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Merge pull request #14305 from charleskorn/charleskorn/convert-range-query-tests 

promql: Convert more test cases to test scripting language
This commit is contained in:
Björn Rabenstein 2024-06-18 17:27:55 +02:00 committed by GitHub
parent 1c3f322f78 d968408f51
commit b6ef745016
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GPG Key ID: B5690EEEBB952194
3 changed files with 81 additions and 202 deletions
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202
promql/engine_test.go
View File

@ -2015,47 +2015,6 @@ func TestSubquerySelector(t *testing.T) {
}
}
func TestTimestampFunction_StepsMoreOftenThanSamples(t *testing.T) {
engine := newTestEngine()
storage := promqltest.LoadedStorage(t, `
load 1m
metric 0+1x1000
`)
t.Cleanup(func() { storage.Close() })
query := "timestamp(metric)"
start := time.Unix(0, 0)
end := time.Unix(61, 0)
interval := time.Second
// We expect the value to be 0 for t=0s to t=59s (inclusive), then 60 for t=60s and t=61s.
expectedPoints := []promql.FPoint{}
for t := 0; t <= 59; t++ {
expectedPoints = append(expectedPoints, promql.FPoint{F: 0, T: int64(t * 1000)})
}
expectedPoints = append(
expectedPoints,
promql.FPoint{F: 60, T: 60_000},
promql.FPoint{F: 60, T: 61_000},
)
expectedResult := promql.Matrix{
promql.Series{
Floats: expectedPoints,
Metric: labels.EmptyLabels(),
},
}
qry, err := engine.NewRangeQuery(context.Background(), storage, nil, query, start, end, interval)
require.NoError(t, err)
res := qry.Exec(context.Background())
require.NoError(t, res.Err)
testutil.RequireEqual(t, expectedResult, res.Value)
}
type FakeQueryLogger struct {
closed bool
logs []interface{}
@ -3061,167 +3020,6 @@ func TestEngineOptsValidation(t *testing.T) {
}
}
func TestRangeQuery(t *testing.T) {
cases := []struct {
Name string
Load string
Query string
Result parser.Value
Start time.Time
End time.Time
Interval time.Duration
}{
{
Name: "sum_over_time with all values",
Load: `load 30s
bar 0 1 10 100 1000`,
Query: "sum_over_time(bar[30s])",
Result: promql.Matrix{
promql.Series{
Floats: []promql.FPoint{{F: 0, T: 0}, {F: 11, T: 60000}, {F: 1100, T: 120000}},
Metric: labels.EmptyLabels(),
},
},
Start: time.Unix(0, 0),
End: time.Unix(120, 0),
Interval: 60 * time.Second,
},
{
Name: "sum_over_time with trailing values",
Load: `load 30s
bar 0 1 10 100 1000 0 0 0 0`,
Query: "sum_over_time(bar[30s])",
Result: promql.Matrix{
promql.Series{
Floats: []promql.FPoint{{F: 0, T: 0}, {F: 11, T: 60000}, {F: 1100, T: 120000}},
Metric: labels.EmptyLabels(),
},
},
Start: time.Unix(0, 0),
End: time.Unix(120, 0),
Interval: 60 * time.Second,
},
{
Name: "sum_over_time with all values long",
Load: `load 30s
bar 0 1 10 100 1000 10000 100000 1000000 10000000`,
Query: "sum_over_time(bar[30s])",
Result: promql.Matrix{
promql.Series{
Floats: []promql.FPoint{{F: 0, T: 0}, {F: 11, T: 60000}, {F: 1100, T: 120000}, {F: 110000, T: 180000}, {F: 11000000, T: 240000}},
Metric: labels.EmptyLabels(),
},
},
Start: time.Unix(0, 0),
End: time.Unix(240, 0),
Interval: 60 * time.Second,
},
{
Name: "sum_over_time with all values random",
Load: `load 30s
bar 5 17 42 2 7 905 51`,
Query: "sum_over_time(bar[30s])",
Result: promql.Matrix{
promql.Series{
Floats: []promql.FPoint{{F: 5, T: 0}, {F: 59, T: 60000}, {F: 9, T: 120000}, {F: 956, T: 180000}},
Metric: labels.EmptyLabels(),
},
},
Start: time.Unix(0, 0),
End: time.Unix(180, 0),
Interval: 60 * time.Second,
},
{
Name: "metric query",
Load: `load 30s
metric 1+1x4`,
Query: "metric",
Result: promql.Matrix{
promql.Series{
Floats: []promql.FPoint{{F: 1, T: 0}, {F: 3, T: 60000}, {F: 5, T: 120000}},
Metric: labels.FromStrings("__name__", "metric"),
},
},
Start: time.Unix(0, 0),
End: time.Unix(120, 0),
Interval: 1 * time.Minute,
},
{
Name: "metric query with trailing values",
Load: `load 30s
metric 1+1x8`,
Query: "metric",
Result: promql.Matrix{
promql.Series{
Floats: []promql.FPoint{{F: 1, T: 0}, {F: 3, T: 60000}, {F: 5, T: 120000}},
Metric: labels.FromStrings("__name__", "metric"),
},
},
Start: time.Unix(0, 0),
End: time.Unix(120, 0),
Interval: 1 * time.Minute,
},
{
Name: "short-circuit",
Load: `load 30s
foo{job="1"} 1+1x4
bar{job="2"} 1+1x4`,
Query: `foo > 2 or bar`,
Result: promql.Matrix{
promql.Series{
Floats: []promql.FPoint{{F: 1, T: 0}, {F: 3, T: 60000}, {F: 5, T: 120000}},
Metric: labels.FromStrings(
"__name__", "bar",
"job", "2",
),
},
promql.Series{
Floats: []promql.FPoint{{F: 3, T: 60000}, {F: 5, T: 120000}},
Metric: labels.FromStrings(
"__name__", "foo",
"job", "1",
),
},
},
Start: time.Unix(0, 0),
End: time.Unix(120, 0),
Interval: 1 * time.Minute,
},
{
Name: "drop-metric-name",
Load: `load 30s
requests{job="1", __address__="bar"} 100`,
Query: `requests * 2`,
Result: promql.Matrix{
promql.Series{
Floats: []promql.FPoint{{F: 200, T: 0}, {F: 200, T: 60000}, {F: 200, T: 120000}},
Metric: labels.FromStrings(
"__address__", "bar",
"job", "1",
),
},
},
Start: time.Unix(0, 0),
End: time.Unix(120, 0),
Interval: 1 * time.Minute,
},
}
for _, c := range cases {
t.Run(c.Name, func(t *testing.T) {
engine := newTestEngine()
storage := promqltest.LoadedStorage(t, c.Load)
t.Cleanup(func() { storage.Close() })
qry, err := engine.NewRangeQuery(context.Background(), storage, nil, c.Query, c.Start, c.End, c.Interval)
require.NoError(t, err)
res := qry.Exec(context.Background())
require.NoError(t, res.Err)
testutil.RequireEqual(t, c.Result, res.Value)
})
}
}
func TestInstantQueryWithRangeVectorSelector(t *testing.T) {
engine := newTestEngine()

8
promql/promqltest/testdata/functions.test vendored
View File

@ -1213,3 +1213,11 @@ eval instant at 5m log10(exp_root_log - 20)
{l="y"} -Inf
clear
# Test that timestamp() handles the scenario where there are more steps than samples.
load 1m
metric 0+1x1000
# We expect the value to be 0 for t=0s to t=59s (inclusive), then 60 for t=60s and t=61s.
eval range from 0 to 61s step 1s timestamp(metric)
{} 0x59 60 60

73
promql/promqltest/testdata/range_queries.test vendored Normal file
View File

@ -0,0 +1,73 @@
# sum_over_time with all values
load 30s
bar 0 1 10 100 1000
eval range from 0 to 2m step 1m sum_over_time(bar[30s])
{} 0 11 1100
clear
# sum_over_time with trailing values
load 30s
bar 0 1 10 100 1000 0 0 0 0
eval range from 0 to 2m step 1m sum_over_time(bar[30s])
{} 0 11 1100
clear
# sum_over_time with all values long
load 30s
bar 0 1 10 100 1000 10000 100000 1000000 10000000
eval range from 0 to 4m step 1m sum_over_time(bar[30s])
{} 0 11 1100 110000 11000000
clear
# sum_over_time with all values random
load 30s
bar 5 17 42 2 7 905 51
eval range from 0 to 3m step 1m sum_over_time(bar[30s])
{} 5 59 9 956
clear
# metric query
load 30s
metric 1+1x4
eval range from 0 to 2m step 1m metric
metric 1 3 5
clear
# metric query with trailing values
load 30s
metric 1+1x8
eval range from 0 to 2m step 1m metric
metric 1 3 5
clear
# short-circuit
load 30s
foo{job="1"} 1+1x4
bar{job="2"} 1+1x4
eval range from 0 to 2m step 1m foo > 2 or bar
foo{job="1"} _ 3 5
bar{job="2"} 1 3 5
clear
# Drop metric name
load 30s
requests{job="1", __address__="bar"} 100
eval range from 0 to 2m step 1m requests * 2
{job="1", __address__="bar"} 200 200 200
clear