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Posted to dev@pegasus.apache.org by GitBox <gi...@apache.org> on 2022/06/01 12:05:14 UTC
[GitHub] [incubator-pegasus] empiredan opened a new issue, #991: Feature(new_metrics): implement the percentile
empiredan opened a new issue, #991:
URL: https://github.com/apache/incubator-pegasus/issues/991
The percentile is a metric type that samples observations as is described in https://github.com/apache/incubator-pegasus/issues/922. The size of samples has an upper bound. Once the maximum size is reached, the earliest observations will be overwritten.
On the other hand, `kth` percentiles, such as P50, P90, P95, P99, P999, will be calculated periodically over all samples. The `kth` percentiles which are calculated are configurable provided that they are of valid `kth_percentile_type` (i.e. in `kAllKthPercentileTypes`).
The most common usage of percentile is latency, such as server-level and replica-level latencies. For example, if P99 latency is 10 ms, it means the latencies of 99% requests are less than 10 ms.
The percentile is implemented by the finder for nth elements. Each `kth` percentile is firstly converted to nth index; then, find the element corresponding to the nth index.
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[GitHub] [incubator-pegasus] empiredan closed issue #991: Feature(new_metrics): implement the percentile
Posted by GitBox <gi...@apache.org>.
empiredan closed issue #991: Feature(new_metrics): implement the percentile
URL: https://github.com/apache/incubator-pegasus/issues/991
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