mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-11-21 14:44:00 +00:00
bd4698bb7a
This should improve deduplication accuracy for blocks with higher number of samples.
104 lines
3.1 KiB
Go
104 lines
3.1 KiB
Go
package storage
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import (
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"flag"
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"github.com/VictoriaMetrics/metrics"
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)
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var minScrapeInterval = flag.Duration("dedup.minScrapeInterval", 0, "Remove superflouos samples from time series if they are located closer to each other than this duration. "+
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"This may be useful for reducing overhead when multiple identically configured Prometheus instances write data to the same VictoriaMetrics. "+
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"Deduplication is disabled if the -dedup.minScrapeInterval is 0")
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func getMinDelta() int64 {
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// Divide minScrapeInterval by 2 in order to preserve proper data points.
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// For instance, if minScrapeInterval=10, the following time series:
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// 10 15 19 25 30 34 41
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// Would be unexpectedly converted to:
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// 10 25 41
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// When dividing minScrapeInterval by 2, it will be converted to the expected:
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// 10 19 30 41
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return minScrapeInterval.Milliseconds() / 2
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}
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// DeduplicateSamples removes samples from src* if they are closer to each other than minScrapeInterval.
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func DeduplicateSamples(srcTimestamps []int64, srcValues []float64) ([]int64, []float64) {
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if *minScrapeInterval <= 0 {
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return srcTimestamps, srcValues
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}
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minDelta := getMinDelta()
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if !needsDedup(srcTimestamps, minDelta) {
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// Fast path - nothing to deduplicate
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return srcTimestamps, srcValues
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}
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// Slow path - dedup data points.
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prevTimestamp := srcTimestamps[0]
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dstTimestamps := srcTimestamps[:1]
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dstValues := srcValues[:1]
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dedups := 0
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for i := 1; i < len(srcTimestamps); i++ {
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ts := srcTimestamps[i]
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if ts-prevTimestamp < minDelta {
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dedups++
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continue
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}
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dstTimestamps = append(dstTimestamps, ts)
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dstValues = append(dstValues, srcValues[i])
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prevTimestamp = ts
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}
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dedupsDuringSelect.Add(dedups)
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return dstTimestamps, dstValues
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}
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var dedupsDuringSelect = metrics.NewCounter(`deduplicated_samples_total{type="select"}`)
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func deduplicateSamplesDuringMerge(srcTimestamps []int64, srcValues []int64) ([]int64, []int64) {
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if *minScrapeInterval <= 0 {
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return srcTimestamps, srcValues
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}
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if len(srcTimestamps) < 32 {
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// Do not de-duplicate small number of samples during merge
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// in order to improve deduplication accuracy on later stages.
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return srcTimestamps, srcValues
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}
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minDelta := getMinDelta()
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if !needsDedup(srcTimestamps, minDelta) {
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// Fast path - nothing to deduplicate
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return srcTimestamps, srcValues
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}
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// Slow path - dedup data points.
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prevTimestamp := srcTimestamps[0]
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dstTimestamps := srcTimestamps[:1]
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dstValues := srcValues[:1]
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dedups := 0
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for i := 1; i < len(srcTimestamps); i++ {
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ts := srcTimestamps[i]
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if ts-prevTimestamp < minDelta {
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dedups++
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continue
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}
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dstTimestamps = append(dstTimestamps, ts)
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dstValues = append(dstValues, srcValues[i])
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prevTimestamp = ts
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}
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dedupsDuringMerge.Add(dedups)
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return dstTimestamps, dstValues
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}
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var dedupsDuringMerge = metrics.NewCounter(`deduplicated_samples_total{type="merge"}`)
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func needsDedup(timestamps []int64, minDelta int64) bool {
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if len(timestamps) == 0 {
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return false
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}
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prevTimestamp := timestamps[0]
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for _, ts := range timestamps[1:] {
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if ts-prevTimestamp < minDelta {
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return true
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}
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prevTimestamp = ts
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}
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return false
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}
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