prometheus/rules/manager.go
Alan Protasio 606ef33d91 Track and report Samples Queried per query
We always track total samples queried and add those to the standard set
of stats queries can report.

We also allow optionally tracking per-step samples queried. This must be
enabled both at the engine and query level to be tracked and rendered.
The engine flag is exposed via a Prometheus feature flag, while the
query flag is set when stats=all.

Co-authored-by: Alan Protasio <approtas@amazon.com>
Co-authored-by: Andrew Bloomgarden <blmgrdn@amazon.com>
Co-authored-by: Harkishen Singh <harkishensingh@hotmail.com>
Signed-off-by: Andrew Bloomgarden <blmgrdn@amazon.com>
2022-03-21 23:49:17 +01:00

1160 lines
33 KiB
Go

// Copyright 2013 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package rules
import (
"context"
html_template "html/template"
"math"
"net/url"
"sort"
"sync"
"time"
"github.com/go-kit/log"
"github.com/go-kit/log/level"
"github.com/pkg/errors"
"github.com/prometheus/client_golang/prometheus"
"github.com/prometheus/common/model"
"go.opentelemetry.io/otel"
"go.opentelemetry.io/otel/attribute"
"github.com/prometheus/prometheus/model/labels"
"github.com/prometheus/prometheus/model/rulefmt"
"github.com/prometheus/prometheus/model/timestamp"
"github.com/prometheus/prometheus/model/value"
"github.com/prometheus/prometheus/promql"
"github.com/prometheus/prometheus/promql/parser"
"github.com/prometheus/prometheus/storage"
)
// RuleHealth describes the health state of a rule.
type RuleHealth string
// The possible health states of a rule based on the last execution.
const (
HealthUnknown RuleHealth = "unknown"
HealthGood RuleHealth = "ok"
HealthBad RuleHealth = "err"
)
// Constants for instrumentation.
const namespace = "prometheus"
// Metrics for rule evaluation.
type Metrics struct {
EvalDuration prometheus.Summary
IterationDuration prometheus.Summary
IterationsMissed *prometheus.CounterVec
IterationsScheduled *prometheus.CounterVec
EvalTotal *prometheus.CounterVec
EvalFailures *prometheus.CounterVec
GroupInterval *prometheus.GaugeVec
GroupLastEvalTime *prometheus.GaugeVec
GroupLastDuration *prometheus.GaugeVec
GroupRules *prometheus.GaugeVec
GroupSamples *prometheus.GaugeVec
}
// NewGroupMetrics creates a new instance of Metrics and registers it with the provided registerer,
// if not nil.
func NewGroupMetrics(reg prometheus.Registerer) *Metrics {
m := &Metrics{
EvalDuration: prometheus.NewSummary(
prometheus.SummaryOpts{
Namespace: namespace,
Name: "rule_evaluation_duration_seconds",
Help: "The duration for a rule to execute.",
Objectives: map[float64]float64{0.5: 0.05, 0.9: 0.01, 0.99: 0.001},
}),
IterationDuration: prometheus.NewSummary(prometheus.SummaryOpts{
Namespace: namespace,
Name: "rule_group_duration_seconds",
Help: "The duration of rule group evaluations.",
Objectives: map[float64]float64{0.01: 0.001, 0.05: 0.005, 0.5: 0.05, 0.90: 0.01, 0.99: 0.001},
}),
IterationsMissed: prometheus.NewCounterVec(
prometheus.CounterOpts{
Namespace: namespace,
Name: "rule_group_iterations_missed_total",
Help: "The total number of rule group evaluations missed due to slow rule group evaluation.",
},
[]string{"rule_group"},
),
IterationsScheduled: prometheus.NewCounterVec(
prometheus.CounterOpts{
Namespace: namespace,
Name: "rule_group_iterations_total",
Help: "The total number of scheduled rule group evaluations, whether executed or missed.",
},
[]string{"rule_group"},
),
EvalTotal: prometheus.NewCounterVec(
prometheus.CounterOpts{
Namespace: namespace,
Name: "rule_evaluations_total",
Help: "The total number of rule evaluations.",
},
[]string{"rule_group"},
),
EvalFailures: prometheus.NewCounterVec(
prometheus.CounterOpts{
Namespace: namespace,
Name: "rule_evaluation_failures_total",
Help: "The total number of rule evaluation failures.",
},
[]string{"rule_group"},
),
GroupInterval: prometheus.NewGaugeVec(
prometheus.GaugeOpts{
Namespace: namespace,
Name: "rule_group_interval_seconds",
Help: "The interval of a rule group.",
},
[]string{"rule_group"},
),
GroupLastEvalTime: prometheus.NewGaugeVec(
prometheus.GaugeOpts{
Namespace: namespace,
Name: "rule_group_last_evaluation_timestamp_seconds",
Help: "The timestamp of the last rule group evaluation in seconds.",
},
[]string{"rule_group"},
),
GroupLastDuration: prometheus.NewGaugeVec(
prometheus.GaugeOpts{
Namespace: namespace,
Name: "rule_group_last_duration_seconds",
Help: "The duration of the last rule group evaluation.",
},
[]string{"rule_group"},
),
GroupRules: prometheus.NewGaugeVec(
prometheus.GaugeOpts{
Namespace: namespace,
Name: "rule_group_rules",
Help: "The number of rules.",
},
[]string{"rule_group"},
),
GroupSamples: prometheus.NewGaugeVec(
prometheus.GaugeOpts{
Namespace: namespace,
Name: "rule_group_last_evaluation_samples",
Help: "The number of samples returned during the last rule group evaluation.",
},
[]string{"rule_group"},
),
}
if reg != nil {
reg.MustRegister(
m.EvalDuration,
m.IterationDuration,
m.IterationsMissed,
m.IterationsScheduled,
m.EvalTotal,
m.EvalFailures,
m.GroupInterval,
m.GroupLastEvalTime,
m.GroupLastDuration,
m.GroupRules,
m.GroupSamples,
)
}
return m
}
// QueryFunc processes PromQL queries.
type QueryFunc func(ctx context.Context, q string, t time.Time) (promql.Vector, error)
// EngineQueryFunc returns a new query function that executes instant queries against
// the given engine.
// It converts scalar into vector results.
func EngineQueryFunc(engine *promql.Engine, q storage.Queryable) QueryFunc {
return func(ctx context.Context, qs string, t time.Time) (promql.Vector, error) {
q, err := engine.NewInstantQuery(q, nil, qs, t)
if err != nil {
return nil, err
}
res := q.Exec(ctx)
if res.Err != nil {
return nil, res.Err
}
switch v := res.Value.(type) {
case promql.Vector:
return v, nil
case promql.Scalar:
return promql.Vector{promql.Sample{
Point: promql.Point(v),
Metric: labels.Labels{},
}}, nil
default:
return nil, errors.New("rule result is not a vector or scalar")
}
}
}
// A Rule encapsulates a vector expression which is evaluated at a specified
// interval and acted upon (currently either recorded or used for alerting).
type Rule interface {
Name() string
// Labels of the rule.
Labels() labels.Labels
// eval evaluates the rule, including any associated recording or alerting actions.
Eval(context.Context, time.Time, QueryFunc, *url.URL, int) (promql.Vector, error)
// String returns a human-readable string representation of the rule.
String() string
// Query returns the rule query expression.
Query() parser.Expr
// SetLastErr sets the current error experienced by the rule.
SetLastError(error)
// LastErr returns the last error experienced by the rule.
LastError() error
// SetHealth sets the current health of the rule.
SetHealth(RuleHealth)
// Health returns the current health of the rule.
Health() RuleHealth
SetEvaluationDuration(time.Duration)
// GetEvaluationDuration returns last evaluation duration.
// NOTE: Used dynamically by rules.html template.
GetEvaluationDuration() time.Duration
SetEvaluationTimestamp(time.Time)
// GetEvaluationTimestamp returns last evaluation timestamp.
// NOTE: Used dynamically by rules.html template.
GetEvaluationTimestamp() time.Time
// HTMLSnippet returns a human-readable string representation of the rule,
// decorated with HTML elements for use the web frontend.
HTMLSnippet(pathPrefix string) html_template.HTML
}
// Group is a set of rules that have a logical relation.
type Group struct {
name string
file string
interval time.Duration
limit int
rules []Rule
seriesInPreviousEval []map[string]labels.Labels // One per Rule.
staleSeries []labels.Labels
opts *ManagerOptions
mtx sync.Mutex
evaluationTime time.Duration
lastEvaluation time.Time
shouldRestore bool
markStale bool
done chan struct{}
terminated chan struct{}
managerDone chan struct{}
logger log.Logger
metrics *Metrics
}
type GroupOptions struct {
Name, File string
Interval time.Duration
Limit int
Rules []Rule
ShouldRestore bool
Opts *ManagerOptions
done chan struct{}
}
// NewGroup makes a new Group with the given name, options, and rules.
func NewGroup(o GroupOptions) *Group {
metrics := o.Opts.Metrics
if metrics == nil {
metrics = NewGroupMetrics(o.Opts.Registerer)
}
key := GroupKey(o.File, o.Name)
metrics.IterationsMissed.WithLabelValues(key)
metrics.IterationsScheduled.WithLabelValues(key)
metrics.EvalTotal.WithLabelValues(key)
metrics.EvalFailures.WithLabelValues(key)
metrics.GroupLastEvalTime.WithLabelValues(key)
metrics.GroupLastDuration.WithLabelValues(key)
metrics.GroupRules.WithLabelValues(key).Set(float64(len(o.Rules)))
metrics.GroupSamples.WithLabelValues(key)
metrics.GroupInterval.WithLabelValues(key).Set(o.Interval.Seconds())
return &Group{
name: o.Name,
file: o.File,
interval: o.Interval,
limit: o.Limit,
rules: o.Rules,
shouldRestore: o.ShouldRestore,
opts: o.Opts,
seriesInPreviousEval: make([]map[string]labels.Labels, len(o.Rules)),
done: make(chan struct{}),
managerDone: o.done,
terminated: make(chan struct{}),
logger: log.With(o.Opts.Logger, "file", o.File, "group", o.Name),
metrics: metrics,
}
}
// Name returns the group name.
func (g *Group) Name() string { return g.name }
// File returns the group's file.
func (g *Group) File() string { return g.file }
// Rules returns the group's rules.
func (g *Group) Rules() []Rule { return g.rules }
// Interval returns the group's interval.
func (g *Group) Interval() time.Duration { return g.interval }
// Limit returns the group's limit.
func (g *Group) Limit() int { return g.limit }
func (g *Group) run(ctx context.Context) {
defer close(g.terminated)
// Wait an initial amount to have consistently slotted intervals.
evalTimestamp := g.EvalTimestamp(time.Now().UnixNano()).Add(g.interval)
select {
case <-time.After(time.Until(evalTimestamp)):
case <-g.done:
return
}
ctx = promql.NewOriginContext(ctx, map[string]interface{}{
"ruleGroup": map[string]string{
"file": g.File(),
"name": g.Name(),
},
})
iter := func() {
g.metrics.IterationsScheduled.WithLabelValues(GroupKey(g.file, g.name)).Inc()
start := time.Now()
g.Eval(ctx, evalTimestamp)
timeSinceStart := time.Since(start)
g.metrics.IterationDuration.Observe(timeSinceStart.Seconds())
g.setEvaluationTime(timeSinceStart)
g.setLastEvaluation(start)
}
// The assumption here is that since the ticker was started after having
// waited for `evalTimestamp` to pass, the ticks will trigger soon
// after each `evalTimestamp + N * g.interval` occurrence.
tick := time.NewTicker(g.interval)
defer tick.Stop()
defer func() {
if !g.markStale {
return
}
go func(now time.Time) {
for _, rule := range g.seriesInPreviousEval {
for _, r := range rule {
g.staleSeries = append(g.staleSeries, r)
}
}
// That can be garbage collected at this point.
g.seriesInPreviousEval = nil
// Wait for 2 intervals to give the opportunity to renamed rules
// to insert new series in the tsdb. At this point if there is a
// renamed rule, it should already be started.
select {
case <-g.managerDone:
case <-time.After(2 * g.interval):
g.cleanupStaleSeries(ctx, now)
}
}(time.Now())
}()
iter()
if g.shouldRestore {
// If we have to restore, we wait for another Eval to finish.
// The reason behind this is, during first eval (or before it)
// we might not have enough data scraped, and recording rules would not
// have updated the latest values, on which some alerts might depend.
select {
case <-g.done:
return
case <-tick.C:
missed := (time.Since(evalTimestamp) / g.interval) - 1
if missed > 0 {
g.metrics.IterationsMissed.WithLabelValues(GroupKey(g.file, g.name)).Add(float64(missed))
g.metrics.IterationsScheduled.WithLabelValues(GroupKey(g.file, g.name)).Add(float64(missed))
}
evalTimestamp = evalTimestamp.Add((missed + 1) * g.interval)
iter()
}
g.RestoreForState(time.Now())
g.shouldRestore = false
}
for {
select {
case <-g.done:
return
default:
select {
case <-g.done:
return
case <-tick.C:
missed := (time.Since(evalTimestamp) / g.interval) - 1
if missed > 0 {
g.metrics.IterationsMissed.WithLabelValues(GroupKey(g.file, g.name)).Add(float64(missed))
g.metrics.IterationsScheduled.WithLabelValues(GroupKey(g.file, g.name)).Add(float64(missed))
}
evalTimestamp = evalTimestamp.Add((missed + 1) * g.interval)
iter()
}
}
}
}
func (g *Group) stop() {
close(g.done)
<-g.terminated
}
func (g *Group) hash() uint64 {
l := labels.New(
labels.Label{Name: "name", Value: g.name},
labels.Label{Name: "file", Value: g.file},
)
return l.Hash()
}
// AlertingRules returns the list of the group's alerting rules.
func (g *Group) AlertingRules() []*AlertingRule {
g.mtx.Lock()
defer g.mtx.Unlock()
var alerts []*AlertingRule
for _, rule := range g.rules {
if alertingRule, ok := rule.(*AlertingRule); ok {
alerts = append(alerts, alertingRule)
}
}
sort.Slice(alerts, func(i, j int) bool {
return alerts[i].State() > alerts[j].State() ||
(alerts[i].State() == alerts[j].State() &&
alerts[i].Name() < alerts[j].Name())
})
return alerts
}
// HasAlertingRules returns true if the group contains at least one AlertingRule.
func (g *Group) HasAlertingRules() bool {
g.mtx.Lock()
defer g.mtx.Unlock()
for _, rule := range g.rules {
if _, ok := rule.(*AlertingRule); ok {
return true
}
}
return false
}
// GetEvaluationTime returns the time in seconds it took to evaluate the rule group.
func (g *Group) GetEvaluationTime() time.Duration {
g.mtx.Lock()
defer g.mtx.Unlock()
return g.evaluationTime
}
// setEvaluationTime sets the time in seconds the last evaluation took.
func (g *Group) setEvaluationTime(dur time.Duration) {
g.metrics.GroupLastDuration.WithLabelValues(GroupKey(g.file, g.name)).Set(dur.Seconds())
g.mtx.Lock()
defer g.mtx.Unlock()
g.evaluationTime = dur
}
// GetLastEvaluation returns the time the last evaluation of the rule group took place.
func (g *Group) GetLastEvaluation() time.Time {
g.mtx.Lock()
defer g.mtx.Unlock()
return g.lastEvaluation
}
// setLastEvaluation updates evaluationTimestamp to the timestamp of when the rule group was last evaluated.
func (g *Group) setLastEvaluation(ts time.Time) {
g.metrics.GroupLastEvalTime.WithLabelValues(GroupKey(g.file, g.name)).Set(float64(ts.UnixNano()) / 1e9)
g.mtx.Lock()
defer g.mtx.Unlock()
g.lastEvaluation = ts
}
// EvalTimestamp returns the immediately preceding consistently slotted evaluation time.
func (g *Group) EvalTimestamp(startTime int64) time.Time {
var (
offset = int64(g.hash() % uint64(g.interval))
adjNow = startTime - offset
base = adjNow - (adjNow % int64(g.interval))
)
return time.Unix(0, base+offset).UTC()
}
func nameAndLabels(rule Rule) string {
return rule.Name() + rule.Labels().String()
}
// CopyState copies the alerting rule and staleness related state from the given group.
//
// Rules are matched based on their name and labels. If there are duplicates, the
// first is matched with the first, second with the second etc.
func (g *Group) CopyState(from *Group) {
g.evaluationTime = from.evaluationTime
g.lastEvaluation = from.lastEvaluation
ruleMap := make(map[string][]int, len(from.rules))
for fi, fromRule := range from.rules {
nameAndLabels := nameAndLabels(fromRule)
l := ruleMap[nameAndLabels]
ruleMap[nameAndLabels] = append(l, fi)
}
for i, rule := range g.rules {
nameAndLabels := nameAndLabels(rule)
indexes := ruleMap[nameAndLabels]
if len(indexes) == 0 {
continue
}
fi := indexes[0]
g.seriesInPreviousEval[i] = from.seriesInPreviousEval[fi]
ruleMap[nameAndLabels] = indexes[1:]
ar, ok := rule.(*AlertingRule)
if !ok {
continue
}
far, ok := from.rules[fi].(*AlertingRule)
if !ok {
continue
}
for fp, a := range far.active {
ar.active[fp] = a
}
}
// Handle deleted and unmatched duplicate rules.
g.staleSeries = from.staleSeries
for fi, fromRule := range from.rules {
nameAndLabels := nameAndLabels(fromRule)
l := ruleMap[nameAndLabels]
if len(l) != 0 {
for _, series := range from.seriesInPreviousEval[fi] {
g.staleSeries = append(g.staleSeries, series)
}
}
}
}
// Eval runs a single evaluation cycle in which all rules are evaluated sequentially.
func (g *Group) Eval(ctx context.Context, ts time.Time) {
var samplesTotal float64
for i, rule := range g.rules {
select {
case <-g.done:
return
default:
}
func(i int, rule Rule) {
ctx, sp := otel.Tracer("").Start(ctx, "rule")
sp.SetAttributes(attribute.String("name", rule.Name()))
defer func(t time.Time) {
sp.End()
since := time.Since(t)
g.metrics.EvalDuration.Observe(since.Seconds())
rule.SetEvaluationDuration(since)
rule.SetEvaluationTimestamp(t)
}(time.Now())
g.metrics.EvalTotal.WithLabelValues(GroupKey(g.File(), g.Name())).Inc()
vector, err := rule.Eval(ctx, ts, g.opts.QueryFunc, g.opts.ExternalURL, g.Limit())
if err != nil {
rule.SetHealth(HealthBad)
rule.SetLastError(err)
g.metrics.EvalFailures.WithLabelValues(GroupKey(g.File(), g.Name())).Inc()
// Canceled queries are intentional termination of queries. This normally
// happens on shutdown and thus we skip logging of any errors here.
if _, ok := err.(promql.ErrQueryCanceled); !ok {
level.Warn(g.logger).Log("name", rule.Name(), "index", i, "msg", "Evaluating rule failed", "rule", rule, "err", err)
}
return
}
rule.SetHealth(HealthGood)
rule.SetLastError(nil)
samplesTotal += float64(len(vector))
if ar, ok := rule.(*AlertingRule); ok {
ar.sendAlerts(ctx, ts, g.opts.ResendDelay, g.interval, g.opts.NotifyFunc)
}
var (
numOutOfOrder = 0
numDuplicates = 0
)
app := g.opts.Appendable.Appender(ctx)
seriesReturned := make(map[string]labels.Labels, len(g.seriesInPreviousEval[i]))
defer func() {
if err := app.Commit(); err != nil {
rule.SetHealth(HealthBad)
rule.SetLastError(err)
g.metrics.EvalFailures.WithLabelValues(GroupKey(g.File(), g.Name())).Inc()
level.Warn(g.logger).Log("name", rule.Name(), "index", i, "msg", "Rule sample appending failed", "err", err)
return
}
g.seriesInPreviousEval[i] = seriesReturned
}()
for _, s := range vector {
if _, err := app.Append(0, s.Metric, s.T, s.V); err != nil {
rule.SetHealth(HealthBad)
rule.SetLastError(err)
switch errors.Cause(err) {
case storage.ErrOutOfOrderSample:
numOutOfOrder++
level.Debug(g.logger).Log("name", rule.Name(), "index", i, "msg", "Rule evaluation result discarded", "err", err, "sample", s)
case storage.ErrDuplicateSampleForTimestamp:
numDuplicates++
level.Debug(g.logger).Log("name", rule.Name(), "index", i, "msg", "Rule evaluation result discarded", "err", err, "sample", s)
default:
level.Warn(g.logger).Log("name", rule.Name(), "index", i, "msg", "Rule evaluation result discarded", "err", err, "sample", s)
}
} else {
buf := [1024]byte{}
seriesReturned[string(s.Metric.Bytes(buf[:]))] = s.Metric
}
}
if numOutOfOrder > 0 {
level.Warn(g.logger).Log("name", rule.Name(), "index", i, "msg", "Error on ingesting out-of-order result from rule evaluation", "numDropped", numOutOfOrder)
}
if numDuplicates > 0 {
level.Warn(g.logger).Log("name", rule.Name(), "index", i, "msg", "Error on ingesting results from rule evaluation with different value but same timestamp", "numDropped", numDuplicates)
}
for metric, lset := range g.seriesInPreviousEval[i] {
if _, ok := seriesReturned[metric]; !ok {
// Series no longer exposed, mark it stale.
_, err = app.Append(0, lset, timestamp.FromTime(ts), math.Float64frombits(value.StaleNaN))
switch errors.Cause(err) {
case nil:
case storage.ErrOutOfOrderSample, storage.ErrDuplicateSampleForTimestamp:
// Do not count these in logging, as this is expected if series
// is exposed from a different rule.
default:
level.Warn(g.logger).Log("name", rule.Name(), "index", i, "msg", "Adding stale sample failed", "sample", lset.String(), "err", err)
}
}
}
}(i, rule)
}
if g.metrics != nil {
g.metrics.GroupSamples.WithLabelValues(GroupKey(g.File(), g.Name())).Set(samplesTotal)
}
g.cleanupStaleSeries(ctx, ts)
}
func (g *Group) cleanupStaleSeries(ctx context.Context, ts time.Time) {
if len(g.staleSeries) == 0 {
return
}
app := g.opts.Appendable.Appender(ctx)
for _, s := range g.staleSeries {
// Rule that produced series no longer configured, mark it stale.
_, err := app.Append(0, s, timestamp.FromTime(ts), math.Float64frombits(value.StaleNaN))
switch errors.Cause(err) {
case nil:
case storage.ErrOutOfOrderSample, storage.ErrDuplicateSampleForTimestamp:
// Do not count these in logging, as this is expected if series
// is exposed from a different rule.
default:
level.Warn(g.logger).Log("msg", "Adding stale sample for previous configuration failed", "sample", s, "err", err)
}
}
if err := app.Commit(); err != nil {
level.Warn(g.logger).Log("msg", "Stale sample appending for previous configuration failed", "err", err)
} else {
g.staleSeries = nil
}
}
// RestoreForState restores the 'for' state of the alerts
// by looking up last ActiveAt from storage.
func (g *Group) RestoreForState(ts time.Time) {
maxtMS := int64(model.TimeFromUnixNano(ts.UnixNano()))
// We allow restoration only if alerts were active before after certain time.
mint := ts.Add(-g.opts.OutageTolerance)
mintMS := int64(model.TimeFromUnixNano(mint.UnixNano()))
q, err := g.opts.Queryable.Querier(g.opts.Context, mintMS, maxtMS)
if err != nil {
level.Error(g.logger).Log("msg", "Failed to get Querier", "err", err)
return
}
defer func() {
if err := q.Close(); err != nil {
level.Error(g.logger).Log("msg", "Failed to close Querier", "err", err)
}
}()
for _, rule := range g.Rules() {
alertRule, ok := rule.(*AlertingRule)
if !ok {
continue
}
alertHoldDuration := alertRule.HoldDuration()
if alertHoldDuration < g.opts.ForGracePeriod {
// If alertHoldDuration is already less than grace period, we would not
// like to make it wait for `g.opts.ForGracePeriod` time before firing.
// Hence we skip restoration, which will make it wait for alertHoldDuration.
alertRule.SetRestored(true)
continue
}
alertRule.ForEachActiveAlert(func(a *Alert) {
smpl := alertRule.forStateSample(a, time.Now(), 0)
var matchers []*labels.Matcher
for _, l := range smpl.Metric {
mt, err := labels.NewMatcher(labels.MatchEqual, l.Name, l.Value)
if err != nil {
panic(err)
}
matchers = append(matchers, mt)
}
sset := q.Select(false, nil, matchers...)
seriesFound := false
var s storage.Series
for sset.Next() {
// Query assures that smpl.Metric is included in sset.At().Labels(),
// hence just checking the length would act like equality.
// (This is faster than calling labels.Compare again as we already have some info).
if len(sset.At().Labels()) == len(smpl.Metric) {
s = sset.At()
seriesFound = true
break
}
}
if err := sset.Err(); err != nil {
// Querier Warnings are ignored. We do not care unless we have an error.
level.Error(g.logger).Log(
"msg", "Failed to restore 'for' state",
labels.AlertName, alertRule.Name(),
"stage", "Select",
"err", err,
)
return
}
if !seriesFound {
return
}
// Series found for the 'for' state.
var t int64
var v float64
it := s.Iterator()
for it.Next() {
t, v = it.At()
}
if it.Err() != nil {
level.Error(g.logger).Log("msg", "Failed to restore 'for' state",
labels.AlertName, alertRule.Name(), "stage", "Iterator", "err", it.Err())
return
}
if value.IsStaleNaN(v) { // Alert was not active.
return
}
downAt := time.Unix(t/1000, 0).UTC()
restoredActiveAt := time.Unix(int64(v), 0).UTC()
timeSpentPending := downAt.Sub(restoredActiveAt)
timeRemainingPending := alertHoldDuration - timeSpentPending
if timeRemainingPending <= 0 {
// It means that alert was firing when prometheus went down.
// In the next Eval, the state of this alert will be set back to
// firing again if it's still firing in that Eval.
// Nothing to be done in this case.
} else if timeRemainingPending < g.opts.ForGracePeriod {
// (new) restoredActiveAt = (ts + m.opts.ForGracePeriod) - alertHoldDuration
// /* new firing time */ /* moving back by hold duration */
//
// Proof of correctness:
// firingTime = restoredActiveAt.Add(alertHoldDuration)
// = ts + m.opts.ForGracePeriod - alertHoldDuration + alertHoldDuration
// = ts + m.opts.ForGracePeriod
//
// Time remaining to fire = firingTime.Sub(ts)
// = (ts + m.opts.ForGracePeriod) - ts
// = m.opts.ForGracePeriod
restoredActiveAt = ts.Add(g.opts.ForGracePeriod).Add(-alertHoldDuration)
} else {
// By shifting ActiveAt to the future (ActiveAt + some_duration),
// the total pending time from the original ActiveAt
// would be `alertHoldDuration + some_duration`.
// Here, some_duration = downDuration.
downDuration := ts.Sub(downAt)
restoredActiveAt = restoredActiveAt.Add(downDuration)
}
a.ActiveAt = restoredActiveAt
level.Debug(g.logger).Log("msg", "'for' state restored",
labels.AlertName, alertRule.Name(), "restored_time", a.ActiveAt.Format(time.RFC850),
"labels", a.Labels.String())
})
alertRule.SetRestored(true)
}
}
// Equals return if two groups are the same.
func (g *Group) Equals(ng *Group) bool {
if g.name != ng.name {
return false
}
if g.file != ng.file {
return false
}
if g.interval != ng.interval {
return false
}
if g.limit != ng.limit {
return false
}
if len(g.rules) != len(ng.rules) {
return false
}
for i, gr := range g.rules {
if gr.String() != ng.rules[i].String() {
return false
}
}
return true
}
// The Manager manages recording and alerting rules.
type Manager struct {
opts *ManagerOptions
groups map[string]*Group
mtx sync.RWMutex
block chan struct{}
done chan struct{}
restored bool
logger log.Logger
}
// NotifyFunc sends notifications about a set of alerts generated by the given expression.
type NotifyFunc func(ctx context.Context, expr string, alerts ...*Alert)
// ManagerOptions bundles options for the Manager.
type ManagerOptions struct {
ExternalURL *url.URL
QueryFunc QueryFunc
NotifyFunc NotifyFunc
Context context.Context
Appendable storage.Appendable
Queryable storage.Queryable
Logger log.Logger
Registerer prometheus.Registerer
OutageTolerance time.Duration
ForGracePeriod time.Duration
ResendDelay time.Duration
GroupLoader GroupLoader
Metrics *Metrics
}
// NewManager returns an implementation of Manager, ready to be started
// by calling the Run method.
func NewManager(o *ManagerOptions) *Manager {
if o.Metrics == nil {
o.Metrics = NewGroupMetrics(o.Registerer)
}
if o.GroupLoader == nil {
o.GroupLoader = FileLoader{}
}
m := &Manager{
groups: map[string]*Group{},
opts: o,
block: make(chan struct{}),
done: make(chan struct{}),
logger: o.Logger,
}
return m
}
// Run starts processing of the rule manager. It is blocking.
func (m *Manager) Run() {
m.start()
<-m.done
}
func (m *Manager) start() {
close(m.block)
}
// Stop the rule manager's rule evaluation cycles.
func (m *Manager) Stop() {
m.mtx.Lock()
defer m.mtx.Unlock()
level.Info(m.logger).Log("msg", "Stopping rule manager...")
for _, eg := range m.groups {
eg.stop()
}
// Shut down the groups waiting multiple evaluation intervals to write
// staleness markers.
close(m.done)
level.Info(m.logger).Log("msg", "Rule manager stopped")
}
// Update the rule manager's state as the config requires. If
// loading the new rules failed the old rule set is restored.
func (m *Manager) Update(interval time.Duration, files []string, externalLabels labels.Labels, externalURL string) error {
m.mtx.Lock()
defer m.mtx.Unlock()
groups, errs := m.LoadGroups(interval, externalLabels, externalURL, files...)
if errs != nil {
for _, e := range errs {
level.Error(m.logger).Log("msg", "loading groups failed", "err", e)
}
return errors.New("error loading rules, previous rule set restored")
}
m.restored = true
var wg sync.WaitGroup
for _, newg := range groups {
// If there is an old group with the same identifier,
// check if new group equals with the old group, if yes then skip it.
// If not equals, stop it and wait for it to finish the current iteration.
// Then copy it into the new group.
gn := GroupKey(newg.file, newg.name)
oldg, ok := m.groups[gn]
delete(m.groups, gn)
if ok && oldg.Equals(newg) {
groups[gn] = oldg
continue
}
wg.Add(1)
go func(newg *Group) {
if ok {
oldg.stop()
newg.CopyState(oldg)
}
wg.Done()
// Wait with starting evaluation until the rule manager
// is told to run. This is necessary to avoid running
// queries against a bootstrapping storage.
<-m.block
newg.run(m.opts.Context)
}(newg)
}
// Stop remaining old groups.
wg.Add(len(m.groups))
for n, oldg := range m.groups {
go func(n string, g *Group) {
g.markStale = true
g.stop()
if m := g.metrics; m != nil {
m.IterationsMissed.DeleteLabelValues(n)
m.IterationsScheduled.DeleteLabelValues(n)
m.EvalTotal.DeleteLabelValues(n)
m.EvalFailures.DeleteLabelValues(n)
m.GroupInterval.DeleteLabelValues(n)
m.GroupLastEvalTime.DeleteLabelValues(n)
m.GroupLastDuration.DeleteLabelValues(n)
m.GroupRules.DeleteLabelValues(n)
m.GroupSamples.DeleteLabelValues((n))
}
wg.Done()
}(n, oldg)
}
wg.Wait()
m.groups = groups
return nil
}
// GroupLoader is responsible for loading rule groups from arbitrary sources and parsing them.
type GroupLoader interface {
Load(identifier string) (*rulefmt.RuleGroups, []error)
Parse(query string) (parser.Expr, error)
}
// FileLoader is the default GroupLoader implementation. It defers to rulefmt.ParseFile
// and parser.ParseExpr
type FileLoader struct{}
func (FileLoader) Load(identifier string) (*rulefmt.RuleGroups, []error) {
return rulefmt.ParseFile(identifier)
}
func (FileLoader) Parse(query string) (parser.Expr, error) { return parser.ParseExpr(query) }
// LoadGroups reads groups from a list of files.
func (m *Manager) LoadGroups(
interval time.Duration, externalLabels labels.Labels, externalURL string, filenames ...string,
) (map[string]*Group, []error) {
groups := make(map[string]*Group)
shouldRestore := !m.restored
for _, fn := range filenames {
rgs, errs := m.opts.GroupLoader.Load(fn)
if errs != nil {
return nil, errs
}
for _, rg := range rgs.Groups {
itv := interval
if rg.Interval != 0 {
itv = time.Duration(rg.Interval)
}
rules := make([]Rule, 0, len(rg.Rules))
for _, r := range rg.Rules {
expr, err := m.opts.GroupLoader.Parse(r.Expr.Value)
if err != nil {
return nil, []error{errors.Wrap(err, fn)}
}
if r.Alert.Value != "" {
rules = append(rules, NewAlertingRule(
r.Alert.Value,
expr,
time.Duration(r.For),
labels.FromMap(r.Labels),
labels.FromMap(r.Annotations),
externalLabels,
externalURL,
m.restored,
log.With(m.logger, "alert", r.Alert),
))
continue
}
rules = append(rules, NewRecordingRule(
r.Record.Value,
expr,
labels.FromMap(r.Labels),
))
}
groups[GroupKey(fn, rg.Name)] = NewGroup(GroupOptions{
Name: rg.Name,
File: fn,
Interval: itv,
Limit: rg.Limit,
Rules: rules,
ShouldRestore: shouldRestore,
Opts: m.opts,
done: m.done,
})
}
}
return groups, nil
}
// GroupKey group names need not be unique across filenames.
func GroupKey(file, name string) string {
return file + ";" + name
}
// RuleGroups returns the list of manager's rule groups.
func (m *Manager) RuleGroups() []*Group {
m.mtx.RLock()
defer m.mtx.RUnlock()
rgs := make([]*Group, 0, len(m.groups))
for _, g := range m.groups {
rgs = append(rgs, g)
}
sort.Slice(rgs, func(i, j int) bool {
if rgs[i].file != rgs[j].file {
return rgs[i].file < rgs[j].file
}
return rgs[i].name < rgs[j].name
})
return rgs
}
// Rules returns the list of the manager's rules.
func (m *Manager) Rules() []Rule {
m.mtx.RLock()
defer m.mtx.RUnlock()
var rules []Rule
for _, g := range m.groups {
rules = append(rules, g.rules...)
}
return rules
}
// AlertingRules returns the list of the manager's alerting rules.
func (m *Manager) AlertingRules() []*AlertingRule {
alerts := []*AlertingRule{}
for _, rule := range m.Rules() {
if alertingRule, ok := rule.(*AlertingRule); ok {
alerts = append(alerts, alertingRule)
}
}
return alerts
}