VictoriaMetrics/app/vmalert/rule/recording.go
Dmytro Kozlov 935bec447b
app/vmalert: replace error metrics for gauges with counter metrics (#5217)
See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5160

Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: hagen1778 <roman@victoriametrics.com>
2023-12-06 19:39:35 +01:00

213 lines
5.5 KiB
Go

package rule
import (
"context"
"fmt"
"sort"
"strings"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmalert/config"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmalert/datasource"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmalert/utils"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal"
)
// RecordingRule is a Rule that supposed
// to evaluate configured Expression and
// return TimeSeries as result.
type RecordingRule struct {
Type config.Type
RuleID uint64
Name string
Expr string
Labels map[string]string
GroupID uint64
GroupName string
File string
q datasource.Querier
// state stores recent state changes
// during evaluations
state *ruleState
metrics *recordingRuleMetrics
}
type recordingRuleMetrics struct {
errors *utils.Counter
samples *utils.Gauge
}
// String implements Stringer interface
func (rr *RecordingRule) String() string {
return rr.Name
}
// ID returns unique Rule ID
// within the parent Group.
func (rr *RecordingRule) ID() uint64 {
return rr.RuleID
}
// NewRecordingRule creates a new RecordingRule
func NewRecordingRule(qb datasource.QuerierBuilder, group *Group, cfg config.Rule) *RecordingRule {
rr := &RecordingRule{
Type: group.Type,
RuleID: cfg.ID,
Name: cfg.Record,
Expr: cfg.Expr,
Labels: cfg.Labels,
GroupID: group.ID(),
GroupName: group.Name,
File: group.File,
metrics: &recordingRuleMetrics{},
q: qb.BuildWithParams(datasource.QuerierParams{
DataSourceType: group.Type.String(),
EvaluationInterval: group.Interval,
QueryParams: group.Params,
Headers: group.Headers,
}),
}
entrySize := *ruleUpdateEntriesLimit
if cfg.UpdateEntriesLimit != nil {
entrySize = *cfg.UpdateEntriesLimit
}
if entrySize < 1 {
entrySize = 1
}
rr.state = &ruleState{
entries: make([]StateEntry, entrySize),
}
labels := fmt.Sprintf(`recording=%q, group=%q, file=%q, id="%d"`, rr.Name, group.Name, group.File, rr.ID())
rr.metrics.errors = utils.GetOrCreateCounter(fmt.Sprintf(`vmalert_recording_rules_errors_total{%s}`, labels))
rr.metrics.samples = utils.GetOrCreateGauge(fmt.Sprintf(`vmalert_recording_rules_last_evaluation_samples{%s}`, labels),
func() float64 {
e := rr.state.getLast()
return float64(e.Samples)
})
return rr
}
// close unregisters rule metrics
func (rr *RecordingRule) close() {
rr.metrics.errors.Unregister()
rr.metrics.samples.Unregister()
}
// execRange executes recording rule on the given time range similarly to Exec.
// It doesn't update internal states of the Rule and meant to be used just
// to get time series for backfilling.
func (rr *RecordingRule) execRange(ctx context.Context, start, end time.Time) ([]prompbmarshal.TimeSeries, error) {
res, err := rr.q.QueryRange(ctx, rr.Expr, start, end)
if err != nil {
return nil, err
}
duplicates := make(map[string]struct{}, len(res.Data))
var tss []prompbmarshal.TimeSeries
for _, s := range res.Data {
ts := rr.toTimeSeries(s)
key := stringifyLabels(ts)
if _, ok := duplicates[key]; ok {
return nil, fmt.Errorf("original metric %v; resulting labels %q: %w", s.Labels, key, errDuplicate)
}
duplicates[key] = struct{}{}
tss = append(tss, ts)
}
return tss, nil
}
// exec executes RecordingRule expression via the given Querier.
func (rr *RecordingRule) exec(ctx context.Context, ts time.Time, limit int) ([]prompbmarshal.TimeSeries, error) {
start := time.Now()
res, req, err := rr.q.Query(ctx, rr.Expr, ts)
curState := StateEntry{
Time: start,
At: ts,
Duration: time.Since(start),
Samples: len(res.Data),
SeriesFetched: res.SeriesFetched,
Curl: requestToCurl(req),
}
defer func() {
rr.state.add(curState)
if curState.Err != nil {
rr.metrics.errors.Inc()
}
}()
if err != nil {
curState.Err = fmt.Errorf("failed to execute query %q: %w", rr.Expr, err)
return nil, curState.Err
}
qMetrics := res.Data
numSeries := len(qMetrics)
if limit > 0 && numSeries > limit {
curState.Err = fmt.Errorf("exec exceeded limit of %d with %d series", limit, numSeries)
return nil, curState.Err
}
duplicates := make(map[string]struct{}, len(qMetrics))
var tss []prompbmarshal.TimeSeries
for _, r := range qMetrics {
ts := rr.toTimeSeries(r)
key := stringifyLabels(ts)
if _, ok := duplicates[key]; ok {
curState.Err = fmt.Errorf("original metric %v; resulting labels %q: %w", r, key, errDuplicate)
return nil, curState.Err
}
duplicates[key] = struct{}{}
tss = append(tss, ts)
}
return tss, nil
}
func stringifyLabels(ts prompbmarshal.TimeSeries) string {
labels := ts.Labels
if len(labels) > 1 {
sort.Slice(labels, func(i, j int) bool {
return labels[i].Name < labels[j].Name
})
}
b := strings.Builder{}
for i, l := range labels {
b.WriteString(l.Name)
b.WriteString("=")
b.WriteString(l.Value)
if i != len(labels)-1 {
b.WriteString(",")
}
}
return b.String()
}
func (rr *RecordingRule) toTimeSeries(m datasource.Metric) prompbmarshal.TimeSeries {
labels := make(map[string]string)
for _, l := range m.Labels {
labels[l.Name] = l.Value
}
labels["__name__"] = rr.Name
// override existing labels with configured ones
for k, v := range rr.Labels {
labels[k] = v
}
return newTimeSeries(m.Values, m.Timestamps, labels)
}
// updateWith copies all significant fields.
func (rr *RecordingRule) updateWith(r Rule) error {
nr, ok := r.(*RecordingRule)
if !ok {
return fmt.Errorf("BUG: attempt to update recroding rule with wrong type %#v", r)
}
rr.Expr = nr.Expr
rr.Labels = nr.Labels
rr.q = nr.q
return nil
}