use of org.apache.druid.collections.bitmap.RoaringBitmapFactory in project druid by druid-io.
the class ImmutableRTreeTest method testSearchWithSplit4Roaring.
@Test
public void testSearchWithSplit4Roaring() {
BitmapFactory bf = new RoaringBitmapFactory();
RTree tree = new RTree(2, new LinearGutmanSplitStrategy(0, 50, bf), bf);
Random rand = ThreadLocalRandom.current();
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 = new HashSet<>();
for (int i = 0; i < 500; i++) {
expected.add(i);
}
IntIterator iter = finalSet.iterator();
while (iter.hasNext()) {
Assert.assertTrue(expected.contains(iter.next()));
}
}
use of org.apache.druid.collections.bitmap.RoaringBitmapFactory in project druid by druid-io.
the class LinearGutmanSplitStrategyTest method testPickSeedsRoaring.
@Test
public void testPickSeedsRoaring() {
BitmapFactory bf = new RoaringBitmapFactory();
LinearGutmanSplitStrategy strategy = new LinearGutmanSplitStrategy(0, 50, bf);
Node node = new Node(new float[2], new float[2], true, bf);
node.addChild(new Point(new float[] { 3, 7 }, 1, bf));
node.addChild(new Point(new float[] { 1, 6 }, 1, bf));
node.addChild(new Point(new float[] { 9, 8 }, 1, bf));
node.addChild(new Point(new float[] { 2, 5 }, 1, bf));
node.addChild(new Point(new float[] { 4, 4 }, 1, bf));
node.enclose();
Node[] groups = strategy.split(node);
Assert.assertEquals(groups[0].getMinCoordinates()[0], 1.0f);
Assert.assertEquals(groups[0].getMinCoordinates()[1], 4.0f);
Assert.assertEquals(groups[1].getMinCoordinates()[0], 9.0f);
Assert.assertEquals(groups[1].getMinCoordinates()[1], 8.0f);
}
use of org.apache.druid.collections.bitmap.RoaringBitmapFactory in project druid by druid-io.
the class IndexMergerTestBase method testMismatchedMetricsVarying.
@Test(expected = IAE.class)
public void testMismatchedMetricsVarying() throws IOException {
IncrementalIndex index2 = IncrementalIndexTest.createIndex(new AggregatorFactory[] { new LongSumAggregatorFactory("A", "A"), new LongSumAggregatorFactory("C", "C") });
closer.closeLater(index2);
IncrementalIndex index5 = IncrementalIndexTest.createIndex(new AggregatorFactory[] { new LongSumAggregatorFactory("C", "C"), new LongSumAggregatorFactory("B", "B") });
closer.closeLater(index5);
Interval interval = new Interval(DateTimes.EPOCH, DateTimes.nowUtc());
RoaringBitmapFactory factory = new RoaringBitmapFactory();
List<IndexableAdapter> toMerge = Collections.singletonList(new IncrementalIndexAdapter(interval, index2, factory));
final File tmpDirMerged = temporaryFolder.newFolder();
final File merged = indexMerger.merge(toMerge, true, new AggregatorFactory[] { new LongSumAggregatorFactory("B", "B"), new LongSumAggregatorFactory("A", "A"), new LongSumAggregatorFactory("D", "D") }, tmpDirMerged, indexSpec, -1);
final QueryableIndexStorageAdapter adapter = new QueryableIndexStorageAdapter(closer.closeLater(indexIO.loadIndex(merged)));
Assert.assertEquals(ImmutableSet.of("A", "B", "C"), ImmutableSet.copyOf(adapter.getAvailableMetrics()));
}
use of org.apache.druid.collections.bitmap.RoaringBitmapFactory in project druid by druid-io.
the class IndexMergerTestBase method testAddMetricsBothSidesNull.
@Test
public void testAddMetricsBothSidesNull() throws IOException {
IncrementalIndex index1 = IncrementalIndexTest.createIndex(new AggregatorFactory[] { new LongSumAggregatorFactory("A", "A") });
closer.closeLater(index1);
long timestamp = System.currentTimeMillis();
index1.add(new MapBasedInputRow(timestamp, Arrays.asList("dim1", "dim2"), ImmutableMap.of("dim1", "1", "dim2", "2", "A", 5)));
IncrementalIndex index2 = IncrementalIndexTest.createIndex(new AggregatorFactory[] { new LongSumAggregatorFactory("A", "A"), new LongSumAggregatorFactory("C", "C") });
index2.add(new MapBasedInputRow(timestamp, Arrays.asList("dim1", "dim2"), ImmutableMap.of("dim1", "1", "dim2", "2", "A", 5, "C", 6)));
closer.closeLater(index2);
IncrementalIndex index3 = IncrementalIndexTest.createIndex(new AggregatorFactory[] { new LongSumAggregatorFactory("A", "A") });
index3.add(new MapBasedInputRow(timestamp, Arrays.asList("dim1", "dim2"), ImmutableMap.of("dim1", "1", "dim2", "2", "A", 5)));
Interval interval = new Interval(DateTimes.EPOCH, DateTimes.nowUtc());
RoaringBitmapFactory factory = new RoaringBitmapFactory();
List<IndexableAdapter> toMerge = Arrays.asList(new IncrementalIndexAdapter(interval, index1, factory), new IncrementalIndexAdapter(interval, index2, factory), new IncrementalIndexAdapter(interval, index3, factory));
final File tmpDirMerged = temporaryFolder.newFolder();
File merged = indexMerger.merge(toMerge, true, new AggregatorFactory[] { new LongSumAggregatorFactory("A", "A"), new LongSumAggregatorFactory("C", "C") }, tmpDirMerged, indexSpec, -1);
final QueryableIndexStorageAdapter adapter = new QueryableIndexStorageAdapter(closer.closeLater(indexIO.loadIndex(merged)));
Assert.assertEquals(ImmutableSet.of("A", "C"), ImmutableSet.copyOf(adapter.getAvailableMetrics()));
}
use of org.apache.druid.collections.bitmap.RoaringBitmapFactory in project druid by druid-io.
the class IndexMergerTestBase method testAddMetrics.
@Test
public void testAddMetrics() throws IOException {
IncrementalIndex index1 = IncrementalIndexTest.createIndex(new AggregatorFactory[] { new LongSumAggregatorFactory("A", "A") });
closer.closeLater(index1);
long timestamp = System.currentTimeMillis();
index1.add(new MapBasedInputRow(timestamp, Arrays.asList("dim1", "dim2"), ImmutableMap.of("dim1", "1", "dim2", "2", "A", 5)));
IncrementalIndex index2 = IncrementalIndexTest.createIndex(new AggregatorFactory[] { new LongSumAggregatorFactory("A", "A"), new LongSumAggregatorFactory("C", "C") });
index2.add(new MapBasedInputRow(timestamp, Arrays.asList("dim1", "dim2"), ImmutableMap.of("dim1", "1", "dim2", "2", "A", 5, "C", 6)));
closer.closeLater(index2);
Interval interval = new Interval(DateTimes.EPOCH, DateTimes.nowUtc());
RoaringBitmapFactory factory = new RoaringBitmapFactory();
List<IndexableAdapter> toMerge = Arrays.asList(new IncrementalIndexAdapter(interval, index1, factory), new IncrementalIndexAdapter(interval, index2, factory));
final File tmpDirMerged = temporaryFolder.newFolder();
File merged = indexMerger.merge(toMerge, true, new AggregatorFactory[] { new LongSumAggregatorFactory("A", "A"), new LongSumAggregatorFactory("C", "C") }, tmpDirMerged, indexSpec, -1);
final QueryableIndexStorageAdapter adapter = new QueryableIndexStorageAdapter(closer.closeLater(indexIO.loadIndex(merged)));
Assert.assertEquals(ImmutableSet.of("A", "C"), ImmutableSet.copyOf(adapter.getAvailableMetrics()));
}
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