// 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 remote import ( "sync" "time" "golang.org/x/time/rate" "github.com/prometheus/client_golang/prometheus" "github.com/prometheus/common/log" "github.com/prometheus/common/model" "github.com/prometheus/prometheus/config" "github.com/prometheus/prometheus/relabel" ) // String constants for instrumentation. const ( namespace = "prometheus" subsystem = "remote_storage" queue = "queue" defaultShards = 10 defaultMaxSamplesPerSend = 100 // The queue capacity is per shard. defaultQueueCapacity = 100 * 1024 / defaultShards defaultBatchSendDeadline = 5 * time.Second logRateLimit = 0.1 // Limit to 1 log event every 10s logBurst = 10 ) var ( sentSamplesTotal = prometheus.NewCounterVec( prometheus.CounterOpts{ Namespace: namespace, Subsystem: subsystem, Name: "sent_samples_total", Help: "Total number of processed samples sent to remote storage.", }, []string{queue}, ) failedSamplesTotal = prometheus.NewCounterVec( prometheus.CounterOpts{ Namespace: namespace, Subsystem: subsystem, Name: "failed_samples_total", Help: "Total number of processed samples which failed on send to remote storage.", }, []string{queue}, ) droppedSamplesTotal = prometheus.NewCounterVec( prometheus.CounterOpts{ Namespace: namespace, Subsystem: subsystem, Name: "dropped_samples_total", Help: "Total number of samples which were dropped due to the queue being full.", }, []string{queue}, ) sentBatchDuration = prometheus.NewHistogramVec( prometheus.HistogramOpts{ Namespace: namespace, Subsystem: subsystem, Name: "sent_batch_duration_seconds", Help: "Duration of sample batch send calls to the remote storage.", Buckets: prometheus.DefBuckets, }, []string{queue}, ) queueLength = prometheus.NewGaugeVec( prometheus.GaugeOpts{ Namespace: namespace, Subsystem: subsystem, Name: "queue_length", Help: "The number of processed samples queued to be sent to the remote storage.", }, []string{queue}, ) queueCapacity = prometheus.NewGaugeVec( prometheus.GaugeOpts{ Namespace: namespace, Subsystem: subsystem, Name: "queue_capacity", Help: "The capacity of the queue of samples to be sent to the remote storage.", }, []string{queue}, ) ) func init() { prometheus.MustRegister(sentSamplesTotal) prometheus.MustRegister(failedSamplesTotal) prometheus.MustRegister(droppedSamplesTotal) prometheus.MustRegister(sentBatchDuration) prometheus.MustRegister(queueLength) prometheus.MustRegister(queueCapacity) } // StorageClient defines an interface for sending a batch of samples to an // external timeseries database. type StorageClient interface { // Store stores the given samples in the remote storage. Store(model.Samples) error // Name identifies the remote storage implementation. Name() string } // QueueManagerConfig configures a storage queue. type QueueManagerConfig struct { QueueCapacity int // Number of samples to buffer per shard before we start dropping them. Shards int // Number of shards, i.e. amount of concurrency. MaxSamplesPerSend int // Maximum number of samples per send. BatchSendDeadline time.Duration // Maximum time sample will wait in buffer. ExternalLabels model.LabelSet RelabelConfigs []*config.RelabelConfig Client StorageClient } // QueueManager manages a queue of samples to be sent to the Storage // indicated by the provided StorageClient. type QueueManager struct { cfg QueueManagerConfig shards []chan *model.Sample wg sync.WaitGroup done chan struct{} queueName string logLimiter *rate.Limiter } // NewQueueManager builds a new QueueManager. func NewQueueManager(cfg QueueManagerConfig) *QueueManager { if cfg.QueueCapacity == 0 { cfg.QueueCapacity = defaultQueueCapacity } if cfg.Shards == 0 { cfg.Shards = defaultShards } if cfg.MaxSamplesPerSend == 0 { cfg.MaxSamplesPerSend = defaultMaxSamplesPerSend } if cfg.BatchSendDeadline == 0 { cfg.BatchSendDeadline = defaultBatchSendDeadline } shards := make([]chan *model.Sample, cfg.Shards) for i := 0; i < cfg.Shards; i++ { shards[i] = make(chan *model.Sample, cfg.QueueCapacity) } t := &QueueManager{ cfg: cfg, shards: shards, done: make(chan struct{}), queueName: cfg.Client.Name(), logLimiter: rate.NewLimiter(logRateLimit, logBurst), } queueCapacity.WithLabelValues(t.queueName).Set(float64(t.cfg.QueueCapacity)) t.wg.Add(cfg.Shards) return t } // Append queues a sample to be sent to the remote storage. It drops the // sample on the floor if the queue is full. // Always returns nil. func (t *QueueManager) Append(s *model.Sample) error { var snew model.Sample snew = *s snew.Metric = s.Metric.Clone() for ln, lv := range t.cfg.ExternalLabels { if _, ok := s.Metric[ln]; !ok { snew.Metric[ln] = lv } } snew.Metric = model.Metric( relabel.Process(model.LabelSet(snew.Metric), t.cfg.RelabelConfigs...)) if snew.Metric == nil { return nil } fp := snew.Metric.FastFingerprint() shard := uint64(fp) % uint64(t.cfg.Shards) select { case t.shards[shard] <- &snew: queueLength.WithLabelValues(t.queueName).Inc() default: droppedSamplesTotal.WithLabelValues(t.queueName).Inc() if t.logLimiter.Allow() { log.Warn("Remote storage queue full, discarding sample. Multiple subsequent messages of this kind may be suppressed.") } } return nil } // NeedsThrottling implements storage.SampleAppender. It will always return // false as a remote storage drops samples on the floor if backlogging instead // of asking for throttling. func (*QueueManager) NeedsThrottling() bool { return false } // Start the queue manager sending samples to the remote storage. // Does not block. func (t *QueueManager) Start() { for i := 0; i < t.cfg.Shards; i++ { go t.runShard(i) } } // Stop stops sending samples to the remote storage and waits for pending // sends to complete. func (t *QueueManager) Stop() { log.Infof("Stopping remote storage...") for _, shard := range t.shards { close(shard) } t.wg.Wait() log.Info("Remote storage stopped.") } func (t *QueueManager) runShard(i int) { defer t.wg.Done() shard := t.shards[i] // Send batches of at most MaxSamplesPerSend samples to the remote storage. // If we have fewer samples than that, flush them out after a deadline // anyways. pendingSamples := model.Samples{} for { select { case s, ok := <-shard: if !ok { if len(pendingSamples) > 0 { log.Infof("Flushing %d samples to remote storage...", len(pendingSamples)) t.sendSamples(pendingSamples) log.Infof("Done flushing.") } return } queueLength.WithLabelValues(t.queueName).Dec() pendingSamples = append(pendingSamples, s) for len(pendingSamples) >= t.cfg.MaxSamplesPerSend { t.sendSamples(pendingSamples[:t.cfg.MaxSamplesPerSend]) pendingSamples = pendingSamples[t.cfg.MaxSamplesPerSend:] } case <-time.After(t.cfg.BatchSendDeadline): if len(pendingSamples) > 0 { t.sendSamples(pendingSamples) pendingSamples = pendingSamples[:0] } } } } func (t *QueueManager) sendSamples(s model.Samples) { // Samples are sent to the remote storage on a best-effort basis. If a // sample isn't sent correctly the first time, it's simply dropped on the // floor. begin := time.Now() err := t.cfg.Client.Store(s) duration := time.Since(begin).Seconds() if err != nil { log.Warnf("error sending %d samples to remote storage: %s", len(s), err) failedSamplesTotal.WithLabelValues(t.queueName).Add(float64(len(s))) } else { sentSamplesTotal.WithLabelValues(t.queueName).Add(float64(len(s))) } sentBatchDuration.WithLabelValues(t.queueName).Observe(duration) }