package storage import ( "sort" "sync" "github.com/VictoriaMetrics/VictoriaMetrics/lib/decimal" "github.com/VictoriaMetrics/VictoriaMetrics/lib/logger" ) // rawRow reperesents raw timeseries row. type rawRow struct { // TSID is time series id. TSID TSID // Timestamp is unix timestamp in milliseconds. Timestamp int64 // Value is time series value for the given timestamp. Value float64 // PrecisionBits is the number of the significant bits in the Value // to store. Possible values are [1..64]. // 1 means max. 50% error, 2 - 25%, 3 - 12.5%, 64 means no error, i.e. // Value stored without information loss. PrecisionBits uint8 } type rawRowsMarshaler struct { bsw blockStreamWriter auxTimestamps []int64 auxValues []int64 auxFloatValues []float64 } func (rrm *rawRowsMarshaler) reset() { rrm.bsw.reset() rrm.auxTimestamps = rrm.auxTimestamps[:0] rrm.auxValues = rrm.auxValues[:0] rrm.auxFloatValues = rrm.auxFloatValues[:0] } // Use sort.Interface instead of sort.Slice in order to optimize rows swap. type rawRowsSort []rawRow func (rrs *rawRowsSort) Len() int { return len(*rrs) } func (rrs *rawRowsSort) Less(i, j int) bool { x := *rrs if i < 0 || j < 0 || i >= len(x) || j >= len(x) { // This is no-op for compiler, so it doesn't generate panic code // for out of range access on x[i], x[j] below return false } a := &x[i] b := &x[j] ta := &a.TSID tb := &b.TSID // Manually inline TSID.Less here, since the compiler doesn't inline it yet :( if ta.MetricGroupID != tb.MetricGroupID { return ta.MetricGroupID < tb.MetricGroupID } if ta.JobID != tb.JobID { return ta.JobID < tb.JobID } if ta.InstanceID != tb.InstanceID { return ta.InstanceID < tb.InstanceID } if ta.MetricID != tb.MetricID { return ta.MetricID < tb.MetricID } return a.Timestamp < b.Timestamp } func (rrs *rawRowsSort) Swap(i, j int) { x := *rrs x[i], x[j] = x[j], x[i] } func (rrm *rawRowsMarshaler) marshalToInmemoryPart(mp *inmemoryPart, rows []rawRow) { if len(rows) == 0 { return } if uint64(len(rows)) >= 1<<32 { logger.Panicf("BUG: rows count must be smaller than 2^32; got %d", len(rows)) } // Use the minimum compression level for first-level in-memory blocks, // since they are going to be re-compressed during subsequent merges. const compressLevel = -5 // See https://github.com/facebook/zstd/releases/tag/v1.3.4 rrm.bsw.InitFromInmemoryPart(mp, compressLevel) ph := &mp.ph ph.Reset() // Sort rows by (TSID, Timestamp) if they aren't sorted yet. rrs := rawRowsSort(rows) if !sort.IsSorted(&rrs) { sort.Sort(&rrs) } // Group rows into blocks. var scale int16 var rowsMerged uint64 r := &rows[0] tsid := &r.TSID precisionBits := r.PrecisionBits tmpBlock := getBlock() defer putBlock(tmpBlock) for i := range rows { r = &rows[i] if r.TSID.MetricID == tsid.MetricID && len(rrm.auxTimestamps) < maxRowsPerBlock { rrm.auxTimestamps = append(rrm.auxTimestamps, r.Timestamp) rrm.auxFloatValues = append(rrm.auxFloatValues, r.Value) continue } rrm.auxValues, scale = decimal.AppendFloatToDecimal(rrm.auxValues[:0], rrm.auxFloatValues) tmpBlock.Init(tsid, rrm.auxTimestamps, rrm.auxValues, scale, precisionBits) rrm.bsw.WriteExternalBlock(tmpBlock, ph, &rowsMerged) tsid = &r.TSID precisionBits = r.PrecisionBits rrm.auxTimestamps = append(rrm.auxTimestamps[:0], r.Timestamp) rrm.auxFloatValues = append(rrm.auxFloatValues[:0], r.Value) } rrm.auxValues, scale = decimal.AppendFloatToDecimal(rrm.auxValues[:0], rrm.auxFloatValues) tmpBlock.Init(tsid, rrm.auxTimestamps, rrm.auxValues, scale, precisionBits) rrm.bsw.WriteExternalBlock(tmpBlock, ph, &rowsMerged) if rowsMerged != uint64(len(rows)) { logger.Panicf("BUG: unexpected rowsMerged; got %d; want %d", rowsMerged, len(rows)) } rrm.bsw.MustClose() } func getRawRowsMarshaler() *rawRowsMarshaler { v := rrmPool.Get() if v == nil { return &rawRowsMarshaler{} } return v.(*rawRowsMarshaler) } func putRawRowsMarshaler(rrm *rawRowsMarshaler) { rrm.reset() rrmPool.Put(rrm) } var rrmPool sync.Pool