prometheus/prom/promql/testdata/functions.test

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# Testdata for resets() and changes().
load 5m
http_requests{path="/foo"} 1 2 3 0 1 0 0 1 2 0
http_requests{path="/bar"} 1 2 3 4 5 1 2 3 4 5
http_requests{path="/biz"} 0 0 0 0 0 1 1 1 1 1
# Tests for resets().
eval instant at 50m resets(http_requests[5m])
{path="/foo"} 0
{path="/bar"} 0
{path="/biz"} 0
eval instant at 50m resets(http_requests[20m])
{path="/foo"} 1
{path="/bar"} 0
{path="/biz"} 0
eval instant at 50m resets(http_requests[30m])
{path="/foo"} 2
{path="/bar"} 1
{path="/biz"} 0
eval instant at 50m resets(http_requests[50m])
{path="/foo"} 3
{path="/bar"} 1
{path="/biz"} 0
eval instant at 50m resets(nonexistent_metric[50m])
# Tests for changes().
eval instant at 50m changes(http_requests[5m])
{path="/foo"} 0
{path="/bar"} 0
{path="/biz"} 0
eval instant at 50m changes(http_requests[20m])
{path="/foo"} 3
{path="/bar"} 3
{path="/biz"} 0
eval instant at 50m changes(http_requests[30m])
{path="/foo"} 4
{path="/bar"} 5
{path="/biz"} 1
eval instant at 50m changes(http_requests[50m])
{path="/foo"} 8
{path="/bar"} 9
{path="/biz"} 1
eval instant at 50m changes(nonexistent_metric[50m])
clear
# Tests for increase().
load 5m
http_requests{path="/foo"} 0+10x10
http_requests{path="/bar"} 0+10x5 0+10x5
# Tests for increase().
eval instant at 50m increase(http_requests[50m])
{path="/foo"} 100
{path="/bar"} 90
clear
# Tests for deriv() and predict_linear().
load 5m
testcounter_reset_middle 0+10x4 0+10x5
http_requests{job="app-server", instance="1", group="canary"} 0+80x10
# Deriv should return the same as rate in simple cases.
eval instant at 50m rate(http_requests{group="canary", instance="1", job="app-server"}[60m])
{group="canary", instance="1", job="app-server"} 0.26666666666666666
eval instant at 50m deriv(http_requests{group="canary", instance="1", job="app-server"}[60m])
{group="canary", instance="1", job="app-server"} 0.26666666666666666
# Deriv should return correct result.
eval instant at 50m deriv(testcounter_reset_middle[100m])
{} 0.010606060606060607
# Predict_linear should return correct result.
eval instant at 50m predict_linear(testcounter_reset_middle[100m], 3600)
{} 88.181818181818185200
# Predict_linear is syntactic sugar around deriv.
eval instant at 50m predict_linear(http_requests[50m], 3600) - (http_requests + deriv(http_requests[50m]) * 3600)
{group="canary", instance="1", job="app-server"} 0
eval instant at 50m predict_linear(testcounter_reset_middle[100m], 3600) - (testcounter_reset_middle + deriv(testcounter_reset_middle[100m]) * 3600)
{} 0