prometheus/tsdb/tsdbutil/buffer.go
Björn Rabenstein 7e42acd3b1
tsdb: Rework iterators (#9877)
- Pick At... method via return value of Next/Seek.
- Do not clobber returned buckets.
- Add partial FloatHistogram suppert.

Note that the promql package is now _only_ dealing with
FloatHistograms, following the idea that PromQL only knows float
values.

As a byproduct, I have removed the histogramSeries metric. In my
understanding, series can have both float and histogram samples, so
that metric doesn't make sense anymore.

As another byproduct, I have converged the sampleBuf and the
histogramSampleBuf in memSeries into one. The sample type stored in
the sampleBuf has been extended to also contain histograms even before
this commit.

Signed-off-by: beorn7 <beorn@grafana.com>
2021-11-29 13:24:23 +05:30

293 lines
6.6 KiB
Go

// Copyright 2018 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package tsdbutil
import (
"fmt"
"math"
"github.com/pkg/errors"
"github.com/prometheus/prometheus/model/histogram"
"github.com/prometheus/prometheus/tsdb/chunkenc"
)
// BufferedSeriesIterator wraps an iterator with a look-back buffer.
//
// TODO(beorn7): BufferedSeriesIterator does not support Histograms or
// FloatHistograms. Either add support or remove BufferedSeriesIterator
// altogether (it seems unused).
type BufferedSeriesIterator struct {
it chunkenc.Iterator
buf *sampleRing
lastTime int64
}
// NewBuffer returns a new iterator that buffers the values within the time range
// of the current element and the duration of delta before.
func NewBuffer(it chunkenc.Iterator, delta int64) *BufferedSeriesIterator {
return &BufferedSeriesIterator{
it: it,
buf: newSampleRing(delta, 16),
lastTime: math.MinInt64,
}
}
// PeekBack returns the previous element of the iterator. If there is none buffered,
// ok is false.
func (b *BufferedSeriesIterator) PeekBack() (t int64, v float64, ok bool) {
return b.buf.last()
}
// Buffer returns an iterator over the buffered data.
func (b *BufferedSeriesIterator) Buffer() chunkenc.Iterator {
return b.buf.iterator()
}
// Seek advances the iterator to the element at time t or greater.
func (b *BufferedSeriesIterator) Seek(t int64) chunkenc.ValueType {
t0 := t - b.buf.delta
// If the delta would cause us to seek backwards, preserve the buffer
// and just continue regular advancement while filling the buffer on the way.
if t0 > b.lastTime {
b.buf.reset()
if b.it.Seek(t0) == chunkenc.ValNone {
return chunkenc.ValNone
}
b.lastTime = b.AtT()
}
if b.lastTime >= t {
return chunkenc.ValFloat
}
for {
valueType := b.Next()
switch valueType {
case chunkenc.ValNone:
return chunkenc.ValNone
case chunkenc.ValFloat:
if b.lastTime >= t {
return valueType
}
default:
panic(fmt.Errorf("BufferedSeriesIterator: unsupported value type %v", valueType))
}
if b.lastTime >= t {
return valueType
}
}
}
// Next advances the iterator to the next element.
func (b *BufferedSeriesIterator) Next() chunkenc.ValueType {
// Add current element to buffer before advancing.
b.buf.add(b.it.At())
valueType := b.it.Next()
if valueType != chunkenc.ValNone {
b.lastTime = b.AtT()
}
return valueType
}
// At returns the current element of the iterator.
func (b *BufferedSeriesIterator) At() (int64, float64) {
return b.it.At()
}
// AtHistogram is unsupported.
func (b *BufferedSeriesIterator) AtHistogram() (int64, *histogram.Histogram) {
panic(errors.New("BufferedSeriesIterator: AtHistogram not implemented"))
}
// AtFloatHistogram is unsupported.
func (b *BufferedSeriesIterator) AtFloatHistogram() (int64, *histogram.FloatHistogram) {
panic(errors.New("BufferedSeriesIterator: AtFloatHistogram not implemented"))
}
// At returns the timestamp of the current element of the iterator.
func (b *BufferedSeriesIterator) AtT() int64 {
return b.it.AtT()
}
// Err returns the last encountered error.
func (b *BufferedSeriesIterator) Err() error {
return b.it.Err()
}
type sample struct {
t int64
v float64
h *histogram.Histogram
fh *histogram.FloatHistogram
}
func (s sample) T() int64 {
return s.t
}
func (s sample) V() float64 {
return s.v
}
func (s sample) H() *histogram.Histogram {
return s.h
}
func (s sample) FH() *histogram.FloatHistogram {
return s.fh
}
func (s sample) Type() chunkenc.ValueType {
switch {
case s.h != nil:
return chunkenc.ValHistogram
case s.fh != nil:
return chunkenc.ValFloatHistogram
default:
return chunkenc.ValFloat
}
}
type sampleRing struct {
delta int64
buf []sample // lookback buffer
i int // position of most recent element in ring buffer
f int // position of first element in ring buffer
l int // number of elements in buffer
}
func newSampleRing(delta int64, sz int) *sampleRing {
r := &sampleRing{delta: delta, buf: make([]sample, sz)}
r.reset()
return r
}
func (r *sampleRing) reset() {
r.l = 0
r.i = -1
r.f = 0
}
func (r *sampleRing) iterator() chunkenc.Iterator {
return &sampleRingIterator{r: r, i: -1}
}
type sampleRingIterator struct {
r *sampleRing
i int
}
func (it *sampleRingIterator) Next() chunkenc.ValueType {
it.i++
if it.i < it.r.l {
return chunkenc.ValFloat
}
return chunkenc.ValNone
}
func (it *sampleRingIterator) Seek(int64) chunkenc.ValueType {
return chunkenc.ValNone
}
func (it *sampleRingIterator) Err() error {
return nil
}
func (it *sampleRingIterator) At() (int64, float64) {
return it.r.at(it.i)
}
func (it *sampleRingIterator) AtHistogram() (int64, *histogram.Histogram) {
panic(errors.New("sampleRingIterator: AtHistogram not implemented"))
}
func (it *sampleRingIterator) AtFloatHistogram() (int64, *histogram.FloatHistogram) {
panic(errors.New("sampleRingIterator: AtFloatHistogram not implemented"))
}
func (it *sampleRingIterator) AtT() int64 {
t, _ := it.r.at(it.i)
return t
}
func (r *sampleRing) at(i int) (int64, float64) {
j := (r.f + i) % len(r.buf)
s := r.buf[j]
return s.t, s.v
}
// add adds a sample to the ring buffer and frees all samples that fall
// out of the delta range.
func (r *sampleRing) add(t int64, v float64) {
l := len(r.buf)
// Grow the ring buffer if it fits no more elements.
if l == r.l {
buf := make([]sample, 2*l)
copy(buf[l+r.f:], r.buf[r.f:])
copy(buf, r.buf[:r.f])
r.buf = buf
r.i = r.f
r.f += l
} else {
r.i++
if r.i >= l {
r.i -= l
}
}
r.buf[r.i] = sample{t: t, v: v}
r.l++
// Free head of the buffer of samples that just fell out of the range.
for r.buf[r.f].t < t-r.delta {
r.f++
if r.f >= l {
r.f -= l
}
r.l--
}
}
// last returns the most recent element added to the ring.
func (r *sampleRing) last() (int64, float64, bool) {
if r.l == 0 {
return 0, 0, false
}
s := r.buf[r.i]
return s.t, s.v, true
}
func (r *sampleRing) samples() []sample {
res := make([]sample, r.l)
k := r.f + r.l
var j int
if k > len(r.buf) {
k = len(r.buf)
j = r.l - k + r.f
}
n := copy(res, r.buf[r.f:k])
copy(res[n:], r.buf[:j])
return res
}