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Add a query example for exponentially bucketed histograms #470

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Merged
nblumhardt merged 1 commit into from
Jun 9, 2026
Merged

Add a query example for exponentially bucketed histograms #470

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19 changes: 18 additions & 1 deletion src/SeqCli/Skills/Resources/working-with-seq-metrics/SKILL.md
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Original file line number Diff line number Diff line change
Expand Up @@ -96,7 +96,8 @@ HTTP request timing percentiles:
select
phist(coalesce((bucket.from + bucket.to) / 2, bucket.from, bucket.to), bucket.count, 95) as p95,
phist(coalesce((bucket.from + bucket.to) / 2, bucket.from, bucket.to), bucket.count, 99) as p99
from series lateral unnest(http.server.request.duration.buckets) as bucket
from series
lateral unnest(http.server.request.duration.buckets) as bucket
where Has(http.server.request.duration.buckets)
and @Resource.service.name = 'cart'
and @Scope.name = 'Microsoft.AspNetCore.Hosting'
Expand Down Expand Up @@ -131,6 +132,22 @@ group by time(1m)
limit 100
```

### `Exponential` Query Examples

Commit timing percentiles:

@KodrAus KodrAus Jun 9, 2026

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Could also make this HTTP request timing percentiles?

@nblumhardt nblumhardt Jun 9, 2026

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Thought it might be better not to pull things too strongly towards that scenario; guess mileage will vary 🤔


```
select
phist(bucket.midpoint, bucket.count, 95) as p95,
phist(bucket.midpoint, bucket.count, 99) as p99
from series
lateral unnest(commit_duration.buckets) as bucket
where Has(commit_duration.buckets)
and @Timestamp >= now() - 15m
group by time(1m)
limit 100
```

## Gotchas

- If metrics that should be _counters_ show up as _gauges_, aggregation temporality is likely to be misconfigured: danger! This can produce wildly inaccurate results if not detected.
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