// Copyright 2019 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 promqltest import ( "math" "testing" "time" "github.com/stretchr/testify/require" "github.com/prometheus/prometheus/model/labels" "github.com/prometheus/prometheus/promql" "github.com/prometheus/prometheus/tsdb/chunkenc" ) func TestLazyLoader_WithSamplesTill(t *testing.T) { type testCase struct { ts time.Time series []promql.Series // Each series is checked separately. Need not mention all series here. checkOnlyError bool // If this is true, series is not checked. } cases := []struct { loadString string // These testCases are run in sequence. So the testCase being run is dependent on the previous testCase. testCases []testCase }{ { loadString: ` load 10s metric1 1+1x10 `, testCases: []testCase{ { ts: time.Unix(40, 0), series: []promql.Series{ { Metric: labels.FromStrings("__name__", "metric1"), Floats: []promql.FPoint{ {T: 0, F: 1}, {T: 10000, F: 2}, {T: 20000, F: 3}, {T: 30000, F: 4}, {T: 40000, F: 5}, }, }, }, }, { ts: time.Unix(10, 0), series: []promql.Series{ { Metric: labels.FromStrings("__name__", "metric1"), Floats: []promql.FPoint{ {T: 0, F: 1}, {T: 10000, F: 2}, {T: 20000, F: 3}, {T: 30000, F: 4}, {T: 40000, F: 5}, }, }, }, }, { ts: time.Unix(60, 0), series: []promql.Series{ { Metric: labels.FromStrings("__name__", "metric1"), Floats: []promql.FPoint{ {T: 0, F: 1}, {T: 10000, F: 2}, {T: 20000, F: 3}, {T: 30000, F: 4}, {T: 40000, F: 5}, {T: 50000, F: 6}, {T: 60000, F: 7}, }, }, }, }, }, }, { loadString: ` load 10s metric1 1+0x5 metric2 1+1x100 `, testCases: []testCase{ { // Adds all samples of metric1. ts: time.Unix(70, 0), series: []promql.Series{ { Metric: labels.FromStrings("__name__", "metric1"), Floats: []promql.FPoint{ {T: 0, F: 1}, {T: 10000, F: 1}, {T: 20000, F: 1}, {T: 30000, F: 1}, {T: 40000, F: 1}, {T: 50000, F: 1}, }, }, { Metric: labels.FromStrings("__name__", "metric2"), Floats: []promql.FPoint{ {T: 0, F: 1}, {T: 10000, F: 2}, {T: 20000, F: 3}, {T: 30000, F: 4}, {T: 40000, F: 5}, {T: 50000, F: 6}, {T: 60000, F: 7}, {T: 70000, F: 8}, }, }, }, }, { // This tests fix for https://github.com/prometheus/prometheus/issues/5064. ts: time.Unix(300, 0), checkOnlyError: true, }, }, }, } for _, c := range cases { suite, err := NewLazyLoader(c.loadString, LazyLoaderOpts{}) require.NoError(t, err) defer suite.Close() for _, tc := range c.testCases { suite.WithSamplesTill(tc.ts, func(err error) { require.NoError(t, err) if tc.checkOnlyError { return } // Check the series. queryable := suite.Queryable() querier, err := queryable.Querier(math.MinInt64, math.MaxInt64) require.NoError(t, err) for _, s := range tc.series { var matchers []*labels.Matcher s.Metric.Range(func(label labels.Label) { m, err := labels.NewMatcher(labels.MatchEqual, label.Name, label.Value) require.NoError(t, err) matchers = append(matchers, m) }) // Get the series for the matcher. ss := querier.Select(suite.Context(), false, nil, matchers...) require.True(t, ss.Next()) storageSeries := ss.At() require.False(t, ss.Next(), "Expecting only 1 series") // Convert `storage.Series` to `promql.Series`. got := promql.Series{ Metric: storageSeries.Labels(), } it := storageSeries.Iterator(nil) for it.Next() == chunkenc.ValFloat { t, v := it.At() got.Floats = append(got.Floats, promql.FPoint{T: t, F: v}) } require.NoError(t, it.Err()) require.Equal(t, s, got) } }) } } } func TestRunTest(t *testing.T) { testData := ` load 5m http_requests{job="api-server", instance="0", group="production"} 0+10x10 http_requests{job="api-server", instance="1", group="production"} 0+20x10 http_requests{job="api-server", instance="0", group="canary"} 0+30x10 http_requests{job="api-server", instance="1", group="canary"} 0+40x10 ` testCases := map[string]struct { input string expectedError string }{ "instant query with expected float result": { input: testData + ` eval instant at 5m sum by (group) (http_requests) {group="production"} 30 {group="canary"} 70 `, }, "instant query with unexpected float result": { input: testData + ` eval instant at 5m sum by (group) (http_requests) {group="production"} 30 {group="canary"} 80 `, expectedError: `error in eval sum by (group) (http_requests) (line 8): expected 80 for {group="canary"} but got 70`, }, "instant query with expected histogram result": { input: ` load 5m testmetric {{schema:-1 sum:4 count:1 buckets:[1] offset:1}} eval instant at 0 testmetric testmetric {{schema:-1 sum:4 count:1 buckets:[1] offset:1}} `, }, "instant query with unexpected histogram result": { input: ` load 5m testmetric {{schema:-1 sum:4 count:1 buckets:[1] offset:1}} eval instant at 0 testmetric testmetric {{schema:-1 sum:6 count:1 buckets:[1] offset:1}} `, expectedError: `error in eval testmetric (line 5): expected {{schema:-1 count:1 sum:6 offset:1 buckets:[1]}} for {__name__="testmetric"} but got {{schema:-1 count:1 sum:4 offset:1 buckets:[1]}}`, }, "instant query with float value returned when histogram expected": { input: ` load 5m testmetric 2 eval instant at 0 testmetric testmetric {{}} `, expectedError: `error in eval testmetric (line 5): expected histogram {{}} for {__name__="testmetric"} but got float value 2`, }, "instant query with histogram returned when float expected": { input: ` load 5m testmetric {{}} eval instant at 0 testmetric testmetric 2 `, expectedError: `error in eval testmetric (line 5): expected float value 2.000000 for {__name__="testmetric"} but got histogram {{}}`, }, "instant query, but result has an unexpected series with a float value": { input: testData + ` eval instant at 5m sum by (group) (http_requests) {group="production"} 30 `, expectedError: `error in eval sum by (group) (http_requests) (line 8): unexpected metric {group="canary"} in result, has value 70`, }, "instant query, but result has an unexpected series with a histogram value": { input: ` load 5m testmetric {{}} eval instant at 5m testmetric `, expectedError: `error in eval testmetric (line 5): unexpected metric {__name__="testmetric"} in result, has value {count:0, sum:0}`, }, "instant query, but result is missing a series": { input: testData + ` eval instant at 5m sum by (group) (http_requests) {group="production"} 30 {group="canary"} 70 {group="test"} 100 `, expectedError: `error in eval sum by (group) (http_requests) (line 8): expected metric {group="test"} with 3: [100.000000] not found`, }, "instant query expected to fail, and query fails": { input: ` load 5m testmetric1{src="a",dst="b"} 0 testmetric2{src="a",dst="b"} 1 eval_fail instant at 0m ceil({__name__=~'testmetric1|testmetric2'}) `, }, "instant query expected to fail, but query succeeds": { input: `eval_fail instant at 0s vector(0)`, expectedError: `expected error evaluating query "vector(0)" (line 1) but got none`, }, "instant query expected to fail with specific error message, and query fails with that error": { input: ` load 5m testmetric1{src="a",dst="b"} 0 testmetric2{src="a",dst="b"} 1 eval_fail instant at 0m ceil({__name__=~'testmetric1|testmetric2'}) expected_fail_message vector cannot contain metrics with the same labelset `, }, "instant query expected to fail with specific error message, and query fails with a different error": { input: ` load 5m testmetric1{src="a",dst="b"} 0 testmetric2{src="a",dst="b"} 1 eval_fail instant at 0m ceil({__name__=~'testmetric1|testmetric2'}) expected_fail_message something else went wrong `, expectedError: `expected error "something else went wrong" evaluating query "ceil({__name__=~'testmetric1|testmetric2'})" (line 6), but got: vector cannot contain metrics with the same labelset`, }, "instant query expected to fail with error matching pattern, and query fails with that error": { input: ` load 5m testmetric1{src="a",dst="b"} 0 testmetric2{src="a",dst="b"} 1 eval_fail instant at 0m ceil({__name__=~'testmetric1|testmetric2'}) expected_fail_regexp vector .* contain metrics `, }, "instant query expected to fail with error matching pattern, and query fails with a different error": { input: ` load 5m testmetric1{src="a",dst="b"} 0 testmetric2{src="a",dst="b"} 1 eval_fail instant at 0m ceil({__name__=~'testmetric1|testmetric2'}) expected_fail_regexp something else went wrong `, expectedError: `expected error matching pattern "something else went wrong" evaluating query "ceil({__name__=~'testmetric1|testmetric2'})" (line 6), but got: vector cannot contain metrics with the same labelset`, }, "instant query expected to fail with error matching pattern, and pattern is not a valid regexp": { input: ` load 5m testmetric1{src="a",dst="b"} 0 testmetric2{src="a",dst="b"} 1 eval_fail instant at 0m ceil({__name__=~'testmetric1|testmetric2'}) expected_fail_regexp [ `, expectedError: `error in eval ceil({__name__=~'testmetric1|testmetric2'}) (line 7): invalid regexp '[' for expected_fail_regexp: error parsing regexp: missing closing ]: ` + "`[`", }, "instant query with results expected to match provided order, and result is in expected order": { input: testData + ` eval_ordered instant at 50m sort(http_requests) http_requests{group="production", instance="0", job="api-server"} 100 http_requests{group="production", instance="1", job="api-server"} 200 http_requests{group="canary", instance="0", job="api-server"} 300 http_requests{group="canary", instance="1", job="api-server"} 400 `, }, "instant query with results expected to match provided order, but result is out of order": { input: testData + ` eval_ordered instant at 50m sort(http_requests) http_requests{group="production", instance="0", job="api-server"} 100 http_requests{group="production", instance="1", job="api-server"} 200 http_requests{group="canary", instance="1", job="api-server"} 400 http_requests{group="canary", instance="0", job="api-server"} 300 `, expectedError: `error in eval sort(http_requests) (line 8): expected metric {__name__="http_requests", group="canary", instance="0", job="api-server"} with [300.000000] at position 4 but was at 3`, }, "instant query with results expected to match provided order, but result has an unexpected series": { input: testData + ` eval_ordered instant at 50m sort(http_requests) http_requests{group="production", instance="0", job="api-server"} 100 http_requests{group="production", instance="1", job="api-server"} 200 http_requests{group="canary", instance="0", job="api-server"} 300 `, expectedError: `error in eval sort(http_requests) (line 8): unexpected metric {__name__="http_requests", group="canary", instance="1", job="api-server"} in result, has value 400`, }, "instant query with invalid timestamp": { input: `eval instant at abc123 vector(0)`, expectedError: `error in eval vector(0) (line 1): invalid timestamp definition "abc123": not a valid duration string: "abc123"`, }, "range query with expected result": { input: testData + ` eval range from 0 to 10m step 5m sum by (group) (http_requests) {group="production"} 0 30 60 {group="canary"} 0 70 140 `, }, "range query with unexpected float value": { input: testData + ` eval range from 0 to 10m step 5m sum by (group) (http_requests) {group="production"} 0 30 60 {group="canary"} 0 80 140 `, expectedError: `error in eval sum by (group) (http_requests) (line 8): expected float value at index 1 (t=300000) for {group="canary"} to be 80, but got 70 (result has 3 float points [0 @[0] 70 @[300000] 140 @[600000]] and 0 histogram points [])`, }, "range query with expected histogram values": { input: ` load 5m testmetric {{schema:-1 sum:4 count:1 buckets:[1] offset:1}} {{schema:-1 sum:5 count:1 buckets:[1] offset:1}} {{schema:-1 sum:6 count:1 buckets:[1] offset:1}} eval range from 0 to 10m step 5m testmetric testmetric {{schema:-1 sum:4 count:1 buckets:[1] offset:1}} {{schema:-1 sum:5 count:1 buckets:[1] offset:1}} {{schema:-1 sum:6 count:1 buckets:[1] offset:1}} `, }, "range query with unexpected histogram value": { input: ` load 5m testmetric {{schema:-1 sum:4 count:1 buckets:[1] offset:1}} {{schema:-1 sum:5 count:1 buckets:[1] offset:1}} {{schema:-1 sum:6 count:1 buckets:[1] offset:1}} eval range from 0 to 10m step 5m testmetric testmetric {{schema:-1 sum:4 count:1 buckets:[1] offset:1}} {{schema:-1 sum:7 count:1 buckets:[1] offset:1}} {{schema:-1 sum:8 count:1 buckets:[1] offset:1}} `, expectedError: `error in eval testmetric (line 5): expected histogram value at index 1 (t=300000) for {__name__="testmetric"} to be {count:1, sum:7, (1,4]:1}, but got {count:1, sum:5, (1,4]:1} (result has 0 float points [] and 3 histogram points [{count:1, sum:4, (1,4]:1} @[0] {count:1, sum:5, (1,4]:1} @[300000] {count:1, sum:6, (1,4]:1} @[600000]])`, }, "range query with too many points for query time range": { input: testData + ` eval range from 0 to 10m step 5m sum by (group) (http_requests) {group="production"} 0 30 60 90 {group="canary"} 0 70 140 `, expectedError: `error in eval sum by (group) (http_requests) (line 8): expected 4 points for {group="production"}, but query time range cannot return this many points`, }, "range query with missing point in result": { input: ` load 5m testmetric 5 eval range from 0 to 6m step 6m testmetric testmetric 5 10 `, expectedError: `error in eval testmetric (line 5): expected 2 float points and 0 histogram points for {__name__="testmetric"}, but got 1 float point [5 @[0]] and 0 histogram points []`, }, "range query with extra point in result": { input: testData + ` eval range from 0 to 10m step 5m sum by (group) (http_requests) {group="production"} 0 30 {group="canary"} 0 70 140 `, expectedError: `error in eval sum by (group) (http_requests) (line 8): expected 2 float points and 0 histogram points for {group="production"}, but got 3 float points [0 @[0] 30 @[300000] 60 @[600000]] and 0 histogram points []`, }, "range query, but result has an unexpected series": { input: testData + ` eval range from 0 to 10m step 5m sum by (group) (http_requests) {group="production"} 0 30 60 `, expectedError: `error in eval sum by (group) (http_requests) (line 8): unexpected metric {group="canary"} in result, has 3 float points [0 @[0] 70 @[300000] 140 @[600000]] and 0 histogram points []`, }, "range query, but result is missing a series": { input: testData + ` eval range from 0 to 10m step 5m sum by (group) (http_requests) {group="production"} 0 30 60 {group="canary"} 0 70 140 {group="test"} 0 100 200 `, expectedError: `error in eval sum by (group) (http_requests) (line 8): expected metric {group="test"} not found`, }, "range query expected to fail, and query fails": { input: ` load 5m testmetric1{src="a",dst="b"} 0 testmetric2{src="a",dst="b"} 1 eval_fail range from 0 to 10m step 5m ceil({__name__=~'testmetric1|testmetric2'}) `, }, "range query expected to fail, but query succeeds": { input: `eval_fail range from 0 to 10m step 5m vector(0)`, expectedError: `expected error evaluating query "vector(0)" (line 1) but got none`, }, "range query expected to fail with specific error message, and query fails with that error": { input: ` load 5m testmetric1{src="a",dst="b"} 0 testmetric2{src="a",dst="b"} 1 eval_fail range from 0 to 10m step 5m ceil({__name__=~'testmetric1|testmetric2'}) expected_fail_message vector cannot contain metrics with the same labelset `, }, "range query expected to fail with specific error message, and query fails with a different error": { input: ` load 5m testmetric1{src="a",dst="b"} 0 testmetric2{src="a",dst="b"} 1 eval_fail range from 0 to 10m step 5m ceil({__name__=~'testmetric1|testmetric2'}) expected_fail_message something else went wrong `, expectedError: `expected error "something else went wrong" evaluating query "ceil({__name__=~'testmetric1|testmetric2'})" (line 6), but got: vector cannot contain metrics with the same labelset`, }, "range query expected to fail with error matching pattern, and query fails with that error": { input: ` load 5m testmetric1{src="a",dst="b"} 0 testmetric2{src="a",dst="b"} 1 eval_fail range from 0 to 10m step 5m ceil({__name__=~'testmetric1|testmetric2'}) expected_fail_regexp vector .* contain metrics `, }, "range query expected to fail with error matching pattern, and query fails with a different error": { input: ` load 5m testmetric1{src="a",dst="b"} 0 testmetric2{src="a",dst="b"} 1 eval_fail range from 0 to 10m step 5m ceil({__name__=~'testmetric1|testmetric2'}) expected_fail_regexp something else went wrong `, expectedError: `expected error matching pattern "something else went wrong" evaluating query "ceil({__name__=~'testmetric1|testmetric2'})" (line 6), but got: vector cannot contain metrics with the same labelset`, }, "range query expected to fail with error matching pattern, and pattern is not a valid regexp": { input: ` load 5m testmetric1{src="a",dst="b"} 0 testmetric2{src="a",dst="b"} 1 eval_fail range from 0 to 10m step 5m ceil({__name__=~'testmetric1|testmetric2'}) expected_fail_regexp [ `, expectedError: `error in eval ceil({__name__=~'testmetric1|testmetric2'}) (line 7): invalid regexp '[' for expected_fail_regexp: error parsing regexp: missing closing ]: ` + "`[`", }, "range query with from and to timestamps in wrong order": { input: `eval range from 10m to 9m step 5m vector(0)`, expectedError: `error in eval vector(0) (line 1): invalid test definition, end timestamp (9m) is before start timestamp (10m)`, }, "range query with sparse output": { input: ` load 6m testmetric 1 _ 3 eval range from 0 to 18m step 6m testmetric testmetric 1 _ 3 `, }, "range query with float value returned when no value expected": { input: ` load 6m testmetric 1 2 3 eval range from 0 to 18m step 6m testmetric testmetric 1 _ 3 `, expectedError: `error in eval testmetric (line 5): expected 2 float points and 0 histogram points for {__name__="testmetric"}, but got 3 float points [1 @[0] 2 @[360000] 3 @[720000]] and 0 histogram points []`, }, "range query with float value returned when histogram expected": { input: ` load 5m testmetric 2 3 eval range from 0 to 5m step 5m testmetric testmetric {{}} {{}} `, expectedError: `error in eval testmetric (line 5): expected 0 float points and 2 histogram points for {__name__="testmetric"}, but got 2 float points [2 @[0] 3 @[300000]] and 0 histogram points []`, }, "range query with histogram returned when float expected": { input: ` load 5m testmetric {{}} {{}} eval range from 0 to 5m step 5m testmetric testmetric 2 3 `, expectedError: `error in eval testmetric (line 5): expected 2 float points and 0 histogram points for {__name__="testmetric"}, but got 0 float points [] and 2 histogram points [{count:0, sum:0} @[0] {count:0, sum:0} @[300000]]`, }, "range query with expected mixed results": { input: ` load 6m testmetric{group="a"} {{}} _ _ testmetric{group="b"} _ _ 3 eval range from 0 to 12m step 6m sum(testmetric) {} {{}} _ 3 `, }, "range query with mixed results and incorrect values": { input: ` load 5m testmetric 3 {{}} eval range from 0 to 5m step 5m testmetric testmetric {{}} 3 `, expectedError: `error in eval testmetric (line 5): expected float value at index 0 for {__name__="testmetric"} to have timestamp 300000, but it had timestamp 0 (result has 1 float point [3 @[0]] and 1 histogram point [{count:0, sum:0} @[300000]])`, }, "instant query with expected scalar result": { input: ` eval instant at 1m 3 3 `, }, "instant query with unexpected scalar result": { input: ` eval instant at 1m 3 2 `, expectedError: `error in eval 3 (line 2): expected scalar 2 but got 3`, }, "instant query that returns a scalar but expects a vector": { input: ` eval instant at 1m 3 {} 3 `, expectedError: `error in eval 3 (line 2): expected vector or matrix result, but got scalar: 3 @[60000]`, }, "instant query that returns a vector but expects a scalar": { input: ` eval instant at 1m vector(3) 3 `, expectedError: `error in eval vector(3) (line 2): expected scalar result, but got vector {} => 3 @[60000]`, }, "range query that returns a matrix but expects a scalar": { input: ` eval range from 0 to 1m step 30s vector(3) 3 `, expectedError: `error in eval vector(3) (line 2): expected scalar result, but got matrix {} => 3 @[0] 3 @[30000] 3 @[60000]`, }, } for name, testCase := range testCases { t.Run(name, func(t *testing.T) { err := runTest(t, testCase.input, NewTestEngine(t, false, 0, DefaultMaxSamplesPerQuery)) if testCase.expectedError == "" { require.NoError(t, err) } else { require.EqualError(t, err, testCase.expectedError) } }) } } func TestAssertMatrixSorted(t *testing.T) { testCases := map[string]struct { matrix promql.Matrix expectedError string }{ "empty matrix": { matrix: promql.Matrix{}, }, "matrix with one series": { matrix: promql.Matrix{ promql.Series{Metric: labels.FromStrings("the_label", "value_1")}, }, }, "matrix with two series, series in sorted order": { matrix: promql.Matrix{ promql.Series{Metric: labels.FromStrings("the_label", "value_1")}, promql.Series{Metric: labels.FromStrings("the_label", "value_2")}, }, }, "matrix with two series, series in reverse order": { matrix: promql.Matrix{ promql.Series{Metric: labels.FromStrings("the_label", "value_2")}, promql.Series{Metric: labels.FromStrings("the_label", "value_1")}, }, expectedError: `matrix results should always be sorted by labels, but matrix is not sorted: series at index 1 with labels {the_label="value_1"} sorts before series at index 0 with labels {the_label="value_2"}`, }, "matrix with three series, series in sorted order": { matrix: promql.Matrix{ promql.Series{Metric: labels.FromStrings("the_label", "value_1")}, promql.Series{Metric: labels.FromStrings("the_label", "value_2")}, promql.Series{Metric: labels.FromStrings("the_label", "value_3")}, }, }, "matrix with three series, series not in sorted order": { matrix: promql.Matrix{ promql.Series{Metric: labels.FromStrings("the_label", "value_1")}, promql.Series{Metric: labels.FromStrings("the_label", "value_3")}, promql.Series{Metric: labels.FromStrings("the_label", "value_2")}, }, expectedError: `matrix results should always be sorted by labels, but matrix is not sorted: series at index 2 with labels {the_label="value_2"} sorts before series at index 1 with labels {the_label="value_3"}`, }, } for name, testCase := range testCases { t.Run(name, func(t *testing.T) { err := assertMatrixSorted(testCase.matrix) if testCase.expectedError == "" { require.NoError(t, err) } else { require.EqualError(t, err, testCase.expectedError) } }) } }