mirror of
https://github.com/prometheus/prometheus.git
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d121db7a65
In most cases, there is no sample at `maxt`, so `PeekBack` has to be used. So far, `PeekBack` did not return a float histogram, and we disregarded even any returned normal histogram. This fixes both, and also tweaks the unit test to discover the problem (by using an earlier timestamp than "now" for the samples in the TSDB). Signed-off-by: beorn7 <beorn@grafana.com>
379 lines
8.7 KiB
Go
379 lines
8.7 KiB
Go
// Copyright 2017 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 storage
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import (
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"fmt"
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"math"
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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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type BufferedSeriesIterator struct {
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it chunkenc.Iterator
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buf *sampleRing
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delta int64
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lastTime int64
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valueType chunkenc.ValueType
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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, initialized with an
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// empty iterator. Use Reset() to set an actual iterator to be buffered.
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func NewBuffer(delta int64) *BufferedSeriesIterator {
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return NewBufferIterator(chunkenc.NewNopIterator(), delta)
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}
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// NewBufferIterator returns a new iterator that buffers the values within the
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// time range of the current element and the duration of delta before.
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func NewBufferIterator(it chunkenc.Iterator, delta int64) *BufferedSeriesIterator {
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// TODO(codesome): based on encoding, allocate different buffer.
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bit := &BufferedSeriesIterator{
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buf: newSampleRing(delta, 16),
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delta: delta,
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}
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bit.Reset(it)
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return bit
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}
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// Reset re-uses the buffer with a new iterator, resetting the buffered time
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// delta to its original value.
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func (b *BufferedSeriesIterator) Reset(it chunkenc.Iterator) {
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b.it = it
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b.lastTime = math.MinInt64
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b.buf.reset()
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b.buf.delta = b.delta
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b.valueType = it.Next()
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}
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// ReduceDelta lowers the buffered time delta, for the current SeriesIterator only.
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func (b *BufferedSeriesIterator) ReduceDelta(delta int64) bool {
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return b.buf.reduceDelta(delta)
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}
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// PeekBack returns the nth 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(n int) (
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t int64, v float64, h *histogram.Histogram, fh *histogram.FloatHistogram, ok bool,
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) {
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s, ok := b.buf.nthLast(n)
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return s.t, s.v, s.h, s.fh, ok
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}
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// Buffer returns an iterator over the buffered data. Invalidates previously
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// returned iterators.
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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 b.valueType != chunkenc.ValNone && t0 > b.lastTime {
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b.buf.reset()
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b.valueType = b.it.Seek(t0)
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switch b.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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b.lastTime, _ = b.At()
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case chunkenc.ValHistogram:
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b.lastTime, _ = b.AtHistogram()
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case chunkenc.ValFloatHistogram:
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b.lastTime, _ = b.AtFloatHistogram()
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default:
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panic(fmt.Errorf("BufferedSeriesIterator: unknown value type %v", b.valueType))
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}
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}
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if b.lastTime >= t {
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return b.valueType
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}
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for {
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if b.valueType = b.Next(); b.valueType == chunkenc.ValNone || b.lastTime >= t {
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return b.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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switch b.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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t, v := b.it.At()
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b.buf.add(sample{t: t, v: v})
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case chunkenc.ValHistogram:
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t, h := b.it.AtHistogram()
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b.buf.add(sample{t: t, h: h})
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case chunkenc.ValFloatHistogram:
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t, fh := b.it.AtFloatHistogram()
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b.buf.add(sample{t: t, fh: fh})
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default:
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panic(fmt.Errorf("BufferedSeriesIterator: unknown value type %v", b.valueType))
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}
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b.valueType = b.it.Next()
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if b.valueType != chunkenc.ValNone {
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b.lastTime = b.AtT()
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}
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return b.valueType
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}
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// At returns the current float 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 returns the current histogram element of the iterator.
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func (b *BufferedSeriesIterator) AtHistogram() (int64, *histogram.Histogram) {
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return b.it.AtHistogram()
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}
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// AtFloatHistogram returns the current float-histogram element of the iterator.
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func (b *BufferedSeriesIterator) AtFloatHistogram() (int64, *histogram.FloatHistogram) {
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return b.it.AtFloatHistogram()
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}
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// AtT returns the current timestamp 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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// TODO(beorn7): Consider having different sample types for different value types.
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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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it sampleRingIterator
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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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// Returns the current iterator. Invalidates previously returned iterators.
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func (r *sampleRing) iterator() chunkenc.Iterator {
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r.it.r = r
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r.it.i = -1
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return &r.it
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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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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 (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.ValNone
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}
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s := it.r.at(it.i)
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it.t = s.t
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switch {
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case s.h != nil:
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it.h = s.h
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return chunkenc.ValHistogram
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case s.fh != nil:
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it.fh = s.fh
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return chunkenc.ValFloatHistogram
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default:
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it.v = s.v
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return chunkenc.ValFloat
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}
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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.t, it.v
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}
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func (it *sampleRingIterator) AtHistogram() (int64, *histogram.Histogram) {
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return it.t, it.h
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}
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func (it *sampleRingIterator) AtFloatHistogram() (int64, *histogram.FloatHistogram) {
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if it.fh == nil {
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return it.t, it.h.ToFloat()
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}
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return it.t, it.fh
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}
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func (it *sampleRingIterator) AtT() int64 {
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return it.t
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}
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func (r *sampleRing) at(i int) sample {
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j := (r.f + i) % len(r.buf)
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return r.buf[j]
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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(s sample) {
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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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l = 2 * 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] = s
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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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tmin := s.t - r.delta
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for r.buf[r.f].t < tmin {
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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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// reduceDelta lowers the buffered time delta, dropping any samples that are
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// out of the new delta range.
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func (r *sampleRing) reduceDelta(delta int64) bool {
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if delta > r.delta {
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return false
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}
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r.delta = delta
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if r.l == 0 {
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return true
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}
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// Free head of the buffer of samples that just fell out of the range.
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l := len(r.buf)
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tmin := r.buf[r.i].t - delta
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for r.buf[r.f].t < tmin {
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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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return true
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}
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// nthLast returns the nth most recent element added to the ring.
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func (r *sampleRing) nthLast(n int) (sample, bool) {
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if n > r.l {
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return sample{}, false
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}
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return r.at(r.l - n), 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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