自定义EventSource(二)PollingCounter
在自定义EventSource时,可以使用四种EventCounter:
-
EventCounter:统计指标收集器,比如平均值,最大值,最小值
-
PollingCounter:自定义统计指标收集器,通过自定义统计方法的方式实现对指标的统计
-
IncrementingEventCounter:累加指标收集器,采集一定时间段内的指标汇总
-
IncrementingPollingCounter:自定义累加指标收集器,通过自定义累函数,实现指标收集
本例先说一下用PollingCounter实现自定义EventSource。
本例是定义了一个WorkingEventSouce事件源,定义了WorkingEventListener监听器,和发送指标采集指标的类型PollingCounterDemo。
WorkingEventSouce事件源
/// <summary>
/// Working业务事件源
/// </summary>
[EventSource(Name = "WorkingEventSource")]
public sealed class WorkingEventSource : EventSource
{
public static readonly WorkingEventSource Instance = new WorkingEventSource();
private PollingCounter _workingCounter;
//间隔内总时间
private double _elapsedMilliseconds = 0;
//间隔内次数
private int _times = 0;
/// <summary>
/// working-time 是dotnet-counters --counters的参数
/// </summary>
private WorkingEventSource() =>
_workingCounter = new PollingCounter("working-time", this, MetricProvider)
{
DisplayName = "Working Time",
DisplayUnits = "ms"
};
/// <summary>
/// 自定义函数,来计算指标,本例模拟EventCounter的计算方式
/// </summary>
/// <returns></returns>
double MetricProvider()
{
var value = _elapsedMilliseconds / _times;
_elapsedMilliseconds = 0;
_times = 0;
return value;
}
/// <summary>
/// Working发送业务指标
/// </summary>
/// <param name="elapsedMilliseconds"></param>
public void Working(long elapsedMilliseconds)
{
_times++;
_elapsedMilliseconds += elapsedMilliseconds;
}
protected override void Dispose(bool disposing)
{
_workingCounter?.Dispose();
_workingCounter = null;
base.Dispose(disposing);
}
}
WorkingEventListener监听器
/// <summary>
/// 指标输出委托
/// </summary>
/// <param name="key"></param>
/// <param name="value"></param>
public delegate void WriteContent(string key, string value);
/// <summary>
/// 指标监听器
/// </summary>
public class WorkingEventListener : EventListener
{
protected readonly string[] _countersName = new string[] { "WorkingEventSource" };
public event WriteContent WriteEvent;
protected override void OnEventSourceCreated(EventSource source)
{
if (_countersName.Contains(source.Name))
{
EnableEvents(source, EventLevel.Verbose, EventKeywords.All, new Dictionary<string, string>()
{
["EventCounterIntervalSec"] = "1"
});
}
}
protected override void OnEventWritten(EventWrittenEventArgs eventData)
{
if (eventData.EventName.Equals("EventCounters"))
{
for (int i = 0; i < eventData.Payload.Count; ++i)
{
if (eventData.Payload[i] is IDictionary<string, object> eventPayload)
{
var counterName = "";
var counterValue = "";
if (eventPayload.TryGetValue("DisplayName", out object displayValue))
{
counterName = displayValue.ToString();
}
if (eventPayload.TryGetValue("Mean", out object value) ||
eventPayload.TryGetValue("Increment", out value))
{
counterValue = value.ToString();
}
WriteEvent(counterName, counterValue);
}
}
}
}
}
发送指标采集指标的类型PollingCounterDemo
public class PollingCounterDemo
{
public static void Run()
{
var listener = new WorkingEventListener();
listener.WriteEvent += Listener_WriteEvent;
new Thread(Working).Start();
}
//以控制台方式展示采集到的指标
private static void Listener_WriteEvent(string key, string value)
{
Console.WriteLine($"{key}:{value}");
}
/// <summary>
/// 模拟写业务指标,每秒写两次,i递增
/// </summary>
static void Working()
{
int i = 0;
while (true)
{
var count = i;
Console.WriteLine(count);
WorkingEventSource.Instance.Working(count);
System.Threading.Thread.Sleep(500);
i += 1;
}
}
}
运行结果如下,当然这个值是MetricProvider计算出来的,可以按自己收集指标的算法,算每次采集到的值并返回
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