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Example 41 with ImmutableBitmap

use of io.druid.collections.bitmap.ImmutableBitmap 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 42 with ImmutableBitmap

use of io.druid.collections.bitmap.ImmutableBitmap in project druid by druid-io.

the class ImmutableRTreeTest method testSearchWithSplit.

@Test
public void testSearchWithSplit() {
    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, 3 }, 2);
    tree.insert(new float[] { 4, 2 }, 3);
    tree.insert(new float[] { 5, 0 }, 4);
    tree.insert(new float[] { -4, -3 }, 5);
    Random rand = new Random();
    for (int i = 0; i < 95; 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 RadiusBound(new float[] { 0, 0 }, 5));
    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) 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 43 with ImmutableBitmap

use of io.druid.collections.bitmap.ImmutableBitmap 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)

Example 44 with ImmutableBitmap

use of io.druid.collections.bitmap.ImmutableBitmap in project druid by druid-io.

the class ImmutableRTreeTest method testSearchWithSplit4.

@Test
public void testSearchWithSplit4() {
    BitmapFactory bf = new ConciseBitmapFactory();
    //RTree tree = new RTree(2, new QuadraticGutmanSplitStrategy(0, 100, bf), bf);
    RTree tree = new RTree(2, new LinearGutmanSplitStrategy(0, 50, bf), bf);
    Random rand = new Random();
    int outPolygon = 0, inPolygon = 0;
    for (; inPolygon < 500; ) {
        double abscissa = rand.nextDouble() * 5;
        double ordinate = rand.nextDouble() * 4;
        if (abscissa < 1 || abscissa > 4 || ordinate < 1 || ordinate > 3 || abscissa < 2 && ordinate > 2) {
            tree.insert(new float[] { (float) abscissa, (float) ordinate }, outPolygon + 500);
            outPolygon++;
        } else if (abscissa > 1 && abscissa < 4 && ordinate > 1 && ordinate < 2 || abscissa > 2 && abscissa < 4 && ordinate >= 2 && ordinate < 3) {
            tree.insert(new float[] { (float) abscissa, (float) ordinate }, inPolygon);
            inPolygon++;
        }
    }
    ImmutableRTree searchTree = ImmutableRTree.newImmutableFromMutable(tree);
    Iterable<ImmutableBitmap> points = searchTree.search(PolygonBound.from(new float[] { 1.0f, 1.0f, 2.0f, 2.0f, 4.0f, 4.0f }, new float[] { 1.0f, 2.0f, 2.0f, 3.0f, 3.0f, 1.0f }));
    ImmutableBitmap finalSet = bf.union(points);
    Assert.assertTrue(finalSet.size() == 500);
    Set<Integer> expected = Sets.newHashSet();
    for (int i = 0; i < 500; i++) {
        expected.add(i);
    }
    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) ConciseBitmapFactory(io.druid.collections.bitmap.ConciseBitmapFactory) BitmapFactory(io.druid.collections.bitmap.BitmapFactory) RoaringBitmapFactory(io.druid.collections.bitmap.RoaringBitmapFactory) Test(org.junit.Test)

Example 45 with ImmutableBitmap

use of io.druid.collections.bitmap.ImmutableBitmap in project druid by druid-io.

the class ImmutableRTreeTest method testSearchNoSplitRoaring.

@Test
public void testSearchNoSplitRoaring() {
    BitmapFactory bf = new RoaringBitmapFactory();
    RTree tree = new RTree(2, new LinearGutmanSplitStrategy(0, 50, bf), bf);
    tree.insert(new float[] { 0, 0 }, 1);
    tree.insert(new float[] { 10, 10 }, 10);
    tree.insert(new float[] { 1, 3 }, 2);
    tree.insert(new float[] { 27, 34 }, 20);
    tree.insert(new float[] { 106, 19 }, 30);
    tree.insert(new float[] { 4, 2 }, 3);
    tree.insert(new float[] { 5, 0 }, 4);
    tree.insert(new float[] { 4, 72 }, 40);
    tree.insert(new float[] { -4, -3 }, 5);
    tree.insert(new float[] { 119, -78 }, 50);
    Assert.assertEquals(tree.getRoot().getChildren().size(), 10);
    ImmutableRTree searchTree = ImmutableRTree.newImmutableFromMutable(tree);
    Iterable<ImmutableBitmap> points = searchTree.search(new RadiusBound(new float[] { 0, 0 }, 5));
    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 : 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) RoaringBitmapFactory(io.druid.collections.bitmap.RoaringBitmapFactory) Test(org.junit.Test)

Aggregations

ImmutableBitmap (io.druid.collections.bitmap.ImmutableBitmap)51 BitmapFactory (io.druid.collections.bitmap.BitmapFactory)23 Test (org.junit.Test)23 RoaringBitmapFactory (io.druid.collections.bitmap.RoaringBitmapFactory)22 ConciseBitmapFactory (io.druid.collections.bitmap.ConciseBitmapFactory)19 LinearGutmanSplitStrategy (io.druid.collections.spatial.split.LinearGutmanSplitStrategy)18 IntIterator (org.roaringbitmap.IntIterator)16 RadiusBound (io.druid.collections.spatial.search.RadiusBound)13 Benchmark (org.openjdk.jmh.annotations.Benchmark)13 Random (java.util.Random)12 BenchmarkMode (org.openjdk.jmh.annotations.BenchmarkMode)12 OutputTimeUnit (org.openjdk.jmh.annotations.OutputTimeUnit)12 MutableBitmap (io.druid.collections.bitmap.MutableBitmap)7 Filter (io.druid.query.filter.Filter)6 BitmapIndexSelector (io.druid.query.filter.BitmapIndexSelector)5 BitmapIndex (io.druid.segment.column.BitmapIndex)5 ImmutableRTree (io.druid.collections.spatial.ImmutableRTree)4 BitmapSerdeFactory (io.druid.segment.data.BitmapSerdeFactory)4 RoaringBitmapSerdeFactory (io.druid.segment.data.RoaringBitmapSerdeFactory)4 Function (com.google.common.base.Function)3