自定义EventSource(一)EventCounter

之前的Counters都是系统内置的,我们只需在进程外,或进程内采集,然后交给专门的展示指标工具即可。本篇说一下自定义EventSource,来采集自己业务中,或自己产品中的指标收集方式。

自定义EventSource是以EventCounters作为核心,EventCounters的作用是实时自动定期推送指标到侦听器的。

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EventCounter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EventCounterDemo。

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 EventCounter _workingCounter;

    private WorkingEventSource()
    {
        _workingCounter = new EventCounter("working-time", this)
        {
            DisplayName = "Working Time",
            DisplayUnits = "ms"
        };
    }     
    /// <summary>
    /// Working发送业务指标
    /// </summary>
    /// <param name="elapsedMilliseconds"></param>
    public void Working(long elapsedMilliseconds)
    {
        _workingCounter?.WriteMetric(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EventCounterDemo

public class EventCounterDemo
{
    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;
        }
    }
}

调用方法:


    class Program
    {
        static void Main()
        {
            EventCounterDemo.Run();
            Console.Read();
        }
    }

运行结果如下,可以看到,每少发送两次指标,而采集的结果是取其平均值展示了出来。

下图是跟踪EventListener的OnEventWritten的Payload有效载荷时的数据,可以看到有最大最小值,时间间隔,间隔里的次数,平均值,和当前指标类型为Mean等信息,这是EventCounter指标器的类型原因。

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2022-7-22 19:10:36

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自定义EventSource(二)PollingCounter

2022-7-25 11:30:46

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