Add instrumentation and refactor things around "rushed mode"
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a2cd479058
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87ef24cd25
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@ -41,26 +41,21 @@ const (
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// Constants to control the hysteresis of entering and leaving "rushed
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// Constants to control the hysteresis of entering and leaving "rushed
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// mode". In rushed mode, the dirty series count is ignored for
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// mode". In rushed mode, the dirty series count is ignored for
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// checkpointing, and series files are not synced if the adaptive sync
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// checkpointing, series are maintained as frequently as possible, and
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// strategy is used.
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// series files are not synced if the adaptive sync strategy is used.
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//
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persintenceUrgencyScoreForEnteringRushedMode = 0.8
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// If we reach 80% of -storage.local.max-chunks-to-persist, we enter
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persintenceUrgencyScoreForLeavingRushedMode = 0.7
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// "rushed mode".
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factorChunksToPersistForEnteringRushedMode = 0.8
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// This factor times -storage.local.memory-chunks is the number of
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// To leave "rushed mode", we must be below 70% of
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// memory chunks we tolerate before suspending ingestion (TODO!). It is
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// -storage.local.max-chunks-to-persist.
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// also a basis for calculating the persistenceUrgencyScore.
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factorChunksToPersistForLeavingRushedMode = 0.7
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toleranceFactorForMemChunks = 1.1
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// To enter "rushed mode" for other reasons (see below), we must have at
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// This factor times -storage.local.max-chunks-to-persist is the minimum
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// least 30% of -storage.local.max-chunks-to-persist.
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// required number of chunks waiting for persistence before the number
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factorMinChunksToPersistToAllowRushedMode = 0.3
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// of chunks in memory may influence the persistenceUrgencyScore. (In
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// If the number of chunks in memory reaches 110% of
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// other words: if there are no chunks to persist, it doesn't help chunk
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// -storage.local.memory-chunks, we will enter "rushed mode" (provided
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// eviction if we speed up persistence.)
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// we have enough chunks to persist at all, see
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factorMinChunksToPersist = 0.2
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// factorMinChunksToPersistToAllowRushedMode.)
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factorMemChunksForEnteringRushedMode = 1.1
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// To leave "rushed mode", we must be below 105% of
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// -storage.local.memory-chunks.
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factorMemChunksForLeavingRushedMode = 1.05
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)
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)
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var (
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var (
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@ -155,6 +150,8 @@ type memorySeriesStorage struct {
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outOfOrderSamplesCount prometheus.Counter
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outOfOrderSamplesCount prometheus.Counter
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invalidPreloadRequestsCount prometheus.Counter
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invalidPreloadRequestsCount prometheus.Counter
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maintainSeriesDuration *prometheus.SummaryVec
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maintainSeriesDuration *prometheus.SummaryVec
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persistenceUrgencyScore prometheus.Gauge
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rushedMode prometheus.Gauge
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}
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}
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// MemorySeriesStorageOptions contains options needed by
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// MemorySeriesStorageOptions contains options needed by
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@ -243,6 +240,18 @@ func NewMemorySeriesStorage(o *MemorySeriesStorageOptions) Storage {
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},
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},
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[]string{seriesLocationLabel},
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[]string{seriesLocationLabel},
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),
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),
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persistenceUrgencyScore: prometheus.NewGauge(prometheus.GaugeOpts{
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Namespace: namespace,
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Subsystem: subsystem,
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Name: "persistence_urgency_score",
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Help: "A score of urgency to persist chunks, 0 is least urgent, 1 most.",
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}),
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rushedMode: prometheus.NewGauge(prometheus.GaugeOpts{
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Namespace: namespace,
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Subsystem: subsystem,
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Name: "rushed_mode",
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Help: "1 if the storage is in rushed mode, 0 otherwise. In rushed mode, the system behaves as if the persistence_urgency_score is 1.",
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}),
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}
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}
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return s
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return s
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}
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}
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@ -256,7 +265,7 @@ func (s *memorySeriesStorage) Start() (err error) {
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case Always:
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case Always:
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syncStrategy = func() bool { return true }
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syncStrategy = func() bool { return true }
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case Adaptive:
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case Adaptive:
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syncStrategy = func() bool { return !s.inRushedMode() }
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syncStrategy = func() bool { return s.calculatePersistenceUrgencyScore() < 1 }
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default:
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default:
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panic("unknown sync strategy")
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panic("unknown sync strategy")
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}
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}
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@ -823,8 +832,8 @@ func (s *memorySeriesStorage) cycleThroughMemoryFingerprints() chan model.Finger
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case <-s.loopStopping:
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case <-s.loopStopping:
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return
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return
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}
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}
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// Reduce the wait time by the backlog score.
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// Reduce the wait time according to the urgency score.
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s.waitForNextFP(s.fpToSeries.length(), s.persistenceBacklogScore())
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s.waitForNextFP(s.fpToSeries.length(), 1-s.calculatePersistenceUrgencyScore())
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count++
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count++
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}
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}
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if count > 0 {
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if count > 0 {
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@ -916,8 +925,9 @@ loop:
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// would be counterproductive, as it would slow down chunk persisting even more,
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// would be counterproductive, as it would slow down chunk persisting even more,
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// while in a situation like that, where we are clearly lacking speed of disk
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// while in a situation like that, where we are clearly lacking speed of disk
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// maintenance, the best we can do for crash recovery is to persist chunks as
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// maintenance, the best we can do for crash recovery is to persist chunks as
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// quickly as possible. So only checkpoint if the storage is not in "rushed mode".
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// quickly as possible. So only checkpoint if the urgency score is < 1.
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if dirtySeriesCount >= s.checkpointDirtySeriesLimit && !s.inRushedMode() {
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if dirtySeriesCount >= s.checkpointDirtySeriesLimit &&
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s.calculatePersistenceUrgencyScore() < 1 {
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checkpointTimer.Reset(0)
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checkpointTimer.Reset(0)
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}
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}
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}
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}
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@ -1161,78 +1171,83 @@ func (s *memorySeriesStorage) incNumChunksToPersist(by int) {
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atomic.AddInt64(&s.numChunksToPersist, int64(by))
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atomic.AddInt64(&s.numChunksToPersist, int64(by))
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}
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}
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// inRushedMode returns whether the storage is in "rushed mode", which is the
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// calculatePersistenceUrgencyScore calculates and returns an urgency score for
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// case if there are too many chunks waiting for persistence or there are too
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// the speed of persisting chunks. The score is between 0 and 1, where 0 means
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// many chunks in memory. The method is not goroutine safe (but only ever called
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// no urgency at all and 1 means highest urgency.
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// from the goroutine dealing with series maintenance). Changes of degradation
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//
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// mode are logged.
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// The score is the maximum of the two following sub-scores:
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func (s *memorySeriesStorage) inRushedMode() bool {
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//
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chunksToPersist := float64(s.getNumChunksToPersist())
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// (1) The first sub-score is the number of chunks waiting for persistence
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memChunks := float64(atomic.LoadInt64(&numMemChunks))
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// divided by the maximum number of chunks allowed to be waiting for
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// persistence.
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if s.rushed {
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//
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// We are already in rushed mode, so check if we can get out of
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// (2) If there are more chunks in memory than allowed AND there are more chunks
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// it, using the lower hysteresis thresholds.
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// waiting for persistence than factorMinChunksToPersist times
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s.rushed = chunksToPersist > float64(s.maxChunksToPersist)*factorChunksToPersistForLeavingRushedMode ||
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// -storage.local.max-chunks-to-persist, then the second sub-score is the
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memChunks > float64(s.maxMemoryChunks)*factorMemChunksForLeavingRushedMode
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// fraction the number of memory chunks has reached between
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if !s.rushed {
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// -storage.local.memory-chunks and toleranceFactorForMemChunks times
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log.Warn("Storage has left rushed mode. Things are back to normal.")
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// -storage.local.memory-chunks.
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}
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//
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return s.rushed
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// Should the score ever hit persintenceUrgencyScoreForEnteringRushedMode, the
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}
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// storage locks into "rushed mode", in which the returned score is always
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// We are not rushed yet, so check the higher hysteresis threshold if we enter it now.
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// bumped up to 1 until the non-bumped score is below
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// First WRT chunksToPersist...
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// persintenceUrgencyScoreForLeavingRushedMode.
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s.rushed = chunksToPersist > float64(s.maxChunksToPersist)*factorChunksToPersistForEnteringRushedMode
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//
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if s.rushed {
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// This method is not goroutine-safe, but it is only ever called by the single
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log.Warnf(
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// goroutine that is in charge of series maintenance. According to the returned
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"%.0f chunks waiting for persistence (%.1f%% of the allowed maximum %d). Storage is now in rushed mode. Series files are not synced anymore if following the adaptive strategy. Checkpoints are not performed more often than every %v. Series maintenance happens as frequently as possible.",
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// score, series maintenence should be sped up. If a score of 1 is returned,
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chunksToPersist,
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// checkpointing based on dirty-series count should be disabled, and series
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chunksToPersist*100/float64(s.maxChunksToPersist),
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// files should not by synced anymore provided the user has specified the
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s.maxChunksToPersist,
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// adaptive sync strategy.
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s.checkpointInterval,
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func (s *memorySeriesStorage) calculatePersistenceUrgencyScore() float64 {
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)
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var (
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return true
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chunksToPersist = float64(s.getNumChunksToPersist())
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}
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maxChunksToPersist = float64(s.maxChunksToPersist)
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// ...then WRT memChunks.
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memChunks = float64(atomic.LoadInt64(&numMemChunks))
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s.rushed = memChunks > float64(s.maxMemoryChunks)*factorMemChunksForEnteringRushedMode &&
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maxMemChunks = float64(s.maxMemoryChunks)
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chunksToPersist > float64(s.maxChunksToPersist)*factorMinChunksToPersistToAllowRushedMode
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)
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if s.rushed {
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score := chunksToPersist / maxChunksToPersist
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log.Warnf(
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if chunksToPersist > maxChunksToPersist*factorMinChunksToPersist {
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"%.0f chunks in memory (%.1f%% of the allowed maximum %d). Storage is now in rushed mode. Series files are not synced anymore if following the adaptive strategy. Checkpoints are not performed more often than every %v. Series maintenance happens as frequently as possible.",
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score = math.Max(
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memChunks,
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memChunks*100/float64(s.maxMemoryChunks),
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s.maxMemoryChunks,
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s.checkpointInterval,
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)
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}
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return s.rushed
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}
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// persistenceBacklogScore works similar to inRushedMode, but returns a score
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// about how close we are to degradation. This score is 1.0 if no chunks are
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// waiting for persistence or we are not over the threshold for memory chunks,
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// and 0.0 if we are at or above the thresholds. However, the score is always 0
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// if the storage is currently in rushed mode. (Getting out of it has a
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// hysteresis, so we might be below thresholds again but still in rushed mode.)
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func (s *memorySeriesStorage) persistenceBacklogScore() float64 {
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if s.inRushedMode() {
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return 0
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}
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chunksToPersist := float64(s.getNumChunksToPersist())
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score := 1 - chunksToPersist/(float64(s.maxChunksToPersist)*factorChunksToPersistForEnteringRushedMode)
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if chunksToPersist > float64(s.maxChunksToPersist)*factorMinChunksToPersistToAllowRushedMode {
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memChunks := float64(atomic.LoadInt64(&numMemChunks))
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score = math.Min(
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score,
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score,
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1-(memChunks/float64(s.maxMemoryChunks)-1)/(factorMemChunksForEnteringRushedMode-1),
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(memChunks/maxMemChunks-1)/(toleranceFactorForMemChunks-1),
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)
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)
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}
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}
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if score < 0 {
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return 0
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}
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if score > 1 {
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if score > 1 {
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score = 1
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}
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s.persistenceUrgencyScore.Set(score)
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if s.rushed {
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// We are already in rushed mode. If the score is still above
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// persintenceUrgencyScoreForLeavingRushedMode, return 1 and
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// leave things as they are.
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if score > persintenceUrgencyScoreForLeavingRushedMode {
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return 1
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}
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// We are out of rushed mode!
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s.rushed = false
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s.rushedMode.Set(0)
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log.
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With("urgencyScore", score).
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With("chunksToPersist", chunksToPersist).
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With("maxChunksToPersist", maxChunksToPersist).
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With("memoryChunks", memChunks).
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With("maxMemoryChunks", maxMemChunks).
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Warn("Storage has left rushed mode.")
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return score
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}
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if score > persintenceUrgencyScoreForEnteringRushedMode {
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// Enter rushed mode.
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s.rushed = true
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s.rushedMode.Set(1)
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log.
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With("urgencyScore", score).
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With("chunksToPersist", chunksToPersist).
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With("maxChunksToPersist", maxChunksToPersist).
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With("memoryChunks", memChunks).
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With("maxMemoryChunks", maxMemChunks).
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Warn("Storage has entered rushed mode.")
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return 1
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return 1
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}
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}
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return score
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return score
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@ -1253,6 +1268,8 @@ func (s *memorySeriesStorage) Describe(ch chan<- *prometheus.Desc) {
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ch <- s.invalidPreloadRequestsCount.Desc()
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ch <- s.invalidPreloadRequestsCount.Desc()
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ch <- numMemChunksDesc
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ch <- numMemChunksDesc
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s.maintainSeriesDuration.Describe(ch)
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s.maintainSeriesDuration.Describe(ch)
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ch <- s.persistenceUrgencyScore.Desc()
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ch <- s.rushedMode.Desc()
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}
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}
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// Collect implements prometheus.Collector.
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// Collect implements prometheus.Collector.
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@ -1282,4 +1299,6 @@ func (s *memorySeriesStorage) Collect(ch chan<- prometheus.Metric) {
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float64(atomic.LoadInt64(&numMemChunks)),
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float64(atomic.LoadInt64(&numMemChunks)),
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)
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)
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s.maintainSeriesDuration.Collect(ch)
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s.maintainSeriesDuration.Collect(ch)
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ch <- s.persistenceUrgencyScore
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ch <- s.rushedMode
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}
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}
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