in tsdb/chunkenc/histogram.go [749:935]
func (it *histogramIterator) Next() ValueType {
if it.err != nil || it.numRead == it.numTotal {
return ValNone
}
if it.numRead == 0 {
// The first read is responsible for reading the chunk layout
// and for initializing fields that depend on it. We give
// counter reset info at chunk level, hence we discard it here.
schema, zeroThreshold, posSpans, negSpans, err := readHistogramChunkLayout(&it.br)
if err != nil {
it.err = err
return ValNone
}
it.schema = schema
it.zThreshold = zeroThreshold
it.pSpans, it.nSpans = posSpans, negSpans
numPBuckets, numNBuckets := countSpans(posSpans), countSpans(negSpans)
// The code below recycles existing slices in case this iterator
// was reset and already has slices of a sufficient capacity.
if numPBuckets > 0 {
it.pBuckets = append(it.pBuckets, make([]int64, numPBuckets)...)
it.pBucketsDelta = append(it.pBucketsDelta, make([]int64, numPBuckets)...)
it.pFloatBuckets = append(it.pFloatBuckets, make([]float64, numPBuckets)...)
}
if numNBuckets > 0 {
it.nBuckets = append(it.nBuckets, make([]int64, numNBuckets)...)
it.nBucketsDelta = append(it.nBucketsDelta, make([]int64, numNBuckets)...)
it.nFloatBuckets = append(it.nFloatBuckets, make([]float64, numNBuckets)...)
}
// Now read the actual data.
t, err := readVarbitInt(&it.br)
if err != nil {
it.err = err
return ValNone
}
it.t = t
cnt, err := readVarbitUint(&it.br)
if err != nil {
it.err = err
return ValNone
}
it.cnt = cnt
zcnt, err := readVarbitUint(&it.br)
if err != nil {
it.err = err
return ValNone
}
it.zCnt = zcnt
sum, err := it.br.readBits(64)
if err != nil {
it.err = err
return ValNone
}
it.sum = math.Float64frombits(sum)
var current int64
for i := range it.pBuckets {
v, err := readVarbitInt(&it.br)
if err != nil {
it.err = err
return ValNone
}
it.pBuckets[i] = v
current += it.pBuckets[i]
it.pFloatBuckets[i] = float64(current)
}
current = 0
for i := range it.nBuckets {
v, err := readVarbitInt(&it.br)
if err != nil {
it.err = err
return ValNone
}
it.nBuckets[i] = v
current += it.nBuckets[i]
it.nFloatBuckets[i] = float64(current)
}
it.numRead++
return ValHistogram
}
// The case for the 2nd sample with single deltas is implicitly handled correctly with the double delta code,
// so we don't need a separate single delta logic for the 2nd sample.
// Recycle bucket slices that have not been returned yet. Otherwise,
// copy them.
if it.atHistogramCalled {
it.atHistogramCalled = false
if len(it.pBuckets) > 0 {
newBuckets := make([]int64, len(it.pBuckets))
copy(newBuckets, it.pBuckets)
it.pBuckets = newBuckets
} else {
it.pBuckets = nil
}
if len(it.nBuckets) > 0 {
newBuckets := make([]int64, len(it.nBuckets))
copy(newBuckets, it.nBuckets)
it.nBuckets = newBuckets
} else {
it.nBuckets = nil
}
}
// FloatBuckets are set from scratch, so simply create empty ones.
if it.atFloatHistogramCalled {
it.atFloatHistogramCalled = false
if len(it.pFloatBuckets) > 0 {
it.pFloatBuckets = make([]float64, len(it.pFloatBuckets))
} else {
it.pFloatBuckets = nil
}
if len(it.nFloatBuckets) > 0 {
it.nFloatBuckets = make([]float64, len(it.nFloatBuckets))
} else {
it.nFloatBuckets = nil
}
}
tDod, err := readVarbitInt(&it.br)
if err != nil {
it.err = err
return ValNone
}
it.tDelta += tDod
it.t += it.tDelta
cntDod, err := readVarbitInt(&it.br)
if err != nil {
it.err = err
return ValNone
}
it.cntDelta += cntDod
it.cnt = uint64(int64(it.cnt) + it.cntDelta)
zcntDod, err := readVarbitInt(&it.br)
if err != nil {
it.err = err
return ValNone
}
it.zCntDelta += zcntDod
it.zCnt = uint64(int64(it.zCnt) + it.zCntDelta)
ok := it.readSum()
if !ok {
return ValNone
}
if value.IsStaleNaN(it.sum) {
it.numRead++
return ValHistogram
}
var current int64
for i := range it.pBuckets {
dod, err := readVarbitInt(&it.br)
if err != nil {
it.err = err
return ValNone
}
it.pBucketsDelta[i] += dod
it.pBuckets[i] += it.pBucketsDelta[i]
current += it.pBuckets[i]
it.pFloatBuckets[i] = float64(current)
}
current = 0
for i := range it.nBuckets {
dod, err := readVarbitInt(&it.br)
if err != nil {
it.err = err
return ValNone
}
it.nBucketsDelta[i] += dod
it.nBuckets[i] += it.nBucketsDelta[i]
current += it.nBuckets[i]
it.nFloatBuckets[i] = float64(current)
}
it.numRead++
return ValHistogram
}