mirror of
https://github.com/prometheus/prometheus.git
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7e42acd3b1
- 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>
293 lines
6.6 KiB
Go
293 lines
6.6 KiB
Go
// Copyright 2018 The Prometheus Authors
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package tsdbutil
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import (
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"fmt"
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"math"
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"github.com/pkg/errors"
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"github.com/prometheus/prometheus/model/histogram"
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"github.com/prometheus/prometheus/tsdb/chunkenc"
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)
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// BufferedSeriesIterator wraps an iterator with a look-back buffer.
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//
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// TODO(beorn7): BufferedSeriesIterator does not support Histograms or
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// FloatHistograms. Either add support or remove BufferedSeriesIterator
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// altogether (it seems unused).
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type BufferedSeriesIterator struct {
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it chunkenc.Iterator
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buf *sampleRing
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lastTime int64
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}
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// NewBuffer returns a new iterator that buffers the values within the time range
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// of the current element and the duration of delta before.
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func NewBuffer(it chunkenc.Iterator, delta int64) *BufferedSeriesIterator {
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return &BufferedSeriesIterator{
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it: it,
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buf: newSampleRing(delta, 16),
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lastTime: math.MinInt64,
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}
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}
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// PeekBack returns the previous element of the iterator. If there is none buffered,
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// ok is false.
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func (b *BufferedSeriesIterator) PeekBack() (t int64, v float64, ok bool) {
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return b.buf.last()
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}
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// Buffer returns an iterator over the buffered data.
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func (b *BufferedSeriesIterator) Buffer() chunkenc.Iterator {
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return b.buf.iterator()
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}
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// Seek advances the iterator to the element at time t or greater.
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func (b *BufferedSeriesIterator) Seek(t int64) chunkenc.ValueType {
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t0 := t - b.buf.delta
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// If the delta would cause us to seek backwards, preserve the buffer
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// and just continue regular advancement while filling the buffer on the way.
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if t0 > b.lastTime {
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b.buf.reset()
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if b.it.Seek(t0) == chunkenc.ValNone {
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return chunkenc.ValNone
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}
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b.lastTime = b.AtT()
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}
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if b.lastTime >= t {
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return chunkenc.ValFloat
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}
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for {
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valueType := b.Next()
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switch valueType {
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case chunkenc.ValNone:
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return chunkenc.ValNone
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case chunkenc.ValFloat:
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if b.lastTime >= t {
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return valueType
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}
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default:
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panic(fmt.Errorf("BufferedSeriesIterator: unsupported value type %v", valueType))
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}
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if b.lastTime >= t {
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return valueType
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}
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}
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}
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// Next advances the iterator to the next element.
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func (b *BufferedSeriesIterator) Next() chunkenc.ValueType {
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// Add current element to buffer before advancing.
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b.buf.add(b.it.At())
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valueType := b.it.Next()
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if valueType != chunkenc.ValNone {
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b.lastTime = b.AtT()
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}
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return valueType
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}
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// At returns the current element of the iterator.
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func (b *BufferedSeriesIterator) At() (int64, float64) {
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return b.it.At()
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}
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// AtHistogram is unsupported.
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func (b *BufferedSeriesIterator) AtHistogram() (int64, *histogram.Histogram) {
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panic(errors.New("BufferedSeriesIterator: AtHistogram not implemented"))
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}
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// AtFloatHistogram is unsupported.
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func (b *BufferedSeriesIterator) AtFloatHistogram() (int64, *histogram.FloatHistogram) {
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panic(errors.New("BufferedSeriesIterator: AtFloatHistogram not implemented"))
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}
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// At returns the timestamp of the current element of the iterator.
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func (b *BufferedSeriesIterator) AtT() int64 {
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return b.it.AtT()
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}
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// Err returns the last encountered error.
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func (b *BufferedSeriesIterator) Err() error {
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return b.it.Err()
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}
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type sample struct {
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t int64
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v float64
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h *histogram.Histogram
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fh *histogram.FloatHistogram
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}
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func (s sample) T() int64 {
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return s.t
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}
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func (s sample) V() float64 {
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return s.v
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}
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func (s sample) H() *histogram.Histogram {
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return s.h
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}
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func (s sample) FH() *histogram.FloatHistogram {
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return s.fh
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}
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func (s sample) Type() chunkenc.ValueType {
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switch {
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case s.h != nil:
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return chunkenc.ValHistogram
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case s.fh != nil:
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return chunkenc.ValFloatHistogram
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default:
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return chunkenc.ValFloat
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}
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}
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type sampleRing struct {
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delta int64
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buf []sample // lookback buffer
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i int // position of most recent element in ring buffer
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f int // position of first element in ring buffer
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l int // number of elements in buffer
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}
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func newSampleRing(delta int64, sz int) *sampleRing {
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r := &sampleRing{delta: delta, buf: make([]sample, sz)}
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r.reset()
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return r
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}
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func (r *sampleRing) reset() {
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r.l = 0
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r.i = -1
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r.f = 0
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}
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func (r *sampleRing) iterator() chunkenc.Iterator {
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return &sampleRingIterator{r: r, i: -1}
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}
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type sampleRingIterator struct {
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r *sampleRing
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i int
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}
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func (it *sampleRingIterator) Next() chunkenc.ValueType {
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it.i++
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if it.i < it.r.l {
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return chunkenc.ValFloat
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}
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return chunkenc.ValNone
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}
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func (it *sampleRingIterator) Seek(int64) chunkenc.ValueType {
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return chunkenc.ValNone
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}
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func (it *sampleRingIterator) Err() error {
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return nil
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}
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func (it *sampleRingIterator) At() (int64, float64) {
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return it.r.at(it.i)
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}
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func (it *sampleRingIterator) AtHistogram() (int64, *histogram.Histogram) {
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panic(errors.New("sampleRingIterator: AtHistogram not implemented"))
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}
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func (it *sampleRingIterator) AtFloatHistogram() (int64, *histogram.FloatHistogram) {
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panic(errors.New("sampleRingIterator: AtFloatHistogram not implemented"))
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}
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func (it *sampleRingIterator) AtT() int64 {
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t, _ := it.r.at(it.i)
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return t
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}
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func (r *sampleRing) at(i int) (int64, float64) {
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j := (r.f + i) % len(r.buf)
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s := r.buf[j]
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return s.t, s.v
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}
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// add adds a sample to the ring buffer and frees all samples that fall
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// out of the delta range.
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func (r *sampleRing) add(t int64, v float64) {
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l := len(r.buf)
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// Grow the ring buffer if it fits no more elements.
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if l == r.l {
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buf := make([]sample, 2*l)
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copy(buf[l+r.f:], r.buf[r.f:])
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copy(buf, r.buf[:r.f])
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r.buf = buf
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r.i = r.f
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r.f += l
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} else {
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r.i++
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if r.i >= l {
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r.i -= l
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}
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}
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r.buf[r.i] = sample{t: t, v: v}
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r.l++
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// Free head of the buffer of samples that just fell out of the range.
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for r.buf[r.f].t < t-r.delta {
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r.f++
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if r.f >= l {
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r.f -= l
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}
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r.l--
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}
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}
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// last returns the most recent element added to the ring.
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func (r *sampleRing) last() (int64, float64, bool) {
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if r.l == 0 {
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return 0, 0, false
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}
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s := r.buf[r.i]
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return s.t, s.v, true
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}
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func (r *sampleRing) samples() []sample {
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res := make([]sample, r.l)
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k := r.f + r.l
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var j int
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if k > len(r.buf) {
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k = len(r.buf)
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j = r.l - k + r.f
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}
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n := copy(res, r.buf[r.f:k])
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copy(res[n:], r.buf[:j])
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return res
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}
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