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使用客户端库

演示如何将时间序列数据写入自定义销售指标。

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如需查看包含此代码示例的详细文档，请参阅以下内容：

Monitoring 客户端库

代码示例

C#

如需向 Monitoring 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


using System;
using System.Collections.Generic;
using Google.Cloud.Monitoring.V3;
using Google.Protobuf.WellKnownTypes;
using Google.Api;
using Google.Api.Gax.ResourceNames;

namespace GoogleCloudSamples
{
    public class QuickStart
    {
        public static void Main(string[] args)
        {
            // Your Google Cloud Platform project ID.
            string projectId = "YOUR-PROJECT-ID";

            // Create client.
            MetricServiceClient metricServiceClient = MetricServiceClient.Create();

            // Initialize request argument(s).
            ProjectName name = new ProjectName(projectId);

            // Prepare a data point.
            TypedValue salesTotal = new TypedValue
            {
                DoubleValue = 123.45
            };
            Point dataPoint = new Point
            {
                Value = salesTotal
            };
            // Sets data point's interval end time to current time.
            DateTime UnixEpoch = new DateTime(1970, 1, 1, 0, 0, 0, DateTimeKind.Utc);
            Timestamp timeStamp = new Timestamp
            {
                Seconds = (long)(DateTime.UtcNow - UnixEpoch).TotalSeconds
            };
            TimeInterval interval = new TimeInterval
            {
                EndTime = timeStamp
            };
            dataPoint.Interval = interval;

            // Prepare custom metric.
            Metric metric = new Metric
            {
                Type = "custom.googleapis.com/my_metric"
            };
            metric.Labels.Add("store_id", "Pittsburgh");

            // Prepare monitored resource.
            MonitoredResource resource = new MonitoredResource
            {
                Type = "gce_instance"
            };
            
            resource.Labels.Add("project_id", projectId);
            resource.Labels.Add("instance_id", "1234567890123456789");
            resource.Labels.Add("zone", "us-central1-f");

            // Create a new time series using inputs.
            TimeSeries timeSeriesData = new TimeSeries
            {
                Metric = metric,
                Resource = resource
            };
            timeSeriesData.Points.Add(dataPoint);

            // Add newly created time series to list of time series to be written.
            IEnumerable<TimeSeries> timeSeries = new List<TimeSeries> { timeSeriesData };
            // Write time series data.
            metricServiceClient.CreateTimeSeries(name, timeSeries);
            Console.WriteLine("Done writing time series data.");
        }
    }
}

Go

如需向 Monitoring 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


// Sample monitoring-quickstart writes a data point to Stackdriver Monitoring.
package main

import (
	"context"
	"fmt"
	"log"
	"time"

	monitoring "cloud.google.com/go/monitoring/apiv3/v2"
	"cloud.google.com/go/monitoring/apiv3/v2/monitoringpb"
	googlepb "github.com/golang/protobuf/ptypes/timestamp"
	metricpb "google.golang.org/genproto/googleapis/api/metric"
	monitoredrespb "google.golang.org/genproto/googleapis/api/monitoredres"
)

func main() {
	ctx := context.Background()

	// Creates a client.
	client, err := monitoring.NewMetricClient(ctx)
	if err != nil {
		log.Fatalf("Failed to create client: %v", err)
	}

	// Sets your Google Cloud Platform project ID.
	projectID := "YOUR_PROJECT_ID"

	// Prepares an individual data point
	dataPoint := &monitoringpb.Point{
		Interval: &monitoringpb.TimeInterval{
			EndTime: &googlepb.Timestamp{
				Seconds: time.Now().Unix(),
			},
		},
		Value: &monitoringpb.TypedValue{
			Value: &monitoringpb.TypedValue_DoubleValue{
				DoubleValue: 123.45,
			},
		},
	}

	// Writes time series data.
	if err := client.CreateTimeSeries(ctx, &monitoringpb.CreateTimeSeriesRequest{
		Name: fmt.Sprintf("projects/%s", projectID),
		TimeSeries: []*monitoringpb.TimeSeries{
			{
				Metric: &metricpb.Metric{
					Type: "custom.googleapis.com/stores/daily_sales",
					Labels: map[string]string{
						"store_id": "Pittsburg",
					},
				},
				Resource: &monitoredrespb.MonitoredResource{
					Type: "global",
					Labels: map[string]string{
						"project_id": projectID,
					},
				},
				Points: []*monitoringpb.Point{
					dataPoint,
				},
			},
		},
	}); err != nil {
		log.Fatalf("Failed to write time series data: %v", err)
	}

	// Closes the client and flushes the data to Stackdriver.
	if err := client.Close(); err != nil {
		log.Fatalf("Failed to close client: %v", err)
	}

	fmt.Printf("Done writing time series data.\n")
}

Java

如需向 Monitoring 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import com.google.api.Metric;
import com.google.api.MonitoredResource;
import com.google.cloud.monitoring.v3.MetricServiceClient;
import com.google.monitoring.v3.CreateTimeSeriesRequest;
import com.google.monitoring.v3.Point;
import com.google.monitoring.v3.ProjectName;
import com.google.monitoring.v3.TimeInterval;
import com.google.monitoring.v3.TimeSeries;
import com.google.monitoring.v3.TypedValue;
import com.google.protobuf.util.Timestamps;
import java.io.IOException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

public class QuickstartSample {

  public static void main(String... args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    quickstart(projectId);
  }

  public static void quickstart(String projectId) throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests.
    try (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<>();
      metricLabels.put("store_id", "Pittsburg");
      Metric metric =
          Metric.newBuilder()
              .setType("custom.googleapis.com/stores/daily_sales")
              .putAllLabels(metricLabels)
              .build();

      // Prepares the monitored resource descriptor
      Map<String, String> resourceLabels = new HashMap<>();
      resourceLabels.put("project_id", projectId);
      MonitoredResource resource =
          MonitoredResource.newBuilder().setType("global").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");
    }
  }
}

Node.js

如需向 Monitoring 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

// Imports the Google Cloud client library
const monitoring = require('@google-cloud/monitoring');

async function quickstart() {
  // Creates a client
  const client = new monitoring.MetricServiceClient();

  // TODO(developer): Uncomment and set the following variables
  // const projectId = "PROJECT_ID"

  // Prepares an individual data point
  const dataPoint = {
    interval: {
      endTime: {
        seconds: Date.now() / 1000,
      },
    },
    value: {
      // The amount of sales
      doubleValue: 123.45,
    },
  };

  // Prepares the time series request
  const request = {
    name: client.projectPath(projectId),
    timeSeries: [
      {
        // Ties the data point to a custom metric
        metric: {
          type: 'custom.googleapis.com/stores/daily_sales',
          labels: {
            store_id: 'Pittsburgh',
          },
        },
        resource: {
          type: 'global',
          labels: {
            project_id: projectId,
          },
        },
        points: [dataPoint],
      },
    ],
  };

  // Writes time series data
  const [result] = await client.createTimeSeries(request);
  console.log('Done writing time series data.', result);
}
quickstart();

PHP

如需向 Monitoring 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

# Includes the autoloader for libraries installed with composer
require_once __DIR__ . '/vendor/autoload.php';

# Imports the Google Cloud client library
use Google\Api\Metric;
use Google\Api\MonitoredResource;
use Google\Cloud\Monitoring\V3\Client\MetricServiceClient;
use Google\Cloud\Monitoring\V3\CreateTimeSeriesRequest;
use Google\Cloud\Monitoring\V3\Point;
use Google\Cloud\Monitoring\V3\TimeInterval;
use Google\Cloud\Monitoring\V3\TimeSeries;
use Google\Cloud\Monitoring\V3\TypedValue;
use Google\Protobuf\Timestamp;

// These variables are set by the App Engine environment. To test locally,
// ensure these are set or manually change their values.
$projectId = getenv('GCLOUD_PROJECT') ?: 'YOUR_PROJECT_ID';
$instanceId = '1234567890123456789';
$zone = 'us-central1-f';

try {
    $client = new MetricServiceClient();
    $formattedProjectName = 'projects/' . $projectId;
    $labels = [
        'instance_id' => $instanceId,
        'zone' => $zone,
    ];

    $m = new Metric();
    $m->setType('custom.googleapis.com/my_metric');

    $r = new MonitoredResource();
    $r->setType('gce_instance');
    $r->setLabels($labels);

    $value = new TypedValue();
    $value->setDoubleValue(3.14);

    $timestamp = new Timestamp();
    $timestamp->setSeconds(time());

    $interval = new TimeInterval();
    $interval->setStartTime($timestamp);
    $interval->setEndTime($timestamp);

    $point = new Point();
    $point->setValue($value);
    $point->setInterval($interval);
    $points = [$point];

    $timeSeries = new TimeSeries();
    $timeSeries->setMetric($m);
    $timeSeries->setResource($r);
    $timeSeries->setPoints($points);
    $createTimeSeriesRequest = (new CreateTimeSeriesRequest())
        ->setName($formattedProjectName)
        ->setTimeSeries([$timeSeries]);

    $client->createTimeSeries($createTimeSeriesRequest);
    print('Successfully submitted a time series' . PHP_EOL);
} finally {
    $client->close();
}

Python

如需向 Monitoring 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

from google.cloud import monitoring_v3

import time

client = monitoring_v3.MetricServiceClient()
# project_id = 'my-project'  # TODO: Update to your project ID.
project_name = f"projects/{project_id}"

series = monitoring_v3.TimeSeries()
series.metric.type = "custom.googleapis.com/my_metric"
series.metric.labels["store_id"] = "Pittsburgh"
series.resource.type = "gce_instance"
series.resource.labels["instance_id"] = "1234567890123456789"
series.resource.labels["zone"] = "us-central1-f"
now = time.time()
seconds = int(now)
nanos = int((now - seconds) * 10**9)
interval = monitoring_v3.TimeInterval(
    {"end_time": {"seconds": seconds, "nanos": nanos}}
)
point = monitoring_v3.Point({"interval": interval, "value": {"double_value": 3.14}})
series.points = [point]
client.create_time_series(request={"name": project_name, "time_series": [series]})
print("Successfully wrote time series.")
return True

Ruby

如需向 Monitoring 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

# Your Google Cloud Platform project ID
# project_id = "YOUR_PROJECT_ID"

# Example metric label
# metric_label = "my-value"

# Instantiates a client
metric_service_client = Google::Cloud::Monitoring.metric_service
project_path = metric_service_client.project_path project: project_id

series = Google::Cloud::Monitoring::V3::TimeSeries.new
series.metric = Google::Api::Metric.new type:   "custom.googleapis.com/my_metric",
                                        labels: { "my_key" => metric_label }

resource = Google::Api::MonitoredResource.new type: "gce_instance"
resource.labels["project_id"] = project_id
resource.labels["instance_id"] = "1234567890123456789"
resource.labels["zone"] = "us-central1-f"
series.resource = resource

point = Google::Cloud::Monitoring::V3::Point.new
point.value = Google::Cloud::Monitoring::V3::TypedValue.new double_value: 3.14
now = Time.now
end_time = Google::Protobuf::Timestamp.new seconds: now.to_i, nanos: now.nsec
point.interval = Google::Cloud::Monitoring::V3::TimeInterval.new end_time: end_time
series.points << point

metric_service_client.create_time_series name: project_path, time_series: [series]

puts "Successfully wrote time series."

后续步骤

如需搜索和过滤其他 Google Cloud 产品的代码示例，请参阅 Google Cloud 示例浏览器。