Examples with IncrementalIndex io.druid.segment.incremental.IncrementalIndex used on opensource projects

Example 1 with IncrementalIndex

use of io.druid.segment.incremental.IncrementalIndex in project druid by druid-io.

the class MapVirtualColumnTest method constructorFeeder.

@Parameterized.Parameters
public static Iterable<Object[]> constructorFeeder() throws IOException {
    final Supplier<SelectQueryConfig> selectConfigSupplier = Suppliers.ofInstance(new SelectQueryConfig(true));
    SelectQueryRunnerFactory factory = new SelectQueryRunnerFactory(new SelectQueryQueryToolChest(new DefaultObjectMapper(), QueryRunnerTestHelper.NoopIntervalChunkingQueryRunnerDecorator(), selectConfigSupplier), new SelectQueryEngine(selectConfigSupplier), QueryRunnerTestHelper.NOOP_QUERYWATCHER);
    final IncrementalIndexSchema schema = new IncrementalIndexSchema.Builder().withMinTimestamp(new DateTime("2011-01-12T00:00:00.000Z").getMillis()).withQueryGranularity(Granularities.NONE).build();
    final IncrementalIndex index = new OnheapIncrementalIndex(schema, true, 10000);
    final StringInputRowParser parser = new StringInputRowParser(new DelimitedParseSpec(new TimestampSpec("ts", "iso", null), new DimensionsSpec(DimensionsSpec.getDefaultSchemas(Arrays.asList("dim", "keys", "values")), null, null), "\t", ",", Arrays.asList("ts", "dim", "keys", "values")), "utf8");
    CharSource input = CharSource.wrap("2011-01-12T00:00:00.000Z\ta\tkey1,key2,key3\tvalue1,value2,value3\n" + "2011-01-12T00:00:00.000Z\tb\tkey4,key5,key6\tvalue4\n" + "2011-01-12T00:00:00.000Z\tc\tkey1,key5\tvalue1,value5,value9\n");
    IncrementalIndex index1 = TestIndex.loadIncrementalIndex(index, input, parser);
    QueryableIndex index2 = TestIndex.persistRealtimeAndLoadMMapped(index1);
    return transformToConstructionFeeder(Arrays.asList(makeQueryRunner(factory, "index1", new IncrementalIndexSegment(index1, "index1"), "incremental"), makeQueryRunner(factory, "index2", new QueryableIndexSegment("index2", index2), "queryable")));
}

Example 2 with IncrementalIndex

use of io.druid.segment.incremental.IncrementalIndex in project druid by druid-io.

the class MultiSegmentScanQueryTest method setup.

@BeforeClass
public static void setup() throws IOException {
    CharSource v_0112 = CharSource.wrap(StringUtils.join(V_0112, "\n"));
    CharSource v_0113 = CharSource.wrap(StringUtils.join(V_0113, "\n"));
    IncrementalIndex index0 = TestIndex.loadIncrementalIndex(newIndex("2011-01-12T00:00:00.000Z"), v_0112);
    IncrementalIndex index1 = TestIndex.loadIncrementalIndex(newIndex("2011-01-13T00:00:00.000Z"), v_0113);
    segment0 = new IncrementalIndexSegment(index0, makeIdentifier(index0, "v1"));
    segment1 = new IncrementalIndexSegment(index1, makeIdentifier(index1, "v1"));
}

Example 3 with IncrementalIndex

use of io.druid.segment.incremental.IncrementalIndex in project druid by druid-io.

the class SpatialFilterBonusTest method makeMergedQueryableIndex.

private static QueryableIndex makeMergedQueryableIndex(final IndexSpec indexSpec) {
    try {
        IncrementalIndex first = new OnheapIncrementalIndex(new IncrementalIndexSchema.Builder().withMinTimestamp(DATA_INTERVAL.getStartMillis()).withQueryGranularity(Granularities.DAY).withMetrics(METRIC_AGGS).withDimensionsSpec(new DimensionsSpec(null, null, Arrays.asList(new SpatialDimensionSchema("dim.geo", Lists.<String>newArrayList())))).build(), false, NUM_POINTS);
        IncrementalIndex second = new OnheapIncrementalIndex(new IncrementalIndexSchema.Builder().withMinTimestamp(DATA_INTERVAL.getStartMillis()).withQueryGranularity(Granularities.DAY).withMetrics(METRIC_AGGS).withDimensionsSpec(new DimensionsSpec(null, null, Arrays.asList(new SpatialDimensionSchema("dim.geo", Lists.<String>newArrayList())))).build(), false, NUM_POINTS);
        IncrementalIndex third = new OnheapIncrementalIndex(new IncrementalIndexSchema.Builder().withMinTimestamp(DATA_INTERVAL.getStartMillis()).withQueryGranularity(Granularities.DAY).withMetrics(METRIC_AGGS).withDimensionsSpec(new DimensionsSpec(null, null, Arrays.asList(new SpatialDimensionSchema("dim.geo", Lists.<String>newArrayList())))).build(), false, NUM_POINTS);
        first.add(new MapBasedInputRow(new DateTime("2013-01-01").getMillis(), DIMS, ImmutableMap.<String, Object>of("timestamp", new DateTime("2013-01-01").toString(), "dim", "foo", "dim.geo", "0.0,0.0", "val", 17L)));
        first.add(new MapBasedInputRow(new DateTime("2013-01-02").getMillis(), DIMS, ImmutableMap.<String, Object>of("timestamp", new DateTime("2013-01-02").toString(), "dim", "foo", "dim.geo", "1.0,3.0", "val", 29L)));
        first.add(new MapBasedInputRow(new DateTime("2013-01-03").getMillis(), DIMS, ImmutableMap.<String, Object>of("timestamp", new DateTime("2013-01-03").toString(), "dim", "foo", "dim.geo", "4.0,2.0", "val", 13L)));
        first.add(new MapBasedInputRow(new DateTime("2013-01-05").getMillis(), DIMS, ImmutableMap.<String, Object>of("timestamp", new DateTime("2013-01-05").toString(), "dim", "foo", "dim.geo", "_mmx.unknown", "val", 501L)));
        second.add(new MapBasedInputRow(new DateTime("2013-01-04").getMillis(), DIMS, ImmutableMap.<String, Object>of("timestamp", new DateTime("2013-01-04").toString(), "dim", "foo", "dim.geo", "7.0,3.0", "val", 91L)));
        second.add(new MapBasedInputRow(new DateTime("2013-01-05").getMillis(), DIMS, ImmutableMap.<String, Object>of("timestamp", new DateTime("2013-01-05").toString(), "dim", "foo", "dim.geo", "8.0,6.0", "val", 47L)));
        // Add a bunch of random points
        Random rand = new Random();
        for (int i = 6; i < NUM_POINTS; i++) {
            third.add(new MapBasedInputRow(new DateTime("2013-01-01").getMillis(), DIMS, ImmutableMap.<String, Object>of("timestamp", new DateTime("2013-01-01").toString(), "dim", "boo", "dim.geo", String.format("%s,%s", (float) (rand.nextFloat() * 10 + 10.0), (float) (rand.nextFloat() * 10 + 10.0)), "val", i)));
        }
        File tmpFile = File.createTempFile("yay", "who");
        tmpFile.delete();
        File firstFile = new File(tmpFile, "first");
        File secondFile = new File(tmpFile, "second");
        File thirdFile = new File(tmpFile, "third");
        File mergedFile = new File(tmpFile, "merged");
        firstFile.mkdirs();
        firstFile.deleteOnExit();
        secondFile.mkdirs();
        secondFile.deleteOnExit();
        thirdFile.mkdirs();
        thirdFile.deleteOnExit();
        mergedFile.mkdirs();
        mergedFile.deleteOnExit();
        INDEX_MERGER.persist(first, DATA_INTERVAL, firstFile, indexSpec);
        INDEX_MERGER.persist(second, DATA_INTERVAL, secondFile, indexSpec);
        INDEX_MERGER.persist(third, DATA_INTERVAL, thirdFile, indexSpec);
        QueryableIndex mergedRealtime = INDEX_IO.loadIndex(INDEX_MERGER.mergeQueryableIndex(Arrays.asList(INDEX_IO.loadIndex(firstFile), INDEX_IO.loadIndex(secondFile), INDEX_IO.loadIndex(thirdFile)), true, METRIC_AGGS, mergedFile, indexSpec));
        return mergedRealtime;
    } catch (IOException e) {
        throw Throwables.propagate(e);
    }
}

Example 4 with IncrementalIndex

use of io.druid.segment.incremental.IncrementalIndex in project druid by druid-io.

the class SpatialFilterBonusTest method makeIncrementalIndex.

private static IncrementalIndex makeIncrementalIndex() throws IOException {
    IncrementalIndex theIndex = new OnheapIncrementalIndex(new IncrementalIndexSchema.Builder().withMinTimestamp(DATA_INTERVAL.getStartMillis()).withQueryGranularity(Granularities.DAY).withMetrics(METRIC_AGGS).withDimensionsSpec(new DimensionsSpec(null, null, Arrays.asList(new SpatialDimensionSchema("dim.geo", Lists.<String>newArrayList())))).build(), false, NUM_POINTS);
    theIndex.add(new MapBasedInputRow(new DateTime("2013-01-01").getMillis(), DIMS, ImmutableMap.<String, Object>of("timestamp", new DateTime("2013-01-01").toString(), "dim", "foo", "dim.geo", "0.0,0.0", "val", 17L)));
    theIndex.add(new MapBasedInputRow(new DateTime("2013-01-02").getMillis(), DIMS, ImmutableMap.<String, Object>of("timestamp", new DateTime("2013-01-02").toString(), "dim", "foo", "dim.geo", "1.0,3.0", "val", 29L)));
    theIndex.add(new MapBasedInputRow(new DateTime("2013-01-03").getMillis(), DIMS, ImmutableMap.<String, Object>of("timestamp", new DateTime("2013-01-03").toString(), "dim", "foo", "dim.geo", "4.0,2.0", "val", 13L)));
    theIndex.add(new MapBasedInputRow(new DateTime("2013-01-04").getMillis(), DIMS, ImmutableMap.<String, Object>of("timestamp", new DateTime("2013-01-04").toString(), "dim", "foo", "dim.geo", "7.0,3.0", "val", 91L)));
    theIndex.add(new MapBasedInputRow(new DateTime("2013-01-05").getMillis(), DIMS, ImmutableMap.<String, Object>of("timestamp", new DateTime("2013-01-05").toString(), "dim", "foo", "dim.geo", "8.0,6.0", "val", 47L)));
    theIndex.add(new MapBasedInputRow(new DateTime("2013-01-05").getMillis(), DIMS, ImmutableMap.<String, Object>of("timestamp", new DateTime("2013-01-05").toString(), "dim", "foo", "dim.geo", "_mmx.unknown", "val", 501L)));
    // Add a bunch of random points, without replacement
    Set<String> alreadyChosen = Sets.newHashSet();
    Random rand = new Random();
    for (int i = 6; i < NUM_POINTS; i++) {
        String coord = null;
        while (coord == null) {
            coord = String.format("%s,%s", (float) (rand.nextFloat() * 10 + 10.0), (float) (rand.nextFloat() * 10 + 10.0));
            if (!alreadyChosen.add(coord)) {
                coord = null;
            }
        }
        theIndex.add(new MapBasedInputRow(new DateTime("2013-01-01").getMillis(), DIMS, ImmutableMap.<String, Object>of("timestamp", new DateTime("2013-01-01").toString(), "dim", "boo", "dim.geo", coord, "val", i)));
    }
    return theIndex;
}

Example 5 with IncrementalIndex

use of io.druid.segment.incremental.IncrementalIndex in project druid by druid-io.

the class SpatialFilterTest method makeIncrementalIndex.

private static IncrementalIndex makeIncrementalIndex() throws IOException {
    IncrementalIndex theIndex = new OnheapIncrementalIndex(new IncrementalIndexSchema.Builder().withMinTimestamp(DATA_INTERVAL.getStartMillis()).withQueryGranularity(Granularities.DAY).withMetrics(METRIC_AGGS).withDimensionsSpec(new DimensionsSpec(null, null, Arrays.asList(new SpatialDimensionSchema("dim.geo", Arrays.asList("lat", "long")), new SpatialDimensionSchema("spatialIsRad", Arrays.asList("lat2", "long2"))))).build(), false, NUM_POINTS);
    theIndex.add(new MapBasedInputRow(new DateTime("2013-01-01").getMillis(), DIMS, ImmutableMap.<String, Object>of("timestamp", new DateTime("2013-01-01").toString(), "dim", "foo", "lat", 0.0f, "long", 0.0f, "val", 17L)));
    theIndex.add(new MapBasedInputRow(new DateTime("2013-01-02").getMillis(), DIMS, ImmutableMap.<String, Object>of("timestamp", new DateTime("2013-01-02").toString(), "dim", "foo", "lat", 1.0f, "long", 3.0f, "val", 29L)));
    theIndex.add(new MapBasedInputRow(new DateTime("2013-01-03").getMillis(), DIMS, ImmutableMap.<String, Object>of("timestamp", new DateTime("2013-01-03").toString(), "dim", "foo", "lat", 4.0f, "long", 2.0f, "val", 13L)));
    theIndex.add(new MapBasedInputRow(new DateTime("2013-01-04").getMillis(), DIMS, ImmutableMap.<String, Object>of("timestamp", new DateTime("2013-01-04").toString(), "dim", "foo", "lat", 7.0f, "long", 3.0f, "val", 91L)));
    theIndex.add(new MapBasedInputRow(new DateTime("2013-01-05").getMillis(), DIMS, ImmutableMap.<String, Object>of("timestamp", new DateTime("2013-01-05").toString(), "dim", "foo", "lat", 8.0f, "long", 6.0f, "val", 47L)));
    theIndex.add(new MapBasedInputRow(new DateTime("2013-01-05").getMillis(), DIMS, ImmutableMap.<String, Object>of("timestamp", new DateTime("2013-01-05").toString(), "dim", "foo", "lat", "_mmx.unknown", "long", "_mmx.unknown", "val", 101L)));
    theIndex.add(new MapBasedInputRow(new DateTime("2013-01-05").getMillis(), DIMS, ImmutableMap.<String, Object>of("timestamp", new DateTime("2013-01-05").toString(), "dim", "foo", "dim.geo", "_mmx.unknown", "val", 501L)));
    theIndex.add(new MapBasedInputRow(new DateTime("2013-01-05").getMillis(), DIMS, ImmutableMap.<String, Object>of("timestamp", new DateTime("2013-01-05").toString(), "lat2", 0.0f, "long2", 0.0f, "val", 13L)));
    // Add a bunch of random points
    Random rand = new Random();
    for (int i = 8; i < NUM_POINTS; i++) {
        theIndex.add(new MapBasedInputRow(new DateTime("2013-01-01").getMillis(), DIMS, ImmutableMap.<String, Object>of("timestamp", new DateTime("2013-01-01").toString(), "dim", "boo", "lat", (float) (rand.nextFloat() * 10 + 10.0), "long", (float) (rand.nextFloat() * 10 + 10.0), "val", i)));
    }
    return theIndex;
}