com.google.monitoring.v3.TimeSeries Java Examples

private TimeSeries prepareMetric(MetricDescriptor requiredMetric, long metricValue) {
  TimeInterval interval =
      TimeInterval.newBuilder()
          .setEndTime(Timestamps.fromMillis(System.currentTimeMillis()))
          .build();
  TypedValue value = TypedValue.newBuilder().setInt64Value(metricValue).build();

  Point point = Point.newBuilder().setInterval(interval).setValue(value).build();

  List<Point> pointList = Lists.newArrayList();
  pointList.add(point);

  Metric metric = Metric.newBuilder().setType(requiredMetric.getName()).build();

  return TimeSeries.newBuilder().setMetric(metric).addAllPoints(pointList).build();
}
 

@Test
public void createTimeSeriesList_Cumulative() {
  List<TimeSeries> timeSeriesList =
      StackdriverExportUtils.createTimeSeriesList(
          METRIC,
          DEFAULT_RESOURCE,
          CUSTOM_OPENCENSUS_DOMAIN,
          PROJECT_ID,
          DEFAULT_CONSTANT_LABELS);
  assertThat(timeSeriesList).hasSize(1);
  TimeSeries expectedTimeSeries =
      TimeSeries.newBuilder()
          .setMetricKind(MetricKind.CUMULATIVE)
          .setValueType(MetricDescriptor.ValueType.DOUBLE)
          .setMetric(
              StackdriverExportUtils.createMetric(
                  METRIC_DESCRIPTOR,
                  LABEL_VALUE,
                  CUSTOM_OPENCENSUS_DOMAIN,
                  DEFAULT_CONSTANT_LABELS))
          .setResource(MonitoredResource.newBuilder().setType("global"))
          .addPoints(StackdriverExportUtils.createPoint(POINT, TIMESTAMP_2))
          .build();
  assertThat(timeSeriesList).containsExactly(expectedTimeSeries);
}
 

@Test
public void createTimeSeriesList_withCustomMonitoredResource() {
  MonitoredResource resource =
      MonitoredResource.newBuilder().setType("global").putLabels("key", "value").build();
  List<TimeSeries> timeSeriesList =
      StackdriverExportUtils.createTimeSeriesList(
          METRIC, resource, CUSTOM_OPENCENSUS_DOMAIN, PROJECT_ID, DEFAULT_CONSTANT_LABELS);
  assertThat(timeSeriesList)
      .containsExactly(
          TimeSeries.newBuilder()
              .setMetricKind(MetricKind.CUMULATIVE)
              .setValueType(MetricDescriptor.ValueType.DOUBLE)
              .setMetric(
                  StackdriverExportUtils.createMetric(
                      METRIC_DESCRIPTOR,
                      LABEL_VALUE,
                      CUSTOM_OPENCENSUS_DOMAIN,
                      DEFAULT_CONSTANT_LABELS))
              .setResource(resource)
              .addPoints(StackdriverExportUtils.createPoint(POINT, TIMESTAMP_2))
              .build());
}
 

/** Demonstrates listing time series using a filter. */
void listTimeSeries(String filter) throws IOException {
  // [START monitoring_read_timeseries_simple]
  MetricServiceClient metricServiceClient = MetricServiceClient.create();
  String projectId = System.getProperty("projectId");
  ProjectName name = ProjectName.of(projectId);

  // Restrict time to last 20 minutes
  long startMillis = System.currentTimeMillis() - ((60 * 20) * 1000);
  TimeInterval interval =
      TimeInterval.newBuilder()
          .setStartTime(Timestamps.fromMillis(startMillis))
          .setEndTime(Timestamps.fromMillis(System.currentTimeMillis()))
          .build();

  ListTimeSeriesRequest.Builder requestBuilder =
      ListTimeSeriesRequest.newBuilder()
          .setName(name.toString())
          .setFilter(filter)
          .setInterval(interval);

  ListTimeSeriesRequest request = requestBuilder.build();

  ListTimeSeriesPagedResponse response = metricServiceClient.listTimeSeries(request);

  System.out.println("Got timeseries: ");
  for (TimeSeries ts : response.iterateAll()) {
    System.out.println(ts);
  }
  // [END monitoring_read_timeseries_simple]
}
 

@Override
protected void doPost(HttpServletRequest req, HttpServletResponse resp)
    throws ServletException, IOException {
  JsonNode body = objectMapper.readTree(req.getReader());
  String name = body.path("name").asText();
  long token = body.path("token").asLong();

  logger.info("Creating Time series with name " + name + " and token " + token);

  MetricServiceClient serviceClient = MetricServiceClient.create();

  TimeSeries timeSeries =
      TimeSeries.newBuilder()
          .addPoints(Point.newBuilder()
              .setValue(TypedValue.newBuilder().setInt64Value(token))
              .setInterval(TimeInterval.newBuilder()
                .setEndTime(Timestamp.now().toProto())))
          .setMetric(Metric.newBuilder().setType(name))
          .build();

  serviceClient.createTimeSeries(
      ProjectName.create(ServiceOptions.getDefaultProjectId()),
      Collections.singletonList(timeSeries));

  resp.setContentType("text/plain");
  resp.getWriter().println("OK");
}
 

public List<TimeSeriesSummary> getTimeSeriesValues() {
  List<TimeSeriesSummary> summaries = Lists.newArrayList();
  createMetricsIfNeeded();
  for (MetricDescriptor metric : REQUIRED_METRICS) {
    ListTimeSeriesRequest listTimeSeriesRequest =
        ListTimeSeriesRequest.newBuilder()
            .setName(projectName)
            .setFilter(String.format("metric.type = \"%s\"", metric.getType()))
            .setInterval(
                TimeInterval.newBuilder()
                    .setStartTime(
                        Timestamps.subtract(
                            Timestamps.fromMillis(System.currentTimeMillis()),
                            com.google.protobuf.Duration.newBuilder()
                                .setSeconds(60L * 60L * 24L * 30L) //  30 days ago
                                .build()))
                    .setEndTime(Timestamps.fromMillis(System.currentTimeMillis()))
                    .build())
            .build();
    try {
      ListTimeSeriesPagedResponse listTimeSeriesResponse =
          client.listTimeSeries(listTimeSeriesRequest);
      ArrayList<TimeSeries> timeSeries = Lists.newArrayList(listTimeSeriesResponse.iterateAll());
      summaries.addAll(
          timeSeries
              .stream()
              .map(TimeSeriesSummary::fromTimeSeries)
              .collect(Collectors.toList()));
    } catch (RuntimeException ex) {
      os.println("MetricDescriptors not yet synced. Please try again in a moment.");
    }
  }
  return summaries;
}
 

private Int64TimeSeriesSummary(TimeSeries timeSeries) {
  super(timeSeries);
  Point max = getMostRecentPoint(timeSeries);
  if (max == null) {
    return;
  }
  mostRecentValue = max.getValue().getInt64Value();
  values =
      Lists.newArrayList(
          Collections2.transform(
              timeSeries.getPointsList(), point -> point.getValue().getInt64Value()));
}
 

private StringTimeSeriesSummary(TimeSeries timeSeries) {
  super(timeSeries);
  Point max = getMostRecentPoint(timeSeries);
  if (max == null) {
    return;
  }
  mostRecentValue = max.getValue().getStringValue();
  values =
      Lists.newArrayList(
          Collections2.transform(
              timeSeries.getPointsList(), point -> point.getValue().getStringValue()));
}
 

Point getMostRecentPoint(TimeSeries timeSeries) {
  Point max =
      Collections.max(
          timeSeries.getPointsList(),
          Comparator.comparingLong(p -> p.getInterval().getEndTime().getSeconds()));
  mostRecentRunTime = max.getInterval().getEndTime();
  return max;
}
 

public static TimeSeriesSummary fromTimeSeries(TimeSeries timeSeries) {
  switch (timeSeries.getValueType()) {
    case STRING:
      return new StringTimeSeriesSummary(timeSeries);
    case INT64:
      return new Int64TimeSeriesSummary(timeSeries);
    default:
      return null;
  }
}
 

/** Demonstrates listing time series and aggregating and reducing them. */
void listTimeSeriesReduce() throws IOException {
  // [START monitoring_read_timeseries_reduce]
  MetricServiceClient metricServiceClient = MetricServiceClient.create();
  String projectId = System.getProperty("projectId");
  ProjectName name = ProjectName.of(projectId);

  // Restrict time to last 20 minutes
  long startMillis = System.currentTimeMillis() - ((60 * 20) * 1000);
  TimeInterval interval =
      TimeInterval.newBuilder()
          .setStartTime(Timestamps.fromMillis(startMillis))
          .setEndTime(Timestamps.fromMillis(System.currentTimeMillis()))
          .build();

  Aggregation aggregation =
      Aggregation.newBuilder()
          .setAlignmentPeriod(Duration.newBuilder().setSeconds(600).build())
          .setPerSeriesAligner(Aggregation.Aligner.ALIGN_MEAN)
          .setCrossSeriesReducer(Aggregation.Reducer.REDUCE_MEAN)
          .build();

  ListTimeSeriesRequest.Builder requestBuilder =
      ListTimeSeriesRequest.newBuilder()
          .setName(name.toString())
          .setFilter("metric.type=\"compute.googleapis.com/instance/cpu/utilization\"")
          .setInterval(interval)
          .setAggregation(aggregation);

  ListTimeSeriesRequest request = requestBuilder.build();

  ListTimeSeriesPagedResponse response = metricServiceClient.listTimeSeries(request);

  System.out.println("Got timeseries: ");
  for (TimeSeries ts : response.iterateAll()) {
    System.out.println(ts);
  }
  // [END monitoring_read_timeseries_reduce]
}
 

/** Demonstrates listing time series and aggregating them. */
void listTimeSeriesAggregrate() throws IOException {
  // [START monitoring_read_timeseries_align]
  MetricServiceClient metricServiceClient = MetricServiceClient.create();
  String projectId = System.getProperty("projectId");
  ProjectName name = ProjectName.of(projectId);

  // Restrict time to last 20 minutes
  long startMillis = System.currentTimeMillis() - ((60 * 20) * 1000);
  TimeInterval interval =
      TimeInterval.newBuilder()
          .setStartTime(Timestamps.fromMillis(startMillis))
          .setEndTime(Timestamps.fromMillis(System.currentTimeMillis()))
          .build();

  Aggregation aggregation =
      Aggregation.newBuilder()
          .setAlignmentPeriod(Duration.newBuilder().setSeconds(600).build())
          .setPerSeriesAligner(Aggregation.Aligner.ALIGN_MEAN)
          .build();

  ListTimeSeriesRequest.Builder requestBuilder =
      ListTimeSeriesRequest.newBuilder()
          .setName(name.toString())
          .setFilter("metric.type=\"compute.googleapis.com/instance/cpu/utilization\"")
          .setInterval(interval)
          .setAggregation(aggregation);

  ListTimeSeriesRequest request = requestBuilder.build();

  ListTimeSeriesPagedResponse response = metricServiceClient.listTimeSeries(request);

  System.out.println("Got timeseries: ");
  for (TimeSeries ts : response.iterateAll()) {
    System.out.println(ts);
  }
  // [END monitoring_read_timeseries_align]
}
 

/** Demonstrates listing time series headers. */
void listTimeSeriesHeaders() throws IOException {
  // [START monitoring_read_timeseries_fields]
  MetricServiceClient metricServiceClient = MetricServiceClient.create();
  String projectId = System.getProperty("projectId");
  ProjectName name = ProjectName.of(projectId);

  // Restrict time to last 20 minutes
  long startMillis = System.currentTimeMillis() - ((60 * 20) * 1000);
  TimeInterval interval =
      TimeInterval.newBuilder()
          .setStartTime(Timestamps.fromMillis(startMillis))
          .setEndTime(Timestamps.fromMillis(System.currentTimeMillis()))
          .build();

  ListTimeSeriesRequest.Builder requestBuilder =
      ListTimeSeriesRequest.newBuilder()
          .setName(name.toString())
          .setFilter("metric.type=\"compute.googleapis.com/instance/cpu/utilization\"")
          .setInterval(interval)
          .setView(ListTimeSeriesRequest.TimeSeriesView.HEADERS);

  ListTimeSeriesRequest request = requestBuilder.build();

  ListTimeSeriesPagedResponse response = metricServiceClient.listTimeSeries(request);

  System.out.println("Got timeseries headers: ");
  for (TimeSeries ts : response.iterateAll()) {
    System.out.println(ts);
  }
  // [END monitoring_read_timeseries_fields]
}
 

@Test
public void export() {
  CreateTimeSeriesExporter exporter =
      new CreateTimeSeriesExporter(
          PROJECT_ID,
          new FakeMetricServiceClient(mockStub),
          DEFAULT_RESOURCE,
          null,
          DEFAULT_CONSTANT_LABELS);
  exporter.export(Collections.singletonList(METRIC));
  verify(mockStub, times(1)).createTimeSeriesCallable();

  List<TimeSeries> timeSeries =
      StackdriverExportUtils.createTimeSeriesList(
          METRIC,
          DEFAULT_RESOURCE,
          StackdriverExportUtils.CUSTOM_OPENCENSUS_DOMAIN,
          PROJECT_ID,
          DEFAULT_CONSTANT_LABELS);

  verify(mockCreateTimeSeriesCallable, times(1))
      .call(
          eq(
              CreateTimeSeriesRequest.newBuilder()
                  .setName("projects/" + PROJECT_ID)
                  .addAllTimeSeries(timeSeries)
                  .build()));
}
 

private static void createTimeSeries(
    List<LabelValue> labelValues,
    Value value,
    io.opencensus.common.Timestamp pointTimestamp,
    @javax.annotation.Nullable io.opencensus.common.Timestamp timeSeriesTimestamp,
    List<io.opencensus.metrics.export.TimeSeries> timeSeriesList) {
  timeSeriesList.add(
      io.opencensus.metrics.export.TimeSeries.createWithOnePoint(
          labelValues,
          io.opencensus.metrics.export.Point.create(value, pointTimestamp),
          timeSeriesTimestamp));
}
 

static List<TimeSeries> createTimeSeriesList(
    io.opencensus.metrics.export.Metric metric,
    MonitoredResource monitoredResource,
    String domain,
    String projectId,
    Map<LabelKey, LabelValue> constantLabels) {
  List<TimeSeries> timeSeriesList = Lists.newArrayList();
  io.opencensus.metrics.export.MetricDescriptor metricDescriptor = metric.getMetricDescriptor();

  if (!projectId.equals(cachedProjectIdForExemplar)) {
    cachedProjectIdForExemplar = projectId;
  }

  // Shared fields for all TimeSeries generated from the same Metric
  TimeSeries.Builder shared = TimeSeries.newBuilder();
  shared.setMetricKind(createMetricKind(metricDescriptor.getType()));
  shared.setResource(monitoredResource);
  shared.setValueType(createValueType(metricDescriptor.getType()));

  // Each entry in timeSeriesList will be converted into an independent TimeSeries object
  for (io.opencensus.metrics.export.TimeSeries timeSeries : metric.getTimeSeriesList()) {
    // TODO(mayurkale): Consider using setPoints instead of builder clone and addPoints.
    TimeSeries.Builder builder = shared.clone();
    builder.setMetric(
        createMetric(metricDescriptor, timeSeries.getLabelValues(), domain, constantLabels));

    io.opencensus.common.Timestamp startTimeStamp = timeSeries.getStartTimestamp();
    for (io.opencensus.metrics.export.Point point : timeSeries.getPoints()) {
      builder.addPoints(createPoint(point, startTimeStamp));
    }
    timeSeriesList.add(builder.build());
  }
  return timeSeriesList;
}
 

private void flush() {
  HashMap<IMonitoringEvent, Long> flushEvents = null;
  synchronized (aggregateEvents) {
    flushEvents = new HashMap<>(aggregateEvents);
    aggregateEvents.clear();
  }

  try {
    Timestamp flushTime = Timestamps.fromMillis(System.currentTimeMillis());

    List<TimeSeries> timeSeriesList = new ArrayList<>();
    for (IMonitoringEvent event : monitoredEvents) {
      TimeInterval interval = TimeInterval.newBuilder()
          .setEndTime(flushTime)
          .build();
      TypedValue value = TypedValue.newBuilder()
          .setInt64Value(flushEvents.getOrDefault(event, 0L))
          .build();
      Point point = Point.newBuilder()
          .setInterval(interval)
          .setValue(value)
          .build();

      List<Point> pointList = new ArrayList<>();
      pointList.add(point);

      Metric metric = Metric.newBuilder()
          .setType(event.getMetricName())
          .build();

      TimeSeries timeSeries = TimeSeries.newBuilder()
          .setMetric(metric)
          .setMetricKind(MetricDescriptor.MetricKind.GAUGE)
          .setResource(monitoredResource)
          .addAllPoints(pointList)
          .build();

      timeSeriesList.add(timeSeries);
    }

    ProjectName projectName = ProjectName.of(projectId);
    CreateTimeSeriesRequest request = CreateTimeSeriesRequest.newBuilder()
        .setName(projectName.toString())
        .addAllTimeSeries(timeSeriesList)
        .build();

    client.createTimeSeries(request);

    log.trace("Flushed {} non-zero time series", flushEvents.size());
    if (flushEvents.size() > 0) {
      log.info("Flushed: {}", flushEvents);
    }
  } catch (Throwable e) {
    log.error("Failed to flush time series", e);
  }
}
 

/**
 * Demonstrates writing a time series value for the metric type
 * 'custom.google.apis.com/my_metric'.
 *
 * <p>This method assumes `my_metric` descriptor has already been created as a DOUBLE value_type
 * and GAUGE metric kind. If the metric descriptor doesn't exist, it will be auto-created.
 */
// CHECKSTYLE OFF: VariableDeclarationUsageDistance
void writeTimeSeries() throws IOException {
  // [START monitoring_write_timeseries]
  String projectId = System.getProperty("projectId");
  // Instantiates a client
  MetricServiceClient metricServiceClient = MetricServiceClient.create();

  // Prepares an individual data point
  TimeInterval interval =
      TimeInterval.newBuilder()
          .setEndTime(Timestamps.fromMillis(System.currentTimeMillis()))
          .build();
  TypedValue value = TypedValue.newBuilder().setDoubleValue(123.45).build();
  Point point = Point.newBuilder().setInterval(interval).setValue(value).build();

  List<Point> pointList = new ArrayList<>();
  pointList.add(point);

  ProjectName name = ProjectName.of(projectId);

  // Prepares the metric descriptor
  Map<String, String> metricLabels = new HashMap<>();
  Metric metric =
      Metric.newBuilder()
          .setType("custom.googleapis.com/my_metric")
          .putAllLabels(metricLabels)
          .build();

  // Prepares the monitored resource descriptor
  Map<String, String> resourceLabels = new HashMap<>();
  resourceLabels.put("instance_id", "1234567890123456789");
  resourceLabels.put("zone", "us-central1-f");

  MonitoredResource resource =
      MonitoredResource.newBuilder().setType("gce_instance").putAllLabels(resourceLabels).build();

  // Prepares the time series request
  TimeSeries timeSeries =
      TimeSeries.newBuilder()
          .setMetric(metric)
          .setResource(resource)
          .addAllPoints(pointList)
          .build();

  List<TimeSeries> timeSeriesList = new ArrayList<>();
  timeSeriesList.add(timeSeries);

  CreateTimeSeriesRequest request =
      CreateTimeSeriesRequest.newBuilder()
          .setName(name.toString())
          .addAllTimeSeries(timeSeriesList)
          .build();

  // Writes time series data
  metricServiceClient.createTimeSeries(request);
  System.out.println("Done writing time series value.");
  // [END monitoring_write_timeseries]
}
 

public static void main(String... args) throws Exception {
  // Your Google Cloud Platform project ID
  String projectId = System.getProperty("projectId");

  if (projectId == null) {
    System.err.println("Usage: QuickstartSample -DprojectId=YOUR_PROJECT_ID");
    return;
  }

  // Instantiates a client
  MetricServiceClient metricServiceClient = MetricServiceClient.create();

  // Prepares an individual data point
  TimeInterval interval =
      TimeInterval.newBuilder()
          .setEndTime(Timestamps.fromMillis(System.currentTimeMillis()))
          .build();
  TypedValue value = TypedValue.newBuilder().setDoubleValue(3.14).build();
  Point point = Point.newBuilder().setInterval(interval).setValue(value).build();

  List<Point> pointList = new ArrayList<>();
  pointList.add(point);

  ProjectName name = ProjectName.of(projectId);

  // Prepares the metric descriptor
  Map<String, String> metricLabels = new HashMap<String, String>();
  metricLabels.put("store_id", "Pittsburg");
  Metric metric =
      Metric.newBuilder()
          .setType("custom.googleapis.com/my_metric")
          .putAllLabels(metricLabels)
          .build();

  // Prepares the monitored resource descriptor
  Map<String, String> resourceLabels = new HashMap<String, String>();
  resourceLabels.put("instance_id", "1234567890123456789");
  resourceLabels.put("zone", "us-central1-f");
  MonitoredResource resource =
      MonitoredResource.newBuilder().setType("gce_instance").putAllLabels(resourceLabels).build();

  // Prepares the time series request
  TimeSeries timeSeries =
      TimeSeries.newBuilder()
          .setMetric(metric)
          .setResource(resource)
          .addAllPoints(pointList)
          .build();
  List<TimeSeries> timeSeriesList = new ArrayList<>();
  timeSeriesList.add(timeSeries);

  CreateTimeSeriesRequest request =
      CreateTimeSeriesRequest.newBuilder()
          .setName(name.toString())
          .addAllTimeSeries(timeSeriesList)
          .build();

  // Writes time series data
  metricServiceClient.createTimeSeries(request);

  System.out.printf("Done writing time series data.%n");

  metricServiceClient.close();
}
 

private TimeSeriesSummary(TimeSeries timeSeries) {
  name = timeSeries.getMetric().getType();
}
 

@Test
public void createTimeSeriesList_Gauge() {
  io.opencensus.metrics.export.Metric metric =
      io.opencensus.metrics.export.Metric.create(
          GAUGE_METRIC_DESCRIPTOR, Arrays.asList(GAUGE_TIME_SERIES, GAUGE_TIME_SERIES_2));

  List<TimeSeries> timeSeriesList =
      StackdriverExportUtils.createTimeSeriesList(
          metric,
          DEFAULT_RESOURCE,
          CUSTOM_OPENCENSUS_DOMAIN,
          PROJECT_ID,
          DEFAULT_CONSTANT_LABELS);
  assertThat(timeSeriesList).hasSize(2);
  TimeSeries expected1 =
      TimeSeries.newBuilder()
          .setMetricKind(MetricKind.GAUGE)
          .setValueType(MetricDescriptor.ValueType.DOUBLE)
          .setMetric(
              StackdriverExportUtils.createMetric(
                  GAUGE_METRIC_DESCRIPTOR,
                  LABEL_VALUE,
                  CUSTOM_OPENCENSUS_DOMAIN,
                  DEFAULT_CONSTANT_LABELS))
          .setResource(MonitoredResource.newBuilder().setType("global"))
          .addPoints(StackdriverExportUtils.createPoint(POINT, null))
          .build();
  TimeSeries expected2 =
      TimeSeries.newBuilder()
          .setMetricKind(MetricKind.GAUGE)
          .setValueType(MetricDescriptor.ValueType.DOUBLE)
          .setMetric(
              StackdriverExportUtils.createMetric(
                  GAUGE_METRIC_DESCRIPTOR,
                  LABEL_VALUE_2,
                  CUSTOM_OPENCENSUS_DOMAIN,
                  DEFAULT_CONSTANT_LABELS))
          .setResource(MonitoredResource.newBuilder().setType("global"))
          .addPoints(StackdriverExportUtils.createPoint(POINT_2, null))
          .build();
  assertThat(timeSeriesList).containsExactly(expected1, expected2);
}
 

@Test
public void createTimeSeriesList_Distribution() {
  List<TimeSeries> timeSeriesList =
      StackdriverExportUtils.createTimeSeriesList(
          DISTRIBUTION_METRIC,
          DEFAULT_RESOURCE,
          CUSTOM_OPENCENSUS_DOMAIN,
          PROJECT_ID,
          DEFAULT_CONSTANT_LABELS);

  assertThat(timeSeriesList.size()).isEqualTo(1);
  TimeSeries timeSeries = timeSeriesList.get(0);
  assertThat(timeSeries.getPointsCount()).isEqualTo(1);
  String expectedSpanName =
      "projects/id/traces/00000000000000000000000000000000/spans/0000000000000000";
  assertThat(timeSeries.getPoints(0).getValue().getDistributionValue())
      .isEqualTo(
          com.google.api.Distribution.newBuilder()
              .setCount(3)
              .setMean(0.6666666666666666)
              .setBucketOptions(
                  BucketOptions.newBuilder()
                      .setExplicitBuckets(
                          Explicit.newBuilder()
                              .addAllBounds(Arrays.asList(0.0, 1.0, 3.0, 5.0))
                              .build())
                      .build())
              .addAllBucketCounts(Arrays.asList(0L, 3L, 1L, 2L, 4L))
              .setSumOfSquaredDeviation(14)
              .addAllExemplars(
                  Arrays.<Distribution.Exemplar>asList(
                      Distribution.Exemplar.newBuilder()
                          .setValue(1.2)
                          .setTimestamp(StackdriverExportUtils.convertTimestamp(TIMESTAMP_2))
                          .addAttachments(
                              Any.newBuilder()
                                  .setTypeUrl(
                                      StackdriverExportUtils.EXEMPLAR_ATTACHMENT_TYPE_STRING)
                                  .setValue(ByteString.copyFromUtf8("value"))
                                  .build())
                          .build(),
                      Distribution.Exemplar.newBuilder()
                          .setValue(5.6)
                          .setTimestamp(StackdriverExportUtils.convertTimestamp(TIMESTAMP_3))
                          .addAttachments(
                              Any.newBuilder()
                                  .setTypeUrl(
                                      StackdriverExportUtils
                                          .EXEMPLAR_ATTACHMENT_TYPE_SPAN_CONTEXT)
                                  .setValue(
                                      SpanContext.newBuilder()
                                          .setSpanName(expectedSpanName)
                                          .build()
                                          .toByteString())
                                  .build())
                          .build()))
              .build());
}
 

public void runQuery() throws InterruptedException {
  QueryJobConfiguration queryConfig =
      QueryJobConfiguration.newBuilder(
              "SELECT "
                  + "CONCAT('https://stackoverflow.com/questions/', CAST(id as STRING)) as url, "
                  + "view_count "
                  + "FROM `bigquery-public-data.stackoverflow.posts_questions` "
                  + "WHERE tags like '%google-bigquery%' "
                  + "ORDER BY favorite_count DESC LIMIT 10")
          // Use standard SQL syntax for queries.
          // See: https://cloud.google.com/bigquery/sql-reference/
          .setUseLegacySql(false)
          .build();

  List<TimeSeries> timeSeriesList = new ArrayList<>();

  long queryStartTime = System.currentTimeMillis();

  // Create a job ID so that we can safely retry.
  JobId jobId = JobId.of(UUID.randomUUID().toString());
  Job queryJob = bigquery.create(JobInfo.newBuilder(queryConfig).setJobId(jobId).build());

  // Wait for the query to complete.
  queryJob = queryJob.waitFor();

  // Check for errors
  if (queryJob == null) {
    throw new RuntimeException("Job no longer exists");
  } else if (queryJob.getStatus().getError() != null) {
    // You can also look at queryJob.getStatus().getExecutionErrors() for all
    // errors, not just the latest one.
    throw new RuntimeException(queryJob.getStatus().getError().toString());
  }

  // Log the result metrics.
  TableResult result = queryJob.getQueryResults();

  long queryEndTime = System.currentTimeMillis();
  // Add query duration metric.
  timeSeriesList.add(prepareMetric(QUERY_DURATION_METRIC, queryEndTime - queryStartTime));

  // Add rows returned metric.
  timeSeriesList.add(prepareMetric(ROWS_RETURNED_METRIC, result.getTotalRows()));

  // Prepares the time series request
  CreateTimeSeriesRequest request =
      CreateTimeSeriesRequest.newBuilder()
          .setName(projectName)
          .addAllTimeSeries(timeSeriesList)
          .build();

  createMetricsIfNeeded();
  client.createTimeSeries(request);
  os.println("Done writing metrics.");

  mostRecentRunResult = result;
}
 

private static void addMetric(
    List<io.opencensus.metrics.export.Metric> metricsList,
    io.opencensus.metrics.export.MetricDescriptor metricDescriptor,
    List<io.opencensus.metrics.export.TimeSeries> timeSeriesList) {
  metricsList.add(io.opencensus.metrics.export.Metric.create(metricDescriptor, timeSeriesList));
}
 

@VisibleForTesting
static List<io.opencensus.metrics.export.Metric> convertSummaryMetric(
    io.opencensus.metrics.export.Metric summaryMetric) {
  List<io.opencensus.metrics.export.Metric> metricsList = Lists.newArrayList();
  final List<io.opencensus.metrics.export.TimeSeries> percentileTimeSeries = new ArrayList<>();
  final List<io.opencensus.metrics.export.TimeSeries> summaryCountTimeSeries = new ArrayList<>();
  final List<io.opencensus.metrics.export.TimeSeries> summarySumTimeSeries = new ArrayList<>();
  for (final io.opencensus.metrics.export.TimeSeries timeSeries :
      summaryMetric.getTimeSeriesList()) {
    final List<LabelValue> labelValuesWithPercentile =
        new ArrayList<>(timeSeries.getLabelValues());
    final io.opencensus.common.Timestamp timeSeriesTimestamp = timeSeries.getStartTimestamp();
    for (io.opencensus.metrics.export.Point point : timeSeries.getPoints()) {
      final io.opencensus.common.Timestamp pointTimestamp = point.getTimestamp();
      point
          .getValue()
          .match(
              Functions.<Void>returnNull(),
              Functions.<Void>returnNull(),
              Functions.<Void>returnNull(),
              new Function<Summary, Void>() {
                @Override
                public Void apply(Summary summary) {
                  Long count = summary.getCount();
                  if (count != null) {
                    createTimeSeries(
                        timeSeries.getLabelValues(),
                        Value.longValue(count),
                        pointTimestamp,
                        timeSeriesTimestamp,
                        summaryCountTimeSeries);
                  }
                  Double sum = summary.getSum();
                  if (sum != null) {
                    createTimeSeries(
                        timeSeries.getLabelValues(),
                        Value.doubleValue(sum),
                        pointTimestamp,
                        timeSeriesTimestamp,
                        summarySumTimeSeries);
                  }
                  Snapshot snapshot = summary.getSnapshot();
                  for (ValueAtPercentile valueAtPercentile : snapshot.getValueAtPercentiles()) {
                    labelValuesWithPercentile.add(
                        LabelValue.create(valueAtPercentile.getPercentile() + ""));
                    createTimeSeries(
                        labelValuesWithPercentile,
                        Value.doubleValue(valueAtPercentile.getValue()),
                        pointTimestamp,
                        null,
                        percentileTimeSeries);
                    labelValuesWithPercentile.remove(labelValuesWithPercentile.size() - 1);
                  }
                  return null;
                }
              },
              Functions.<Void>returnNull());
    }
  }

  // Metric for summary->count.
  if (summaryCountTimeSeries.size() > 0) {
    addMetric(
        metricsList,
        io.opencensus.metrics.export.MetricDescriptor.create(
            summaryMetric.getMetricDescriptor().getName() + SUMMARY_SUFFIX_COUNT,
            summaryMetric.getMetricDescriptor().getDescription(),
            "1",
            Type.CUMULATIVE_INT64,
            summaryMetric.getMetricDescriptor().getLabelKeys()),
        summaryCountTimeSeries);
  }

  // Metric for summary->sum.
  if (summarySumTimeSeries.size() > 0) {
    addMetric(
        metricsList,
        io.opencensus.metrics.export.MetricDescriptor.create(
            summaryMetric.getMetricDescriptor().getName() + SUMMARY_SUFFIX_SUM,
            summaryMetric.getMetricDescriptor().getDescription(),
            summaryMetric.getMetricDescriptor().getUnit(),
            Type.CUMULATIVE_DOUBLE,
            summaryMetric.getMetricDescriptor().getLabelKeys()),
        summarySumTimeSeries);
  }

  // Metric for summary->snapshot->percentiles.
  List<LabelKey> labelKeys = new ArrayList<>(summaryMetric.getMetricDescriptor().getLabelKeys());
  labelKeys.add(PERCENTILE_LABEL_KEY);
  addMetric(
      metricsList,
      io.opencensus.metrics.export.MetricDescriptor.create(
          summaryMetric.getMetricDescriptor().getName() + SNAPSHOT_SUFFIX_PERCENTILE,
          summaryMetric.getMetricDescriptor().getDescription(),
          summaryMetric.getMetricDescriptor().getUnit(),
          Type.GAUGE_DOUBLE,
          labelKeys),
      percentileTimeSeries);
  return metricsList;
}