public void AvailableMetrics_ReturnsResults()
{
Mock <IDatabaseContext> fakeContext = new Mock <IDatabaseContext>();
fakeContext.Setup(x => x.List <Person>()).Returns(new[] { new Person
{
Id = 1,
} }.AsQueryable());
var hub = new MetricsHub(fakeContext.Object, 1);
var metrics = hub.AvailableMetrics;
Assert.IsTrue(metrics.Any());
}
/// <summary>
/// 处理监控事项
/// </summary>
/// <param name="services"></param>
void MetricsHandle(IServiceCollection services)
{
var metricsHub = new MetricsHub();
//counter
metricsHub.AddCounter("/register", Metrics.CreateCounter("business_register_user", "注册用户数。"));
metricsHub.AddCounter("/order", Metrics.CreateCounter("business_order_total", "下单总数。"));
metricsHub.AddCounter("/pay", Metrics.CreateCounter("business_pay_total", "支付总数。"));
metricsHub.AddCounter("/ship", Metrics.CreateCounter("business_ship_total", "发货总数。"));
//gauge
var orderGauge = Metrics.CreateGauge("business_order_count", "当前下单数量。");
var payGauge = Metrics.CreateGauge("business_pay_count", "当前支付数量。");
var shipGauge = Metrics.CreateGauge("business_ship_count", "当前发货数据。");
metricsHub.AddGauge("/order", new Dictionary <string, Gauge> {
{ "+", orderGauge }
});
metricsHub.AddGauge("/pay", new Dictionary <string, Gauge> {
{ "-", orderGauge },
{ "+", payGauge }
});
metricsHub.AddGauge("/ship", new Dictionary <string, Gauge> {
{ "+", shipGauge },
{ "-", payGauge }
});
//summary 百分位数[在一组由小到大的数字中，某个数字大于80%的数字，这个数字就第80个的百分位数]
/*0.5-quantile后面是0.05，0.9-quantile后面是0.01，而0.95后面是0.005，而0.99后面是0.001。这些是我们设置的能容忍的误差。0.5-quantile: 0.05意思是允许最后的误差不超过0.05。假设某个0.5-quantile的值为120，由于设置的误差为0.05，所以120代表的真实quantile是(0.45, 0.55)范围内的某个值。
*/
var orderSummary = Metrics
.CreateSummary("business_order_summary", "10分钟内的订单数量",
new SummaryConfiguration
{
Objectives = new[]
{
new QuantileEpsilonPair(0.1, 0.05),
new QuantileEpsilonPair(0.3, 0.05),
new QuantileEpsilonPair(0.5, 0.05),
new QuantileEpsilonPair(0.7, 0.05),
new QuantileEpsilonPair(0.9, 0.05),
}
});
metricsHub.AddSummary("/order", orderSummary);
//histogram
/*
* grafana中 histogram_quantile(0.95, rate(business_order_histogram_seconds_bucket[5h]))
* 95%的订单金额小于等于这个值
*/
var orderHistogram = Metrics.CreateHistogram("business_order_histogram", "订单直方图。",
new HistogramConfiguration
{
//Buckets = Histogram.ExponentialBuckets(start: 1000, factor: 2, count: 5)
Buckets = Histogram.LinearBuckets(start: 1000, width: 1000, count: 6)
});
metricsHub.AddHistogram("/order", orderHistogram);
services.AddSingleton(metricsHub);
}