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af91fb8e31
This is done by bucketing chunks by fingerprint. If the persisting to disk falls behind, more and more chunks are in the queue. As soon as there are "double hits", we will now persist both chunks in one go, doubling the disk throughput (assuming it is limited by disk seeks). Should even more pile up so that we end wit "triple hits", we will persist those first, and so on. Even if we have millions of time series, this will still help, assuming not all of them are growing with the same speed. Series that get many samples and/or are not very compressable will accumulate chunks faster, and they will soon get double- or triple-writes. To improve the chance of double writes, -storage.local.persistence-queue-capacity could be set to a higher value. However, that will slow down shutdown a lot (as the queue has to be worked through). So we leave it to the user to set it to a really high value. A more fundamental solution would be to checkpoint not only head chunks, but also chunks still in the persist queue. That would be quite complicated for a rather limited use-case (running many time series with high ingestion rate on slow spinning disks).
308 lines
10 KiB
Go
308 lines
10 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 main
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import (
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"flag"
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_ "net/http/pprof" // Comment this line to disable pprof endpoint.
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"os"
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"os/signal"
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"sync"
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"syscall"
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"time"
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"github.com/golang/glog"
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clientmodel "github.com/prometheus/client_golang/model"
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registry "github.com/prometheus/client_golang/prometheus"
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"github.com/prometheus/prometheus/config"
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"github.com/prometheus/prometheus/notification"
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"github.com/prometheus/prometheus/retrieval"
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"github.com/prometheus/prometheus/rules/manager"
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"github.com/prometheus/prometheus/storage/local"
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"github.com/prometheus/prometheus/storage/remote"
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"github.com/prometheus/prometheus/storage/remote/opentsdb"
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"github.com/prometheus/prometheus/web"
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"github.com/prometheus/prometheus/web/api"
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)
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const deletionBatchSize = 100
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// Commandline flags.
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var (
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configFile = flag.String("config.file", "prometheus.conf", "Prometheus configuration file name.")
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alertmanagerURL = flag.String("alertmanager.url", "", "The URL of the alert manager to send notifications to.")
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notificationQueueCapacity = flag.Int("alertmanager.notification-queue-capacity", 100, "The capacity of the queue for pending alert manager notifications.")
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persistenceStoragePath = flag.String("storage.local.path", "/tmp/metrics", "Base path for metrics storage.")
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remoteTSDBUrl = flag.String("storage.remote.url", "", "The URL of the OpenTSDB instance to send samples to.")
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remoteTSDBTimeout = flag.Duration("storage.remote.timeout", 30*time.Second, "The timeout to use when sending samples to OpenTSDB.")
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samplesQueueCapacity = flag.Int("storage.incoming-samples-queue-capacity", 64*1024, "The capacity of the queue of samples to be stored. Note that each slot in the queue takes a whole slice of samples whose size depends on details of the scrape process.")
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numMemoryChunks = flag.Int("storage.local.memory-chunks", 1024*1024, "How many chunks to keep in memory. While the size of a chunk is 1kiB, the total memory usage will be significantly higher than this value * 1kiB. Furthermore, for various reasons, more chunks might have to be kept in memory temporarily.")
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persistenceRetentionPeriod = flag.Duration("storage.local.retention", 15*24*time.Hour, "How long to retain samples in the local storage.")
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persistenceQueueCapacity = flag.Int("storage.local.persistence-queue-capacity", 32*1024, "How many chunks can be waiting for being persisted before sample ingestion will stop.")
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checkpointInterval = flag.Duration("storage.local.checkpoint-interval", 5*time.Minute, "The period at which the in-memory index of time series is checkpointed.")
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checkpointDirtySeriesLimit = flag.Int("storage.local.checkpoint-dirty-series-limit", 5000, "If approx. that many time series are in a state that would require a recovery operation after a crash, a checkpoint is triggered, even if the checkpoint interval hasn't passed yet. A recovery operation requires a disk seek. The default limit intends to keep the recovery time below 1min even on spinning disks. With SSD, recovery is much faster, so you might want to increase this value in that case to avoid overly frequent checkpoints.")
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storageDirty = flag.Bool("storage.local.dirty", false, "If set, the local storage layer will perform crash recovery even if the last shutdown appears to be clean.")
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printVersion = flag.Bool("version", false, "Print version information.")
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)
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// Instrumentation.
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var (
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samplesQueueCapDesc = registry.NewDesc(
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"prometheus_samples_queue_capacity",
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"Capacity of the queue for unwritten samples.",
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nil, nil,
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)
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samplesQueueLenDesc = registry.NewDesc(
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"prometheus_samples_queue_length",
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"Current number of items in the queue for unwritten samples. Each item comprises all samples exposed by one target as one metric family (i.e. metrics of the same name).",
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nil, nil,
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)
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)
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type prometheus struct {
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unwrittenSamples chan clientmodel.Samples
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ruleManager manager.RuleManager
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targetManager retrieval.TargetManager
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notificationHandler *notification.NotificationHandler
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storage local.Storage
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remoteTSDBQueue *remote.TSDBQueueManager
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webService *web.WebService
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closeOnce sync.Once
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}
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// NewPrometheus creates a new prometheus object based on flag values.
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// Call Serve() to start serving and Close() for clean shutdown.
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func NewPrometheus() *prometheus {
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conf, err := config.LoadFromFile(*configFile)
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if err != nil {
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glog.Fatalf("Error loading configuration from %s: %v", *configFile, err)
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}
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unwrittenSamples := make(chan clientmodel.Samples, *samplesQueueCapacity)
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ingester := &retrieval.MergeLabelsIngester{
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Labels: conf.GlobalLabels(),
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CollisionPrefix: clientmodel.ExporterLabelPrefix,
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Ingester: retrieval.ChannelIngester(unwrittenSamples),
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}
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targetManager := retrieval.NewTargetManager(ingester)
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targetManager.AddTargetsFromConfig(conf)
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notificationHandler := notification.NewNotificationHandler(*alertmanagerURL, *notificationQueueCapacity)
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o := &local.MemorySeriesStorageOptions{
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MemoryChunks: *numMemoryChunks,
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PersistenceStoragePath: *persistenceStoragePath,
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PersistenceRetentionPeriod: *persistenceRetentionPeriod,
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PersistenceQueueCapacity: *persistenceQueueCapacity,
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CheckpointInterval: *checkpointInterval,
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CheckpointDirtySeriesLimit: *checkpointDirtySeriesLimit,
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Dirty: *storageDirty,
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}
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memStorage, err := local.NewMemorySeriesStorage(o)
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if err != nil {
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glog.Fatal("Error opening memory series storage: ", err)
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}
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ruleManager := manager.NewRuleManager(&manager.RuleManagerOptions{
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Results: unwrittenSamples,
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NotificationHandler: notificationHandler,
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EvaluationInterval: conf.EvaluationInterval(),
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Storage: memStorage,
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PrometheusURL: web.MustBuildServerURL(),
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})
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if err := ruleManager.AddRulesFromConfig(conf); err != nil {
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glog.Fatal("Error loading rule files: ", err)
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}
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var remoteTSDBQueue *remote.TSDBQueueManager
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if *remoteTSDBUrl == "" {
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glog.Warningf("No TSDB URL provided; not sending any samples to long-term storage")
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} else {
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openTSDB := opentsdb.NewClient(*remoteTSDBUrl, *remoteTSDBTimeout)
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remoteTSDBQueue = remote.NewTSDBQueueManager(openTSDB, 512)
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}
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flags := map[string]string{}
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flag.VisitAll(func(f *flag.Flag) {
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flags[f.Name] = f.Value.String()
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})
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prometheusStatus := &web.PrometheusStatusHandler{
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BuildInfo: BuildInfo,
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Config: conf.String(),
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RuleManager: ruleManager,
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TargetPools: targetManager.Pools(),
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Flags: flags,
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Birth: time.Now(),
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}
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alertsHandler := &web.AlertsHandler{
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RuleManager: ruleManager,
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}
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consolesHandler := &web.ConsolesHandler{
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Storage: memStorage,
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}
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metricsService := &api.MetricsService{
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Config: &conf,
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TargetManager: targetManager,
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Storage: memStorage,
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}
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webService := &web.WebService{
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StatusHandler: prometheusStatus,
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MetricsHandler: metricsService,
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ConsolesHandler: consolesHandler,
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AlertsHandler: alertsHandler,
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}
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p := &prometheus{
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unwrittenSamples: unwrittenSamples,
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ruleManager: ruleManager,
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targetManager: targetManager,
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notificationHandler: notificationHandler,
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storage: memStorage,
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remoteTSDBQueue: remoteTSDBQueue,
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webService: webService,
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}
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webService.QuitDelegate = p.Close
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return p
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}
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// Serve starts the Prometheus server. It returns after the server has been shut
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// down. The method installs an interrupt handler, allowing to trigger a
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// shutdown by sending SIGTERM to the process.
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func (p *prometheus) Serve() {
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if p.remoteTSDBQueue != nil {
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go p.remoteTSDBQueue.Run()
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}
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go p.ruleManager.Run()
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go p.notificationHandler.Run()
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go p.interruptHandler()
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p.storage.Start()
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go func() {
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err := p.webService.ServeForever()
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if err != nil {
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glog.Fatal(err)
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}
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}()
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for samples := range p.unwrittenSamples {
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p.storage.AppendSamples(samples)
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if p.remoteTSDBQueue != nil {
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p.remoteTSDBQueue.Queue(samples)
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}
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}
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// The following shut-down operations have to happen after
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// unwrittenSamples is drained. So do not move them into close().
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if err := p.storage.Stop(); err != nil {
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glog.Error("Error stopping local storage: ", err)
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}
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if p.remoteTSDBQueue != nil {
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p.remoteTSDBQueue.Stop()
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}
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p.notificationHandler.Stop()
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glog.Info("See you next time!")
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}
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// Close cleanly shuts down the Prometheus server.
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func (p *prometheus) Close() {
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p.closeOnce.Do(p.close)
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}
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func (p *prometheus) interruptHandler() {
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notifier := make(chan os.Signal)
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signal.Notify(notifier, os.Interrupt, syscall.SIGTERM)
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<-notifier
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glog.Warning("Received SIGTERM, exiting gracefully...")
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p.Close()
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}
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func (p *prometheus) close() {
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glog.Info("Shutdown has been requested; subsytems are closing:")
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p.targetManager.Stop()
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p.ruleManager.Stop()
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close(p.unwrittenSamples)
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// Note: Before closing the remaining subsystems (storage, ...), we have
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// to wait until p.unwrittenSamples is actually drained. Therefore,
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// remaining shut-downs happen in Serve().
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}
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// Describe implements registry.Collector.
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func (p *prometheus) Describe(ch chan<- *registry.Desc) {
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ch <- samplesQueueCapDesc
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ch <- samplesQueueLenDesc
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p.notificationHandler.Describe(ch)
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p.storage.Describe(ch)
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if p.remoteTSDBQueue != nil {
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p.remoteTSDBQueue.Describe(ch)
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}
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}
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// Collect implements registry.Collector.
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func (p *prometheus) Collect(ch chan<- registry.Metric) {
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ch <- registry.MustNewConstMetric(
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samplesQueueCapDesc,
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registry.GaugeValue,
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float64(cap(p.unwrittenSamples)),
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)
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ch <- registry.MustNewConstMetric(
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samplesQueueLenDesc,
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registry.GaugeValue,
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float64(len(p.unwrittenSamples)),
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)
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p.notificationHandler.Collect(ch)
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p.storage.Collect(ch)
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if p.remoteTSDBQueue != nil {
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p.remoteTSDBQueue.Collect(ch)
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}
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}
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func main() {
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flag.Parse()
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versionInfoTmpl.Execute(os.Stdout, BuildInfo)
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if *printVersion {
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os.Exit(0)
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}
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p := NewPrometheus()
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registry.MustRegister(p)
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p.Serve()
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}
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