app/vmselect/promql: ignore grouping by destination label in count_values, since such a grouping is performed automatically

This commit is contained in:
Aliaksandr Valialkin 2019-09-04 19:48:16 +03:00
parent 2c2bd897dd
commit d0953e9f02
2 changed files with 120 additions and 0 deletions

View File

@ -353,6 +353,25 @@ func aggrFuncCountValues(afa *aggrFuncArg) ([]*timeseries, error) {
if err != nil {
return nil, err
}
// Remove dstLabel from grouping like Prometheus does.
modifier := &afa.ae.Modifier
switch strings.ToLower(modifier.Op) {
case "without":
modifier.Args = append(modifier.Args, dstLabel)
case "by":
dstArgs := modifier.Args[:0]
for _, arg := range modifier.Args {
if arg == dstLabel {
continue
}
dstArgs = append(dstArgs, arg)
}
modifier.Args = dstArgs
default:
// Do nothing
}
afe := func(tss []*timeseries) []*timeseries {
m := make(map[float64]bool)
for _, ts := range tss {

View File

@ -3900,6 +3900,107 @@ func TestExecSuccess(t *testing.T) {
resultExpected := []netstorage.Result{r1, r2, r3, r4, r5, r6}
f(q, resultExpected)
})
t.Run(`count_values by (xxx)`, func(t *testing.T) {
t.Parallel()
q := `count_values("xxx", label_set(10, "foo", "bar", "xxx", "aaa") or label_set(floor(time()/600), "foo", "bar", "baz", "xx")) by (xxx)`
r1 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{1, nan, nan, nan, nan, nan},
Timestamps: timestampsExpected,
}
r1.MetricName.Tags = []storage.Tag{
{
Key: []byte("xxx"),
Value: []byte("1"),
},
}
r2 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{nan, 1, 1, 1, nan, nan},
Timestamps: timestampsExpected,
}
r2.MetricName.Tags = []storage.Tag{
{
Key: []byte("xxx"),
Value: []byte("2"),
},
}
r3 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{nan, nan, nan, nan, 1, 1},
Timestamps: timestampsExpected,
}
r3.MetricName.Tags = []storage.Tag{
{
Key: []byte("xxx"),
Value: []byte("3"),
},
}
r4 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{1, 1, 1, 1, 1, 1},
Timestamps: timestampsExpected,
}
r4.MetricName.Tags = []storage.Tag{
{
Key: []byte("xxx"),
Value: []byte("10"),
},
}
resultExpected := []netstorage.Result{r1, r2, r3, r4}
f(q, resultExpected)
})
t.Run(`count_values without (baz)`, func(t *testing.T) {
t.Parallel()
q := `count_values("xxx", label_set(floor(time()/600), "foo", "bar")) without (baz)`
r1 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{1, nan, nan, nan, nan, nan},
Timestamps: timestampsExpected,
}
r1.MetricName.Tags = []storage.Tag{
{
Key: []byte("foo"),
Value: []byte("bar"),
},
{
Key: []byte("xxx"),
Value: []byte("1"),
},
}
r2 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{nan, 1, 1, 1, nan, nan},
Timestamps: timestampsExpected,
}
r2.MetricName.Tags = []storage.Tag{
{
Key: []byte("foo"),
Value: []byte("bar"),
},
{
Key: []byte("xxx"),
Value: []byte("2"),
},
}
r3 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{nan, nan, nan, nan, 1, 1},
Timestamps: timestampsExpected,
}
r3.MetricName.Tags = []storage.Tag{
{
Key: []byte("foo"),
Value: []byte("bar"),
},
{
Key: []byte("xxx"),
Value: []byte("3"),
},
}
resultExpected := []netstorage.Result{r1, r2, r3}
f(q, resultExpected)
})
}
func TestExecError(t *testing.T) {