Examples with END_EXCLUSIVE com.yahoo.bullet.aggregations.sketches.QuantileSketch.END_EXCLUSIVE used on opensource projects

Example 6 with END_EXCLUSIVE

use of com.yahoo.bullet.aggregations.sketches.QuantileSketch.END_EXCLUSIVE in project bullet-storm by yahoo.

the class JoinBoltTest method testDistribution.

@Test
public void testDistribution() {
    BulletConfig bulletConfig = DistributionTest.makeConfiguration(10, 128);
    Distribution distribution = DistributionTest.makeDistribution(bulletConfig, makeAttributes(Distribution.Type.PMF, 3), "field", 10, null);
    IntStream.range(0, 50).mapToObj(i -> RecordBox.get().add("field", i).getRecord()).forEach(distribution::consume);
    byte[] first = distribution.getData();
    distribution = DistributionTest.makeDistribution(bulletConfig, makeAttributes(Distribution.Type.PMF, 3), "field", 10, null);
    IntStream.range(50, 101).mapToObj(i -> RecordBox.get().add("field", i).getRecord()).forEach(distribution::consume);
    byte[] second = distribution.getData();
    bolt = new DonableJoinBolt(config, 2, true);
    setup(bolt);
    Tuple query = TupleUtils.makeIDTuple(TupleClassifier.Type.QUERY_TUPLE, "42", makeAggregationQuery(DISTRIBUTION, 10, Distribution.Type.PMF, "field", null, null, null, null, 3), EMPTY);
    bolt.execute(query);
    sendRawByteTuplesTo(bolt, "42", asList(first, second));
    BulletRecord expectedA = RecordBox.get().add(RANGE_FIELD, NEGATIVE_INFINITY_START + SEPARATOR + 0.0 + END_EXCLUSIVE).add(COUNT_FIELD, 0.0).add(PROBABILITY_FIELD, 0.0).getRecord();
    BulletRecord expectedB = RecordBox.get().add(RANGE_FIELD, START_INCLUSIVE + 0.0 + SEPARATOR + 50.0 + END_EXCLUSIVE).add(COUNT_FIELD, 50.0).add(PROBABILITY_FIELD, 50.0 / 101).getRecord();
    BulletRecord expectedC = RecordBox.get().add(RANGE_FIELD, START_INCLUSIVE + 50.0 + SEPARATOR + 100.0 + END_EXCLUSIVE).add(COUNT_FIELD, 50.0).add(PROBABILITY_FIELD, 50.0 / 101).getRecord();
    BulletRecord expectedD = RecordBox.get().add(RANGE_FIELD, START_INCLUSIVE + 100.0 + SEPARATOR + POSITIVE_INFINITY_END).add(COUNT_FIELD, 1.0).add(PROBABILITY_FIELD, 1.0 / 101).getRecord();
    List<BulletRecord> results = asList(expectedA, expectedB, expectedC, expectedD);
    Tuple expected = TupleUtils.makeTuple(TupleClassifier.Type.RESULT_TUPLE, "42", Clip.of(results).asJSON(), COMPLETED);
    Tuple tick = TupleUtils.makeTuple(TupleClassifier.Type.TICK_TUPLE);
    bolt.execute(tick);
    for (int i = 0; i < BulletStormConfig.DEFAULT_JOIN_BOLT_QUERY_TICK_TIMEOUT - 1; ++i) {
        bolt.execute(tick);
        Assert.assertFalse(wasResultEmittedTo(TopologyConstants.RESULT_STREAM, expected));
    }
    bolt.execute(tick);
    Assert.assertTrue(wasResultEmittedTo(TopologyConstants.RESULT_STREAM, expected));
    Tuple metadata = TupleUtils.makeTuple(TupleClassifier.Type.FEEDBACK_TUPLE, "42", new Metadata(Metadata.Signal.COMPLETE, null));
    Assert.assertTrue(wasMetadataEmittedTo(TopologyConstants.FEEDBACK_STREAM, metadata));
    Assert.assertEquals(collector.getAllEmittedTo(TopologyConstants.RESULT_STREAM).count(), 1);
    Assert.assertEquals(collector.getAllEmittedTo(TopologyConstants.FEEDBACK_STREAM).count(), 1);
}

Example 7 with END_EXCLUSIVE

use of com.yahoo.bullet.aggregations.sketches.QuantileSketch.END_EXCLUSIVE in project bullet-core by yahoo.

the class DistributionTest method testCDF.

@Test
public void testCDF() {
    Distribution distribution = makeDistribution(Distribution.Type.CDF, asList(5.0, 2.5));
    IntStream.range(0, 100).mapToDouble(i -> (i * 0.1)).mapToObj(d -> RecordBox.get().add("field", d).getRecord()).forEach(distribution::consume);
    Clip result = distribution.getResult();
    Map<String, Object> metadata = (Map<String, Object>) result.getMeta().asMap().get("meta");
    Assert.assertEquals(metadata.size(), 7);
    Assert.assertFalse((Boolean) metadata.get("isEst"));
    List<BulletRecord> records = result.getRecords();
    Assert.assertEquals(records.size(), 3);
    BulletRecord expectedA = RecordBox.get().add(RANGE_FIELD, NEGATIVE_INFINITY_START + SEPARATOR + 2.5 + END_EXCLUSIVE).add(COUNT_FIELD, 25.0).add(PROBABILITY_FIELD, 0.25).getRecord();
    BulletRecord expectedB = RecordBox.get().add(RANGE_FIELD, NEGATIVE_INFINITY_START + SEPARATOR + 5.0 + END_EXCLUSIVE).add(COUNT_FIELD, 50.0).add(PROBABILITY_FIELD, 0.5).getRecord();
    BulletRecord expectedC = RecordBox.get().add(RANGE_FIELD, NEGATIVE_INFINITY_START + SEPARATOR + POSITIVE_INFINITY_END).add(COUNT_FIELD, 100.0).add(PROBABILITY_FIELD, 1.0).getRecord();
    Assert.assertEquals(records.get(0), expectedA);
    Assert.assertEquals(records.get(1), expectedB);
    Assert.assertEquals(records.get(2), expectedC);
    Assert.assertEquals(distribution.getRecords(), result.getRecords());
    Assert.assertEquals(distribution.getMetadata().asMap(), result.getMeta().asMap());
}