io.opencensus.stats.Aggregation.Distribution Java Examples

The following examples show how to use io.opencensus.stats.Aggregation.Distribution. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example #1
Source File: AggregationTest.java    From opencensus-java with Apache License 2.0 6 votes vote down vote up 
@Test
public void testEquals() {
  new EqualsTester()
      .addEqualityGroup(Sum.create(), Sum.create())
      .addEqualityGroup(Count.create(), Count.create())
      .addEqualityGroup(
          Distribution.create(BucketBoundaries.create(Arrays.asList(-10.0, 1.0, 5.0))),
          Distribution.create(BucketBoundaries.create(Arrays.asList(-10.0, 1.0, 5.0))),
          Distribution.create(BucketBoundaries.create(Arrays.asList(0.0, 1.0, 5.0))))
      .addEqualityGroup(
          Distribution.create(BucketBoundaries.create(Arrays.asList(1.0, 2.0, 5.0))),
          Distribution.create(BucketBoundaries.create(Arrays.asList(1.0, 2.0, 5.0))))
      .addEqualityGroup(Mean.create(), Mean.create())
      .addEqualityGroup(LastValue.create(), LastValue.create())
      .testEquals();
}
Example #2
Source File: AggregationTest.java    From opencensus-java with Apache License 2.0 6 votes vote down vote up 
@Test
public void testMatch() {
  List<Aggregation> aggregations =
      Arrays.asList(
          Sum.create(),
          Count.create(),
          Mean.create(),
          Distribution.create(BucketBoundaries.create(Arrays.asList(-10.0, 1.0, 5.0))),
          LastValue.create());

  List<String> actual = new ArrayList<String>();
  for (Aggregation aggregation : aggregations) {
    actual.add(
        aggregation.match(
            Functions.returnConstant("SUM"),
            Functions.returnConstant("COUNT"),
            Functions.returnConstant("DISTRIBUTION"),
            Functions.returnConstant("LASTVALUE"),
            Functions.returnConstant("UNKNOWN")));
  }

  assertThat(actual)
      .isEqualTo(Arrays.asList("SUM", "COUNT", "UNKNOWN", "DISTRIBUTION", "LASTVALUE"));
}
Example #3
Source File: ViewManagerImplTest.java    From opencensus-java with Apache License 2.0 6 votes vote down vote up 
@Test
public void testGetCumulativeViewDataWithEmptyBucketBoundaries() {
  Aggregation noHistogram =
      Distribution.create(BucketBoundaries.create(Collections.<Double>emptyList()));
  View view = createCumulativeView(VIEW_NAME, MEASURE_DOUBLE, noHistogram, Arrays.asList(KEY));
  clock.setTime(Timestamp.create(1, 0));
  viewManager.registerView(view);
  statsRecorder
      .newMeasureMap()
      .put(MEASURE_DOUBLE, 1.1)
      .record(tagger.emptyBuilder().put(KEY, VALUE).build());
  clock.setTime(Timestamp.create(3, 0));
  ViewData viewData = viewManager.getView(VIEW_NAME);
  assertThat(viewData.getWindowData())
      .isEqualTo(CumulativeData.create(Timestamp.create(1, 0), Timestamp.create(3, 0)));
  StatsTestUtil.assertAggregationMapEquals(
      viewData.getAggregationMap(),
      ImmutableMap.of(
          Arrays.asList(VALUE),
          StatsTestUtil.createAggregationData(noHistogram, MEASURE_DOUBLE, 1.1)),
      EPSILON);
}
Example #4
Source File: BatchWrite.java    From gcp-ingestion with Mozilla Public License 2.0 5 votes vote down vote up 
/**
 * Create exponential distribution for aggregating values.
 *
 * <p>Round boundaries to the nearest integer and remove duplicates.
 */
private static Distribution exponentialDistribution(double base, double expStart, double expStep,
    long steps) {
  return Distribution
      .create(BucketBoundaries.create(DoubleStream.iterate(expStart, v -> v + expStep)
          .limit(steps + 1).map(exp -> Math.round(Math.pow(base, exp))).distinct().boxed()
          .collect(Collectors.toList())));
}
Example #5
Source File: RecordUtilsTest.java    From opencensus-java with Apache License 2.0 5 votes vote down vote up 
@Test
public void createMutableAggregation() {
  BucketBoundaries bucketBoundaries = BucketBoundaries.create(Arrays.asList(-1.0, 0.0, 1.0));

  assertThat(
          RecordUtils.createMutableAggregation(Sum.create(), MEASURE_DOUBLE).toAggregationData())
      .isEqualTo(SumDataDouble.create(0));
  assertThat(RecordUtils.createMutableAggregation(Sum.create(), MEASURE_LONG).toAggregationData())
      .isEqualTo(SumDataLong.create(0));
  assertThat(
          RecordUtils.createMutableAggregation(Count.create(), MEASURE_DOUBLE)
              .toAggregationData())
      .isEqualTo(CountData.create(0));
  assertThat(
          RecordUtils.createMutableAggregation(Count.create(), MEASURE_LONG).toAggregationData())
      .isEqualTo(CountData.create(0));
  assertThat(
          RecordUtils.createMutableAggregation(Mean.create(), MEASURE_DOUBLE).toAggregationData())
      .isEqualTo(MeanData.create(0, 0));
  assertThat(
          RecordUtils.createMutableAggregation(Mean.create(), MEASURE_LONG).toAggregationData())
      .isEqualTo(MeanData.create(0, 0));
  assertThat(
          RecordUtils.createMutableAggregation(LastValue.create(), MEASURE_DOUBLE)
              .toAggregationData())
      .isEqualTo(LastValueDataDouble.create(Double.NaN));
  assertThat(
          RecordUtils.createMutableAggregation(LastValue.create(), MEASURE_LONG)
              .toAggregationData())
      .isEqualTo(LastValueDataLong.create(0));

  MutableDistribution mutableDistribution =
      (MutableDistribution)
          RecordUtils.createMutableAggregation(
              Distribution.create(bucketBoundaries), MEASURE_DOUBLE);
  assertThat(mutableDistribution.getSumOfSquaredDeviations()).isWithin(EPSILON).of(0);
  assertThat(mutableDistribution.getBucketCounts()).isEqualTo(new long[2]);
}
Example #6
Source File: Repl.java    From opencensus-java with Apache License 2.0 4 votes vote down vote up 
private static void registerAllViews() {
  // Defining the distribution aggregations
  Aggregation latencyDistribution =
      Distribution.create(
          BucketBoundaries.create(
              Arrays.asList(
                  // [>=0ms, >=25ms, >=50ms, >=75ms, >=100ms, >=200ms, >=400ms, >=600ms, >=800ms,
                  // >=1s, >=2s, >=4s, >=6s]
                  0.0,
                  25.0,
                  50.0,
                  75.0,
                  100.0,
                  200.0,
                  400.0,
                  600.0,
                  800.0,
                  1000.0,
                  2000.0,
                  4000.0,
                  6000.0)));

  Aggregation lengthsDistribution =
      Distribution.create(
          BucketBoundaries.create(
              Arrays.asList(
                  // [>=0B, >=5B, >=10B, >=20B, >=40B, >=60B, >=80B, >=100B, >=200B, >=400B,
                  // >=600B,
                  // >=800B, >=1000B]
                  0.0,
                  5.0,
                  10.0,
                  20.0,
                  40.0,
                  60.0,
                  80.0,
                  100.0,
                  200.0,
                  400.0,
                  600.0,
                  800.0,
                  1000.0)));

  // Define the count aggregation
  Aggregation countAggregation = Aggregation.Count.create();

  // So tagKeys
  List<TagKey> noKeys = new ArrayList<TagKey>();

  // Define the views
  View[] views =
      new View[] {
        View.create(
            Name.create("ocjavametrics/latency"),
            "The distribution of latencies",
            M_LATENCY_MS,
            latencyDistribution,
            Collections.singletonList(KEY_METHOD)),
        View.create(
            Name.create("ocjavametrics/lines_in"),
            "The number of lines read in from standard input",
            M_LINES_IN,
            countAggregation,
            noKeys),
        View.create(
            Name.create("ocjavametrics/errors"),
            "The number of errors encountered",
            M_ERRORS,
            countAggregation,
            Collections.singletonList(KEY_METHOD)),
        View.create(
            Name.create("ocjavametrics/line_lengths"),
            "The distribution of line lengths",
            M_LINE_LENGTHS,
            lengthsDistribution,
            noKeys)
      };

  // Create the view manager
  ViewManager vmgr = Stats.getViewManager();

  // Then finally register the views
  for (View view : views) {
    vmgr.registerView(view);
  }
}
Example #7
Source File: AggregationTest.java    From opencensus-java with Apache License 2.0 4 votes vote down vote up 
@Test
public void testCreateDistribution() {
  BucketBoundaries bucketBoundaries = BucketBoundaries.create(Arrays.asList(0.1, 2.2, 33.3));
  Distribution distribution = Distribution.create(bucketBoundaries);
  assertThat(distribution.getBucketBoundaries()).isEqualTo(bucketBoundaries);
}
Example #8
Source File: AggregationTest.java    From opencensus-java with Apache License 2.0 4 votes vote down vote up 
@Test
public void testNullBucketBoundaries() {
  thrown.expect(NullPointerException.class);
  thrown.expectMessage("bucketBoundaries");
  Distribution.create(null);
}
Example #9
Source File: RecordUtils.java    From opencensus-java with Apache License 2.0 4 votes vote down vote up 
@Override
public MutableAggregation apply(Distribution arg) {
  return MutableDistribution.create(arg.getBucketBoundaries());
}