mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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31ac507bee
It is better from the consistency point of view to set up rule types at group level where tenant config is set up.
215 lines
5.6 KiB
Go
215 lines
5.6 KiB
Go
package main
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import (
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"context"
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"fmt"
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"sort"
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"strings"
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"sync"
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"time"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmalert/config"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmalert/datasource"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal"
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"github.com/VictoriaMetrics/metrics"
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)
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// RecordingRule is a Rule that supposed
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// to evaluate configured Expression and
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// return TimeSeries as result.
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type RecordingRule struct {
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Type datasource.Type
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RuleID uint64
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Name string
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Expr string
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Labels map[string]string
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GroupID uint64
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q datasource.Querier
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// guard status fields
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mu sync.RWMutex
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// stores last moment of time Exec was called
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lastExecTime time.Time
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// stores last error that happened in Exec func
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// resets on every successful Exec
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// may be used as Health state
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lastExecError error
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// stores the number of samples returned during
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// the last evaluation
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lastExecSamples int
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metrics *recordingRuleMetrics
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}
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type recordingRuleMetrics struct {
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errors *gauge
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samples *gauge
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}
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// String implements Stringer interface
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func (rr *RecordingRule) String() string {
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return rr.Name
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}
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// ID returns unique Rule ID
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// within the parent Group.
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func (rr *RecordingRule) ID() uint64 {
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return rr.RuleID
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}
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func newRecordingRule(qb datasource.QuerierBuilder, group *Group, cfg config.Rule) *RecordingRule {
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rr := &RecordingRule{
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Type: group.Type,
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RuleID: cfg.ID,
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Name: cfg.Record,
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Expr: cfg.Expr,
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Labels: cfg.Labels,
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GroupID: group.ID(),
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metrics: &recordingRuleMetrics{},
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q: qb.BuildWithParams(datasource.QuerierParams{
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DataSourceType: &group.Type,
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EvaluationInterval: group.Interval,
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ExtraLabels: group.ExtraFilterLabels,
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}),
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}
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labels := fmt.Sprintf(`recording=%q, group=%q, id="%d"`, rr.Name, group.Name, rr.ID())
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rr.metrics.errors = getOrCreateGauge(fmt.Sprintf(`vmalert_recording_rules_error{%s}`, labels),
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func() float64 {
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rr.mu.RLock()
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defer rr.mu.RUnlock()
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if rr.lastExecError == nil {
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return 0
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}
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return 1
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})
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rr.metrics.samples = getOrCreateGauge(fmt.Sprintf(`vmalert_recording_rules_last_evaluation_samples{%s}`, labels),
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func() float64 {
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rr.mu.RLock()
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defer rr.mu.RUnlock()
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return float64(rr.lastExecSamples)
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})
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return rr
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}
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// Close unregisters rule metrics
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func (rr *RecordingRule) Close() {
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metrics.UnregisterMetric(rr.metrics.errors.name)
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metrics.UnregisterMetric(rr.metrics.samples.name)
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}
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// ExecRange executes recording rule on the given time range similarly to Exec.
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// It doesn't update internal states of the Rule and meant to be used just
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// to get time series for backfilling.
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func (rr *RecordingRule) ExecRange(ctx context.Context, start, end time.Time) ([]prompbmarshal.TimeSeries, error) {
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series, err := rr.q.QueryRange(ctx, rr.Expr, start, end)
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if err != nil {
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return nil, err
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}
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duplicates := make(map[string]struct{}, len(series))
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var tss []prompbmarshal.TimeSeries
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for _, s := range series {
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ts := rr.toTimeSeries(s)
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key := stringifyLabels(ts)
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if _, ok := duplicates[key]; ok {
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return nil, fmt.Errorf("original metric %v; resulting labels %q: %w", s.Labels, key, errDuplicate)
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}
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duplicates[key] = struct{}{}
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tss = append(tss, ts)
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}
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return tss, nil
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}
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// Exec executes RecordingRule expression via the given Querier.
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func (rr *RecordingRule) Exec(ctx context.Context) ([]prompbmarshal.TimeSeries, error) {
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qMetrics, err := rr.q.Query(ctx, rr.Expr)
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rr.mu.Lock()
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defer rr.mu.Unlock()
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rr.lastExecTime = time.Now()
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rr.lastExecError = err
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rr.lastExecSamples = len(qMetrics)
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if err != nil {
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return nil, fmt.Errorf("failed to execute query %q: %w", rr.Expr, err)
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}
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duplicates := make(map[string]struct{}, len(qMetrics))
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var tss []prompbmarshal.TimeSeries
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for _, r := range qMetrics {
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ts := rr.toTimeSeries(r)
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key := stringifyLabels(ts)
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if _, ok := duplicates[key]; ok {
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rr.lastExecError = errDuplicate
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return nil, fmt.Errorf("original metric %v; resulting labels %q: %w", r, key, errDuplicate)
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}
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duplicates[key] = struct{}{}
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tss = append(tss, ts)
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}
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return tss, nil
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}
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func stringifyLabels(ts prompbmarshal.TimeSeries) string {
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labels := ts.Labels
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if len(labels) > 1 {
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sort.Slice(labels, func(i, j int) bool {
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return labels[i].Name < labels[j].Name
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})
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}
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b := strings.Builder{}
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for i, l := range labels {
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b.WriteString(l.Name)
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b.WriteString("=")
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b.WriteString(l.Value)
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if i != len(labels)-1 {
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b.WriteString(",")
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}
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}
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return b.String()
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}
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func (rr *RecordingRule) toTimeSeries(m datasource.Metric) prompbmarshal.TimeSeries {
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labels := make(map[string]string)
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for _, l := range m.Labels {
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labels[l.Name] = l.Value
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}
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labels["__name__"] = rr.Name
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// override existing labels with configured ones
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for k, v := range rr.Labels {
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labels[k] = v
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}
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return newTimeSeries(m.Values, m.Timestamps, labels)
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}
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// UpdateWith copies all significant fields.
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func (rr *RecordingRule) UpdateWith(r Rule) error {
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nr, ok := r.(*RecordingRule)
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if !ok {
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return fmt.Errorf("BUG: attempt to update recroding rule with wrong type %#v", r)
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}
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rr.Expr = nr.Expr
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rr.Labels = nr.Labels
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rr.q = nr.q
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return nil
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}
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// RuleAPI returns Rule representation in form
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// of APIRecordingRule
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func (rr *RecordingRule) RuleAPI() APIRecordingRule {
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var lastErr string
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if rr.lastExecError != nil {
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lastErr = rr.lastExecError.Error()
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}
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return APIRecordingRule{
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// encode as strings to avoid rounding
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ID: fmt.Sprintf("%d", rr.ID()),
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GroupID: fmt.Sprintf("%d", rr.GroupID),
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Name: rr.Name,
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Type: rr.Type.String(),
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Expression: rr.Expr,
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LastError: lastErr,
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LastSamples: rr.lastExecSamples,
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LastExec: rr.lastExecTime,
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Labels: rr.Labels,
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}
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}
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