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167 lines
5.0 KiB
167 lines
5.0 KiB
// Copyright 2022 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 tsdb |
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import ( |
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"sort" |
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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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// OOOChunk maintains samples in time-ascending order. |
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// Inserts for timestamps already seen, are dropped. |
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// Samples are stored uncompressed to allow easy sorting. |
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// Perhaps we can be more efficient later. |
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type OOOChunk struct { |
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samples []sample |
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} |
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func NewOOOChunk() *OOOChunk { |
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return &OOOChunk{samples: make([]sample, 0, 4)} |
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} |
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// Insert inserts the sample such that order is maintained. |
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// Returns false if insert was not possible due to the same timestamp already existing. |
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func (o *OOOChunk) Insert(t int64, v float64, h *histogram.Histogram, fh *histogram.FloatHistogram) bool { |
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// Although out-of-order samples can be out-of-order amongst themselves, we |
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// are opinionated and expect them to be usually in-order meaning we could |
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// try to append at the end first if the new timestamp is higher than the |
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// last known timestamp. |
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if len(o.samples) == 0 || t > o.samples[len(o.samples)-1].t { |
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o.samples = append(o.samples, sample{t, v, h, fh}) |
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return true |
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} |
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// Find index of sample we should replace. |
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i := sort.Search(len(o.samples), func(i int) bool { return o.samples[i].t >= t }) |
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if i >= len(o.samples) { |
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// none found. append it at the end |
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o.samples = append(o.samples, sample{t, v, h, fh}) |
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return true |
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} |
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// Duplicate sample for timestamp is not allowed. |
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if o.samples[i].t == t { |
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return false |
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} |
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// Expand length by 1 to make room. use a zero sample, we will overwrite it anyway. |
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o.samples = append(o.samples, sample{}) |
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copy(o.samples[i+1:], o.samples[i:]) |
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o.samples[i] = sample{t, v, h, fh} |
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return true |
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} |
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func (o *OOOChunk) NumSamples() int { |
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return len(o.samples) |
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} |
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// ToEncodedChunks returns chunks with the samples in the OOOChunk. |
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// |
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//nolint:revive // unexported-return. |
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func (o *OOOChunk) ToEncodedChunks(mint, maxt int64) (chks []memChunk, err error) { |
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if len(o.samples) == 0 { |
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return nil, nil |
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} |
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// The most common case is that there will be a single chunk, with the same type of samples in it - this is always true for float samples. |
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chks = make([]memChunk, 0, 1) |
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var ( |
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cmint int64 |
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cmaxt int64 |
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chunk chunkenc.Chunk |
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app chunkenc.Appender |
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) |
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prevEncoding := chunkenc.EncNone // Yes we could call the chunk for this, but this is more efficient. |
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for _, s := range o.samples { |
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if s.t < mint { |
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continue |
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} |
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if s.t > maxt { |
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break |
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} |
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encoding := chunkenc.EncXOR |
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if s.h != nil { |
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encoding = chunkenc.EncHistogram |
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} else if s.fh != nil { |
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encoding = chunkenc.EncFloatHistogram |
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} |
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// prevApp is the appender for the previous sample. |
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prevApp := app |
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if encoding != prevEncoding { // For the first sample, this will always be true as EncNone != EncXOR | EncHistogram | EncFloatHistogram |
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if prevEncoding != chunkenc.EncNone { |
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chks = append(chks, memChunk{chunk, cmint, cmaxt, nil}) |
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} |
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cmint = s.t |
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switch encoding { |
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case chunkenc.EncXOR: |
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chunk = chunkenc.NewXORChunk() |
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case chunkenc.EncHistogram: |
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chunk = chunkenc.NewHistogramChunk() |
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case chunkenc.EncFloatHistogram: |
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chunk = chunkenc.NewFloatHistogramChunk() |
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default: |
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chunk = chunkenc.NewXORChunk() |
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} |
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app, err = chunk.Appender() |
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if err != nil { |
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return |
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} |
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} |
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switch encoding { |
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case chunkenc.EncXOR: |
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app.Append(s.t, s.f) |
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case chunkenc.EncHistogram: |
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// Ignoring ok is ok, since we don't want to compare to the wrong previous appender anyway. |
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prevHApp, _ := prevApp.(*chunkenc.HistogramAppender) |
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var ( |
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newChunk chunkenc.Chunk |
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recoded bool |
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) |
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newChunk, recoded, app, _ = app.AppendHistogram(prevHApp, s.t, s.h, false) |
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if newChunk != nil { // A new chunk was allocated. |
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if !recoded { |
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chks = append(chks, memChunk{chunk, cmint, cmaxt, nil}) |
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cmint = s.t |
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} |
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chunk = newChunk |
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} |
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case chunkenc.EncFloatHistogram: |
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// Ignoring ok is ok, since we don't want to compare to the wrong previous appender anyway. |
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prevHApp, _ := prevApp.(*chunkenc.FloatHistogramAppender) |
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var ( |
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newChunk chunkenc.Chunk |
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recoded bool |
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) |
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newChunk, recoded, app, _ = app.AppendFloatHistogram(prevHApp, s.t, s.fh, false) |
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if newChunk != nil { // A new chunk was allocated. |
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if !recoded { |
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chks = append(chks, memChunk{chunk, cmint, cmaxt, nil}) |
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cmint = s.t |
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} |
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chunk = newChunk |
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} |
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} |
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cmaxt = s.t |
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prevEncoding = encoding |
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} |
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if prevEncoding != chunkenc.EncNone { |
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chks = append(chks, memChunk{chunk, cmint, cmaxt, nil}) |
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} |
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return chks, nil |
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}
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