Add comments to the sort by label functions

Signed-off-by: suntala <arati.rana@grafana.com>
This commit is contained in:
suntala 2024-08-20 20:40:55 +02:00
parent 532904a1d6
commit 8e82ac8d2b

View file

@ -406,17 +406,22 @@ func funcSortDesc(vals []parser.Value, args parser.Expressions, enh *EvalNodeHel
// === sort_by_label(vector parser.ValueTypeVector, label parser.ValueTypeString...) (Vector, Annotations) ===
func funcSortByLabel(vals []parser.Value, args parser.Expressions, enh *EvalNodeHelper) (Vector, annotations.Annotations) {
// First, sort by the full label set. This ensures a consistent ordering in case sorting by the
// labels provided as arguments is not conclusive.
slices.SortFunc(vals[0].(Vector), func(a, b Sample) int {
return labels.Compare(a.Metric, b.Metric)
})
labels := stringSliceFromArgs(args[1:])
// Next, sort by the labels provided as arguments.
slices.SortFunc(vals[0].(Vector), func(a, b Sample) int {
// Iterate over each given label
// Iterate over each given label.
for _, label := range labels {
lv1 := a.Metric.Get(label)
lv2 := b.Metric.Get(label)
// If we encounter multiple samples with the same label values, the sorting which was
// performed in the first step will act as a "tie breaker".
if lv1 == lv2 {
continue
}
@ -436,17 +441,22 @@ func funcSortByLabel(vals []parser.Value, args parser.Expressions, enh *EvalNode
// === sort_by_label_desc(vector parser.ValueTypeVector, label parser.ValueTypeString...) (Vector, Annotations) ===
func funcSortByLabelDesc(vals []parser.Value, args parser.Expressions, enh *EvalNodeHelper) (Vector, annotations.Annotations) {
// First, sort by the full label set. This ensures a consistent ordering in case sorting by the
// labels provided as arguments is not conclusive.
slices.SortFunc(vals[0].(Vector), func(a, b Sample) int {
return labels.Compare(b.Metric, a.Metric)
})
labels := stringSliceFromArgs(args[1:])
// Next, sort by the labels provided as arguments.
slices.SortFunc(vals[0].(Vector), func(a, b Sample) int {
// Iterate over each given label
// Iterate over each given label.
for _, label := range labels {
lv1 := a.Metric.Get(label)
lv2 := b.Metric.Get(label)
// If we encounter multiple samples with the same label values, the sorting which was
// performed in the first step will act as a "tie breaker".
if lv1 == lv2 {
continue
}