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Example 6 with RectangularBound

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

the class ImmutableRTreeTest method testSearchWithSplit2.

@Test
public void testSearchWithSplit2() {
    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.nextDouble() * 10 + 10.0), (float) (rand.nextDouble() * 10 + 10.0) }, i);
    }
    ImmutableRTree searchTree = ImmutableRTree.newImmutableFromMutable(tree);
    Iterable<ImmutableBitmap> points = searchTree.search(new RectangularBound(new float[] { 0, 0 }, new float[] { 9, 9 }));
    ImmutableBitmap finalSet = bf.union(points);
    Assert.assertTrue(finalSet.size() >= 5);
    Set<Integer> expected = Sets.newHashSet(0, 1, 2, 3, 4);
    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) RectangularBound(io.druid.collections.spatial.search.RectangularBound) Random(java.util.Random) ConciseBitmapFactory(io.druid.collections.bitmap.ConciseBitmapFactory) BitmapFactory(io.druid.collections.bitmap.BitmapFactory) RoaringBitmapFactory(io.druid.collections.bitmap.RoaringBitmapFactory) Test(org.junit.Test)

Example 7 with RectangularBound

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

the class ImmutableRTreeTest method testSearchWithSplit2Roaring.

@Test
public void testSearchWithSplit2Roaring() {
    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.nextDouble() * 10 + 10.0), (float) (rand.nextDouble() * 10 + 10.0) }, i);
    }
    ImmutableRTree searchTree = ImmutableRTree.newImmutableFromMutable(tree);
    Iterable<ImmutableBitmap> points = searchTree.search(new RectangularBound(new float[] { 0, 0 }, new float[] { 9, 9 }));
    ImmutableBitmap finalSet = bf.union(points);
    Assert.assertTrue(finalSet.size() >= 5);
    Set<Integer> expected = Sets.newHashSet(0, 1, 2, 3, 4);
    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) RectangularBound(io.druid.collections.spatial.search.RectangularBound) Random(java.util.Random) 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)

Aggregations

RectangularBound (io.druid.collections.spatial.search.RectangularBound)7 Test (org.junit.Test)6 FinalizeResultsQueryRunner (io.druid.query.FinalizeResultsQueryRunner)4 QueryRunner (io.druid.query.QueryRunner)4 Result (io.druid.query.Result)4 CountAggregatorFactory (io.druid.query.aggregation.CountAggregatorFactory)4 LongSumAggregatorFactory (io.druid.query.aggregation.LongSumAggregatorFactory)4 SpatialDimFilter (io.druid.query.filter.SpatialDimFilter)4 TimeseriesQuery (io.druid.query.timeseries.TimeseriesQuery)4 TimeseriesQueryEngine (io.druid.query.timeseries.TimeseriesQueryEngine)4 TimeseriesQueryQueryToolChest (io.druid.query.timeseries.TimeseriesQueryQueryToolChest)4 TimeseriesQueryRunnerFactory (io.druid.query.timeseries.TimeseriesQueryRunnerFactory)4 TimeseriesResultValue (io.druid.query.timeseries.TimeseriesResultValue)4 IOException (java.io.IOException)4 DateTime (org.joda.time.DateTime)4 Interval (org.joda.time.Interval)4 BitmapFactory (io.druid.collections.bitmap.BitmapFactory)3 ConciseBitmapFactory (io.druid.collections.bitmap.ConciseBitmapFactory)3 ImmutableBitmap (io.druid.collections.bitmap.ImmutableBitmap)3 RoaringBitmapFactory (io.druid.collections.bitmap.RoaringBitmapFactory)3