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lib/streamaggr: pick sample with bigger timestamp or value on deduplicator (#5939)
Apply the same deduplication logic as in https://docs.victoriametrics.com/#deduplication This would require more memory for deduplication, since we need to track timestamp for each record. However, deduplication should become more consistent. https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5643 --------- Co-authored-by: Roman Khavronenko <roman@victoriametrics.com>
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@ -53,6 +53,7 @@ See also [LTS releases](https://docs.victoriametrics.com/lts-releases/).
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* FEATURE: [vmctl](https://docs.victoriametrics.com/vmctl.html): support client-side TLS configuration for VictoriaMetrics destination specified via `--vm-*` cmd-line flags used in [InfluxDB](https://docs.victoriametrics.com/vmctl/#migrating-data-from-influxdb-1x), [Remote Read protocol](https://docs.victoriametrics.com/vmctl/#migrating-data-by-remote-read-protocol), [OpenTSDB](https://docs.victoriametrics.com/vmctl/#migrating-data-from-opentsdb), [Prometheus](https://docs.victoriametrics.com/vmctl/#migrating-data-from-prometheus) and [Promscale](https://docs.victoriametrics.com/vmctl/#migrating-data-from-promscale) migration modes.
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* BUGFIX: do not drop `match[]` filter at [`/api/v1/series`](https://docs.victoriametrics.com/url-examples/#apiv1series) if `-search.ignoreExtraFiltersAtLabelsAPI` command-line flag is set, since missing `match[]` filter breaks `/api/v1/series` requests.
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* BUGFIX: [stream aggregation](https://docs.victoriametrics.com/stream-aggregation/): pick samples with bigger values and timestamps on deduplication interval
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## [v1.99.0](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/tag/v1.99.0)
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@ -28,7 +28,8 @@ type dedupAggrShardNopad struct {
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}
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type dedupAggrSample struct {
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value float64
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value float64
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timestamp int64
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}
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func newDedupAggr() *dedupAggr {
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@ -172,8 +173,21 @@ func (das *dedupAggrShard) pushSamples(samples []pushSample) {
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das.m = m
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}
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for _, sample := range samples {
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m[sample.key] = dedupAggrSample{
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value: sample.value,
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s, ok := m[sample.key]
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if !ok {
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m[sample.key] = dedupAggrSample{
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value: sample.value,
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timestamp: sample.timestamp,
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}
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continue
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}
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// update the existing value according to logic described in
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// https://docs.victoriametrics.com/#deduplication
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if sample.timestamp > s.timestamp || (sample.timestamp == s.timestamp && sample.value > s.value) {
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m[sample.key] = dedupAggrSample{
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value: sample.value,
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timestamp: sample.timestamp,
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}
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}
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}
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}
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@ -23,8 +23,8 @@ func TestDedupAggrSerial(t *testing.T) {
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da.pushSamples(samples)
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}
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if n := da.sizeBytes(); n > 3_400_000 {
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t.Fatalf("too big dedupAggr state before flush: %d bytes; it shouldn't exceed 3_400_000 bytes", n)
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if n := da.sizeBytes(); n > 4_200_000 {
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t.Fatalf("too big dedupAggr state before flush: %d bytes; it shouldn't exceed 4_200_000 bytes", n)
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}
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if n := da.itemsCount(); n != seriesCount {
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t.Fatalf("unexpected itemsCount; got %d; want %d", n, seriesCount)
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@ -107,8 +107,9 @@ func (d *Deduplicator) Push(tss []prompbmarshal.TimeSeries) {
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key := bytesutil.InternBytes(buf)
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for _, s := range ts.Samples {
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pss = append(pss, pushSample{
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key: key,
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value: s.Value,
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key: key,
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value: s.Value,
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timestamp: s.Timestamp,
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})
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}
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}
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@ -41,7 +41,7 @@ baz_aaa_aaa_fdd{instance="x",job="aaa",pod="sdfd-dfdfdfs",node="aosijjewrerfd",n
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bar{container="ohohffd",job="aaa",namespace="asdff",pod="sdfd-dfdfdfs"} 34.54
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baz_aaa_aaa_fdd{container="ohohffd",job="aaa",namespace="asdff",pod="sdfd-dfdfdfs"} -2.3
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foo{container="ohohffd",job="aaa",namespace="asdff",pod="sdfd-dfdfdfs"} 894
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x 433
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x 90984
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`
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if result != resultExpected {
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t.Fatalf("unexpected result; got\n%s\nwant\n%s", result, resultExpected)
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@ -776,8 +776,9 @@ func (a *aggregator) Push(tss []prompbmarshal.TimeSeries, matchIdxs []byte) {
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continue
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}
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samples = append(samples, pushSample{
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key: key,
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value: sample.Value,
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key: key,
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value: sample.Value,
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timestamp: sample.Timestamp,
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})
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}
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}
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@ -851,8 +852,9 @@ func (ctx *pushCtx) reset() {
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}
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type pushSample struct {
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key string
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value float64
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key string
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value float64
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timestamp int64
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}
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func getPushCtx() *pushCtx {
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@ -939,7 +939,7 @@ foo{baz="qwe"} -5
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bar{baz="qwer"} 343
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bar{baz="qwer"} 344
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foo{baz="qwe"} 10
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`, `bar:1m_sum_samples{baz="qwe"} 2
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`, `bar:1m_sum_samples{baz="qwe"} 4.34
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bar:1m_sum_samples{baz="qwer"} 344
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foo:1m_sum_samples 123
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foo:1m_sum_samples{baz="qwe"} 10
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