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Improve StackdriverWriter code
Add additional logic to handle cases when a MetricDescriptor is already defined on the server, fix an NPE in related code, and add additional tests to ensure that TimeSeries created from native MetricPoints are well-formed. ------------- Created by MOE: https://github.com/google/moe MOE_MIGRATED_REVID=130555708
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9e810c4b36
commit
7a041d066f
2 changed files with 107 additions and 67 deletions
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@ -18,6 +18,7 @@ import static com.google.common.base.Preconditions.checkArgument;
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import static com.google.common.base.Preconditions.checkNotNull;
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import static com.google.common.base.Preconditions.checkState;
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import com.google.api.client.googleapis.json.GoogleJsonResponseException;
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import com.google.api.services.monitoring.v3.Monitoring;
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import com.google.api.services.monitoring.v3.model.CreateTimeSeriesRequest;
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import com.google.api.services.monitoring.v3.model.LabelDescriptor;
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@ -54,6 +55,8 @@ import org.joda.time.format.ISODateTimeFormat;
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* <p>This class communicates with the API via HTTP. In order to increase throughput and minimize
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* CPU, it buffers points to be written until it has {@code maxPointsPerRequest} points buffered or
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* until {@link #flush()} is called.
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*
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* @see <a href="Stackdriver API Introduction">https://cloud.google.com/monitoring/api/v3/</a>
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*/
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// TODO(shikhman): add retry logic
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@NotThreadSafe
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@ -168,6 +171,98 @@ public class StackdriverWriter implements MetricWriter {
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public <V> void write(google.registry.monitoring.metrics.MetricPoint<V> point)
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throws IOException {
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checkNotNull(point);
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TimeSeries timeSeries = getEncodedTimeSeries(point);
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timeSeriesBuffer.add(timeSeries);
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logger.fine(String.format("Enqueued metric %s for writing", timeSeries.getMetric().getType()));
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if (timeSeriesBuffer.size() == maxPointsPerRequest) {
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flush();
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}
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}
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/** Flushes all buffered metric points to Stackdriver. This call is blocking. */
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@Override
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public void flush() throws IOException {
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checkState(timeSeriesBuffer.size() <= 200, FLUSH_OVERFLOW_ERROR);
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ImmutableList<TimeSeries> timeSeriesList = ImmutableList.copyOf(timeSeriesBuffer);
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timeSeriesBuffer.clear();
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CreateTimeSeriesRequest request = new CreateTimeSeriesRequest().setTimeSeries(timeSeriesList);
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rateLimiter.acquire();
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monitoringClient.projects().timeSeries().create(projectResource, request).execute();
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for (TimeSeries timeSeries : timeSeriesList) {
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pushedPoints.incrementBy(1, timeSeries.getMetricKind(), timeSeries.getValueType());
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}
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logger.info(String.format("Flushed %d metrics to Stackdriver", timeSeriesList.size()));
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}
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/**
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* Registers a metric's {@link MetricDescriptor} with the Monitoring API.
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*
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* @param metric the metric to be registered.
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* @see <a href="Stackdriver MetricDescriptor
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* API">https://cloud.google.com/monitoring/api/ref_v3/rest/v3/projects.metricDescriptors</a>
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*/
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@VisibleForTesting
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MetricDescriptor registerMetric(final google.registry.monitoring.metrics.Metric<?> metric)
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throws IOException {
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if (registeredDescriptors.containsKey(metric)) {
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logger.fine(
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String.format("Using existing metric descriptor %s", metric.getMetricSchema().name()));
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return registeredDescriptors.get(metric);
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}
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MetricDescriptor descriptor = createMetricDescriptor(metric);
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rateLimiter.acquire();
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// We try to create a descriptor, but it may have been created already, so we re-fetch it on
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// failure
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try {
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descriptor =
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monitoringClient
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.projects()
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.metricDescriptors()
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.create(projectResource, descriptor)
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.execute();
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logger.info(String.format("Registered new metric descriptor %s", descriptor.getType()));
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} catch (GoogleJsonResponseException jsonException) {
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// Not the error we were expecting, just give up
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if (!jsonException.getStatusMessage().equals("ALREADY_EXISTS")) {
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throw jsonException;
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}
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descriptor =
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monitoringClient
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.projects()
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.metricDescriptors()
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.get(projectResource + "/metricDescriptors/" + descriptor.getType())
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.execute();
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logger.info(
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String.format("Fetched existing metric descriptor %s", metric.getMetricSchema().name()));
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}
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registeredDescriptors.put(metric, descriptor);
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return descriptor;
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}
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/**
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* Encodes a {@link MetricPoint} into a Stackdriver {@link TimeSeries}.
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*
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* <p>This method will register the underlying {@link google.registry.monitoring.metrics.Metric}
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* as a Stackdriver {@link MetricDescriptor}.
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*
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* @see <a href="Stackdriver TimeSeries
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* API">https://cloud.google.com/monitoring/api/ref_v3/rest/v3/TimeSeries</a>
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*/
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@VisibleForTesting
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<V> TimeSeries getEncodedTimeSeries(google.registry.monitoring.metrics.MetricPoint<V> point)
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throws IOException {
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google.registry.monitoring.metrics.Metric<V> metric = point.metric();
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try {
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checkArgument(
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@ -208,6 +303,9 @@ public class StackdriverWriter implements MetricWriter {
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.setValue(encodedValue);
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List<LabelDescriptor> encodedLabels = descriptor.getLabels();
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// The MetricDescriptors returned by the GCM API have null fields rather than empty lists
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encodedLabels = encodedLabels == null ? ImmutableList.<LabelDescriptor>of() : encodedLabels;
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ImmutableMap.Builder<String, String> labelValues = new ImmutableMap.Builder<>();
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int i = 0;
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for (LabelDescriptor labelDescriptor : encodedLabels) {
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@ -217,71 +315,13 @@ public class StackdriverWriter implements MetricWriter {
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Metric encodedMetric =
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new Metric().setType(descriptor.getType()).setLabels(labelValues.build());
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timeSeriesBuffer.add(
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new TimeSeries()
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.setMetric(encodedMetric)
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.setPoints(ImmutableList.of(encodedPoint))
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.setResource(monitoredResource)
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// these two attributes are ignored by the API, we set them here to use elsewhere
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// for internal metrics.
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.setMetricKind(descriptor.getMetricKind())
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.setValueType(descriptor.getValueType()));
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logger.fine(String.format("Enqueued metric %s for writing", descriptor.getType()));
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if (timeSeriesBuffer.size() == maxPointsPerRequest) {
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flush();
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}
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}
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/** Flushes all buffered metric points to Stackdriver. This call is blocking. */
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@Override
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public void flush() throws IOException {
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checkState(timeSeriesBuffer.size() <= 200, FLUSH_OVERFLOW_ERROR);
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ImmutableList<TimeSeries> timeSeriesList = ImmutableList.copyOf(timeSeriesBuffer);
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timeSeriesBuffer.clear();
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CreateTimeSeriesRequest request = new CreateTimeSeriesRequest().setTimeSeries(timeSeriesList);
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rateLimiter.acquire();
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monitoringClient.projects().timeSeries().create(projectResource, request).execute();
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for (TimeSeries timeSeries : timeSeriesList) {
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pushedPoints.incrementBy(1, timeSeries.getMetricKind(), timeSeries.getValueType());
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}
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logger.info(String.format("Flushed %d metrics to Stackdriver", timeSeriesList.size()));
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}
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/**
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* Registers a metric's {@link MetricDescriptor} with the Monitoring API.
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*
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* @param metric the metric to be registered.
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*/
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@VisibleForTesting
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MetricDescriptor registerMetric(final google.registry.monitoring.metrics.Metric<?> metric) {
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if (registeredDescriptors.containsKey(metric)) {
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logger.info(
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String.format("Fetched existing metric descriptor %s", metric.getMetricSchema().name()));
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return registeredDescriptors.get(metric);
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}
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MetricDescriptor descriptor = createMetricDescriptor(metric);
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try {
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rateLimiter.acquire();
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descriptor =
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monitoringClient
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.projects()
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.metricDescriptors()
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.create(projectResource, descriptor)
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.execute();
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} catch (IOException e) {
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throw new RuntimeException("Error creating a MetricDescriptor");
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}
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logger.info(String.format("Registered new metric descriptor %s", descriptor.getType()));
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registeredDescriptors.put(metric, descriptor);
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return descriptor;
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return new TimeSeries()
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.setMetric(encodedMetric)
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.setPoints(ImmutableList.of(encodedPoint))
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.setResource(monitoredResource)
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// these two attributes are ignored by the API, we set them here to use elsewhere
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// for internal metrics.
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.setMetricKind(descriptor.getMetricKind())
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.setValueType(descriptor.getValueType());
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}
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}
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