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377 lines
8.7 KiB
377 lines
8.7 KiB
// 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) (t int64, v float64, h *histogram.Histogram, ok bool) {
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s, ok := b.buf.nthLast(n)
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return s.t, s.v, s.h, 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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