问题描述
我正在看这篇文章
# TYPE prometheus_http_request_duration_seconds histogram
prometheus_http_request_duration_seconds_bucket{handler="/",le="0.1"} 25547
prometheus_http_request_duration_seconds_bucket{handler="/",le="0.2"} 26688
prometheus_http_request_duration_seconds_bucket{handler="/",le="0.4"} 27760
prometheus_http_request_duration_seconds_bucket{handler="/",le="1"} 28641
prometheus_http_request_duration_seconds_bucket{handler="/",le="3"} 28782
我不明白为什么
histogram_quantile(0.9,
rate(prometheus_http_request_duration_seconds_bucket[5m])
)
不以observe event/second为单位给出速率的分位数，而是以second/observe event为单位给出请求持续时间的分位数
doesn't give you the quantile of rate with unit observe event / second but instead give the quantile of request duration with unit second / observe event
rate(prometheus_http_request_duration_seconds_bucket[5m]
应该给你特定桶/秒内观察事件的次数平均超过5分钟
should give you number of observe event in certain bucket / second average over 5 minute
我想histogram_quantile 会给你分位数
我一定是理解错了
推荐答案
这个 和他是 prometheus 中 historgram_quantile 的代码.
This and here is the code for the historgram_quantile in prometheus.
举个例子
assumed the original bucket is :
[50][100][150][200][200] with corresponding upperbound 5s,10s,15s,20s,+Inf.
then the rate(xx[5m]) returned a bucket like this:
[20/5*60][40/5*60][60/5*60][80/5*60][80/5*60]
histogram_quantile will delegate the returned bucket to another function bucketQuantile.
It used the rough following logic to compute the percentile:
1) get the total rank of the percentile
such as 90ile is 0.9 * total counts = 0.9 * (80/5*60)
2) compute the value of 90ile
last upperbound before the total rank position is 15 secs;
current upperbound of the total rank is 20 secs;
the count in the bucket that 90ile position belongs is (80/5*60)-(60/5*60);
the internal rank in that single bucket of 90ile position is (0.9 * 80/5*60)-(60/5*60);
finally, the value of 90ile is: 15 sec + (internal rank / that bucket count) * (20sec-15sec) = 15 + 3 * ( (0.9 * 80/5*60)-(60/5*60) / (80/5*60)-(60/5*60) ) =
15 + 3 * ( (0.9*80 - 60)/(80-60) ) = 15 + 3 * ( 12/20) = 15+3*0.6= 16.8 sec
就是这样，你可以看到分母 5*60 在计算中实际上没有影响.所以 rate() 函数只是用来指定时间窗口 5 分钟.
That's it, you can see the denominator 5*60 is actually no effect in the computation. so the rate() func is just lent to specify the time window 5 minutes.
这篇关于如何获得普罗米修斯中速率的分位数的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！