use of com.google.monitoring.v3.Aggregation 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]
}
use of com.google.monitoring.v3.Aggregation 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]
}
Aggregations