use of com.google.api.ads.admanager.axis.v202111.TimeSeries in project java-docs-samples by GoogleCloudPlatform.
the class BigQueryRunner method runQuery.
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").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) {
// 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;
}
use of com.google.api.ads.admanager.axis.v202111.TimeSeries in project java-docs-samples by GoogleCloudPlatform.
the class BigQueryRunner method getTimeSeriesValues.
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(// 30 days ago
60L * 60L * 24L * 30L).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;
}
use of com.google.api.ads.admanager.axis.v202111.TimeSeries in project java-docs-samples by GoogleCloudPlatform.
the class QuickstartSample method main.
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();
}
use of com.google.api.ads.admanager.axis.v202111.TimeSeries in project java-docs-samples by GoogleCloudPlatform.
the class Snippets method listTimeSeriesHeaders.
// CHECKSTYLE ON: VariableDeclarationUsageDistance
/**
* 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]
}
use of com.google.api.ads.admanager.axis.v202111.TimeSeries 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]
}
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