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@ -33,24 +33,27 @@ const (
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subsystem = "remote_storage"
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queue = "queue"
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// With a maximum of 500 shards, assuming an average of 100ms remote write
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// time and 100 samples per batch, we will be able to push 500k samples/s.
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defaultMaxShards = 500
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// With a maximum of 1000 shards, assuming an average of 100ms remote write
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// time and 100 samples per batch, we will be able to push 1M samples/s.
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defaultMaxShards = 1000
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defaultMaxSamplesPerSend = 100
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// defaultQueueCapacity is per shard - at 500 shards, this will buffer
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// 50m samples. It is configured to buffer 1024 batches, which at 100ms
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// defaultQueueCapacity is per shard - at 1000 shards, this will buffer
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// 100M samples. It is configured to buffer 1000 batches, which at 100ms
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// per batch is 1:40mins.
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defaultQueueCapacity = defaultMaxSamplesPerSend * 1024
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defaultQueueCapacity = defaultMaxSamplesPerSend * 1000
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defaultBatchSendDeadline = 5 * time.Second
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// We track samples in/out and how long pushes take using an Exponentially
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// Weighted Moving Average.
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ewmaWeight = 0.2
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shardUpdateDuration = 10 * time.Second
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shardToleranceFraction = 0.3 // allow 30% too many shards before scaling down
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ewmaWeight = 0.2
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shardUpdateDuration = 10 * time.Second
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logRateLimit = 0.1 // Limit to 1 log event every 10s
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// Allow 30% too many shards before scaling down.
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shardToleranceFraction = 0.3
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// Limit to 1 log event every 10s
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logRateLimit = 0.1
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logBurst = 10
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)
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@ -114,7 +117,7 @@ var (
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prometheus.GaugeOpts{
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Namespace: namespace,
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Subsystem: subsystem,
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Name: "shards_total",
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Name: "shards",
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Help: "The number of shards used for parallel sending to the remote storage.",
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},
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[]string{queue},
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@ -196,14 +199,10 @@ func NewQueueManager(cfg QueueManagerConfig) *QueueManager {
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samplesOut: newEWMARate(ewmaWeight, shardUpdateDuration),
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samplesOutDuration: newEWMARate(ewmaWeight, shardUpdateDuration),
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}
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t.shards = t.newShards(1)
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numShards.WithLabelValues(t.queueName).Set(float64(1))
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t.shards = t.newShards(t.numShards)
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numShards.WithLabelValues(t.queueName).Set(float64(t.numShards))
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queueCapacity.WithLabelValues(t.queueName).Set(float64(t.cfg.QueueCapacity))
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t.wg.Add(2)
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go t.updateShardsLoop()
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go t.reshardLoop()
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return t
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}
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@ -253,6 +252,10 @@ func (*QueueManager) NeedsThrottling() bool {
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// Start the queue manager sending samples to the remote storage.
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// Does not block.
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func (t *QueueManager) Start() {
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t.wg.Add(2)
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go t.updateShardsLoop()
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go t.reshardLoop()
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t.shardsMtx.Lock()
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defer t.shardsMtx.Unlock()
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t.shards.start()
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@ -264,6 +267,7 @@ func (t *QueueManager) Stop() {
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log.Infof("Stopping remote storage...")
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close(t.quit)
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t.wg.Wait()
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t.shardsMtx.Lock()
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defer t.shardsMtx.Unlock()
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t.shards.stop()
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@ -277,14 +281,14 @@ func (t *QueueManager) updateShardsLoop() {
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for {
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select {
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case <-ticker:
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t.caclulateDesiredShards()
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t.calculateDesiredShards()
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case <-t.quit:
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return
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}
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}
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}
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func (t *QueueManager) caclulateDesiredShards() {
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func (t *QueueManager) calculateDesiredShards() {
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t.samplesIn.tick()
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t.samplesOut.tick()
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t.samplesOutDuration.tick()
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@ -292,7 +296,7 @@ func (t *QueueManager) caclulateDesiredShards() {
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// We use the number of incoming samples as a prediction of how much work we
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// will need to do next iteration. We add to this any pending samples
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// (received - send) so we can catch up with any backlog. We use the average
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// outgoing batch latency to work out how how many shards we need.
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// outgoing batch latency to work out how many shards we need.
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var (
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samplesIn = t.samplesIn.rate()
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samplesOut = t.samplesOut.rate()
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@ -314,7 +318,7 @@ func (t *QueueManager) caclulateDesiredShards() {
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log.Debugf("QueueManager.caclulateDesiredShards samplesIn=%f, samplesOut=%f, samplesPending=%f, desiredShards=%f",
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samplesIn, samplesOut, samplesPending, desiredShards)
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// Changes in the number of shards must be greated than shardToleranceFraction.
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// Changes in the number of shards must be greater than shardToleranceFraction.
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var (
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lowerBound = float64(t.numShards) * (1. - shardToleranceFraction)
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upperBound = float64(t.numShards) * (1. + shardToleranceFraction)
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