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51689d965d
This adds timers around several query-relevant code blocks. For now, the query timer stats are only logged for queries initiated through the UI. In other cases (rule evaluations), the stats are simply thrown away. My hope is that this helps us understand where queries spend time, especially in cases where they sometimes hang for unusual amounts of time.
160 lines
4.7 KiB
Go
160 lines
4.7 KiB
Go
// Copyright 2013 Prometheus Team
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package rules
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import (
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"fmt"
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"github.com/prometheus/prometheus/model"
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"github.com/prometheus/prometheus/rules/ast"
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"github.com/prometheus/prometheus/stats"
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"github.com/prometheus/prometheus/storage/metric"
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"github.com/prometheus/prometheus/utility"
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"time"
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)
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// States that active alerts can be in.
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type alertState int
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func (s alertState) String() string {
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switch s {
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case PENDING:
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return "pending"
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case FIRING:
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return "firing"
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default:
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panic("undefined")
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}
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}
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const (
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PENDING alertState = iota
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FIRING
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)
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// alert is used to track active (pending/firing) alerts over time.
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type alert struct {
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// The name of the alert.
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name string
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// The vector element labelset triggering this alert.
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metric model.Metric
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// The state of the alert (PENDING or FIRING).
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state alertState
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// The time when the alert first transitioned into PENDING state.
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activeSince time.Time
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}
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// sample returns a Sample suitable for recording the alert.
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func (a alert) sample(timestamp time.Time, value model.SampleValue) model.Sample {
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recordedMetric := model.Metric{}
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for label, value := range a.metric {
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recordedMetric[label] = value
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}
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recordedMetric[model.MetricNameLabel] = model.AlertMetricName
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recordedMetric[model.AlertNameLabel] = model.LabelValue(a.name)
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recordedMetric[model.AlertStateLabel] = model.LabelValue(a.state.String())
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return model.Sample{
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Metric: recordedMetric,
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Value: value,
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Timestamp: timestamp,
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}
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}
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// An alerting rule generates alerts from its vector expression.
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type AlertingRule struct {
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// The name of the alert.
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name string
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// The vector expression from which to generate alerts.
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vector ast.VectorNode
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// The duration for which a labelset needs to persist in the expression
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// output vector before an alert transitions from PENDING to FIRING state.
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holdDuration time.Duration
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// Extra labels to attach to the resulting alert sample vectors.
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labels model.LabelSet
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// A map of alerts which are currently active (PENDING or FIRING), keyed by
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// the fingerprint of the labelset they correspond to.
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activeAlerts map[model.Fingerprint]*alert
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}
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func (rule AlertingRule) Name() string { return rule.name }
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func (rule AlertingRule) EvalRaw(timestamp time.Time, storage *metric.TieredStorage) (ast.Vector, error) {
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return ast.EvalVectorInstant(rule.vector, timestamp, storage, stats.NewTimerGroup())
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}
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func (rule AlertingRule) Eval(timestamp time.Time, storage *metric.TieredStorage) (ast.Vector, error) {
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// Get the raw value of the rule expression.
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exprResult, err := rule.EvalRaw(timestamp, storage)
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if err != nil {
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return nil, err
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}
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// Create pending alerts for any new vector elements in the alert expression.
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resultFingerprints := utility.Set{}
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for _, sample := range exprResult {
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fp := *model.NewFingerprintFromMetric(sample.Metric)
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resultFingerprints.Add(fp)
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if _, ok := rule.activeAlerts[fp]; !ok {
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rule.activeAlerts[fp] = &alert{
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name: rule.name,
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metric: sample.Metric,
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state: PENDING,
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activeSince: timestamp,
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}
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}
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}
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vector := ast.Vector{}
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// Check if any pending alerts should be removed or fire now. Write out alert timeseries.
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for fp, activeAlert := range rule.activeAlerts {
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if !resultFingerprints.Has(fp) {
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vector = append(vector, activeAlert.sample(timestamp, 0))
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delete(rule.activeAlerts, fp)
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continue
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}
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if activeAlert.state == PENDING && timestamp.Sub(activeAlert.activeSince) >= rule.holdDuration {
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vector = append(vector, activeAlert.sample(timestamp, 0))
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activeAlert.state = FIRING
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}
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vector = append(vector, activeAlert.sample(timestamp, 1))
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}
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return vector, nil
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}
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func (rule AlertingRule) ToDotGraph() string {
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graph := fmt.Sprintf(`digraph "Rules" {
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%#p[shape="box",label="ALERT %s IF FOR %s"];
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%#p -> %#p;
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%s
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}`, &rule, rule.name, utility.DurationToString(rule.holdDuration), &rule, rule.vector, rule.vector.NodeTreeToDotGraph())
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return graph
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}
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// Construct a new AlertingRule.
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func NewAlertingRule(name string, vector ast.VectorNode, holdDuration time.Duration, labels model.LabelSet) *AlertingRule {
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return &AlertingRule{
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name: name,
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vector: vector,
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holdDuration: holdDuration,
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labels: labels,
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activeAlerts: map[model.Fingerprint]*alert{},
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}
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}
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