Examples with LinearGutmanSplitStrategy org.apache.druid.collections.spatial.split.LinearGutmanSplitStrategy used on opensource projects

Example 6 with LinearGutmanSplitStrategy

use of org.apache.druid.collections.spatial.split.LinearGutmanSplitStrategy in project druid by druid-io.

the class ImmutableRTreeTest method testToBytes.

@Test
public void testToBytes() {
    BitmapFactory bf = new RoaringBitmapFactory();
    ImmutableRTreeObjectStrategy rTreeObjectStrategy = new ImmutableRTreeObjectStrategy(bf);
    RTree rTree = new RTree(2, new LinearGutmanSplitStrategy(0, 50, bf), bf);
    rTree.insert(new float[] { 0, 0 }, 1);
    ImmutableRTree immutableRTree = ImmutableRTree.newImmutableFromMutable(rTree);
    byte[] bytes1 = immutableRTree.toBytes();
    GenericIndexed<ImmutableRTree> genericIndexed = GenericIndexed.fromIterable(Arrays.asList(immutableRTree, immutableRTree), rTreeObjectStrategy);
    ImmutableRTree deserializedTree = genericIndexed.get(0);
    byte[] bytes2 = deserializedTree.toBytes();
    org.junit.Assert.assertEquals(Bytes.asList(bytes1), Bytes.asList(bytes2));
}

Example 7 with LinearGutmanSplitStrategy

use of org.apache.druid.collections.spatial.split.LinearGutmanSplitStrategy 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()));
    }
}

Example 8 with LinearGutmanSplitStrategy

use of org.apache.druid.collections.spatial.split.LinearGutmanSplitStrategy in project druid by druid-io.

the class ImmutableRTreeTest method testSearchWithSplitRoaring.

@Test
public void testSearchWithSplitRoaring() {
    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[] { 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 = ThreadLocalRandom.current();
    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()));
    }
}

Example 9 with LinearGutmanSplitStrategy

use of org.apache.druid.collections.spatial.split.LinearGutmanSplitStrategy 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 = ThreadLocalRandom.current();
    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()));
    }
}

Example 10 with LinearGutmanSplitStrategy

use of org.apache.druid.collections.spatial.split.LinearGutmanSplitStrategy in project druid by druid-io.

the class ImmutableRTreeTest method showBenchmarks.

// TODO rewrite to JMH and move to the benchmarks project
@SuppressWarnings("unused")
public void showBenchmarks() {
    final int start = 1;
    final int factor = 10;
    final int end = 10000000;
    final int radius = 10;
    for (int numPoints = start; numPoints <= end; numPoints *= factor) {
        try {
            BitmapFactory bf = new ConciseBitmapFactory();
            RTree tree = new RTree(2, new LinearGutmanSplitStrategy(0, 50, bf), bf);
            Stopwatch stopwatch = Stopwatch.createStarted();
            Random rand = ThreadLocalRandom.current();
            for (int i = 0; i < numPoints; i++) {
                tree.insert(new float[] { (float) (rand.nextDouble() * 100), (float) (rand.nextDouble() * 100) }, i);
            }
            long stop = stopwatch.elapsed(TimeUnit.MILLISECONDS);
            System.out.printf(Locale.ENGLISH, "[%,d]: insert = %,d ms%n", numPoints, stop);
            stopwatch.reset().start();
            ImmutableRTree searchTree = ImmutableRTree.newImmutableFromMutable(tree);
            stop = stopwatch.elapsed(TimeUnit.MILLISECONDS);
            System.out.printf(Locale.ENGLISH, "[%,d]: size = %,d bytes%n", numPoints, searchTree.toBytes().length);
            System.out.printf(Locale.ENGLISH, "[%,d]: buildImmutable = %,d ms%n", numPoints, stop);
            stopwatch.reset().start();
            Iterable<ImmutableBitmap> points = searchTree.search(new RadiusBound(new float[] { 50, 50 }, radius));
            Iterables.size(points);
            stop = stopwatch.elapsed(TimeUnit.MILLISECONDS);
            System.out.printf(Locale.ENGLISH, "[%,d]: search = %,dms%n", numPoints, stop);
            stopwatch.reset().start();
            ImmutableBitmap finalSet = bf.union(points);
            stop = stopwatch.elapsed(TimeUnit.MILLISECONDS);
            System.out.printf(Locale.ENGLISH, "[%,d]: union of %,d points in %,d ms%n", numPoints, finalSet.size(), stop);
        } catch (Exception e) {
            throw new RuntimeException(e);
        }
    }
}