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Add encoding for the Stackdriver Distribution value type to StackdriverWriter

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-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=132327732
This commit is contained in:
shikhman 2016-09-06 09:15:48 -07:00 • committed by Ben McIlwain
parent 6f241c5605
commit 969d9483ae
2 changed files with 187 additions and 0 deletions
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135
javatests/google/registry/monitoring/metrics/StackdriverWriterTest.java
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@ -29,7 +29,11 @@ import com.google.api.client.googleapis.json.GoogleJsonResponseException;
import com.google.api.client.http.HttpResponse;
import com.google.api.client.http.HttpResponseException;
import com.google.api.services.monitoring.v3.Monitoring;
import com.google.api.services.monitoring.v3.model.BucketOptions;
import com.google.api.services.monitoring.v3.model.CreateTimeSeriesRequest;
import com.google.api.services.monitoring.v3.model.Explicit;
import com.google.api.services.monitoring.v3.model.Exponential;
import com.google.api.services.monitoring.v3.model.Linear;
import com.google.api.services.monitoring.v3.model.MetricDescriptor;
import com.google.api.services.monitoring.v3.model.MonitoredResource;
import com.google.api.services.monitoring.v3.model.Point;
@ -352,4 +356,135 @@ public class StackdriverWriterTest {
assertThat(point.getInterval().getEndTime()).isEqualTo("1970-01-01T00:00:01.337Z");
assertThat(point.getInterval().getStartTime()).isEqualTo("1970-01-01T00:00:01.337Z");
}
@Test
public void getEncodedTimeSeries_distributionMetricCustomFitter_encodes() throws Exception {
StackdriverWriter writer =
new StackdriverWriter(client, PROJECT, MONITORED_RESOURCE, MAX_QPS, MAX_POINTS_PER_REQUEST);
Metric<Distribution> metric =
new StoredMetric<>(
"/name",
"desc",
"vdn",
ImmutableSet.of(LabelDescriptor.create("label", "description")),
Distribution.class);
MetricDescriptor descriptor = StackdriverWriter.createMetricDescriptor(metric);
when(metricDescriptorCreate.execute()).thenReturn(descriptor);
MutableDistribution distribution =
new MutableDistribution(CustomFitter.create(ImmutableSet.of(5.0)));
distribution.add(10.0, 5L);
distribution.add(0.0, 5L);
MetricPoint<Distribution> nativePoint =
MetricPoint.create(metric, ImmutableList.of("foo"), new Instant(1337), distribution);
TimeSeries timeSeries = writer.getEncodedTimeSeries(nativePoint);
assertThat(timeSeries.getValueType()).isEqualTo("DISTRIBUTION");
assertThat(timeSeries.getMetricKind()).isEqualTo("GAUGE");
List<Point> points = timeSeries.getPoints();
assertThat(points).hasSize(1);
Point point = points.get(0);
assertThat(point.getValue().getDistributionValue())
.isEqualTo(
new com.google.api.services.monitoring.v3.model.Distribution()
.setMean(5.0)
.setSumOfSquaredDeviation(250.0)
.setCount(10L)
.setBucketCounts(ImmutableList.of(5L, 5L))
.setBucketOptions(
new BucketOptions()
.setExplicitBuckets(new Explicit().setBounds(ImmutableList.of(5.0)))));
assertThat(point.getInterval().getEndTime()).isEqualTo("1970-01-01T00:00:01.337Z");
assertThat(point.getInterval().getStartTime()).isEqualTo("1970-01-01T00:00:01.337Z");
}
@Test
public void getEncodedTimeSeries_distributionMetricLinearFitter_encodes() throws Exception {
StackdriverWriter writer =
new StackdriverWriter(client, PROJECT, MONITORED_RESOURCE, MAX_QPS, MAX_POINTS_PER_REQUEST);
Metric<Distribution> metric =
new StoredMetric<>(
"/name",
"desc",
"vdn",
ImmutableSet.of(LabelDescriptor.create("label", "description")),
Distribution.class);
MetricDescriptor descriptor = StackdriverWriter.createMetricDescriptor(metric);
when(metricDescriptorCreate.execute()).thenReturn(descriptor);
MutableDistribution distribution = new MutableDistribution(LinearFitter.create(2, 5.0, 3.0));
distribution.add(0.0, 1L);
distribution.add(3.0, 2L);
distribution.add(10.0, 5L);
distribution.add(20.0, 5L);
MetricPoint<Distribution> nativePoint =
MetricPoint.create(metric, ImmutableList.of("foo"), new Instant(1337), distribution);
TimeSeries timeSeries = writer.getEncodedTimeSeries(nativePoint);
assertThat(timeSeries.getValueType()).isEqualTo("DISTRIBUTION");
assertThat(timeSeries.getMetricKind()).isEqualTo("GAUGE");
List<Point> points = timeSeries.getPoints();
assertThat(points).hasSize(1);
Point point = points.get(0);
assertThat(point.getValue().getDistributionValue())
.isEqualTo(
new com.google.api.services.monitoring.v3.model.Distribution()
.setMean(12.0)
.setSumOfSquaredDeviation(646.0)
.setCount(13L)
.setBucketCounts(ImmutableList.of(1L, 2L, 5L, 5L))
.setBucketOptions(
new BucketOptions()
.setLinearBuckets(
new Linear().setNumFiniteBuckets(2).setWidth(5.0).setOffset(3.0))));
assertThat(point.getInterval().getEndTime()).isEqualTo("1970-01-01T00:00:01.337Z");
assertThat(point.getInterval().getStartTime()).isEqualTo("1970-01-01T00:00:01.337Z");
}
@Test
public void getEncodedTimeSeries_distributionMetricExponentialFitter_encodes() throws Exception {
StackdriverWriter writer =
new StackdriverWriter(client, PROJECT, MONITORED_RESOURCE, MAX_QPS, MAX_POINTS_PER_REQUEST);
Metric<Distribution> metric =
new StoredMetric<>(
"/name",
"desc",
"vdn",
ImmutableSet.of(LabelDescriptor.create("label", "description")),
Distribution.class);
MetricDescriptor descriptor = StackdriverWriter.createMetricDescriptor(metric);
when(metricDescriptorCreate.execute()).thenReturn(descriptor);
MutableDistribution distribution =
new MutableDistribution(ExponentialFitter.create(2, 3.0, 0.5));
distribution.add(0.0, 1L);
distribution.add(3.0, 2L);
distribution.add(10.0, 5L);
distribution.add(20.0, 5L);
MetricPoint<Distribution> nativePoint =
MetricPoint.create(metric, ImmutableList.of("foo"), new Instant(1337), distribution);
TimeSeries timeSeries = writer.getEncodedTimeSeries(nativePoint);
assertThat(timeSeries.getValueType()).isEqualTo("DISTRIBUTION");
assertThat(timeSeries.getMetricKind()).isEqualTo("GAUGE");
List<Point> points = timeSeries.getPoints();
assertThat(points).hasSize(1);
Point point = points.get(0);
assertThat(point.getValue().getDistributionValue())
.isEqualTo(
new com.google.api.services.monitoring.v3.model.Distribution()
.setMean(12.0)
.setSumOfSquaredDeviation(646.0)
.setCount(13L)
.setBucketCounts(ImmutableList.of(1L, 0L, 2L, 10L))
.setBucketOptions(
new BucketOptions()
.setExponentialBuckets(
new Exponential()
.setNumFiniteBuckets(2)
.setGrowthFactor(3.0)
.setScale(0.5))));
assertThat(point.getInterval().getEndTime()).isEqualTo("1970-01-01T00:00:01.337Z");
assertThat(point.getInterval().getStartTime()).isEqualTo("1970-01-01T00:00:01.337Z");
}
}