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Code Issues Actions 8 Packages Projects Releases Wiki Activity

lib/storage: follow-up after 7c0ae3a86a

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- Update docs at https://docs.victoriametrics.com/#deduplication
- Optimize the deduplication loop a bit

Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3333
This commit is contained in:
Aliaksandr Valialkin 2022-12-08 18:10:18 -08:00
parent 7c0ae3a86a
commit 5b9e6b9d24
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7 changed files with 165 additions and 95 deletions
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7
README.md
View File

@ -1351,7 +1351,12 @@ with the enabled de-duplication. See [this section](#deduplication) for details.
## Deduplication
VictoriaMetrics leaves a single raw sample with the biggest timestamp per each `-dedup.minScrapeInterval` discrete interval if `-dedup.minScrapeInterval` is set to positive duration. For example, `-dedup.minScrapeInterval=60s` would leave a single raw sample with the biggest timestamp per each discrete 60s interval. If multiple raw samples have the same biggest timestamp on the given `-dedup.minScrapeInterval` discrete interval, then an arbitrary sample out of these samples is left. This aligns with the [staleness rules in Prometheus](https://prometheus.io/docs/prometheus/latest/querying/basics/#staleness).
VictoriaMetrics leaves a single raw sample with the biggest timestamp per each `-dedup.minScrapeInterval` discrete interval
if `-dedup.minScrapeInterval` is set to positive duration. For example, `-dedup.minScrapeInterval=60s` would leave a single
raw sample with the biggest timestamp per each discrete 60s interval.
This aligns with the [staleness rules in Prometheus](https://prometheus.io/docs/prometheus/latest/querying/basics/#staleness).
If multiple raw samples have the same biggest timestamp on the given `-dedup.minScrapeInterval` discrete interval, then the sample with the biggest value is left.
The `-dedup.minScrapeInterval=D` is equivalent to `-downsampling.period=0s:D` if [downsampling](#downsampling) is enabled. So it is safe to use deduplication and downsampling simultaneously.

2
docs/CHANGELOG.md
View File

@ -19,6 +19,7 @@ The following tip changes can be tested by building VictoriaMetrics components f
**Update note 2:** this release splits `type="indexdb"` metrics into `type="indexdb/inmemory"` and `type="indexdb/file"` metrics. This may break old dashboards and alerting rules, which contain [label filter](https://docs.victoriametrics.com/keyConcepts.html#filtering) on `{type="indexdb"}`. Such label filter must be substituted with `{type=~"indexdb.*"}`, so it matches `indexdb` from the previous releases and `indexdb/inmemory` + `indexdb/file` from new releases. It is recommended upgrading to the latest available dashboards and alerting rules mentioned in [these docs](https://docs.victoriametrics.com/#monitoring), since they already contain fixed label filters.
* FEATURE: leave a sample with the biggest value for identical timestamps per each `-dedup.minScrapeInterval` discrete interval when the [deduplication](https://docs.victoriametrics.com/#deduplication) is enabled. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3333).
* FEATURE: add `-inmemoryDataFlushInterval` command-line flag, which can be used for controlling the frequency of in-memory data flush to disk. The data flush frequency can be reduced when VictoriaMetrics stores data to low-end flash device with limited number of write cycles (for example, on Raspberry PI). See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3337).
* FEATURE: expose additional metrics for `indexdb` and `storage` parts stored in memory and for `indexdb` parts stored in files (see [storage docs](https://docs.victoriametrics.com/#storage) for technical details):
* `vm_active_merges{type="storage/inmemory"}` - active merges for in-memory `storage` parts
@ -56,7 +57,6 @@ The following tip changes can be tested by building VictoriaMetrics components f
* FEATURE: [vmalert](https://docs.victoriametrics.com/vmalert.html): add `-remoteWrite.sendTimeout` command-line flag, which allows configuring timeout for sending data to `-remoteWrite.url`. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3408).
* FEATURE: [vmctl](https://docs.victoriametrics.com/vmctl.html): add ability to migrate data between VictoriaMetrics clusters with automatic tenants discovery. See [these docs](https://docs.victoriametrics.com/vmctl.html#cluster-to-cluster-migration-mode) and [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2930).
* FEATURE: [vmctl](https://docs.victoriametrics.com/vmctl.html): add ability to copy data from sources via Prometheus `remote_read` protocol. See [these docs](https://docs.victoriametrics.com/vmctl.html#migrating-data-by-remote-read-protocol). The related issues: [one](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3132) and [two](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1101).
* FEATURE: [deduplication](https://docs.victoriametrics.com/#deduplication): leave raw sample with the biggest value for identical timestamps per each `-dedup.minScrapeInterval` discrete interval when the [deduplication](https://docs.victoriametrics.com/#deduplication) is enabled. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3333).
* FEATURE: [vmui](https://docs.victoriametrics.com/#vmui): allow changing timezones for the requested data. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3075).
* FEATURE: [vmui](https://docs.victoriametrics.com/#vmui): provide fast path for hiding results for all the queries except the given one by clicking `eye` icon with `ctrl` key pressed. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3446).
* FEATURE: [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html): add `range_trim_spikes(phi, q)` function for trimming `phi` percent of the largest spikes per each time series returned by `q`. See [these docs](https://docs.victoriametrics.com/MetricsQL.html#range_trim_spikes).

7
docs/README.md
View File

@ -1352,7 +1352,12 @@ with the enabled de-duplication. See [this section](#deduplication) for details.
## Deduplication
VictoriaMetrics leaves a single raw sample with the biggest timestamp per each `-dedup.minScrapeInterval` discrete interval if `-dedup.minScrapeInterval` is set to positive duration. For example, `-dedup.minScrapeInterval=60s` would leave a single raw sample with the biggest timestamp per each discrete 60s interval. If multiple raw samples have the same biggest timestamp on the given `-dedup.minScrapeInterval` discrete interval, then an arbitrary sample out of these samples is left. This aligns with the [staleness rules in Prometheus](https://prometheus.io/docs/prometheus/latest/querying/basics/#staleness).
VictoriaMetrics leaves a single raw sample with the biggest timestamp per each `-dedup.minScrapeInterval` discrete interval
if `-dedup.minScrapeInterval` is set to positive duration. For example, `-dedup.minScrapeInterval=60s` would leave a single
raw sample with the biggest timestamp per each discrete 60s interval.
This aligns with the [staleness rules in Prometheus](https://prometheus.io/docs/prometheus/latest/querying/basics/#staleness).
If multiple raw samples have the same biggest timestamp on the given `-dedup.minScrapeInterval` discrete interval, then the sample with the biggest value is left.
The `-dedup.minScrapeInterval=D` is equivalent to `-downsampling.period=0s:D` if [downsampling](#downsampling) is enabled. So it is safe to use deduplication and downsampling simultaneously.

7
docs/Single-server-VictoriaMetrics.md
View File

@ -1355,7 +1355,12 @@ with the enabled de-duplication. See [this section](#deduplication) for details.
## Deduplication
VictoriaMetrics leaves a single raw sample with the biggest timestamp per each `-dedup.minScrapeInterval` discrete interval if `-dedup.minScrapeInterval` is set to positive duration. For example, `-dedup.minScrapeInterval=60s` would leave a single raw sample with the biggest timestamp per each discrete 60s interval. If multiple raw samples have the same biggest timestamp on the given `-dedup.minScrapeInterval` discrete interval, then an arbitrary sample out of these samples is left. This aligns with the [staleness rules in Prometheus](https://prometheus.io/docs/prometheus/latest/querying/basics/#staleness).
VictoriaMetrics leaves a single raw sample with the biggest timestamp per each `-dedup.minScrapeInterval` discrete interval
if `-dedup.minScrapeInterval` is set to positive duration. For example, `-dedup.minScrapeInterval=60s` would leave a single
raw sample with the biggest timestamp per each discrete 60s interval.
This aligns with the [staleness rules in Prometheus](https://prometheus.io/docs/prometheus/latest/querying/basics/#staleness).
If multiple raw samples have the same biggest timestamp on the given `-dedup.minScrapeInterval` discrete interval, then the sample with the biggest value is left.
The `-dedup.minScrapeInterval=D` is equivalent to `-downsampling.period=0s:D` if [downsampling](#downsampling) is enabled. So it is safe to use deduplication and downsampling simultaneously.

85
lib/storage/dedup.go
View File

@ -34,37 +34,40 @@ func DeduplicateSamples(srcTimestamps []int64, srcValues []float64, dedupInterva
tsNext -= tsNext % dedupInterval
dstTimestamps := srcTimestamps[:0]
dstValues := srcValues[:0]
var tsPrev int64
var value, valuePrev float64
for i, ts := range srcTimestamps[1:] {
value = srcValues[i]
tsCur := srcTimestamps[i]
if tsCur == tsPrev && value < valuePrev {
// prefer biggest value on timestamp conflict
value = valuePrev
}
valuePrev = value
tsPrev = tsCur
if ts <= tsNext {
continue
}
dstTimestamps = append(dstTimestamps, tsCur)
dstValues = append(dstValues, value)
// Choose the maximum value with the timestamp equal to tsPrev.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3333
j := i
tsPrev := srcTimestamps[j]
vPrev := srcValues[j]
for j > 0 && srcTimestamps[j-1] == tsPrev {
j--
if srcValues[j] > vPrev {
vPrev = srcValues[j]
}
}
dstTimestamps = append(dstTimestamps, tsPrev)
dstValues = append(dstValues, vPrev)
tsNext += dedupInterval
if tsNext < ts {
tsNext = ts + dedupInterval - 1
tsNext -= tsNext % dedupInterval
}
}
ts := srcTimestamps[len(srcTimestamps)-1]
v := srcValues[len(srcValues)-1]
dstTimestamps = append(dstTimestamps, ts)
if ts == tsPrev && v < value {
v = value
j := len(srcTimestamps) - 1
tsPrev := srcTimestamps[j]
vPrev := srcValues[j]
for j > 0 && srcTimestamps[j-1] == tsPrev {
j--
if srcValues[j] > vPrev {
vPrev = srcValues[j]
}
}
dstValues = append(dstValues, v)
dstTimestamps = append(dstTimestamps, tsPrev)
dstValues = append(dstValues, vPrev)
return dstTimestamps, dstValues
}
@ -77,36 +80,40 @@ func deduplicateSamplesDuringMerge(srcTimestamps, srcValues []int64, dedupInterv
tsNext -= tsNext % dedupInterval
dstTimestamps := srcTimestamps[:0]
dstValues := srcValues[:0]
var tsPrev int64
var value, valuePrev int64
for i, ts := range srcTimestamps[1:] {
value = srcValues[i]
tsCur := srcTimestamps[i]
if tsCur == tsPrev && value < valuePrev {
// prefer biggest value on timestamp conflict
value = valuePrev
}
valuePrev = value
tsPrev = tsCur
if ts <= tsNext {
continue
}
dstTimestamps = append(dstTimestamps, tsCur)
dstValues = append(dstValues, value)
// Choose the maximum value with the timestamp equal to tsPrev.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3333
j := i
tsPrev := srcTimestamps[j]
vPrev := srcValues[j]
for j > 0 && srcTimestamps[j-1] == tsPrev {
j--
if srcValues[j] > vPrev {
vPrev = srcValues[j]
}
}
dstTimestamps = append(dstTimestamps, tsPrev)
dstValues = append(dstValues, vPrev)
tsNext += dedupInterval
if tsNext < ts {
tsNext = ts + dedupInterval - 1
tsNext -= tsNext % dedupInterval
}
}
ts := srcTimestamps[len(srcTimestamps)-1]
v := srcValues[len(srcValues)-1]
dstTimestamps = append(dstTimestamps, ts)
if ts == tsPrev && v < value {
v = value
j := len(srcTimestamps) - 1
tsPrev := srcTimestamps[j]
vPrev := srcValues[j]
for j > 0 && srcTimestamps[j-1] == tsPrev {
j--
if srcValues[j] > vPrev {
vPrev = srcValues[j]
}
}
dstValues = append(dstValues, v)
dstTimestamps = append(dstTimestamps, tsPrev)
dstValues = append(dstValues, vPrev)
return dstTimestamps, dstValues
}

122
lib/storage/dedup_test.go
View File

@ -35,13 +35,11 @@ func TestNeedsDedup(t *testing.T) {
f(10, []int64{0, 31, 49}, false)
}
func TestDeduplicateSamples(t *testing.T) {
// Disable deduplication before exit, since the rest of tests expect disabled dedup.
f := func(scrapeInterval time.Duration, timestamps, timestampsExpected []int64, values, valuesExpected []float64) {
func TestDeduplicateSamplesWithIdenticalTimestamps(t *testing.T) {
f := func(scrapeInterval time.Duration, timestamps []int64, values []float64, timestampsExpected []int64, valuesExpected []float64) {
t.Helper()
timestampsCopy := make([]int64, len(timestamps))
copy(timestampsCopy, timestamps)
timestampsCopy := append([]int64{}, timestamps...)
dedupInterval := scrapeInterval.Milliseconds()
timestampsCopy, values = DeduplicateSamples(timestampsCopy, values, dedupInterval)
if !reflect.DeepEqual(timestampsCopy, timestampsExpected) {
@ -61,57 +59,77 @@ func TestDeduplicateSamples(t *testing.T) {
t.Fatalf("invalid DeduplicateSamples(%v) values for the second call;\ngot\n%v\nwant\n%v", timestamps, values, valuesCopy)
}
}
f(time.Millisecond, nil, []int64{}, []float64{}, []float64{})
f(time.Millisecond, []int64{123}, []int64{123}, []float64{0}, []float64{0})
f(time.Millisecond, []int64{123, 456}, []int64{123, 456}, []float64{0, 1}, []float64{0, 1})
f(time.Second, []int64{1000, 1000}, []float64{2, 1}, []int64{1000}, []float64{2})
f(time.Second, []int64{1001, 1001}, []float64{2, 1}, []int64{1001}, []float64{2})
f(time.Second, []int64{1000, 1001, 1001, 1001, 2001}, []float64{1, 2, 5, 3, 0}, []int64{1000, 1001, 2001}, []float64{1, 5, 0})
}
// pick the biggest value on the interval, no matter what order is
f(time.Millisecond,
[]int64{0, 0, 0, 1, 1, 2, 3, 3, 3, 4},
[]int64{0, 1, 2, 3, 4},
[]float64{0, 1, 2, 3, 4, 5, 6, 7, 8, 9},
[]float64{2, 4, 5, 8, 9})
f(time.Millisecond,
[]int64{0, 0, 0, 1, 1, 2, 3, 3, 3, 4},
[]int64{0, 1, 2, 3, 4},
[]float64{2, 1, 0, 3, 4, 5, 7, 6, 8, 9},
[]float64{2, 4, 5, 8, 9})
f(time.Millisecond,
[]int64{0, 0, 0, 1, 1, 2, 3, 3, 3, 4},
[]int64{0, 1, 2, 3, 4},
[]float64{1, 2, 0, 4, 3, 5, 8, 6, 7, 9},
[]float64{2, 4, 5, 8, 9})
func TestDeduplicateSamplesDuringMergeWithIdenticalTimestamps(t *testing.T) {
f := func(scrapeInterval time.Duration, timestamps, values, timestampsExpected, valuesExpected []int64) {
t.Helper()
timestampsCopy := append([]int64{}, timestamps...)
// descending values
f(time.Millisecond,
[]int64{0, 0, 0, 1, 1, 2, 3, 3, 3, 4},
[]int64{0, 1, 2, 3, 4},
[]float64{9, 8, 7, 6, 5, 4, 3, 2, 1, 0},
[]float64{9, 6, 4, 3, 0})
dedupInterval := scrapeInterval.Milliseconds()
timestampsCopy, values = deduplicateSamplesDuringMerge(timestampsCopy, values, dedupInterval)
if !reflect.DeepEqual(timestampsCopy, timestampsExpected) {
t.Fatalf("invalid deduplicateSamplesDuringMerge(%v) timestamps;\ngot\n%v\nwant\n%v", timestamps, timestampsCopy, timestampsExpected)
}
if !reflect.DeepEqual(values, valuesExpected) {
t.Fatalf("invalid deduplicateSamplesDuringMerge(%v) values;\ngot\n%v\nwant\n%v", timestamps, values, valuesExpected)
}
f(10*time.Millisecond,
[]int64{0, 9, 11, 13, 13, 29, 29, 29},
[]int64{0, 9, 13, 29},
[]float64{5, 1, 0, 4, 1, 3, 0, 5},
[]float64{5, 1, 4, 5})
// Verify that the second call to deduplicateSamplesDuringMerge doesn't modify samples.
valuesCopy := append([]int64{}, values...)
timestampsCopy, valuesCopy = deduplicateSamplesDuringMerge(timestampsCopy, valuesCopy, dedupInterval)
if !reflect.DeepEqual(timestampsCopy, timestampsExpected) {
t.Fatalf("invalid deduplicateSamplesDuringMerge(%v) timestamps for the second call;\ngot\n%v\nwant\n%v", timestamps, timestampsCopy, timestampsExpected)
}
if !reflect.DeepEqual(valuesCopy, values) {
t.Fatalf("invalid deduplicateSamplesDuringMerge(%v) values for the second call;\ngot\n%v\nwant\n%v", timestamps, values, valuesCopy)
}
}
f(time.Second, []int64{1000, 1000}, []int64{2, 1}, []int64{1000}, []int64{2})
f(time.Second, []int64{1001, 1001}, []int64{2, 1}, []int64{1001}, []int64{2})
f(time.Second, []int64{1000, 1001, 1001, 1001, 2001}, []int64{1, 2, 5, 3, 0}, []int64{1000, 1001, 2001}, []int64{1, 5, 0})
}
// too small dedup interval
f(0,
[]int64{0, 0, 0, 1, 1, 2, 3, 3, 3, 4},
[]int64{0, 0, 0, 1, 1, 2, 3, 3, 3, 4},
[]float64{0, 1, 2, 3, 4, 5, 6, 7, 8, 9},
[]float64{0, 1, 2, 3, 4, 5, 6, 7, 8, 9})
func TestDeduplicateSamples(t *testing.T) {
// Disable deduplication before exit, since the rest of tests expect disabled dedup.
f(100*time.Millisecond,
[]int64{0, 100, 100, 101, 150, 180, 205, 300, 1000},
[]int64{0, 100, 180, 300, 1000},
[]float64{0, 1, 2, 3, 4, 5, 6, 7, 8},
[]float64{0, 2, 5, 7, 8})
f(10*time.Second,
[]int64{10e3, 13e3, 21e3, 22e3, 30e3, 33e3, 39e3, 45e3},
[]int64{10e3, 13e3, 30e3, 39e3, 45e3},
[]float64{0, 1, 2, 3, 4, 5, 6, 7},
[]float64{0, 1, 4, 6, 7})
f := func(scrapeInterval time.Duration, timestamps, timestampsExpected []int64, valuesExpected []float64) {
t.Helper()
timestampsCopy := make([]int64, len(timestamps))
values := make([]float64, len(timestamps))
for i, ts := range timestamps {
timestampsCopy[i] = ts
values[i] = float64(i)
}
dedupInterval := scrapeInterval.Milliseconds()
timestampsCopy, values = DeduplicateSamples(timestampsCopy, values, dedupInterval)
if !reflect.DeepEqual(timestampsCopy, timestampsExpected) {
t.Fatalf("invalid DeduplicateSamples(%v) timestamps;\ngot\n%v\nwant\n%v", timestamps, timestampsCopy, timestampsExpected)
}
if !reflect.DeepEqual(values, valuesExpected) {
t.Fatalf("invalid DeduplicateSamples(%v) values;\ngot\n%v\nwant\n%v", timestamps, values, valuesExpected)
}
// Verify that the second call to DeduplicateSamples doesn't modify samples.
valuesCopy := append([]float64{}, values...)
timestampsCopy, valuesCopy = DeduplicateSamples(timestampsCopy, valuesCopy, dedupInterval)
if !reflect.DeepEqual(timestampsCopy, timestampsExpected) {
t.Fatalf("invalid DeduplicateSamples(%v) timestamps for the second call;\ngot\n%v\nwant\n%v", timestamps, timestampsCopy, timestampsExpected)
}
if !reflect.DeepEqual(valuesCopy, values) {
t.Fatalf("invalid DeduplicateSamples(%v) values for the second call;\ngot\n%v\nwant\n%v", timestamps, values, valuesCopy)
}
}
f(time.Millisecond, nil, []int64{}, []float64{})
f(time.Millisecond, []int64{123}, []int64{123}, []float64{0})
f(time.Millisecond, []int64{123, 456}, []int64{123, 456}, []float64{0, 1})
f(time.Millisecond, []int64{0, 0, 0, 1, 1, 2, 3, 3, 3, 4}, []int64{0, 1, 2, 3, 4}, []float64{2, 4, 5, 8, 9})
f(0, []int64{0, 0, 0, 1, 1, 2, 3, 3, 3, 4}, []int64{0, 0, 0, 1, 1, 2, 3, 3, 3, 4}, []float64{0, 1, 2, 3, 4, 5, 6, 7, 8, 9})
f(100*time.Millisecond, []int64{0, 100, 100, 101, 150, 180, 205, 300, 1000}, []int64{0, 100, 180, 300, 1000}, []float64{0, 2, 5, 7, 8})
f(10*time.Second, []int64{10e3, 13e3, 21e3, 22e3, 30e3, 33e3, 39e3, 45e3}, []int64{10e3, 13e3, 30e3, 39e3, 45e3}, []float64{0, 1, 4, 6, 7})
}
func TestDeduplicateSamplesDuringMerge(t *testing.T) {

30
lib/storage/dedup_timing_test.go
View File

@ -12,6 +12,7 @@ func BenchmarkDeduplicateSamples(b *testing.B) {
values := make([]float64, blockSize)
for i := 0; i < len(timestamps); i++ {
timestamps[i] = int64(i) * 1e3
values[i] = float64(i)
}
for _, minScrapeInterval := range []time.Duration{time.Second, 2 * time.Second, 5 * time.Second, 10 * time.Second} {
b.Run(fmt.Sprintf("minScrapeInterval=%s", minScrapeInterval), func(b *testing.B) {
@ -33,3 +34,32 @@ func BenchmarkDeduplicateSamples(b *testing.B) {
})
}
}
func BenchmarkDeduplicateSamplesDuringMerge(b *testing.B) {
const blockSize = 8192
timestamps := make([]int64, blockSize)
values := make([]int64, blockSize)
for i := 0; i < len(timestamps); i++ {
timestamps[i] = int64(i) * 1e3
values[i] = int64(i)
}
for _, minScrapeInterval := range []time.Duration{time.Second, 2 * time.Second, 5 * time.Second, 10 * time.Second} {
b.Run(fmt.Sprintf("minScrapeInterval=%s", minScrapeInterval), func(b *testing.B) {
dedupInterval := minScrapeInterval.Milliseconds()
b.ReportAllocs()
b.SetBytes(blockSize)
b.RunParallel(func(pb *testing.PB) {
timestampsCopy := make([]int64, 0, blockSize)
valuesCopy := make([]int64, 0, blockSize)
for pb.Next() {
timestampsCopy := append(timestampsCopy[:0], timestamps...)
valuesCopy := append(valuesCopy[:0], values...)
ts, vs := deduplicateSamplesDuringMerge(timestampsCopy, valuesCopy, dedupInterval)
if len(ts) == 0 || len(vs) == 0 {
panic(fmt.Errorf("expecting non-empty results; got\nts=%v\nvs=%v", ts, vs))
}
}
})
})
}
}