lib/storage: leave the last sample per each discrete interval during the deduplicaton

This aligns better with staleness logic in Prometheus - https://prometheus.io/docs/prometheus/latest/querying/basics/#staleness
This commit is contained in:
Aliaksandr Valialkin 2022-05-02 21:35:14 +03:00
parent a186434b50
commit 0d86644d65
No known key found for this signature in database
GPG key ID: A72BEC6CD3D0DED1
7 changed files with 72 additions and 121 deletions

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@ -1097,7 +1097,7 @@ with the enabled de-duplication. See [this section](#deduplication) for details.
## Deduplication ## Deduplication
VictoriaMetrics de-duplicates data points if `-dedup.minScrapeInterval` command-line flag is set to positive duration. For example, `-dedup.minScrapeInterval=60s` would de-duplicate data points on the same time series if they fall within the same discrete 60s bucket. The earliest data point will be kept. In the case of equal timestamps, an arbitrary data point will be kept. See [this comment](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2112#issuecomment-1032587618) for more details on how downsampling works. 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).
The `-dedup.minScrapeInterval=D` is equivalent to `-downsampling.period=0s:D` if [downsampling](#downsampling) is enabled. It is safe to use deduplication and downsampling simultaneously. The `-dedup.minScrapeInterval=D` is equivalent to `-downsampling.period=0s:D` if [downsampling](#downsampling) is enabled. It is safe to use deduplication and downsampling simultaneously.
@ -1622,7 +1622,7 @@ Pass `-help` to VictoriaMetrics in order to see the list of supported command-li
The maximum size in bytes of a single DataDog POST request to /api/v1/series The maximum size in bytes of a single DataDog POST request to /api/v1/series
Supports the following optional suffixes for size values: KB, MB, GB, KiB, MiB, GiB (default 67108864) Supports the following optional suffixes for size values: KB, MB, GB, KiB, MiB, GiB (default 67108864)
-dedup.minScrapeInterval duration -dedup.minScrapeInterval duration
Leave only the first sample in every time series per each discrete interval equal to -dedup.minScrapeInterval > 0. See https://docs.victoriametrics.com/#deduplication and https://docs.victoriametrics.com/#downsampling Leave only the last sample in every time series per each discrete interval equal to -dedup.minScrapeInterval > 0. See https://docs.victoriametrics.com/#deduplication and https://docs.victoriametrics.com/#downsampling
-deleteAuthKey string -deleteAuthKey string
authKey for metrics' deletion via /api/v1/admin/tsdb/delete_series and /tags/delSeries authKey for metrics' deletion via /api/v1/admin/tsdb/delete_series and /tags/delSeries
-denyQueriesOutsideRetention -denyQueriesOutsideRetention

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@ -24,7 +24,7 @@ import (
var ( var (
httpListenAddr = flag.String("httpListenAddr", ":8428", "TCP address to listen for http connections") httpListenAddr = flag.String("httpListenAddr", ":8428", "TCP address to listen for http connections")
minScrapeInterval = flag.Duration("dedup.minScrapeInterval", 0, "Leave only the first sample in every time series per each discrete interval "+ minScrapeInterval = flag.Duration("dedup.minScrapeInterval", 0, "Leave only the last sample in every time series per each discrete interval "+
"equal to -dedup.minScrapeInterval > 0. See https://docs.victoriametrics.com/#deduplication and https://docs.victoriametrics.com/#downsampling") "equal to -dedup.minScrapeInterval > 0. See https://docs.victoriametrics.com/#deduplication and https://docs.victoriametrics.com/#downsampling")
dryRun = flag.Bool("dryRun", false, "Whether to check only -promscrape.config and then exit. "+ dryRun = flag.Bool("dryRun", false, "Whether to check only -promscrape.config and then exit. "+
"Unknown config entries aren't allowed in -promscrape.config by default. This can be changed with -promscrape.config.strictParse=false command-line flag") "Unknown config entries aren't allowed in -promscrape.config by default. This can be changed with -promscrape.config.strictParse=false command-line flag")

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@ -33,6 +33,7 @@ The following tip changes can be tested by building VictoriaMetrics components f
* FEATURE: [vmctl](https://docs.victoriametrics.com/vmctl.html): show data pocessing speed during data migration. * FEATURE: [vmctl](https://docs.victoriametrics.com/vmctl.html): show data pocessing speed during data migration.
* FEATURE: [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html): add `drop_common_labels()` function, which drops common `label="name"` pairs from the passed time series. See [these docs](https://docs.victoriametrics.com/MetricsQL.html#drop_common_labels). * FEATURE: [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html): add `drop_common_labels()` function, which drops common `label="name"` pairs from the passed time series. See [these docs](https://docs.victoriametrics.com/MetricsQL.html#drop_common_labels).
* FEATURE: [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html): add `tlast_change_over_time(m[d])` function, which returns the timestamp of the last change of `m` on the given lookbehind window `d`. See [these docs](https://docs.victoriametrics.com/MetricsQL.html#tlast_change_over_time). * FEATURE: [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html): add `tlast_change_over_time(m[d])` function, which returns the timestamp of the last change of `m` on the given lookbehind window `d`. See [these docs](https://docs.victoriametrics.com/MetricsQL.html#tlast_change_over_time).
* FEATURE: leave the last raw sample per each `-dedup.minScrapeInterval` discrete interval when the [deduplication](https://docs.victoriametrics.com/#deduplication) is enabled. This aligns better with the [staleness rules in Prometheus](https://prometheus.io/docs/prometheus/latest/querying/basics/#staleness) comparing to the previous behaviour when the first sample per each `-dedup.minScrapeInterval` was left.
* FEATURE: add a handler for `/api/v1/status/buildinfo` endpoint, which is used by Grafana starting from v8.5.0 . See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/2515). * FEATURE: add a handler for `/api/v1/status/buildinfo` endpoint, which is used by Grafana starting from v8.5.0 . See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/2515).
* BUGFIX: export staleness markers as `null` values from [JSON export API](https://docs.victoriametrics.com/#how-to-export-data-in-json-line-format). Previously they were exported as `NaN` values. This could break the exported JSON parsing, since `NaN` values aren't supported by [JSON specification](https://www.json.org/). * BUGFIX: export staleness markers as `null` values from [JSON export API](https://docs.victoriametrics.com/#how-to-export-data-in-json-line-format). Previously they were exported as `NaN` values. This could break the exported JSON parsing, since `NaN` values aren't supported by [JSON specification](https://www.json.org/).

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@ -1097,7 +1097,7 @@ with the enabled de-duplication. See [this section](#deduplication) for details.
## Deduplication ## Deduplication
VictoriaMetrics de-duplicates data points if `-dedup.minScrapeInterval` command-line flag is set to positive duration. For example, `-dedup.minScrapeInterval=60s` would de-duplicate data points on the same time series if they fall within the same discrete 60s bucket. The earliest data point will be kept. In the case of equal timestamps, an arbitrary data point will be kept. See [this comment](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2112#issuecomment-1032587618) for more details on how downsampling works. 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).
The `-dedup.minScrapeInterval=D` is equivalent to `-downsampling.period=0s:D` if [downsampling](#downsampling) is enabled. It is safe to use deduplication and downsampling simultaneously. The `-dedup.minScrapeInterval=D` is equivalent to `-downsampling.period=0s:D` if [downsampling](#downsampling) is enabled. It is safe to use deduplication and downsampling simultaneously.
@ -1622,7 +1622,7 @@ Pass `-help` to VictoriaMetrics in order to see the list of supported command-li
The maximum size in bytes of a single DataDog POST request to /api/v1/series The maximum size in bytes of a single DataDog POST request to /api/v1/series
Supports the following optional suffixes for size values: KB, MB, GB, KiB, MiB, GiB (default 67108864) Supports the following optional suffixes for size values: KB, MB, GB, KiB, MiB, GiB (default 67108864)
-dedup.minScrapeInterval duration -dedup.minScrapeInterval duration
Leave only the first sample in every time series per each discrete interval equal to -dedup.minScrapeInterval > 0. See https://docs.victoriametrics.com/#deduplication and https://docs.victoriametrics.com/#downsampling Leave only the last sample in every time series per each discrete interval equal to -dedup.minScrapeInterval > 0. See https://docs.victoriametrics.com/#deduplication and https://docs.victoriametrics.com/#downsampling
-deleteAuthKey string -deleteAuthKey string
authKey for metrics' deletion via /api/v1/admin/tsdb/delete_series and /tags/delSeries authKey for metrics' deletion via /api/v1/admin/tsdb/delete_series and /tags/delSeries
-denyQueriesOutsideRetention -denyQueriesOutsideRetention

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@ -1101,7 +1101,7 @@ with the enabled de-duplication. See [this section](#deduplication) for details.
## Deduplication ## Deduplication
VictoriaMetrics de-duplicates data points if `-dedup.minScrapeInterval` command-line flag is set to positive duration. For example, `-dedup.minScrapeInterval=60s` would de-duplicate data points on the same time series if they fall within the same discrete 60s bucket. The earliest data point will be kept. In the case of equal timestamps, an arbitrary data point will be kept. See [this comment](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2112#issuecomment-1032587618) for more details on how downsampling works. 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).
The `-dedup.minScrapeInterval=D` is equivalent to `-downsampling.period=0s:D` if [downsampling](#downsampling) is enabled. It is safe to use deduplication and downsampling simultaneously. The `-dedup.minScrapeInterval=D` is equivalent to `-downsampling.period=0s:D` if [downsampling](#downsampling) is enabled. It is safe to use deduplication and downsampling simultaneously.
@ -1626,7 +1626,7 @@ Pass `-help` to VictoriaMetrics in order to see the list of supported command-li
The maximum size in bytes of a single DataDog POST request to /api/v1/series The maximum size in bytes of a single DataDog POST request to /api/v1/series
Supports the following optional suffixes for size values: KB, MB, GB, KiB, MiB, GiB (default 67108864) Supports the following optional suffixes for size values: KB, MB, GB, KiB, MiB, GiB (default 67108864)
-dedup.minScrapeInterval duration -dedup.minScrapeInterval duration
Leave only the first sample in every time series per each discrete interval equal to -dedup.minScrapeInterval > 0. See https://docs.victoriametrics.com/#deduplication and https://docs.victoriametrics.com/#downsampling Leave only the last sample in every time series per each discrete interval equal to -dedup.minScrapeInterval > 0. See https://docs.victoriametrics.com/#deduplication and https://docs.victoriametrics.com/#downsampling
-deleteAuthKey string -deleteAuthKey string
authKey for metrics' deletion via /api/v1/admin/tsdb/delete_series and /tags/delSeries authKey for metrics' deletion via /api/v1/admin/tsdb/delete_series and /tags/delSeries
-denyQueriesOutsideRetention -denyQueriesOutsideRetention

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@ -30,28 +30,24 @@ func DeduplicateSamples(srcTimestamps []int64, srcValues []float64, dedupInterva
// Fast path - nothing to deduplicate // Fast path - nothing to deduplicate
return srcTimestamps, srcValues return srcTimestamps, srcValues
} }
return deduplicateInternal(srcTimestamps, srcValues, dedupInterval) tsNext := srcTimestamps[0] + dedupInterval - 1
} tsNext -= tsNext % dedupInterval
dstTimestamps := srcTimestamps[:0]
func deduplicateInternal(srcTimestamps []int64, srcValues []float64, dedupInterval int64) ([]int64, []float64) { dstValues := srcValues[:0]
tsNext := (srcTimestamps[0] - srcTimestamps[0]%dedupInterval) + dedupInterval for i, ts := range srcTimestamps[1:] {
dstTimestamps := srcTimestamps[:1] if ts <= tsNext {
dstValues := srcValues[:1]
for i := 1; i < len(srcTimestamps); i++ {
ts := srcTimestamps[i]
if ts < tsNext {
continue continue
} }
dstTimestamps = append(dstTimestamps, ts) dstTimestamps = append(dstTimestamps, srcTimestamps[i])
dstValues = append(dstValues, srcValues[i]) dstValues = append(dstValues, srcValues[i])
// Update tsNext
tsNext += dedupInterval tsNext += dedupInterval
if ts >= tsNext { if tsNext < ts {
// Slow path for updating ts. tsNext = ts + dedupInterval - 1
tsNext = (ts - ts%dedupInterval) + dedupInterval tsNext -= tsNext % dedupInterval
} }
} }
dstTimestamps = append(dstTimestamps, srcTimestamps[len(srcTimestamps)-1])
dstValues = append(dstValues, srcValues[len(srcValues)-1])
return dstTimestamps, dstValues return dstTimestamps, dstValues
} }
@ -60,43 +56,41 @@ func deduplicateSamplesDuringMerge(srcTimestamps, srcValues []int64, dedupInterv
// Fast path - nothing to deduplicate // Fast path - nothing to deduplicate
return srcTimestamps, srcValues return srcTimestamps, srcValues
} }
return deduplicateDuringMergeInternal(srcTimestamps, srcValues, dedupInterval) tsNext := srcTimestamps[0] + dedupInterval - 1
} tsNext -= tsNext % dedupInterval
dstTimestamps := srcTimestamps[:0]
func deduplicateDuringMergeInternal(srcTimestamps, srcValues []int64, dedupInterval int64) ([]int64, []int64) { dstValues := srcValues[:0]
tsNext := (srcTimestamps[0] - srcTimestamps[0]%dedupInterval) + dedupInterval for i, ts := range srcTimestamps[1:] {
dstTimestamps := srcTimestamps[:1] if ts <= tsNext {
dstValues := srcValues[:1]
for i := 1; i < len(srcTimestamps); i++ {
ts := srcTimestamps[i]
if ts < tsNext {
continue continue
} }
dstTimestamps = append(dstTimestamps, ts) dstTimestamps = append(dstTimestamps, srcTimestamps[i])
dstValues = append(dstValues, srcValues[i]) dstValues = append(dstValues, srcValues[i])
// Update tsNext
tsNext += dedupInterval tsNext += dedupInterval
if ts >= tsNext { if tsNext < ts {
// Slow path for updating ts. tsNext = ts + dedupInterval - 1
tsNext = (ts - ts%dedupInterval) + dedupInterval tsNext -= tsNext % dedupInterval
} }
} }
dstTimestamps = append(dstTimestamps, srcTimestamps[len(srcTimestamps)-1])
dstValues = append(dstValues, srcValues[len(srcValues)-1])
return dstTimestamps, dstValues return dstTimestamps, dstValues
} }
func needsDedup(timestamps []int64, dedupInterval int64) bool { func needsDedup(timestamps []int64, dedupInterval int64) bool {
if len(timestamps) == 0 || dedupInterval <= 0 { if len(timestamps) < 2 || dedupInterval <= 0 {
return false return false
} }
tsNext := (timestamps[0] - timestamps[0]%dedupInterval) + dedupInterval tsNext := timestamps[0] + dedupInterval - 1
tsNext -= tsNext % dedupInterval
for _, ts := range timestamps[1:] { for _, ts := range timestamps[1:] {
if ts < tsNext { if ts <= tsNext {
return true return true
} }
tsNext += dedupInterval tsNext += dedupInterval
if ts >= tsNext { if tsNext < ts {
tsNext = (ts - ts%dedupInterval) + dedupInterval tsNext = ts + dedupInterval - 1
tsNext -= tsNext % dedupInterval
} }
} }
return false return false

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@ -19,19 +19,26 @@ func TestNeedsDedup(t *testing.T) {
f(0, []int64{1, 2}, false) f(0, []int64{1, 2}, false)
f(10, []int64{1}, false) f(10, []int64{1}, false)
f(10, []int64{1, 2}, true) f(10, []int64{1, 2}, true)
f(10, []int64{9, 10}, false) f(10, []int64{9, 11}, false)
f(10, []int64{9, 10, 19}, true) f(10, []int64{10, 11}, false)
f(10, []int64{0, 10, 11}, false)
f(10, []int64{9, 10}, true)
f(10, []int64{0, 10, 19}, false)
f(10, []int64{9, 19}, false) f(10, []int64{9, 19}, false)
f(10, []int64{0, 9, 19}, true) f(10, []int64{0, 11, 19}, true)
f(10, []int64{0, 11, 20}, true)
f(10, []int64{0, 11, 21}, false)
f(10, []int64{0, 19}, false) f(10, []int64{0, 19}, false)
f(10, []int64{0, 35, 40}, false) f(10, []int64{0, 30, 40}, false)
f(10, []int64{0, 35, 40, 41}, true) f(10, []int64{0, 31, 40}, true)
f(10, []int64{0, 31, 41}, false)
f(10, []int64{0, 31, 49}, false)
} }
func TestDeduplicateSamples(t *testing.T) { func TestDeduplicateSamples(t *testing.T) {
// Disable deduplication before exit, since the rest of tests expect disabled dedup. // Disable deduplication before exit, since the rest of tests expect disabled dedup.
f := func(scrapeInterval time.Duration, timestamps, timestampsExpected []int64) { f := func(scrapeInterval time.Duration, timestamps, timestampsExpected []int64, valuesExpected []float64) {
t.Helper() t.Helper()
timestampsCopy := make([]int64, len(timestamps)) timestampsCopy := make([]int64, len(timestamps))
values := make([]float64, len(timestamps)) values := make([]float64, len(timestamps))
@ -42,30 +49,10 @@ func TestDeduplicateSamples(t *testing.T) {
dedupInterval := scrapeInterval.Milliseconds() dedupInterval := scrapeInterval.Milliseconds()
timestampsCopy, values = DeduplicateSamples(timestampsCopy, values, dedupInterval) timestampsCopy, values = DeduplicateSamples(timestampsCopy, values, dedupInterval)
if !reflect.DeepEqual(timestampsCopy, timestampsExpected) { if !reflect.DeepEqual(timestampsCopy, timestampsExpected) {
t.Fatalf("invalid DeduplicateSamples(%v) result;\ngot\n%v\nwant\n%v", timestamps, timestampsCopy, timestampsExpected) t.Fatalf("invalid DeduplicateSamples(%v) timestamps;\ngot\n%v\nwant\n%v", timestamps, timestampsCopy, timestampsExpected)
} }
// Verify values if !reflect.DeepEqual(values, valuesExpected) {
if len(timestampsCopy) == 0 { t.Fatalf("invalid DeduplicateSamples(%v) values;\ngot\n%v\nwant\n%v", timestamps, values, valuesExpected)
if len(values) != 0 {
t.Fatalf("values must be empty; got %v", values)
}
return
}
j := 0
for i, ts := range timestamps {
if ts != timestampsCopy[j] {
continue
}
if values[j] != float64(i) {
t.Fatalf("unexpected value at index %d; got %v; want %v; values: %v", j, values[j], i, values)
}
j++
if j == len(timestampsCopy) {
break
}
}
if j != len(timestampsCopy) {
t.Fatalf("superfluous timestamps found starting from index %d: %v", j, timestampsCopy[j:])
} }
// Verify that the second call to DeduplicateSamples doesn't modify samples. // Verify that the second call to DeduplicateSamples doesn't modify samples.
@ -78,19 +65,19 @@ func TestDeduplicateSamples(t *testing.T) {
t.Fatalf("invalid DeduplicateSamples(%v) values for the second call;\ngot\n%v\nwant\n%v", timestamps, values, valuesCopy) t.Fatalf("invalid DeduplicateSamples(%v) values for the second call;\ngot\n%v\nwant\n%v", timestamps, values, valuesCopy)
} }
} }
f(time.Millisecond, nil, []int64{}) f(time.Millisecond, nil, []int64{}, []float64{})
f(time.Millisecond, []int64{123}, []int64{123}) f(time.Millisecond, []int64{123}, []int64{123}, []float64{0})
f(time.Millisecond, []int64{123, 456}, []int64{123, 456}) 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}) 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}) 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, 205, 300, 1000}) 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, 21e3, 30e3, 45e3}) 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) { func TestDeduplicateSamplesDuringMerge(t *testing.T) {
// Disable deduplication before exit, since the rest of tests expect disabled dedup. // Disable deduplication before exit, since the rest of tests expect disabled dedup.
f := func(scrapeInterval time.Duration, timestamps, timestampsExpected []int64) { f := func(scrapeInterval time.Duration, timestamps, timestampsExpected, valuesExpected []int64) {
t.Helper() t.Helper()
timestampsCopy := make([]int64, len(timestamps)) timestampsCopy := make([]int64, len(timestamps))
values := make([]int64, len(timestamps)) values := make([]int64, len(timestamps))
@ -101,30 +88,10 @@ func TestDeduplicateSamplesDuringMerge(t *testing.T) {
dedupInterval := scrapeInterval.Milliseconds() dedupInterval := scrapeInterval.Milliseconds()
timestampsCopy, values = deduplicateSamplesDuringMerge(timestampsCopy, values, dedupInterval) timestampsCopy, values = deduplicateSamplesDuringMerge(timestampsCopy, values, dedupInterval)
if !reflect.DeepEqual(timestampsCopy, timestampsExpected) { if !reflect.DeepEqual(timestampsCopy, timestampsExpected) {
t.Fatalf("invalid deduplicateSamplesDuringMerge(%v) result;\ngot\n%v\nwant\n%v", timestamps, timestampsCopy, timestampsExpected) t.Fatalf("invalid deduplicateSamplesDuringMerge(%v) timestamps;\ngot\n%v\nwant\n%v", timestamps, timestampsCopy, timestampsExpected)
} }
// Verify values if !reflect.DeepEqual(values, valuesExpected) {
if len(timestampsCopy) == 0 { t.Fatalf("invalid DeduplicateSamples(%v) values;\ngot\n%v\nwant\n%v", timestamps, values, valuesExpected)
if len(values) != 0 {
t.Fatalf("values must be empty; got %v", values)
}
return
}
j := 0
for i, ts := range timestamps {
if ts != timestampsCopy[j] {
continue
}
if values[j] != int64(i) {
t.Fatalf("unexpected value at index %d; got %v; want %v; values: %v", j, values[j], i, values)
}
j++
if j == len(timestampsCopy) {
break
}
}
if j != len(timestampsCopy) {
t.Fatalf("superfluous timestamps found starting from index %d: %v", j, timestampsCopy[j:])
} }
// Verify that the second call to DeduplicateSamples doesn't modify samples. // Verify that the second call to DeduplicateSamples doesn't modify samples.
@ -137,21 +104,10 @@ func TestDeduplicateSamplesDuringMerge(t *testing.T) {
t.Fatalf("invalid deduplicateSamplesDuringMerge(%v) values for the second call;\ngot\n%v\nwant\n%v", timestamps, values, valuesCopy) t.Fatalf("invalid deduplicateSamplesDuringMerge(%v) values for the second call;\ngot\n%v\nwant\n%v", timestamps, values, valuesCopy)
} }
} }
f(time.Millisecond, nil, []int64{}) f(time.Millisecond, nil, []int64{}, []int64{})
f(time.Millisecond, []int64{123}, []int64{123}) f(time.Millisecond, []int64{123}, []int64{123}, []int64{0})
f(time.Millisecond, []int64{123, 456}, []int64{123, 456}) f(time.Millisecond, []int64{123, 456}, []int64{123, 456}, []int64{0, 1})
f(time.Millisecond, []int64{0, 0, 0, 1, 1, 2, 3, 3, 3, 4}, []int64{0, 1, 2, 3, 4}) f(time.Millisecond, []int64{0, 0, 0, 1, 1, 2, 3, 3, 3, 4}, []int64{0, 1, 2, 3, 4}, []int64{2, 4, 5, 8, 9})
f(100*time.Millisecond, []int64{0, 100, 100, 101, 150, 180, 200, 300, 1000}, []int64{0, 100, 200, 300, 1000}) f(100*time.Millisecond, []int64{0, 100, 100, 101, 150, 180, 200, 300, 1000}, []int64{0, 100, 200, 300, 1000}, []int64{0, 2, 6, 7, 8})
f(10*time.Second, []int64{10e3, 13e3, 21e3, 22e3, 30e3, 33e3, 39e3, 45e3}, []int64{10e3, 21e3, 30e3, 45e3}) f(10*time.Second, []int64{10e3, 13e3, 21e3, 22e3, 30e3, 33e3, 39e3, 45e3}, []int64{10e3, 13e3, 30e3, 39e3, 45e3}, []int64{0, 1, 4, 6, 7})
var timestamps, timestampsExpected []int64
for i := 0; i < 40; i++ {
timestamps = append(timestamps, int64(i*1000))
if i%2 == 0 {
timestampsExpected = append(timestampsExpected, int64(i*1000))
}
}
f(0, timestamps, timestamps)
f(time.Second, timestamps, timestamps)
f(2*time.Second, timestamps, timestampsExpected)
} }