (io.druid.query.aggregation.CountAggregatorFactory)5 LongSumAggregatorFactory (io.druid.query.aggregation.LongSumAggregatorFactory)5 SpatialDimFilter (io.druid.query.filter.SpatialDimFilter)5 TimeseriesQuery (io.druid.query.timeseries.TimeseriesQuery)5 TimeseriesQueryEngine (io.druid.query.timeseries.TimeseriesQueryEngine)5 TimeseriesQueryQueryToolChest (io.druid.query.timeseries.TimeseriesQueryQueryToolChest)5 TimeseriesQueryRunnerFactory (io.druid.query.timeseries.TimeseriesQueryRunnerFactory)5