use of io.druid.collections.spatial.split.LinearGutmanSplitStrategy in project druid by druid-io.
the class StringDimensionMergerLegacy method writeIndexes.
@Override
public void writeIndexes(List<IntBuffer> segmentRowNumConversions, Closer closer) throws IOException {
final SerializerUtils serializerUtils = new SerializerUtils();
long dimStartTime = System.currentTimeMillis();
final BitmapSerdeFactory bitmapSerdeFactory = indexSpec.getBitmapSerdeFactory();
String bmpFilename = String.format("%s.inverted", dimensionName);
bitmapWriter = new GenericIndexedWriter<>(ioPeon, bmpFilename, bitmapSerdeFactory.getObjectStrategy());
bitmapWriter.open();
final MappedByteBuffer dimValsMapped = Files.map(dictionaryFile);
closer.register(new Closeable() {
@Override
public void close() throws IOException {
ByteBufferUtils.unmap(dimValsMapped);
}
});
if (!dimensionName.equals(serializerUtils.readString(dimValsMapped))) {
throw new ISE("dimensions[%s] didn't equate!? This is a major WTF moment.", dimensionName);
}
Indexed<String> dimVals = GenericIndexed.read(dimValsMapped, GenericIndexed.STRING_STRATEGY);
log.info("Starting dimension[%s] with cardinality[%,d]", dimensionName, dimVals.size());
final BitmapFactory bmpFactory = bitmapSerdeFactory.getBitmapFactory();
RTree tree = null;
spatialWriter = null;
boolean hasSpatial = capabilities.hasSpatialIndexes();
if (hasSpatial) {
String spatialFilename = String.format("%s.spatial", dimensionName);
spatialWriter = new ByteBufferWriter<>(ioPeon, spatialFilename, new IndexedRTree.ImmutableRTreeObjectStrategy(bmpFactory));
spatialWriter.open();
tree = new RTree(2, new LinearGutmanSplitStrategy(0, 50, bmpFactory), bmpFactory);
}
IndexSeeker[] dictIdSeeker = toIndexSeekers(adapters, dimConversions, dimensionName);
//Iterate all dim values's dictionary id in ascending order which in line with dim values's compare result.
for (int dictId = 0; dictId < dimVals.size(); dictId++) {
progress.progress();
mergeBitmaps(segmentRowNumConversions, dimVals, bmpFactory, tree, hasSpatial, dictIdSeeker, dictId, adapters, dimensionName, nullRowsBitmap, bitmapWriter);
}
log.info("Completed dimension[%s] in %,d millis.", dimensionName, System.currentTimeMillis() - dimStartTime);
if (hasSpatial) {
spatialWriter.write(ImmutableRTree.newImmutableFromMutable(tree));
}
}
use of io.druid.collections.spatial.split.LinearGutmanSplitStrategy 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()));
}
}
use of io.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()));
}
}
use of io.druid.collections.spatial.split.LinearGutmanSplitStrategy 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()));
}
}
use of io.druid.collections.spatial.split.LinearGutmanSplitStrategy in project druid by druid-io.
the class RTreeTest method setUp.
@Before
public void setUp() throws Exception {
BitmapFactory bf = new ConciseBitmapFactory();
tree = new RTree(2, new LinearGutmanSplitStrategy(0, 50, bf), bf);
BitmapFactory rbf = new RoaringBitmapFactory();
roaringtree = new RTree(2, new LinearGutmanSplitStrategy(0, 50, rbf), rbf);
}
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