public static RequestStat aggregate(List <RequestInfo> requestInfos, long durationInMillis)
{
double maxRespTime = Double.MinValue;
double minRespTime = Double.MaxValue;
double avgRespTime = -1;
double p999RespTime = -1;
double p99RespTime = -1;
double sumRespTime = 0;
long count = 0;
foreach (RequestInfo requestInfo in requestInfos)
{
++count;
double respTime = requestInfo.responseTime;
if (maxRespTime < respTime)
{
maxRespTime = respTime;
}
if (minRespTime > respTime)
{
minRespTime = respTime;
}
sumRespTime += respTime;
}
if (count != 0)
{
avgRespTime = sumRespTime / count;
}
long tps = (long)(count / durationInMillis * 1000);
// 在Lambda表达式中使用Comparison<T>进行排序
requestInfos.Sort((x, y) => x.responseTime.CompareTo(y.responseTime));
// 等价于
//requestInfos.Sort(delegate (RequestInfo o1, RequestInfo o2)
//{
// return o1.responseTime.CompareTo(o2.responseTime);
//});
int idx999 = (int)(count * 0.999);
int idx99 = (int)(count * 0.99);
if (count != 0)
{
// 请求时间List 按照请求时间排序后的（总请求次数*0.999）的index 对应的 List(index) 的时间值
p999RespTime = requestInfos[idx999].responseTime;
p99RespTime = requestInfos[idx99].responseTime;
}
RequestStat requestStat = new RequestStat
{
maxResponseTime = maxRespTime,
minResponseTime = minRespTime,
avgResponseTime = avgRespTime,
p999ResponseTime = p999RespTime,
p99ResponseTime = p99RespTime,
count = count,
tps = tps
};
return(requestStat);
}
public void TimerCallback(object o)
{
// 第1个代码逻辑：根据给定的时间区间，从数据库中拉取数据；
long durationInMillis = 1 * 1000;
long endTimeInMillis = DateTime.Now.Millisecond;
long startTimeInMillis = endTimeInMillis - durationInMillis;
Dictionary <string, List <RequestInfo> > requestInfos =
metricsStorage.getRequestInfos(startTimeInMillis, endTimeInMillis);
Dictionary <string, RequestStat> stats = new Dictionary <string, RequestStat>();
foreach (var entry in requestInfos)
{
string apiName = entry.Key;
List <RequestInfo> requestInfosPerApi = entry.Value;
// 第2个代码逻辑：根据原始数据，计算得到统计数据；
RequestStat requestStat = Aggregator.aggregate(requestInfosPerApi, durationInMillis);
stats.Add(apiName, requestStat);
}
// 第3个代码逻辑：将统计数据显示到终端（命令行或邮件）；
Console.WriteLine("Time Span: [" + startTimeInMillis + ", " + endTimeInMillis + "]");
}
