mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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4ff647137a
Previously some duplicate samples may be left on disk for time series with high churn rate. This may result in higher disk space usage.
149 lines
3.7 KiB
Go
149 lines
3.7 KiB
Go
package storage
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import (
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"sort"
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"sync"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/decimal"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
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)
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// rawRow reperesents raw timeseries row.
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type rawRow struct {
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// TSID is time series id.
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TSID TSID
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// Timestamp is unix timestamp in milliseconds.
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Timestamp int64
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// Value is time series value for the given timestamp.
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Value float64
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// PrecisionBits is the number of the significant bits in the Value
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// to store. Possible values are [1..64].
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// 1 means max. 50% error, 2 - 25%, 3 - 12.5%, 64 means no error, i.e.
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// Value stored without information loss.
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PrecisionBits uint8
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}
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type rawRowsMarshaler struct {
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bsw blockStreamWriter
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auxTimestamps []int64
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auxValues []int64
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auxFloatValues []float64
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}
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func (rrm *rawRowsMarshaler) reset() {
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rrm.bsw.reset()
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rrm.auxTimestamps = rrm.auxTimestamps[:0]
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rrm.auxValues = rrm.auxValues[:0]
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rrm.auxFloatValues = rrm.auxFloatValues[:0]
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}
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// Use sort.Interface instead of sort.Slice in order to optimize rows swap.
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type rawRowsSort []rawRow
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func (rrs *rawRowsSort) Len() int { return len(*rrs) }
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func (rrs *rawRowsSort) Less(i, j int) bool {
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x := *rrs
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if i < 0 || j < 0 || i >= len(x) || j >= len(x) {
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// This is no-op for compiler, so it doesn't generate panic code
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// for out of range access on x[i], x[j] below
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return false
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}
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a := &x[i]
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b := &x[j]
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ta := &a.TSID
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tb := &b.TSID
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// Manually inline TSID.Less here, since the compiler doesn't inline it yet :(
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if ta.MetricGroupID != tb.MetricGroupID {
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return ta.MetricGroupID < tb.MetricGroupID
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}
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if ta.JobID != tb.JobID {
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return ta.JobID < tb.JobID
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}
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if ta.InstanceID != tb.InstanceID {
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return ta.InstanceID < tb.InstanceID
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}
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if ta.MetricID != tb.MetricID {
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return ta.MetricID < tb.MetricID
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}
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return a.Timestamp < b.Timestamp
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}
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func (rrs *rawRowsSort) Swap(i, j int) {
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x := *rrs
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x[i], x[j] = x[j], x[i]
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}
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func (rrm *rawRowsMarshaler) marshalToInmemoryPart(mp *inmemoryPart, rows []rawRow) {
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if len(rows) == 0 {
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return
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}
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if uint64(len(rows)) >= 1<<32 {
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logger.Panicf("BUG: rows count must be smaller than 2^32; got %d", len(rows))
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}
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rrm.bsw.InitFromInmemoryPart(mp)
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ph := &mp.ph
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ph.Reset()
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// Sort rows by (TSID, Timestamp) if they aren't sorted yet.
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rrs := rawRowsSort(rows)
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if !sort.IsSorted(&rrs) {
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sort.Sort(&rrs)
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}
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// Group rows into blocks.
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var scale int16
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var rowsMerged uint64
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r := &rows[0]
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tsid := &r.TSID
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precisionBits := r.PrecisionBits
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tmpBlock := getBlock()
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defer putBlock(tmpBlock)
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for i := range rows {
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r = &rows[i]
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if r.TSID.MetricID == tsid.MetricID && len(rrm.auxTimestamps) < maxRowsPerBlock {
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rrm.auxTimestamps = append(rrm.auxTimestamps, r.Timestamp)
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rrm.auxFloatValues = append(rrm.auxFloatValues, r.Value)
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continue
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}
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rrm.auxValues, scale = decimal.AppendFloatToDecimal(rrm.auxValues[:0], rrm.auxFloatValues)
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tmpBlock.Init(tsid, rrm.auxTimestamps, rrm.auxValues, scale, precisionBits)
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rrm.bsw.WriteExternalBlock(tmpBlock, ph, &rowsMerged)
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tsid = &r.TSID
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precisionBits = r.PrecisionBits
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rrm.auxTimestamps = append(rrm.auxTimestamps[:0], r.Timestamp)
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rrm.auxFloatValues = append(rrm.auxFloatValues[:0], r.Value)
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}
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rrm.auxValues, scale = decimal.AppendFloatToDecimal(rrm.auxValues[:0], rrm.auxFloatValues)
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tmpBlock.Init(tsid, rrm.auxTimestamps, rrm.auxValues, scale, precisionBits)
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rrm.bsw.WriteExternalBlock(tmpBlock, ph, &rowsMerged)
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if rowsMerged != uint64(len(rows)) {
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logger.Panicf("BUG: unexpected rowsMerged; got %d; want %d", rowsMerged, len(rows))
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}
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rrm.bsw.MustClose()
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}
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func getRawRowsMarshaler() *rawRowsMarshaler {
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v := rrmPool.Get()
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if v == nil {
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return &rawRowsMarshaler{}
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}
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return v.(*rawRowsMarshaler)
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}
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func putRawRowsMarshaler(rrm *rawRowsMarshaler) {
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rrm.reset()
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rrmPool.Put(rrm)
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}
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var rrmPool sync.Pool
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