mirror of
https://github.com/prometheus/prometheus.git
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c0879d64cf
In other words: Instead of having a “polymorphous” `Point` that can either contain a float value or a histogram value, use an `FPoint` for floats and an `HPoint` for histograms. This seemingly small change has a _lot_ of repercussions throughout the codebase. The idea here is to avoid the increase in size of `Point` arrays that happened after native histograms had been added. The higher-level data structures (`Sample`, `Series`, etc.) are still “polymorphous”. The same idea could be applied to them, but at each step the trade-offs needed to be evaluated. The idea with this change is to do the minimum necessary to get back to pre-histogram performance for functions that do not touch histograms. Here are comparisons for the `changes` function. The test data doesn't include histograms yet. Ideally, there would be no change in the benchmark result at all. First runtime v2.39 compared to directly prior to this commit: ``` name old time/op new time/op delta RangeQuery/expr=changes(a_one[1d]),steps=1-16 391µs ± 2% 542µs ± 1% +38.58% (p=0.000 n=9+8) RangeQuery/expr=changes(a_one[1d]),steps=10-16 452µs ± 2% 617µs ± 2% +36.48% (p=0.000 n=10+10) RangeQuery/expr=changes(a_one[1d]),steps=100-16 1.12ms ± 1% 1.36ms ± 2% +21.58% (p=0.000 n=8+10) RangeQuery/expr=changes(a_one[1d]),steps=1000-16 7.83ms ± 1% 8.94ms ± 1% +14.21% (p=0.000 n=10+10) RangeQuery/expr=changes(a_ten[1d]),steps=1-16 2.98ms ± 0% 3.30ms ± 1% +10.67% (p=0.000 n=9+10) RangeQuery/expr=changes(a_ten[1d]),steps=10-16 3.66ms ± 1% 4.10ms ± 1% +11.82% (p=0.000 n=10+10) RangeQuery/expr=changes(a_ten[1d]),steps=100-16 10.5ms ± 0% 11.8ms ± 1% +12.50% (p=0.000 n=8+10) RangeQuery/expr=changes(a_ten[1d]),steps=1000-16 77.6ms ± 1% 87.4ms ± 1% +12.63% (p=0.000 n=9+9) RangeQuery/expr=changes(a_hundred[1d]),steps=1-16 30.4ms ± 2% 32.8ms ± 1% +8.01% (p=0.000 n=10+10) RangeQuery/expr=changes(a_hundred[1d]),steps=10-16 37.1ms ± 2% 40.6ms ± 2% +9.64% (p=0.000 n=10+10) RangeQuery/expr=changes(a_hundred[1d]),steps=100-16 105ms ± 1% 117ms ± 1% +11.69% (p=0.000 n=10+10) RangeQuery/expr=changes(a_hundred[1d]),steps=1000-16 783ms ± 3% 876ms ± 1% +11.83% (p=0.000 n=9+10) ``` And then runtime v2.39 compared to after this commit: ``` name old time/op new time/op delta RangeQuery/expr=changes(a_one[1d]),steps=1-16 391µs ± 2% 547µs ± 1% +39.84% (p=0.000 n=9+8) RangeQuery/expr=changes(a_one[1d]),steps=10-16 452µs ± 2% 616µs ± 2% +36.15% (p=0.000 n=10+10) RangeQuery/expr=changes(a_one[1d]),steps=100-16 1.12ms ± 1% 1.26ms ± 1% +12.20% (p=0.000 n=8+10) RangeQuery/expr=changes(a_one[1d]),steps=1000-16 7.83ms ± 1% 7.95ms ± 1% +1.59% (p=0.000 n=10+8) RangeQuery/expr=changes(a_ten[1d]),steps=1-16 2.98ms ± 0% 3.38ms ± 2% +13.49% (p=0.000 n=9+10) RangeQuery/expr=changes(a_ten[1d]),steps=10-16 3.66ms ± 1% 4.02ms ± 1% +9.80% (p=0.000 n=10+9) RangeQuery/expr=changes(a_ten[1d]),steps=100-16 10.5ms ± 0% 10.8ms ± 1% +3.08% (p=0.000 n=8+10) RangeQuery/expr=changes(a_ten[1d]),steps=1000-16 77.6ms ± 1% 78.1ms ± 1% +0.58% (p=0.035 n=9+10) RangeQuery/expr=changes(a_hundred[1d]),steps=1-16 30.4ms ± 2% 33.5ms ± 4% +10.18% (p=0.000 n=10+10) RangeQuery/expr=changes(a_hundred[1d]),steps=10-16 37.1ms ± 2% 40.0ms ± 1% +7.98% (p=0.000 n=10+10) RangeQuery/expr=changes(a_hundred[1d]),steps=100-16 105ms ± 1% 107ms ± 1% +1.92% (p=0.000 n=10+10) RangeQuery/expr=changes(a_hundred[1d]),steps=1000-16 783ms ± 3% 775ms ± 1% -1.02% (p=0.019 n=9+9) ``` In summary, the runtime doesn't really improve with this change for queries with just a few steps. For queries with many steps, this commit essentially reinstates the old performance. This is good because the many-step queries are the one that matter most (longest absolute runtime). In terms of allocations, though, this commit doesn't make a dent at all (numbers not shown). The reason is that most of the allocations happen in the sampleRingIterator (in the storage package), which has to be addressed in a separate commit. Signed-off-by: beorn7 <beorn@grafana.com>
565 lines
16 KiB
Go
565 lines
16 KiB
Go
// Copyright 2013 The Prometheus Authors
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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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"context"
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"fmt"
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"net/url"
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"strings"
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"sync"
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"time"
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"github.com/go-kit/log"
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"github.com/go-kit/log/level"
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"github.com/prometheus/common/model"
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"go.uber.org/atomic"
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"gopkg.in/yaml.v2"
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"github.com/prometheus/prometheus/model/labels"
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"github.com/prometheus/prometheus/model/rulefmt"
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"github.com/prometheus/prometheus/model/timestamp"
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"github.com/prometheus/prometheus/promql"
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"github.com/prometheus/prometheus/promql/parser"
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"github.com/prometheus/prometheus/storage"
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"github.com/prometheus/prometheus/template"
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)
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const (
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// AlertMetricName is the metric name for synthetic alert timeseries.
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alertMetricName = "ALERTS"
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// AlertForStateMetricName is the metric name for 'for' state of alert.
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alertForStateMetricName = "ALERTS_FOR_STATE"
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// AlertStateLabel is the label name indicating the state of an alert.
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alertStateLabel = "alertstate"
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)
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// AlertState denotes the state of an active alert.
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type AlertState int
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const (
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// StateInactive is the state of an alert that is neither firing nor pending.
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StateInactive AlertState = iota
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// StatePending is the state of an alert that has been active for less than
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// the configured threshold duration.
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StatePending
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// StateFiring is the state of an alert that has been active for longer than
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// the configured threshold duration.
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StateFiring
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)
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func (s AlertState) String() string {
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switch s {
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case StateInactive:
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return "inactive"
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case StatePending:
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return "pending"
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case StateFiring:
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return "firing"
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}
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panic(fmt.Errorf("unknown alert state: %d", s))
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}
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// Alert is the user-level representation of a single instance of an alerting rule.
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type Alert struct {
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State AlertState
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Labels labels.Labels
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Annotations labels.Labels
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// The value at the last evaluation of the alerting expression.
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Value float64
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// The interval during which the condition of this alert held true.
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// ResolvedAt will be 0 to indicate a still active alert.
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ActiveAt time.Time
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FiredAt time.Time
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ResolvedAt time.Time
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LastSentAt time.Time
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ValidUntil time.Time
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KeepFiringSince time.Time
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}
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func (a *Alert) needsSending(ts time.Time, resendDelay time.Duration) bool {
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if a.State == StatePending {
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return false
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}
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// if an alert has been resolved since the last send, resend it
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if a.ResolvedAt.After(a.LastSentAt) {
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return true
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}
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return a.LastSentAt.Add(resendDelay).Before(ts)
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}
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// An AlertingRule 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 parser.Expr
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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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// The amount of time that the alert should remain firing after the
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// resolution.
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keepFiringFor time.Duration
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// Extra labels to attach to the resulting alert sample vectors.
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labels labels.Labels
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// Non-identifying key/value pairs.
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annotations labels.Labels
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// External labels from the global config.
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externalLabels map[string]string
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// The external URL from the --web.external-url flag.
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externalURL string
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// true if old state has been restored. We start persisting samples for ALERT_FOR_STATE
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// only after the restoration.
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restored *atomic.Bool
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// Time in seconds taken to evaluate rule.
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evaluationDuration *atomic.Duration
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// Timestamp of last evaluation of rule.
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evaluationTimestamp *atomic.Time
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// The health of the alerting rule.
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health *atomic.String
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// The last error seen by the alerting rule.
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lastError *atomic.Error
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// activeMtx Protects the `active` map.
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activeMtx sync.Mutex
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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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active map[uint64]*Alert
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logger log.Logger
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}
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// NewAlertingRule constructs a new AlertingRule.
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func NewAlertingRule(
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name string, vec parser.Expr, hold, keepFiringFor time.Duration,
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labels, annotations, externalLabels labels.Labels, externalURL string,
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restored bool, logger log.Logger,
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) *AlertingRule {
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el := externalLabels.Map()
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return &AlertingRule{
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name: name,
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vector: vec,
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holdDuration: hold,
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keepFiringFor: keepFiringFor,
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labels: labels,
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annotations: annotations,
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externalLabels: el,
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externalURL: externalURL,
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active: map[uint64]*Alert{},
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logger: logger,
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restored: atomic.NewBool(restored),
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health: atomic.NewString(string(HealthUnknown)),
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evaluationTimestamp: atomic.NewTime(time.Time{}),
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evaluationDuration: atomic.NewDuration(0),
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lastError: atomic.NewError(nil),
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}
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}
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// Name returns the name of the alerting rule.
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func (r *AlertingRule) Name() string {
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return r.name
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}
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// SetLastError sets the current error seen by the alerting rule.
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func (r *AlertingRule) SetLastError(err error) {
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r.lastError.Store(err)
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}
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// LastError returns the last error seen by the alerting rule.
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func (r *AlertingRule) LastError() error {
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return r.lastError.Load()
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}
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// SetHealth sets the current health of the alerting rule.
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func (r *AlertingRule) SetHealth(health RuleHealth) {
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r.health.Store(string(health))
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}
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// Health returns the current health of the alerting rule.
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func (r *AlertingRule) Health() RuleHealth {
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return RuleHealth(r.health.String())
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}
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// Query returns the query expression of the alerting rule.
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func (r *AlertingRule) Query() parser.Expr {
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return r.vector
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}
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// HoldDuration returns the hold duration of the alerting rule.
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func (r *AlertingRule) HoldDuration() time.Duration {
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return r.holdDuration
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}
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// KeepFiringFor returns the duration an alerting rule should keep firing for
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// after resolution.
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func (r *AlertingRule) KeepFiringFor() time.Duration {
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return r.keepFiringFor
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}
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// Labels returns the labels of the alerting rule.
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func (r *AlertingRule) Labels() labels.Labels {
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return r.labels
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}
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// Annotations returns the annotations of the alerting rule.
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func (r *AlertingRule) Annotations() labels.Labels {
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return r.annotations
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}
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func (r *AlertingRule) sample(alert *Alert, ts time.Time) promql.Sample {
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lb := labels.NewBuilder(r.labels)
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alert.Labels.Range(func(l labels.Label) {
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lb.Set(l.Name, l.Value)
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})
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lb.Set(labels.MetricName, alertMetricName)
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lb.Set(labels.AlertName, r.name)
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lb.Set(alertStateLabel, alert.State.String())
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s := promql.Sample{
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Metric: lb.Labels(),
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T: timestamp.FromTime(ts),
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F: 1,
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}
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return s
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}
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// forStateSample returns the sample for ALERTS_FOR_STATE.
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func (r *AlertingRule) forStateSample(alert *Alert, ts time.Time, v float64) promql.Sample {
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lb := labels.NewBuilder(r.labels)
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alert.Labels.Range(func(l labels.Label) {
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lb.Set(l.Name, l.Value)
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})
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lb.Set(labels.MetricName, alertForStateMetricName)
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lb.Set(labels.AlertName, r.name)
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s := promql.Sample{
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Metric: lb.Labels(),
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T: timestamp.FromTime(ts),
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F: v,
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}
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return s
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}
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// QueryforStateSeries returns the series for ALERTS_FOR_STATE.
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func (r *AlertingRule) QueryforStateSeries(alert *Alert, q storage.Querier) (storage.Series, error) {
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smpl := r.forStateSample(alert, time.Now(), 0)
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var matchers []*labels.Matcher
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smpl.Metric.Range(func(l labels.Label) {
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mt, err := labels.NewMatcher(labels.MatchEqual, l.Name, l.Value)
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if err != nil {
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panic(err)
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}
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matchers = append(matchers, mt)
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})
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sset := q.Select(false, nil, matchers...)
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var s storage.Series
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for sset.Next() {
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// Query assures that smpl.Metric is included in sset.At().Labels(),
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// hence just checking the length would act like equality.
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// (This is faster than calling labels.Compare again as we already have some info).
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if sset.At().Labels().Len() == len(matchers) {
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s = sset.At()
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break
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}
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}
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return s, sset.Err()
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}
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// SetEvaluationDuration updates evaluationDuration to the duration it took to evaluate the rule on its last evaluation.
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func (r *AlertingRule) SetEvaluationDuration(dur time.Duration) {
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r.evaluationDuration.Store(dur)
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}
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// GetEvaluationDuration returns the time in seconds it took to evaluate the alerting rule.
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func (r *AlertingRule) GetEvaluationDuration() time.Duration {
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return r.evaluationDuration.Load()
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}
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// SetEvaluationTimestamp updates evaluationTimestamp to the timestamp of when the rule was last evaluated.
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func (r *AlertingRule) SetEvaluationTimestamp(ts time.Time) {
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r.evaluationTimestamp.Store(ts)
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}
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// GetEvaluationTimestamp returns the time the evaluation took place.
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func (r *AlertingRule) GetEvaluationTimestamp() time.Time {
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return r.evaluationTimestamp.Load()
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}
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// SetRestored updates the restoration state of the alerting rule.
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func (r *AlertingRule) SetRestored(restored bool) {
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r.restored.Store(restored)
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}
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// Restored returns the restoration state of the alerting rule.
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func (r *AlertingRule) Restored() bool {
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return r.restored.Load()
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}
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// resolvedRetention is the duration for which a resolved alert instance
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// is kept in memory state and consequently repeatedly sent to the AlertManager.
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const resolvedRetention = 15 * time.Minute
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// Eval evaluates the rule expression and then creates pending alerts and fires
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// or removes previously pending alerts accordingly.
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func (r *AlertingRule) Eval(ctx context.Context, ts time.Time, query QueryFunc, externalURL *url.URL, limit int) (promql.Vector, error) {
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ctx = NewOriginContext(ctx, NewRuleDetail(r))
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res, err := query(ctx, r.vector.String(), ts)
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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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// or update the expression value for existing elements.
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resultFPs := map[uint64]struct{}{}
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var vec promql.Vector
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alerts := make(map[uint64]*Alert, len(res))
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for _, smpl := range res {
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// Provide the alert information to the template.
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l := smpl.Metric.Map()
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tmplData := template.AlertTemplateData(l, r.externalLabels, r.externalURL, smpl.F)
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// Inject some convenience variables that are easier to remember for users
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// who are not used to Go's templating system.
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defs := []string{
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"{{$labels := .Labels}}",
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"{{$externalLabels := .ExternalLabels}}",
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"{{$externalURL := .ExternalURL}}",
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"{{$value := .Value}}",
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}
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expand := func(text string) string {
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tmpl := template.NewTemplateExpander(
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ctx,
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strings.Join(append(defs, text), ""),
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"__alert_"+r.Name(),
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tmplData,
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model.Time(timestamp.FromTime(ts)),
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template.QueryFunc(query),
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externalURL,
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nil,
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)
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result, err := tmpl.Expand()
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if err != nil {
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result = fmt.Sprintf("<error expanding template: %s>", err)
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level.Warn(r.logger).Log("msg", "Expanding alert template failed", "err", err, "data", tmplData)
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}
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return result
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}
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lb := labels.NewBuilder(smpl.Metric).Del(labels.MetricName)
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r.labels.Range(func(l labels.Label) {
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lb.Set(l.Name, expand(l.Value))
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})
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lb.Set(labels.AlertName, r.Name())
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sb := labels.ScratchBuilder{}
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r.annotations.Range(func(a labels.Label) {
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sb.Add(a.Name, expand(a.Value))
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})
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annotations := sb.Labels()
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lbs := lb.Labels()
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h := lbs.Hash()
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resultFPs[h] = struct{}{}
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if _, ok := alerts[h]; ok {
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return nil, fmt.Errorf("vector contains metrics with the same labelset after applying alert labels")
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}
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alerts[h] = &Alert{
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Labels: lbs,
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Annotations: annotations,
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ActiveAt: ts,
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State: StatePending,
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Value: smpl.F,
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}
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}
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r.activeMtx.Lock()
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defer r.activeMtx.Unlock()
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for h, a := range alerts {
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// Check whether we already have alerting state for the identifying label set.
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// Update the last value and annotations if so, create a new alert entry otherwise.
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if alert, ok := r.active[h]; ok && alert.State != StateInactive {
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alert.Value = a.Value
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alert.Annotations = a.Annotations
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continue
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}
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r.active[h] = a
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}
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var numActivePending int
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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, a := range r.active {
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if _, ok := resultFPs[fp]; !ok {
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// There is no firing alerts for this fingerprint. The alert is no
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// longer firing.
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// Use keepFiringFor value to determine if the alert should keep
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// firing.
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var keepFiring bool
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if a.State == StateFiring && r.keepFiringFor > 0 {
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if a.KeepFiringSince.IsZero() {
|
|
a.KeepFiringSince = ts
|
|
}
|
|
if ts.Sub(a.KeepFiringSince) < r.keepFiringFor {
|
|
keepFiring = true
|
|
}
|
|
}
|
|
|
|
// If the alert was previously firing, keep it around for a given
|
|
// retention time so it is reported as resolved to the AlertManager.
|
|
if a.State == StatePending || (!a.ResolvedAt.IsZero() && ts.Sub(a.ResolvedAt) > resolvedRetention) {
|
|
delete(r.active, fp)
|
|
}
|
|
if a.State != StateInactive && !keepFiring {
|
|
a.State = StateInactive
|
|
a.ResolvedAt = ts
|
|
}
|
|
if !keepFiring {
|
|
continue
|
|
}
|
|
} else {
|
|
// The alert is firing, reset keepFiringSince.
|
|
a.KeepFiringSince = time.Time{}
|
|
}
|
|
numActivePending++
|
|
|
|
if a.State == StatePending && ts.Sub(a.ActiveAt) >= r.holdDuration {
|
|
a.State = StateFiring
|
|
a.FiredAt = ts
|
|
}
|
|
|
|
if r.restored.Load() {
|
|
vec = append(vec, r.sample(a, ts))
|
|
vec = append(vec, r.forStateSample(a, ts, float64(a.ActiveAt.Unix())))
|
|
}
|
|
}
|
|
|
|
if limit > 0 && numActivePending > limit {
|
|
r.active = map[uint64]*Alert{}
|
|
return nil, fmt.Errorf("exceeded limit of %d with %d alerts", limit, numActivePending)
|
|
}
|
|
|
|
return vec, nil
|
|
}
|
|
|
|
// State returns the maximum state of alert instances for this rule.
|
|
// StateFiring > StatePending > StateInactive
|
|
func (r *AlertingRule) State() AlertState {
|
|
r.activeMtx.Lock()
|
|
defer r.activeMtx.Unlock()
|
|
|
|
maxState := StateInactive
|
|
for _, a := range r.active {
|
|
if a.State > maxState {
|
|
maxState = a.State
|
|
}
|
|
}
|
|
return maxState
|
|
}
|
|
|
|
// ActiveAlerts returns a slice of active alerts.
|
|
func (r *AlertingRule) ActiveAlerts() []*Alert {
|
|
var res []*Alert
|
|
for _, a := range r.currentAlerts() {
|
|
if a.ResolvedAt.IsZero() {
|
|
res = append(res, a)
|
|
}
|
|
}
|
|
return res
|
|
}
|
|
|
|
// currentAlerts returns all instances of alerts for this rule. This may include
|
|
// inactive alerts that were previously firing.
|
|
func (r *AlertingRule) currentAlerts() []*Alert {
|
|
r.activeMtx.Lock()
|
|
defer r.activeMtx.Unlock()
|
|
|
|
alerts := make([]*Alert, 0, len(r.active))
|
|
|
|
for _, a := range r.active {
|
|
anew := *a
|
|
alerts = append(alerts, &anew)
|
|
}
|
|
return alerts
|
|
}
|
|
|
|
// ForEachActiveAlert runs the given function on each alert.
|
|
// This should be used when you want to use the actual alerts from the AlertingRule
|
|
// and not on its copy.
|
|
// If you want to run on a copy of alerts then don't use this, get the alerts from 'ActiveAlerts()'.
|
|
func (r *AlertingRule) ForEachActiveAlert(f func(*Alert)) {
|
|
r.activeMtx.Lock()
|
|
defer r.activeMtx.Unlock()
|
|
|
|
for _, a := range r.active {
|
|
f(a)
|
|
}
|
|
}
|
|
|
|
func (r *AlertingRule) sendAlerts(ctx context.Context, ts time.Time, resendDelay, interval time.Duration, notifyFunc NotifyFunc) {
|
|
alerts := []*Alert{}
|
|
r.ForEachActiveAlert(func(alert *Alert) {
|
|
if alert.needsSending(ts, resendDelay) {
|
|
alert.LastSentAt = ts
|
|
// Allow for two Eval or Alertmanager send failures.
|
|
delta := resendDelay
|
|
if interval > resendDelay {
|
|
delta = interval
|
|
}
|
|
alert.ValidUntil = ts.Add(4 * delta)
|
|
anew := *alert
|
|
// The notifier re-uses the labels slice, hence make a copy.
|
|
anew.Labels = alert.Labels.Copy()
|
|
alerts = append(alerts, &anew)
|
|
}
|
|
})
|
|
notifyFunc(ctx, r.vector.String(), alerts...)
|
|
}
|
|
|
|
func (r *AlertingRule) String() string {
|
|
ar := rulefmt.Rule{
|
|
Alert: r.name,
|
|
Expr: r.vector.String(),
|
|
For: model.Duration(r.holdDuration),
|
|
KeepFiringFor: model.Duration(r.keepFiringFor),
|
|
Labels: r.labels.Map(),
|
|
Annotations: r.annotations.Map(),
|
|
}
|
|
|
|
byt, err := yaml.Marshal(ar)
|
|
if err != nil {
|
|
return fmt.Sprintf("error marshaling alerting rule: %s", err.Error())
|
|
}
|
|
|
|
return string(byt)
|
|
}
|