// Copyright 2013 The Prometheus Authors // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. package rules import ( "fmt" "math" "path" "regexp" "strconv" "strings" "testing" "time" clientmodel "github.com/prometheus/client_golang/model" "github.com/prometheus/prometheus/rules/ast" "github.com/prometheus/prometheus/stats" "github.com/prometheus/prometheus/storage/local" "github.com/prometheus/prometheus/storage/metric" "github.com/prometheus/prometheus/utility/test" ) var ( testEvalTime = testStartTime.Add(testSampleInterval * 10) fixturesPath = "fixtures" reSample = regexp.MustCompile(`^(.*)( \=\>|:) (\-?\d+\.?\d*e?\d*|[+-]Inf|NaN) \@\[(\d+)\]$`) minNormal = math.Float64frombits(0x0010000000000000) // The smallest positive normal value of type float64. ) const ( epsilon = 0.000001 // Relative error allowed for sample values. ) func annotateWithTime(lines []string, timestamp clientmodel.Timestamp) []string { annotatedLines := []string{} for _, line := range lines { annotatedLines = append(annotatedLines, fmt.Sprintf(line, timestamp)) } return annotatedLines } func vectorComparisonString(expected []string, actual []string) string { separator := "\n--------------\n" return fmt.Sprintf("Expected:%v%v%v\nActual:%v%v%v ", separator, strings.Join(expected, "\n"), separator, separator, strings.Join(actual, "\n"), separator) } // samplesAlmostEqual returns true if the two sample lines only differ by a // small relative error in their sample value. func samplesAlmostEqual(a, b string) bool { if a == b { // Fast path if strings are equal. return true } aMatches := reSample.FindStringSubmatch(a) if aMatches == nil { panic(fmt.Errorf("sample %q did not match regular expression", a)) } bMatches := reSample.FindStringSubmatch(b) if bMatches == nil { panic(fmt.Errorf("sample %q did not match regular expression", b)) } if aMatches[1] != bMatches[1] { return false // Labels don't match. } if aMatches[4] != bMatches[4] { return false // Timestamps don't match. } // If we are here, we have the diff in the floats. // We have to check if they are almost equal. aVal, err := strconv.ParseFloat(aMatches[3], 64) if err != nil { panic(err) } bVal, err := strconv.ParseFloat(bMatches[3], 64) if err != nil { panic(err) } // Cf. http://floating-point-gui.de/errors/comparison/ if aVal == bVal { return true } diff := math.Abs(aVal - bVal) if aVal == 0 || bVal == 0 || diff < minNormal { return diff < epsilon*minNormal } return diff/(math.Abs(aVal)+math.Abs(bVal)) < epsilon } func newTestStorage(t testing.TB) (storage local.Storage, closer test.Closer) { storage, closer = local.NewTestStorage(t) storeMatrix(storage, testMatrix) return storage, closer } func TestExpressions(t *testing.T) { // Labels in expected output need to be alphabetically sorted. expressionTests := []struct { expr string output []string shouldFail bool checkOrder bool }{ { expr: `SUM(http_requests)`, output: []string{`{} => 3600 @[%v]`}, }, { expr: `SUM(http_requests{instance="0"}) BY(job)`, output: []string{ `{job="api-server"} => 400 @[%v]`, `{job="app-server"} => 1200 @[%v]`, }, }, { expr: `SUM(http_requests{instance="0"}) BY(job) KEEPING_EXTRA`, output: []string{ `{instance="0", job="api-server"} => 400 @[%v]`, `{instance="0", job="app-server"} => 1200 @[%v]`, }, }, { expr: `SUM(http_requests) BY (job)`, output: []string{ `{job="api-server"} => 1000 @[%v]`, `{job="app-server"} => 2600 @[%v]`, }, }, { // Non-existent labels mentioned in BY-clauses shouldn't propagate to output. expr: `SUM(http_requests) BY (job, nonexistent)`, output: []string{ `{job="api-server"} => 1000 @[%v]`, `{job="app-server"} => 2600 @[%v]`, }, }, { expr: ` // Test comment. SUM(http_requests) BY /* comments shouldn't have any effect */ (job) // another comment`, output: []string{ `{job="api-server"} => 1000 @[%v]`, `{job="app-server"} => 2600 @[%v]`, }, }, { expr: `COUNT(http_requests) BY (job)`, output: []string{ `{job="api-server"} => 4 @[%v]`, `{job="app-server"} => 4 @[%v]`, }, }, { expr: `SUM(http_requests) BY (job, group)`, output: []string{ `{group="canary", job="api-server"} => 700 @[%v]`, `{group="canary", job="app-server"} => 1500 @[%v]`, `{group="production", job="api-server"} => 300 @[%v]`, `{group="production", job="app-server"} => 1100 @[%v]`, }, }, { expr: `AVG(http_requests) BY (job)`, output: []string{ `{job="api-server"} => 250 @[%v]`, `{job="app-server"} => 650 @[%v]`, }, }, { expr: `MIN(http_requests) BY (job)`, output: []string{ `{job="api-server"} => 100 @[%v]`, `{job="app-server"} => 500 @[%v]`, }, }, { expr: `MAX(http_requests) BY (job)`, output: []string{ `{job="api-server"} => 400 @[%v]`, `{job="app-server"} => 800 @[%v]`, }, }, { expr: `SUM(http_requests) BY (job) - COUNT(http_requests) BY (job)`, output: []string{ `{job="api-server"} => 996 @[%v]`, `{job="app-server"} => 2596 @[%v]`, }, }, { expr: `2 - SUM(http_requests) BY (job)`, output: []string{ `{job="api-server"} => -998 @[%v]`, `{job="app-server"} => -2598 @[%v]`, }, }, { expr: `1000 / SUM(http_requests) BY (job)`, output: []string{ `{job="api-server"} => 1 @[%v]`, `{job="app-server"} => 0.38461538461538464 @[%v]`, }, }, { expr: `SUM(http_requests) BY (job) - 2`, output: []string{ `{job="api-server"} => 998 @[%v]`, `{job="app-server"} => 2598 @[%v]`, }, }, { expr: `SUM(http_requests) BY (job) % 3`, output: []string{ `{job="api-server"} => 1 @[%v]`, `{job="app-server"} => 2 @[%v]`, }, }, { expr: `SUM(http_requests) BY (job) / 0`, output: []string{ `{job="api-server"} => +Inf @[%v]`, `{job="app-server"} => +Inf @[%v]`, }, }, { expr: `SUM(http_requests) BY (job) > 1000`, output: []string{ `{job="app-server"} => 2600 @[%v]`, }, }, { expr: `1000 < SUM(http_requests) BY (job)`, output: []string{ `{job="app-server"} => 1000 @[%v]`, }, }, { expr: `SUM(http_requests) BY (job) <= 1000`, output: []string{ `{job="api-server"} => 1000 @[%v]`, }, }, { expr: `SUM(http_requests) BY (job) != 1000`, output: []string{ `{job="app-server"} => 2600 @[%v]`, }, }, { expr: `SUM(http_requests) BY (job) == 1000`, output: []string{ `{job="api-server"} => 1000 @[%v]`, }, }, { expr: `SUM(http_requests) BY (job) + SUM(http_requests) BY (job)`, output: []string{ `{job="api-server"} => 2000 @[%v]`, `{job="app-server"} => 5200 @[%v]`, }, }, { expr: `http_requests{job="api-server", group="canary"}`, output: []string{ `http_requests{group="canary", instance="0", job="api-server"} => 300 @[%v]`, `http_requests{group="canary", instance="1", job="api-server"} => 400 @[%v]`, }, }, { expr: `http_requests{job="api-server", group="canary"} + rate(http_requests{job="api-server"}[5m]) * 5 * 60`, output: []string{ `{group="canary", instance="0", job="api-server"} => 330 @[%v]`, `{group="canary", instance="1", job="api-server"} => 440 @[%v]`, }, }, { expr: `rate(http_requests[25m]) * 25 * 60`, output: []string{ `{group="canary", instance="0", job="api-server"} => 150 @[%v]`, `{group="canary", instance="0", job="app-server"} => 350 @[%v]`, `{group="canary", instance="1", job="api-server"} => 200 @[%v]`, `{group="canary", instance="1", job="app-server"} => 400 @[%v]`, `{group="production", instance="0", job="api-server"} => 50 @[%v]`, `{group="production", instance="0", job="app-server"} => 249.99999999999997 @[%v]`, `{group="production", instance="1", job="api-server"} => 100 @[%v]`, `{group="production", instance="1", job="app-server"} => 300 @[%v]`, }, }, { expr: `delta(http_requests[25m], 1)`, output: []string{ `{group="canary", instance="0", job="api-server"} => 150 @[%v]`, `{group="canary", instance="0", job="app-server"} => 350 @[%v]`, `{group="canary", instance="1", job="api-server"} => 200 @[%v]`, `{group="canary", instance="1", job="app-server"} => 400 @[%v]`, `{group="production", instance="0", job="api-server"} => 50 @[%v]`, `{group="production", instance="0", job="app-server"} => 250 @[%v]`, `{group="production", instance="1", job="api-server"} => 100 @[%v]`, `{group="production", instance="1", job="app-server"} => 300 @[%v]`, }, }, { expr: `sort(http_requests)`, output: []string{ `http_requests{group="production", instance="0", job="api-server"} => 100 @[%v]`, `http_requests{group="production", instance="1", job="api-server"} => 200 @[%v]`, `http_requests{group="canary", instance="0", job="api-server"} => 300 @[%v]`, `http_requests{group="canary", instance="1", job="api-server"} => 400 @[%v]`, `http_requests{group="production", instance="0", job="app-server"} => 500 @[%v]`, `http_requests{group="production", instance="1", job="app-server"} => 600 @[%v]`, `http_requests{group="canary", instance="0", job="app-server"} => 700 @[%v]`, `http_requests{group="canary", instance="1", job="app-server"} => 800 @[%v]`, }, checkOrder: true, }, { expr: `sort_desc(http_requests)`, output: []string{ `http_requests{group="canary", instance="1", job="app-server"} => 800 @[%v]`, `http_requests{group="canary", instance="0", job="app-server"} => 700 @[%v]`, `http_requests{group="production", instance="1", job="app-server"} => 600 @[%v]`, `http_requests{group="production", instance="0", job="app-server"} => 500 @[%v]`, `http_requests{group="canary", instance="1", job="api-server"} => 400 @[%v]`, `http_requests{group="canary", instance="0", job="api-server"} => 300 @[%v]`, `http_requests{group="production", instance="1", job="api-server"} => 200 @[%v]`, `http_requests{group="production", instance="0", job="api-server"} => 100 @[%v]`, }, checkOrder: true, }, { expr: `topk(3, http_requests)`, output: []string{ `http_requests{group="canary", instance="1", job="app-server"} => 800 @[%v]`, `http_requests{group="canary", instance="0", job="app-server"} => 700 @[%v]`, `http_requests{group="production", instance="1", job="app-server"} => 600 @[%v]`, }, checkOrder: true, }, { expr: `topk(5, http_requests{group="canary",job="app-server"})`, output: []string{ `http_requests{group="canary", instance="1", job="app-server"} => 800 @[%v]`, `http_requests{group="canary", instance="0", job="app-server"} => 700 @[%v]`, }, checkOrder: true, }, { expr: `bottomk(3, http_requests)`, output: []string{ `http_requests{group="production", instance="0", job="api-server"} => 100 @[%v]`, `http_requests{group="production", instance="1", job="api-server"} => 200 @[%v]`, `http_requests{group="canary", instance="0", job="api-server"} => 300 @[%v]`, }, checkOrder: true, }, { expr: `bottomk(5, http_requests{group="canary",job="app-server"})`, output: []string{ `http_requests{group="canary", instance="0", job="app-server"} => 700 @[%v]`, `http_requests{group="canary", instance="1", job="app-server"} => 800 @[%v]`, }, checkOrder: true, }, { // Single-letter label names and values. expr: `x{y="testvalue"}`, output: []string{ `x{y="testvalue"} => 100 @[%v]`, }, }, { // Lower-cased aggregation operators should work too. expr: `sum(http_requests) by (job) + min(http_requests) by (job) + max(http_requests) by (job) + avg(http_requests) by (job)`, output: []string{ `{job="app-server"} => 4550 @[%v]`, `{job="api-server"} => 1750 @[%v]`, }, }, { // Deltas should be adjusted for target interval vs. samples under target interval. expr: `delta(http_requests{group="canary", instance="1", job="app-server"}[18m])`, output: []string{`{group="canary", instance="1", job="app-server"} => 288 @[%v]`}, }, { // Deltas should perform the same operation when 2nd argument is 0. expr: `delta(http_requests{group="canary", instance="1", job="app-server"}[18m], 0)`, output: []string{`{group="canary", instance="1", job="app-server"} => 288 @[%v]`}, }, { // Rates should calculate per-second rates. expr: `rate(http_requests{group="canary", instance="1", job="app-server"}[60m])`, output: []string{`{group="canary", instance="1", job="app-server"} => 0.26666666666666666 @[%v]`}, }, { // Deriv should return the same as rate in simple cases. expr: `deriv(http_requests{group="canary", instance="1", job="app-server"}[60m])`, output: []string{`{group="canary", instance="1", job="app-server"} => 0.26666666666666666 @[%v]`}, }, { // Counter resets at in the middle of range are handled correctly by rate(). expr: `rate(testcounter_reset_middle[60m])`, output: []string{`{} => 0.03 @[%v]`}, }, { // Counter resets at end of range are ignored by rate(). expr: `rate(testcounter_reset_end[5m])`, output: []string{`{} => 0 @[%v]`}, }, { // Deriv should return correct result. expr: `deriv(testcounter_reset_middle[100m])`, output: []string{`{} => 0.010606060606060607 @[%v]`}, }, { // count_scalar for a non-empty vector should return scalar element count. expr: `count_scalar(http_requests)`, output: []string{`scalar: 8 @[%v]`}, }, { // count_scalar for an empty vector should return scalar 0. expr: `count_scalar(nonexistent)`, output: []string{`scalar: 0 @[%v]`}, }, { // Empty expressions shouldn't parse. expr: ``, shouldFail: true, }, { // Interval durations can't be in quotes. expr: `http_requests["1m"]`, shouldFail: true, }, { // Binop arguments need to be scalar or vector. expr: `http_requests - http_requests[1m]`, shouldFail: true, }, { expr: `http_requests{group!="canary"}`, output: []string{ `http_requests{group="production", instance="1", job="app-server"} => 600 @[%v]`, `http_requests{group="production", instance="0", job="app-server"} => 500 @[%v]`, `http_requests{group="production", instance="1", job="api-server"} => 200 @[%v]`, `http_requests{group="production", instance="0", job="api-server"} => 100 @[%v]`, }, }, { expr: `http_requests{job=~"server",group!="canary"}`, output: []string{ `http_requests{group="production", instance="1", job="app-server"} => 600 @[%v]`, `http_requests{group="production", instance="0", job="app-server"} => 500 @[%v]`, `http_requests{group="production", instance="1", job="api-server"} => 200 @[%v]`, `http_requests{group="production", instance="0", job="api-server"} => 100 @[%v]`, }, }, { expr: `http_requests{job!~"api",group!="canary"}`, output: []string{ `http_requests{group="production", instance="1", job="app-server"} => 600 @[%v]`, `http_requests{group="production", instance="0", job="app-server"} => 500 @[%v]`, }, }, { expr: `count_scalar(http_requests{job=~"^server$"})`, output: []string{`scalar: 0 @[%v]`}, }, { expr: `http_requests{group="production",job=~"^api"}`, output: []string{ `http_requests{group="production", instance="0", job="api-server"} => 100 @[%v]`, `http_requests{group="production", instance="1", job="api-server"} => 200 @[%v]`, }, }, { expr: `abs(-1 * http_requests{group="production",job="api-server"})`, output: []string{ `{group="production", instance="0", job="api-server"} => 100 @[%v]`, `{group="production", instance="1", job="api-server"} => 200 @[%v]`, }, }, { expr: `floor(0.004 * http_requests{group="production",job="api-server"})`, output: []string{ `{group="production", instance="0", job="api-server"} => 0 @[%v]`, `{group="production", instance="1", job="api-server"} => 0 @[%v]`, }, }, { expr: `ceil(0.004 * http_requests{group="production",job="api-server"})`, output: []string{ `{group="production", instance="0", job="api-server"} => 1 @[%v]`, `{group="production", instance="1", job="api-server"} => 1 @[%v]`, }, }, { expr: `round(0.004 * http_requests{group="production",job="api-server"})`, output: []string{ `{group="production", instance="0", job="api-server"} => 0 @[%v]`, `{group="production", instance="1", job="api-server"} => 1 @[%v]`, }, }, { // Round should correctly handle negative numbers. expr: `round(-1 * (0.004 * http_requests{group="production",job="api-server"}))`, output: []string{ `{group="production", instance="0", job="api-server"} => 0 @[%v]`, `{group="production", instance="1", job="api-server"} => -1 @[%v]`, }, }, { // Round should round half up. expr: `round(0.005 * http_requests{group="production",job="api-server"})`, output: []string{ `{group="production", instance="0", job="api-server"} => 1 @[%v]`, `{group="production", instance="1", job="api-server"} => 1 @[%v]`, }, }, { expr: `round(-1 * (0.005 * http_requests{group="production",job="api-server"}))`, output: []string{ `{group="production", instance="0", job="api-server"} => 0 @[%v]`, `{group="production", instance="1", job="api-server"} => -1 @[%v]`, }, }, { expr: `round(1 + 0.005 * http_requests{group="production",job="api-server"})`, output: []string{ `{group="production", instance="0", job="api-server"} => 2 @[%v]`, `{group="production", instance="1", job="api-server"} => 2 @[%v]`, }, }, { expr: `round(-1 * (1 + 0.005 * http_requests{group="production",job="api-server"}))`, output: []string{ `{group="production", instance="0", job="api-server"} => -1 @[%v]`, `{group="production", instance="1", job="api-server"} => -2 @[%v]`, }, }, { // Round should accept the number to round nearest to. expr: `round(0.0005 * http_requests{group="production",job="api-server"}, 0.1)`, output: []string{ `{group="production", instance="0", job="api-server"} => 0.1 @[%v]`, `{group="production", instance="1", job="api-server"} => 0.1 @[%v]`, }, }, { expr: `round(2.1 + 0.0005 * http_requests{group="production",job="api-server"}, 0.1)`, output: []string{ `{group="production", instance="0", job="api-server"} => 2.2 @[%v]`, `{group="production", instance="1", job="api-server"} => 2.2 @[%v]`, }, }, { expr: `round(5.2 + 0.0005 * http_requests{group="production",job="api-server"}, 0.1)`, output: []string{ `{group="production", instance="0", job="api-server"} => 5.3 @[%v]`, `{group="production", instance="1", job="api-server"} => 5.3 @[%v]`, }, }, { // Round should work correctly with negative numbers and multiple decimal places. expr: `round(-1 * (5.2 + 0.0005 * http_requests{group="production",job="api-server"}), 0.1)`, output: []string{ `{group="production", instance="0", job="api-server"} => -5.2 @[%v]`, `{group="production", instance="1", job="api-server"} => -5.3 @[%v]`, }, }, { // Round should work correctly with big toNearests. expr: `round(0.025 * http_requests{group="production",job="api-server"}, 5)`, output: []string{ `{group="production", instance="0", job="api-server"} => 5 @[%v]`, `{group="production", instance="1", job="api-server"} => 5 @[%v]`, }, }, { expr: `round(0.045 * http_requests{group="production",job="api-server"}, 5)`, output: []string{ `{group="production", instance="0", job="api-server"} => 5 @[%v]`, `{group="production", instance="1", job="api-server"} => 10 @[%v]`, }, }, { expr: `avg_over_time(http_requests{group="production",job="api-server"}[1h])`, output: []string{ `{group="production", instance="0", job="api-server"} => 50 @[%v]`, `{group="production", instance="1", job="api-server"} => 100 @[%v]`, }, }, { expr: `count_over_time(http_requests{group="production",job="api-server"}[1h])`, output: []string{ `{group="production", instance="0", job="api-server"} => 11 @[%v]`, `{group="production", instance="1", job="api-server"} => 11 @[%v]`, }, }, { expr: `max_over_time(http_requests{group="production",job="api-server"}[1h])`, output: []string{ `{group="production", instance="0", job="api-server"} => 100 @[%v]`, `{group="production", instance="1", job="api-server"} => 200 @[%v]`, }, }, { expr: `min_over_time(http_requests{group="production",job="api-server"}[1h])`, output: []string{ `{group="production", instance="0", job="api-server"} => 0 @[%v]`, `{group="production", instance="1", job="api-server"} => 0 @[%v]`, }, }, { expr: `sum_over_time(http_requests{group="production",job="api-server"}[1h])`, output: []string{ `{group="production", instance="0", job="api-server"} => 550 @[%v]`, `{group="production", instance="1", job="api-server"} => 1100 @[%v]`, }, }, { expr: `time()`, output: []string{`scalar: 3000 @[%v]`}, }, { expr: `drop_common_labels(http_requests{group="production",job="api-server"})`, output: []string{ `http_requests{instance="0"} => 100 @[%v]`, `http_requests{instance="1"} => 200 @[%v]`, }, }, { expr: `{` + string(clientmodel.MetricNameLabel) + `=~".*"}`, output: []string{ `http_requests{group="canary", instance="0", job="api-server"} => 300 @[%v]`, `http_requests{group="canary", instance="0", job="app-server"} => 700 @[%v]`, `http_requests{group="canary", instance="1", job="api-server"} => 400 @[%v]`, `http_requests{group="canary", instance="1", job="app-server"} => 800 @[%v]`, `http_requests{group="production", instance="0", job="api-server"} => 100 @[%v]`, `http_requests{group="production", instance="0", job="app-server"} => 500 @[%v]`, `http_requests{group="production", instance="1", job="api-server"} => 200 @[%v]`, `http_requests{group="production", instance="1", job="app-server"} => 600 @[%v]`, `testcounter_reset_end => 0 @[%v]`, `testcounter_reset_middle => 50 @[%v]`, `x{y="testvalue"} => 100 @[%v]`, `label_grouping_test{a="a", b="abb"} => 200 @[%v]`, `label_grouping_test{a="aa", b="bb"} => 100 @[%v]`, `testhistogram_bucket{le="0.1", start="positive"} => 50 @[%v]`, `testhistogram_bucket{le=".2", start="positive"} => 70 @[%v]`, `testhistogram_bucket{le="1e0", start="positive"} => 110 @[%v]`, `testhistogram_bucket{le="+Inf", start="positive"} => 120 @[%v]`, `testhistogram_bucket{le="-.2", start="negative"} => 10 @[%v]`, `testhistogram_bucket{le="-0.1", start="negative"} => 20 @[%v]`, `testhistogram_bucket{le="0.3", start="negative"} => 20 @[%v]`, `testhistogram_bucket{le="+Inf", start="negative"} => 30 @[%v]`, `request_duration_seconds_bucket{instance="ins1", job="job1", le="0.1"} => 10 @[%v]`, `request_duration_seconds_bucket{instance="ins1", job="job1", le="0.2"} => 30 @[%v]`, `request_duration_seconds_bucket{instance="ins1", job="job1", le="+Inf"} => 40 @[%v]`, `request_duration_seconds_bucket{instance="ins2", job="job1", le="0.1"} => 20 @[%v]`, `request_duration_seconds_bucket{instance="ins2", job="job1", le="0.2"} => 50 @[%v]`, `request_duration_seconds_bucket{instance="ins2", job="job1", le="+Inf"} => 60 @[%v]`, `request_duration_seconds_bucket{instance="ins1", job="job2", le="0.1"} => 30 @[%v]`, `request_duration_seconds_bucket{instance="ins1", job="job2", le="0.2"} => 40 @[%v]`, `request_duration_seconds_bucket{instance="ins1", job="job2", le="+Inf"} => 60 @[%v]`, `request_duration_seconds_bucket{instance="ins2", job="job2", le="0.1"} => 40 @[%v]`, `request_duration_seconds_bucket{instance="ins2", job="job2", le="0.2"} => 70 @[%v]`, `request_duration_seconds_bucket{instance="ins2", job="job2", le="+Inf"} => 90 @[%v]`, }, }, { expr: `{job=~"server", job!~"api"}`, output: []string{ `http_requests{group="canary", instance="0", job="app-server"} => 700 @[%v]`, `http_requests{group="canary", instance="1", job="app-server"} => 800 @[%v]`, `http_requests{group="production", instance="0", job="app-server"} => 500 @[%v]`, `http_requests{group="production", instance="1", job="app-server"} => 600 @[%v]`, }, }, { // Test alternative "by"-clause order. expr: `sum by (group) (http_requests{job="api-server"})`, output: []string{ `{group="canary"} => 700 @[%v]`, `{group="production"} => 300 @[%v]`, }, }, { // Test alternative "by"-clause order with "keeping_extra". expr: `sum by (group) keeping_extra (http_requests{job="api-server"})`, output: []string{ `{group="canary", job="api-server"} => 700 @[%v]`, `{group="production", job="api-server"} => 300 @[%v]`, }, }, { // Test both alternative "by"-clause orders in one expression. // Public health warning: stick to one form within an expression (or even // in an organization), or risk serious user confusion. expr: `sum(sum by (group) keeping_extra (http_requests{job="api-server"})) by (job)`, output: []string{ `{job="api-server"} => 1000 @[%v]`, }, }, { expr: `absent(nonexistent)`, output: []string{ `{} => 1 @[%v]`, }, }, { expr: `absent(nonexistent{job="testjob", instance="testinstance", method=~".*"})`, output: []string{ `{instance="testinstance", job="testjob"} => 1 @[%v]`, }, }, { expr: `count_scalar(absent(http_requests))`, output: []string{ `scalar: 0 @[%v]`, }, }, { expr: `count_scalar(absent(sum(http_requests)))`, output: []string{ `scalar: 0 @[%v]`, }, }, { expr: `absent(sum(nonexistent{job="testjob", instance="testinstance"}))`, output: []string{ `{} => 1 @[%v]`, }, }, { expr: `http_requests{group="production",job="api-server"} offset 5m`, output: []string{ `http_requests{group="production", instance="0", job="api-server"} => 90 @[%v]`, `http_requests{group="production", instance="1", job="api-server"} => 180 @[%v]`, }, }, { expr: `rate(http_requests{group="production",job="api-server"}[10m] offset 5m)`, output: []string{ `{group="production", instance="0", job="api-server"} => 0.03333333333333333 @[%v]`, `{group="production", instance="1", job="api-server"} => 0.06666666666666667 @[%v]`, }, }, { expr: `rate(http_requests[10m]) offset 5m`, shouldFail: true, }, { expr: `sum(http_requests) offset 5m`, shouldFail: true, }, // Regression test for missing separator byte in labelsToGroupingKey. { expr: `sum(label_grouping_test) by (a, b)`, output: []string{ `{a="a", b="abb"} => 200 @[%v]`, `{a="aa", b="bb"} => 100 @[%v]`, }, }, // Quantile too low. { expr: `histogram_quantile(-0.1, testhistogram_bucket)`, output: []string{ `{start="positive"} => -Inf @[%v]`, `{start="negative"} => -Inf @[%v]`, }, }, // Quantile too high. { expr: `histogram_quantile(1.01, testhistogram_bucket)`, output: []string{ `{start="positive"} => +Inf @[%v]`, `{start="negative"} => +Inf @[%v]`, }, }, // Quantile value in lowest bucket, which is positive. { expr: `histogram_quantile(0, testhistogram_bucket{start="positive"})`, output: []string{ `{start="positive"} => 0 @[%v]`, }, }, // Quantile value in lowest bucket, which is negative. { expr: `histogram_quantile(0, testhistogram_bucket{start="negative"})`, output: []string{ `{start="negative"} => -0.2 @[%v]`, }, }, // Quantile value in highest bucket. { expr: `histogram_quantile(1, testhistogram_bucket)`, output: []string{ `{start="positive"} => 1 @[%v]`, `{start="negative"} => 0.3 @[%v]`, }, }, // Finally some useful quantiles. { expr: `histogram_quantile(0.2, testhistogram_bucket)`, output: []string{ `{start="positive"} => 0.048 @[%v]`, `{start="negative"} => -0.2 @[%v]`, }, }, { expr: `histogram_quantile(0.5, testhistogram_bucket)`, output: []string{ `{start="positive"} => 0.15 @[%v]`, `{start="negative"} => -0.15 @[%v]`, }, }, { expr: `histogram_quantile(0.8, testhistogram_bucket)`, output: []string{ `{start="positive"} => 0.72 @[%v]`, `{start="negative"} => 0.3 @[%v]`, }, }, // More realistic with rates. { expr: `histogram_quantile(0.2, rate(testhistogram_bucket[5m]))`, output: []string{ `{start="positive"} => 0.048 @[%v]`, `{start="negative"} => -0.2 @[%v]`, }, }, { expr: `histogram_quantile(0.5, rate(testhistogram_bucket[5m]))`, output: []string{ `{start="positive"} => 0.15 @[%v]`, `{start="negative"} => -0.15 @[%v]`, }, }, { expr: `histogram_quantile(0.8, rate(testhistogram_bucket[5m]))`, output: []string{ `{start="positive"} => 0.72 @[%v]`, `{start="negative"} => 0.3 @[%v]`, }, }, // Aggregated histogram: Everything in one. { expr: `histogram_quantile(0.3, sum(rate(request_duration_seconds_bucket[5m])) by (le))`, output: []string{ `{} => 0.075 @[%v]`, }, }, { expr: `histogram_quantile(0.5, sum(rate(request_duration_seconds_bucket[5m])) by (le))`, output: []string{ `{} => 0.1277777777777778 @[%v]`, }, }, // Aggregated histogram: Everything in one. Now with avg, which does not change anything. { expr: `histogram_quantile(0.3, avg(rate(request_duration_seconds_bucket[5m])) by (le))`, output: []string{ `{} => 0.075 @[%v]`, }, }, { expr: `histogram_quantile(0.5, avg(rate(request_duration_seconds_bucket[5m])) by (le))`, output: []string{ `{} => 0.12777777777777778 @[%v]`, }, }, // Aggregated histogram: By job. { expr: `histogram_quantile(0.3, sum(rate(request_duration_seconds_bucket[5m])) by (le, instance))`, output: []string{ `{instance="ins1"} => 0.075 @[%v]`, `{instance="ins2"} => 0.075 @[%v]`, }, }, { expr: `histogram_quantile(0.5, sum(rate(request_duration_seconds_bucket[5m])) by (le, instance))`, output: []string{ `{instance="ins1"} => 0.1333333333 @[%v]`, `{instance="ins2"} => 0.125 @[%v]`, }, }, // Aggregated histogram: By instance. { expr: `histogram_quantile(0.3, sum(rate(request_duration_seconds_bucket[5m])) by (le, job))`, output: []string{ `{job="job1"} => 0.1 @[%v]`, `{job="job2"} => 0.0642857142857143 @[%v]`, }, }, { expr: `histogram_quantile(0.5, sum(rate(request_duration_seconds_bucket[5m])) by (le, job))`, output: []string{ `{job="job1"} => 0.14 @[%v]`, `{job="job2"} => 0.1125 @[%v]`, }, }, // Aggregated histogram: By job and instance. { expr: `histogram_quantile(0.3, sum(rate(request_duration_seconds_bucket[5m])) by (le, job, instance))`, output: []string{ `{instance="ins1", job="job1"} => 0.11 @[%v]`, `{instance="ins2", job="job1"} => 0.09 @[%v]`, `{instance="ins1", job="job2"} => 0.06 @[%v]`, `{instance="ins2", job="job2"} => 0.0675 @[%v]`, }, }, { expr: `histogram_quantile(0.5, sum(rate(request_duration_seconds_bucket[5m])) by (le, job, instance))`, output: []string{ `{instance="ins1", job="job1"} => 0.15 @[%v]`, `{instance="ins2", job="job1"} => 0.1333333333333333 @[%v]`, `{instance="ins1", job="job2"} => 0.1 @[%v]`, `{instance="ins2", job="job2"} => 0.1166666666666667 @[%v]`, }, }, // The unaggregated histogram for comparison. Same result as the previous one. { expr: `histogram_quantile(0.3, rate(request_duration_seconds_bucket[5m]))`, output: []string{ `{instance="ins1", job="job1"} => 0.11 @[%v]`, `{instance="ins2", job="job1"} => 0.09 @[%v]`, `{instance="ins1", job="job2"} => 0.06 @[%v]`, `{instance="ins2", job="job2"} => 0.0675 @[%v]`, }, }, { expr: `histogram_quantile(0.5, rate(request_duration_seconds_bucket[5m]))`, output: []string{ `{instance="ins1", job="job1"} => 0.15 @[%v]`, `{instance="ins2", job="job1"} => 0.13333333333333333 @[%v]`, `{instance="ins1", job="job2"} => 0.1 @[%v]`, `{instance="ins2", job="job2"} => 0.11666666666666667 @[%v]`, }, }, { expr: `12.34e6`, output: []string{`scalar: 12340000 @[%v]`}, }, { expr: `12.34e+6`, output: []string{`scalar: 12340000 @[%v]`}, }, { expr: `12.34e-6`, output: []string{`scalar: 0.00001234 @[%v]`}, }, { expr: `.2`, output: []string{`scalar: 0.2 @[%v]`}, }, { expr: `+0.2`, output: []string{`scalar: 0.2 @[%v]`}, }, { expr: `-0.2e-6`, output: []string{`scalar: -0.0000002 @[%v]`}, }, { expr: `+Inf`, output: []string{`scalar: +Inf @[%v]`}, }, { expr: `inF`, output: []string{`scalar: +Inf @[%v]`}, }, { expr: `-inf`, output: []string{`scalar: -Inf @[%v]`}, }, { expr: `NaN`, output: []string{`scalar: NaN @[%v]`}, }, { expr: `nan`, output: []string{`scalar: NaN @[%v]`}, }, { expr: `2.`, shouldFail: true, }, { expr: `999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999`, output: []string{`scalar: +Inf @[%v]`}, }, } storage, closer := newTestStorage(t) defer closer.Close() for i, exprTest := range expressionTests { expectedLines := annotateWithTime(exprTest.output, testEvalTime) testExpr, err := LoadExprFromString(exprTest.expr) if err != nil { if exprTest.shouldFail { continue } t.Errorf("%d. Error during parsing: %v", i, err) t.Errorf("%d. Expression: %v", i, exprTest.expr) } else { if exprTest.shouldFail { t.Errorf("%d. Test should fail, but didn't", i) } failed := false resultStr := ast.EvalToString(testExpr, testEvalTime, ast.Text, storage, stats.NewTimerGroup()) resultLines := strings.Split(resultStr, "\n") if len(exprTest.output) != len(resultLines) { t.Errorf("%d. Number of samples in expected and actual output don't match", i) failed = true } if exprTest.checkOrder { for j, expectedSample := range expectedLines { if resultLines[j] != expectedSample { t.Errorf("%d.%d. Expected sample '%v', got '%v'", i, j, resultLines[j], expectedSample) failed = true } } } else { for j, expectedSample := range expectedLines { found := false for _, actualSample := range resultLines { if samplesAlmostEqual(actualSample, expectedSample) { found = true } } if !found { t.Errorf("%d.%d. Couldn't find expected sample in output: '%v'", i, j, expectedSample) failed = true } } } if failed { t.Errorf("%d. Expression: %v\n%v", i, exprTest.expr, vectorComparisonString(expectedLines, resultLines)) } } } } func TestRangedEvaluationRegressions(t *testing.T) { scenarios := []struct { in ast.Matrix out ast.Matrix expr string }{ { // Testing COWMetric behavior in drop_common_labels. in: ast.Matrix{ { Metric: clientmodel.COWMetric{ Metric: clientmodel.Metric{ clientmodel.MetricNameLabel: "testmetric", "testlabel": "1", }, }, Values: metric.Values{ { Timestamp: testStartTime, Value: 1, }, { Timestamp: testStartTime.Add(time.Hour), Value: 1, }, }, }, { Metric: clientmodel.COWMetric{ Metric: clientmodel.Metric{ clientmodel.MetricNameLabel: "testmetric", "testlabel": "2", }, }, Values: metric.Values{ { Timestamp: testStartTime.Add(time.Hour), Value: 2, }, }, }, }, out: ast.Matrix{ { Metric: clientmodel.COWMetric{ Metric: clientmodel.Metric{ clientmodel.MetricNameLabel: "testmetric", }, }, Values: metric.Values{ { Timestamp: testStartTime, Value: 1, }, }, }, { Metric: clientmodel.COWMetric{ Metric: clientmodel.Metric{ clientmodel.MetricNameLabel: "testmetric", "testlabel": "1", }, }, Values: metric.Values{ { Timestamp: testStartTime.Add(time.Hour), Value: 1, }, }, }, { Metric: clientmodel.COWMetric{ Metric: clientmodel.Metric{ clientmodel.MetricNameLabel: "testmetric", "testlabel": "2", }, }, Values: metric.Values{ { Timestamp: testStartTime.Add(time.Hour), Value: 2, }, }, }, }, expr: "drop_common_labels(testmetric)", }, { // Testing COWMetric behavior in vector aggregation. in: ast.Matrix{ { Metric: clientmodel.COWMetric{ Metric: clientmodel.Metric{ clientmodel.MetricNameLabel: "testmetric", "testlabel": "1", }, }, Values: metric.Values{ { Timestamp: testStartTime, Value: 1, }, { Timestamp: testStartTime.Add(time.Hour), Value: 1, }, }, }, { Metric: clientmodel.COWMetric{ Metric: clientmodel.Metric{ clientmodel.MetricNameLabel: "testmetric", "testlabel": "2", }, }, Values: metric.Values{ { Timestamp: testStartTime, Value: 2, }, }, }, }, out: ast.Matrix{ { Metric: clientmodel.COWMetric{ Metric: clientmodel.Metric{}, }, Values: metric.Values{ { Timestamp: testStartTime, Value: 3, }, }, }, { Metric: clientmodel.COWMetric{ Metric: clientmodel.Metric{ "testlabel": "1", }, }, Values: metric.Values{ { Timestamp: testStartTime.Add(time.Hour), Value: 1, }, }, }, }, expr: "sum(testmetric) keeping_extra", }, { // Testing metric fingerprint grouping behavior. in: ast.Matrix{ { Metric: clientmodel.COWMetric{ Metric: clientmodel.Metric{ clientmodel.MetricNameLabel: "testmetric", "aa": "bb", }, }, Values: metric.Values{ { Timestamp: testStartTime, Value: 1, }, }, }, { Metric: clientmodel.COWMetric{ Metric: clientmodel.Metric{ clientmodel.MetricNameLabel: "testmetric", "a": "abb", }, }, Values: metric.Values{ { Timestamp: testStartTime, Value: 2, }, }, }, }, out: ast.Matrix{ { Metric: clientmodel.COWMetric{ Metric: clientmodel.Metric{ clientmodel.MetricNameLabel: "testmetric", "aa": "bb", }, }, Values: metric.Values{ { Timestamp: testStartTime, Value: 1, }, }, }, { Metric: clientmodel.COWMetric{ Metric: clientmodel.Metric{ clientmodel.MetricNameLabel: "testmetric", "a": "abb", }, }, Values: metric.Values{ { Timestamp: testStartTime, Value: 2, }, }, }, }, expr: "testmetric", }, } for i, s := range scenarios { storage, closer := local.NewTestStorage(t) storeMatrix(storage, s.in) expr, err := LoadExprFromString(s.expr) if err != nil { t.Fatalf("%d. Error parsing expression: %v", i, err) } got, err := ast.EvalVectorRange( expr.(ast.VectorNode), testStartTime, testStartTime.Add(time.Hour), time.Hour, storage, stats.NewTimerGroup(), ) if err != nil { t.Fatalf("%d. Error evaluating expression: %v", i, err) } if got.String() != s.out.String() { t.Fatalf("%d. Expression: %s\n\ngot:\n=====\n%v\n====\n\nwant:\n=====\n%v\n=====\n", i, s.expr, got.String(), s.out.String()) } closer.Close() } } var ruleTests = []struct { inputFile string shouldFail bool errContains string numRecordingRules int numAlertingRules int }{ { inputFile: "empty.rules", numRecordingRules: 0, numAlertingRules: 0, }, { inputFile: "mixed.rules", numRecordingRules: 2, numAlertingRules: 2, }, { inputFile: "syntax_error.rules", shouldFail: true, errContains: "Error parsing rules at line 5", }, { inputFile: "non_vector.rules", shouldFail: true, errContains: "does not evaluate to vector type", }, } func TestRules(t *testing.T) { for i, ruleTest := range ruleTests { testRules, err := LoadRulesFromFile(path.Join(fixturesPath, ruleTest.inputFile)) if err != nil { if !ruleTest.shouldFail { t.Fatalf("%d. Error parsing rules file %v: %v", i, ruleTest.inputFile, err) } else { if !strings.Contains(err.Error(), ruleTest.errContains) { t.Fatalf("%d. Expected error containing '%v', got: %v", i, ruleTest.errContains, err) } } } else { numRecordingRules := 0 numAlertingRules := 0 for j, rule := range testRules { switch rule.(type) { case *RecordingRule: numRecordingRules++ case *AlertingRule: numAlertingRules++ default: t.Fatalf("%d.%d. Unknown rule type!", i, j) } } if numRecordingRules != ruleTest.numRecordingRules { t.Fatalf("%d. Expected %d recording rules, got %d", i, ruleTest.numRecordingRules, numRecordingRules) } if numAlertingRules != ruleTest.numAlertingRules { t.Fatalf("%d. Expected %d alerting rules, got %d", i, ruleTest.numAlertingRules, numAlertingRules) } // TODO(julius): add more complex checks on the parsed rules here. } } } func TestAlertingRule(t *testing.T) { // Labels in expected output need to be alphabetically sorted. var evalOutputs = [][]string{ { `ALERTS{alertname="HttpRequestRateLow", alertstate="pending", group="canary", instance="0", job="app-server", severity="critical"} => 1 @[%v]`, `ALERTS{alertname="HttpRequestRateLow", alertstate="pending", group="canary", instance="1", job="app-server", severity="critical"} => 1 @[%v]`, }, { `ALERTS{alertname="HttpRequestRateLow", alertstate="pending", group="canary", instance="0", job="app-server", severity="critical"} => 0 @[%v]`, `ALERTS{alertname="HttpRequestRateLow", alertstate="firing", group="canary", instance="0", job="app-server", severity="critical"} => 1 @[%v]`, `ALERTS{alertname="HttpRequestRateLow", alertstate="pending", group="canary", instance="1", job="app-server", severity="critical"} => 0 @[%v]`, `ALERTS{alertname="HttpRequestRateLow", alertstate="firing", group="canary", instance="1", job="app-server", severity="critical"} => 1 @[%v]`, }, { `ALERTS{alertname="HttpRequestRateLow", alertstate="firing", group="canary", instance="1", job="app-server", severity="critical"} => 0 @[%v]`, `ALERTS{alertname="HttpRequestRateLow", alertstate="firing", group="canary", instance="0", job="app-server", severity="critical"} => 0 @[%v]`, }, { /* empty */ }, { /* empty */ }, } storage, closer := newTestStorage(t) defer closer.Close() alertExpr, err := LoadExprFromString(`http_requests{group="canary", job="app-server"} < 100`) if err != nil { t.Fatalf("Unable to parse alert expression: %s", err) } alertName := "HttpRequestRateLow" alertLabels := clientmodel.LabelSet{ "severity": "critical", } rule := NewAlertingRule(alertName, alertExpr.(ast.VectorNode), time.Minute, alertLabels, "summary", "description") for i, expected := range evalOutputs { evalTime := testStartTime.Add(testSampleInterval * time.Duration(i)) actual, err := rule.Eval(evalTime, storage) if err != nil { t.Fatalf("Error during alerting rule evaluation: %s", err) } actualLines := strings.Split(actual.String(), "\n") expectedLines := annotateWithTime(expected, evalTime) if actualLines[0] == "" { actualLines = []string{} } failed := false if len(actualLines) != len(expectedLines) { t.Errorf("%d. Number of samples in expected and actual output don't match (%d vs. %d)", i, len(expectedLines), len(actualLines)) failed = true } for j, expectedSample := range expectedLines { found := false for _, actualSample := range actualLines { if actualSample == expectedSample { found = true } } if !found { t.Errorf("%d.%d. Couldn't find expected sample in output: '%v'", i, j, expectedSample) failed = true } } if failed { t.Fatalf("%d. Expected and actual outputs don't match:\n%v", i, vectorComparisonString(expectedLines, actualLines)) } } }