prometheus/promql/testdata/functions.test

# 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