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Add additional basic nhcb unit tests (#15086)

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* Add additional basic nhcb unit tests
* Update promql/promqltest/testdata/histograms.test

Signed-off-by: Fiona Liao <fiona.liao@grafana.com>
Signed-off-by: Fiona Liao <fiona.y.liao@gmail.com>
Co-authored-by: George Krajcsovits <krajorama@users.noreply.github.com>
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Fiona Liao 2024-10-08 13:34:32 +01:00 committed by GitHub
parent 663a66b526
commit 8650d25804
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1 changed files with 52 additions and 0 deletions
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52
promql/promqltest/testdata/histograms.test vendored
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@ -421,6 +421,25 @@ eval instant at 50m histogram_quantile(0.5, rate(request_duration_seconds_bucket
eval instant at 50m sum(request_duration_seconds)
{} {{schema:-53 count:250 custom_values:[0.1 0.2] buckets:[100 90 60]}}
eval instant at 50m sum(request_duration_seconds{job="job1",instance="ins1"} + ignoring(job,instance) request_duration_seconds{job="job1",instance="ins2"} + ignoring(job,instance) request_duration_seconds{job="job2",instance="ins1"} + ignoring(job,instance) request_duration_seconds{job="job2",instance="ins2"})
{} {{schema:-53 count:250 custom_values:[0.1 0.2] buckets:[100 90 60]}}
eval instant at 50m avg(request_duration_seconds)
{} {{schema:-53 count:62.5 custom_values:[0.1 0.2] buckets:[25 22.5 15]}}
# To verify the result above, calculate from classic histogram as well.
eval instant at 50m avg (request_duration_seconds_bucket{le="0.1"})
{} 25
eval instant at 50m avg (request_duration_seconds_bucket{le="0.2"}) - avg (request_duration_seconds_bucket{le="0.1"})
{} 22.5
eval instant at 50m avg (request_duration_seconds_bucket{le="+Inf"}) - avg (request_duration_seconds_bucket{le="0.2"})
{} 15
eval instant at 50m count(request_duration_seconds)
{} 4
# A histogram with nonmonotonic bucket counts. This may happen when recording
# rule evaluation or federation races scrape ingestion, causing some buckets
# counts to be derived from fewer samples.
@ -504,3 +523,36 @@ eval instant at 5m histogram_quantile(1.0, sum by (le) (rate(const_histogram_buc
eval instant at 5m histogram_quantile(1.0, sum(rate(const_histogram[5m])))
{} NaN
load_with_nhcb 1m
histogram_over_time_bucket{le="0"} 0 1 3 9
histogram_over_time_bucket{le="1"} 2 3 3 9
histogram_over_time_bucket{le="2"} 3 8 5 10
histogram_over_time_bucket{le="4"} 3 10 6 18
# Test custom buckets with sum_over_time, avg_over_time.
eval instant at 3m sum_over_time(histogram_over_time[4m:1m])
{} {{schema:-53 count:37 custom_values:[0 1 2 4] buckets:[13 4 9 11]}}
eval instant at 3m avg_over_time(histogram_over_time[4m:1m])
{} {{schema:-53 count:9.25 custom_values:[0 1 2 4] buckets:[3.25 1 2.25 2.75]}}
# Test custom buckets with counter reset
load_with_nhcb 5m
histogram_with_reset_bucket{le="1"} 1 3 9
histogram_with_reset_bucket{le="2"} 3 3 9
histogram_with_reset_bucket{le="4"} 8 5 12
histogram_with_reset_bucket{le="8"} 10 6 18
histogram_with_reset_sum{} 36 16 61
eval instant at 10m increase(histogram_with_reset[15m])
{} {{schema:-53 count:27 sum:91.5 custom_values:[1 2 4 8] counter_reset_hint:gauge buckets:[13.5 0 4.5 9]}}
eval instant at 10m resets(histogram_with_reset[15m])
{} 1
eval instant at 10m histogram_count(increase(histogram_with_reset[15m]))
{} 27
eval instant at 10m histogram_sum(increase(histogram_with_reset[15m]))
{} 91.5