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docs/ExtendedPromQL.md: add a link to https://medium.com/@valyala/improving-histogram-usability-for-prometheus-and-grafana-bc7e5df0e350 for histogram func

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Aliaksandr Valialkin 2019-12-08 13:48:33 +02:00
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@ -60,7 +60,7 @@ Try these extensions on [an editable Grafana dashboard](http://play-grafana.vict
- `rand()`, `rand_normal()` and `rand_exponential()` functions - for generating pseudo-random series with even, normal and exponential distribution.
- `increases_over_time(m[d])` and `decreases_over_time(m[d])` - returns the number of `m` increases or decreases over the given duration `d`.
- `prometheus_buckets(q)` - converts [VictoriaMetrics histogram](https://godoc.org/github.com/VictoriaMetrics/metrics#Histogram) buckets to Prometheus buckets with `le` labels.
- `histogram(q)` - calculates aggregate histogram over `q` time series for each point on the graph.
- `histogram(q)` - calculates aggregate histogram over `q` time series for each point on the graph. See [this article](https://medium.com/@valyala/improving-histogram-usability-for-prometheus-and-grafana-bc7e5df0e350) for more details.
- `topk_*` and `bottomk_*` aggregate functions, which return up to K time series. Note that the standard `topk` function may return more than K time series -
see [this article](https://www.robustperception.io/graph-top-n-time-series-in-grafana) for details.
- `topk_min(k, q)` - returns top K time series with the max minimums on the given time range