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Merge pull request #426 from grafana/krajo/merge-upstream-main
merge upstream main
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commit
47a690022c
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@ -449,9 +449,7 @@ raw numbers.
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The keys `"histogram"` and `"histograms"` only show up if the experimental
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native histograms are present in the response. Their placeholder `<histogram>`
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is explained in detail in its own section below. Any one object will only have
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the `"value"`/`"values"` key or the `"histogram"`/`"histograms"` key, but not
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both.
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is explained in detail in its own section below.
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### Range vectors
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@ -469,6 +467,9 @@ Range vectors are returned as result type `matrix`. The corresponding
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]
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```
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Each series could have the `"values"` key, or the `"histograms"` key, or both.
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For a given timestamp, there will only be one sample of either float or histogram type.
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### Instant vectors
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Instant vectors are returned as result type `vector`. The corresponding
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@ -485,6 +486,8 @@ Instant vectors are returned as result type `vector`. The corresponding
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]
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```
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Each series could have the `"value"` key, or the `"histogram"` key, but not both.
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### Scalars
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Scalar results are returned as result type `scalar`. The corresponding
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136
tsdb/head.go
136
tsdb/head.go
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@ -2076,106 +2076,90 @@ func (h *Head) updateWALReplayStatusRead(current int) {
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func GenerateTestHistograms(n int) (r []*histogram.Histogram) {
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for i := 0; i < n; i++ {
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h := histogram.Histogram{
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Count: 10 + uint64(i*8),
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ZeroCount: 2 + uint64(i),
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ZeroThreshold: 0.001,
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Sum: 18.4 * float64(i+1),
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Schema: 1,
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PositiveSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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PositiveBuckets: []int64{int64(i + 1), 1, -1, 0},
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NegativeSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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NegativeBuckets: []int64{int64(i + 1), 1, -1, 0},
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}
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h := GenerateTestHistogram(i)
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if i > 0 {
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h.CounterResetHint = histogram.NotCounterReset
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}
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r = append(r, &h)
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r = append(r, h)
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}
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return r
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}
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// Generates a test histogram, it is up to the user to set any known counter reset hint.
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func GenerateTestHistogram(i int) *histogram.Histogram {
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return &histogram.Histogram{
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Count: 10 + uint64(i*8),
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ZeroCount: 2 + uint64(i),
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ZeroThreshold: 0.001,
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Sum: 18.4 * float64(i+1),
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Schema: 1,
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PositiveSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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PositiveBuckets: []int64{int64(i + 1), 1, -1, 0},
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NegativeSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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NegativeBuckets: []int64{int64(i + 1), 1, -1, 0},
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}
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}
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func GenerateTestGaugeHistograms(n int) (r []*histogram.Histogram) {
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for x := 0; x < n; x++ {
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i := rand.Intn(n)
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r = append(r, &histogram.Histogram{
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CounterResetHint: histogram.GaugeType,
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Count: 10 + uint64(i*8),
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ZeroCount: 2 + uint64(i),
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ZeroThreshold: 0.001,
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Sum: 18.4 * float64(i+1),
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Schema: 1,
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PositiveSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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PositiveBuckets: []int64{int64(i + 1), 1, -1, 0},
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NegativeSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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NegativeBuckets: []int64{int64(i + 1), 1, -1, 0},
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})
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r = append(r, GenerateTestGaugeHistogram(rand.Intn(n)))
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}
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return r
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}
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func GenerateTestGaugeHistogram(i int) *histogram.Histogram {
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h := GenerateTestHistogram(i)
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h.CounterResetHint = histogram.GaugeType
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return h
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}
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func GenerateTestFloatHistograms(n int) (r []*histogram.FloatHistogram) {
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for i := 0; i < n; i++ {
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h := histogram.FloatHistogram{
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Count: 10 + float64(i*8),
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ZeroCount: 2 + float64(i),
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ZeroThreshold: 0.001,
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Sum: 18.4 * float64(i+1),
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Schema: 1,
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PositiveSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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PositiveBuckets: []float64{float64(i + 1), float64(i + 2), float64(i + 1), float64(i + 1)},
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NegativeSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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NegativeBuckets: []float64{float64(i + 1), float64(i + 2), float64(i + 1), float64(i + 1)},
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}
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h := GenerateTestFloatHistogram(i)
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if i > 0 {
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h.CounterResetHint = histogram.NotCounterReset
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}
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r = append(r, &h)
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r = append(r, h)
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}
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return r
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}
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// Generates a test float histogram, it is up to the user to set any known counter reset hint.
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func GenerateTestFloatHistogram(i int) *histogram.FloatHistogram {
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return &histogram.FloatHistogram{
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Count: 10 + float64(i*8),
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ZeroCount: 2 + float64(i),
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ZeroThreshold: 0.001,
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Sum: 18.4 * float64(i+1),
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Schema: 1,
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PositiveSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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PositiveBuckets: []float64{float64(i + 1), float64(i + 2), float64(i + 1), float64(i + 1)},
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NegativeSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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NegativeBuckets: []float64{float64(i + 1), float64(i + 2), float64(i + 1), float64(i + 1)},
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}
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}
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func GenerateTestGaugeFloatHistograms(n int) (r []*histogram.FloatHistogram) {
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for x := 0; x < n; x++ {
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i := rand.Intn(n)
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r = append(r, &histogram.FloatHistogram{
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CounterResetHint: histogram.GaugeType,
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Count: 10 + float64(i*8),
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ZeroCount: 2 + float64(i),
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ZeroThreshold: 0.001,
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Sum: 18.4 * float64(i+1),
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Schema: 1,
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PositiveSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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PositiveBuckets: []float64{float64(i + 1), float64(i + 2), float64(i + 1), float64(i + 1)},
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NegativeSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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NegativeBuckets: []float64{float64(i + 1), float64(i + 2), float64(i + 1), float64(i + 1)},
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})
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r = append(r, GenerateTestGaugeFloatHistogram(rand.Intn(n)))
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}
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return r
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}
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func GenerateTestGaugeFloatHistogram(i int) *histogram.FloatHistogram {
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h := GenerateTestFloatHistogram(i)
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h.CounterResetHint = histogram.GaugeType
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return h
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}
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@ -498,6 +498,12 @@ func (h *Head) resetSeriesWithMMappedChunks(mSeries *memSeries, mmc, oooMmc []*m
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h.metrics.chunksCreated.Add(float64(len(mmc) + len(oooMmc)))
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h.metrics.chunksRemoved.Add(float64(len(mSeries.mmappedChunks)))
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h.metrics.chunks.Add(float64(len(mmc) + len(oooMmc) - len(mSeries.mmappedChunks)))
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if mSeries.ooo != nil {
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h.metrics.chunksRemoved.Add(float64(len(mSeries.ooo.oooMmappedChunks)))
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h.metrics.chunks.Sub(float64(len(mSeries.ooo.oooMmappedChunks)))
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}
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mSeries.mmappedChunks = mmc
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if len(oooMmc) == 0 {
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mSeries.ooo = nil
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