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

Example 1 with VALUE_FIELD

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

the class QuantileSketchingStrategyTest method testQuantiles.

@Test
public void testQuantiles() {
    QuantileSketchingStrategy distribution = makeDistribution("field", DistributionType.QUANTILE, 3);
    IntStream.range(0, 2000).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.assertTrue((Boolean) metadata.get("isEst"));
    Assert.assertEquals((String) metadata.get("family"), Family.QUANTILES.getFamilyName());
    // Size should be at least 512 bytes since we inserted 2K uniques with sketch k set to 512
    Assert.assertTrue((Integer) metadata.get("size") >= 512);
    Assert.assertEquals(metadata.get("nre"), DoublesSketch.getNormalizedRankError(512));
    // 60 items
    Assert.assertEquals(metadata.get("n"), 2000L);
    Assert.assertEquals(metadata.get("min"), 0.0);
    Assert.assertEquals(metadata.get("max"), 199.9);
    List<BulletRecord> records = result.getRecords();
    Assert.assertEquals(records.size(), 3);
    BulletRecord expectedA = RecordBox.get().add(QUANTILE_FIELD, 0.0).add(VALUE_FIELD, 0.0).getRecord();
    BulletRecord expectedC = RecordBox.get().add(QUANTILE_FIELD, 1.0).add(VALUE_FIELD, 199.9).getRecord();
    Assert.assertEquals(records.get(0), expectedA);
    Assert.assertEquals(records.get(2), expectedC);
    BulletRecord actualB = records.get(1);
    Assert.assertEquals(actualB.typedGet(QUANTILE_FIELD).getValue(), 0.5);
    Double actualMedian = (Double) actualB.typedGet(VALUE_FIELD).getValue();
    // We insert 0,0.1, ... 199.9. Our median is around 100.0. Our NRE < 1%, so we can be pretty certain the median
    // from the sketch is around this.
    assertApproxEquals(actualMedian, 100.0, 2.0);
    Assert.assertEquals(distribution.getRecords(), result.getRecords());
    Assert.assertEquals(distribution.getMetadata().asMap(), result.getMeta().asMap());
}