Examples with TimeInterval com.google.monitoring.v3.TimeInterval used on opensource projects

Example 1 with TimeInterval

use of com.google.monitoring.v3.TimeInterval in project google-cloud-java by GoogleCloudPlatform.

the class MetricServiceClientTest method listTimeSeriesExceptionTest.

@Test
@SuppressWarnings("all")
public void listTimeSeriesExceptionTest() throws Exception {
    StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT);
    mockMetricService.addException(exception);
    try {
        ProjectName name = ProjectName.create("[PROJECT]");
        String filter = "filter-1274492040";
        TimeInterval interval = TimeInterval.newBuilder().build();
        ListTimeSeriesRequest.TimeSeriesView view = ListTimeSeriesRequest.TimeSeriesView.FULL;
        client.listTimeSeries(name, filter, interval, view);
        Assert.fail("No exception raised");
    } catch (ApiException e) {
        Assert.assertEquals(Status.INVALID_ARGUMENT.getCode(), e.getStatusCode());
    }
}

Example 2 with TimeInterval

use of com.google.monitoring.v3.TimeInterval in project java-docs-samples by GoogleCloudPlatform.

the class Snippets method listTimeSeriesAggregrate.

/**
 * 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]
}

Example 3 with TimeInterval

use of com.google.monitoring.v3.TimeInterval in project google-cloud-java by GoogleCloudPlatform.

the class MetricServiceClientTest method listTimeSeriesTest.

@Test
@SuppressWarnings("all")
public void listTimeSeriesTest() {
    String nextPageToken = "";
    TimeSeries timeSeriesElement = TimeSeries.newBuilder().build();
    List<TimeSeries> timeSeries = Arrays.asList(timeSeriesElement);
    ListTimeSeriesResponse expectedResponse = ListTimeSeriesResponse.newBuilder().setNextPageToken(nextPageToken).addAllTimeSeries(timeSeries).build();
    mockMetricService.addResponse(expectedResponse);
    ProjectName name = ProjectName.create("[PROJECT]");
    String filter = "filter-1274492040";
    TimeInterval interval = TimeInterval.newBuilder().build();
    ListTimeSeriesRequest.TimeSeriesView view = ListTimeSeriesRequest.TimeSeriesView.FULL;
    ListTimeSeriesPagedResponse pagedListResponse = client.listTimeSeries(name, filter, interval, view);
    List<TimeSeries> resources = Lists.newArrayList(pagedListResponse.iterateAll());
    Assert.assertEquals(1, resources.size());
    Assert.assertEquals(expectedResponse.getTimeSeriesList().get(0), resources.get(0));
    List<GeneratedMessageV3> actualRequests = mockMetricService.getRequests();
    Assert.assertEquals(1, actualRequests.size());
    ListTimeSeriesRequest actualRequest = (ListTimeSeriesRequest) actualRequests.get(0);
    Assert.assertEquals(name, actualRequest.getNameAsProjectName());
    Assert.assertEquals(filter, actualRequest.getFilter());
    Assert.assertEquals(interval, actualRequest.getInterval());
    Assert.assertEquals(view, actualRequest.getView());
}

Example 4 with TimeInterval

use of com.google.monitoring.v3.TimeInterval in project java-docs-samples by GoogleCloudPlatform.

the class Snippets method writeTimeSeries.

/**
 * 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]
}

Example 5 with TimeInterval

use of com.google.monitoring.v3.TimeInterval in project java-docs-samples by GoogleCloudPlatform.

the class Snippets method listTimeSeriesReduce.

/**
 * 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]
}