// Copyright 2017 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 chunkenc import ( "math" "sync" "github.com/pkg/errors" "github.com/prometheus/prometheus/model/histogram" ) // Encoding is the identifier for a chunk encoding. type Encoding uint8 // The different available chunk encodings. const ( EncNone Encoding = iota EncXOR EncHistogram EncFloatHistogram ) func (e Encoding) String() string { switch e { case EncNone: return "none" case EncXOR: return "XOR" case EncHistogram: return "histogram" case EncFloatHistogram: return "floathistogram" } return "" } // Chunk encodings for out-of-order chunks. // These encodings must be only used by the Head block for its internal bookkeeping. const ( OutOfOrderMask = 0b10000000 EncOOOXOR = EncXOR | OutOfOrderMask ) func IsOutOfOrderChunk(e Encoding) bool { return (e & OutOfOrderMask) != 0 } // IsValidEncoding returns true for supported encodings. func IsValidEncoding(e Encoding) bool { return e == EncXOR || e == EncOOOXOR || e == EncHistogram || e == EncFloatHistogram } // Chunk holds a sequence of sample pairs that can be iterated over and appended to. type Chunk interface { // Bytes returns the underlying byte slice of the chunk. Bytes() []byte // Encoding returns the encoding type of the chunk. Encoding() Encoding // Appender returns an appender to append samples to the chunk. Appender() (Appender, error) // The iterator passed as argument is for re-use. // Depending on implementation, the iterator can // be re-used or a new iterator can be allocated. Iterator(Iterator) Iterator // NumSamples returns the number of samples in the chunk. NumSamples() int // Compact is called whenever a chunk is expected to be complete (no more // samples appended) and the underlying implementation can eventually // optimize the chunk. // There's no strong guarantee that no samples will be appended once // Compact() is called. Implementing this function is optional. Compact() } // Appender adds sample pairs to a chunk. type Appender interface { Append(int64, float64) AppendHistogram(t int64, h *histogram.Histogram) AppendFloatHistogram(t int64, h *histogram.FloatHistogram) } // Iterator is a simple iterator that can only get the next value. // Iterator iterates over the samples of a time series, in timestamp-increasing order. type Iterator interface { // Next advances the iterator by one and returns the type of the value // at the new position (or ValNone if the iterator is exhausted). Next() ValueType // Seek advances the iterator forward to the first sample with a // timestamp equal or greater than t. If the current sample found by a // previous `Next` or `Seek` operation already has this property, Seek // has no effect. If a sample has been found, Seek returns the type of // its value. Otherwise, it returns ValNone, after with the iterator is // exhausted. Seek(t int64) ValueType // At returns the current timestamp/value pair if the value is a float. // Before the iterator has advanced, the behaviour is unspecified. At() (int64, float64) // AtHistogram returns the current timestamp/value pair if the value is // a histogram with integer counts. Before the iterator has advanced, // the behaviour is unspecified. AtHistogram() (int64, *histogram.Histogram) // AtFloatHistogram returns the current timestamp/value pair if the // value is a histogram with floating-point counts. It also works if the // value is a histogram with integer counts, in which case a // FloatHistogram copy of the histogram is returned. Before the iterator // has advanced, the behaviour is unspecified. AtFloatHistogram() (int64, *histogram.FloatHistogram) // AtT returns the current timestamp. // Before the iterator has advanced, the behaviour is unspecified. AtT() int64 // Err returns the current error. It should be used only after the // iterator is exhausted, i.e. `Next` or `Seek` have returned ValNone. Err() error } // ValueType defines the type of a value an Iterator points to. type ValueType uint8 // Possible values for ValueType. const ( ValNone ValueType = iota // No value at the current position. ValFloat // A simple float, retrieved with At. ValHistogram // A histogram, retrieve with AtHistogram, but AtFloatHistogram works, too. ValFloatHistogram // A floating-point histogram, retrieve with AtFloatHistogram. ) func (v ValueType) String() string { switch v { case ValNone: return "none" case ValFloat: return "float" case ValHistogram: return "histogram" case ValFloatHistogram: return "floathistogram" default: return "unknown" } } func (v ValueType) ChunkEncoding() Encoding { switch v { case ValFloat: return EncXOR case ValHistogram: return EncHistogram case ValFloatHistogram: return EncFloatHistogram default: return EncNone } } // MockSeriesIterator returns an iterator for a mock series with custom timeStamps and values. func MockSeriesIterator(timestamps []int64, values []float64) Iterator { return &mockSeriesIterator{ timeStamps: timestamps, values: values, currIndex: 0, } } type mockSeriesIterator struct { timeStamps []int64 values []float64 currIndex int } func (it *mockSeriesIterator) Seek(int64) ValueType { return ValNone } func (it *mockSeriesIterator) At() (int64, float64) { return it.timeStamps[it.currIndex], it.values[it.currIndex] } func (it *mockSeriesIterator) AtHistogram() (int64, *histogram.Histogram) { return math.MinInt64, nil } func (it *mockSeriesIterator) AtFloatHistogram() (int64, *histogram.FloatHistogram) { return math.MinInt64, nil } func (it *mockSeriesIterator) AtT() int64 { return it.timeStamps[it.currIndex] } func (it *mockSeriesIterator) Next() ValueType { if it.currIndex < len(it.timeStamps)-1 { it.currIndex++ return ValFloat } return ValNone } func (it *mockSeriesIterator) Err() error { return nil } // NewNopIterator returns a new chunk iterator that does not hold any data. func NewNopIterator() Iterator { return nopIterator{} } type nopIterator struct{} func (nopIterator) Next() ValueType { return ValNone } func (nopIterator) Seek(int64) ValueType { return ValNone } func (nopIterator) At() (int64, float64) { return math.MinInt64, 0 } func (nopIterator) AtHistogram() (int64, *histogram.Histogram) { return math.MinInt64, nil } func (nopIterator) AtFloatHistogram() (int64, *histogram.FloatHistogram) { return math.MinInt64, nil } func (nopIterator) AtT() int64 { return math.MinInt64 } func (nopIterator) Err() error { return nil } // Pool is used to create and reuse chunk references to avoid allocations. type Pool interface { Put(Chunk) error Get(e Encoding, b []byte) (Chunk, error) } // pool is a memory pool of chunk objects. type pool struct { xor sync.Pool histogram sync.Pool floatHistogram sync.Pool } // NewPool returns a new pool. func NewPool() Pool { return &pool{ xor: sync.Pool{ New: func() interface{} { return &XORChunk{b: bstream{}} }, }, histogram: sync.Pool{ New: func() interface{} { return &HistogramChunk{b: bstream{}} }, }, floatHistogram: sync.Pool{ New: func() interface{} { return &FloatHistogramChunk{b: bstream{}} }, }, } } func (p *pool) Get(e Encoding, b []byte) (Chunk, error) { switch e { case EncXOR, EncOOOXOR: c := p.xor.Get().(*XORChunk) c.b.stream = b c.b.count = 0 return c, nil case EncHistogram: c := p.histogram.Get().(*HistogramChunk) c.b.stream = b c.b.count = 0 return c, nil case EncFloatHistogram: c := p.floatHistogram.Get().(*FloatHistogramChunk) c.b.stream = b c.b.count = 0 return c, nil } return nil, errors.Errorf("invalid chunk encoding %q", e) } func (p *pool) Put(c Chunk) error { switch c.Encoding() { case EncXOR, EncOOOXOR: xc, ok := c.(*XORChunk) // This may happen often with wrapped chunks. Nothing we can really do about // it but returning an error would cause a lot of allocations again. Thus, // we just skip it. if !ok { return nil } xc.b.stream = nil xc.b.count = 0 p.xor.Put(c) case EncHistogram: sh, ok := c.(*HistogramChunk) // This may happen often with wrapped chunks. Nothing we can really do about // it but returning an error would cause a lot of allocations again. Thus, // we just skip it. if !ok { return nil } sh.b.stream = nil sh.b.count = 0 p.histogram.Put(c) case EncFloatHistogram: sh, ok := c.(*FloatHistogramChunk) // This may happen often with wrapped chunks. Nothing we can really do about // it but returning an error would cause a lot of allocations again. Thus, // we just skip it. if !ok { return nil } sh.b.stream = nil sh.b.count = 0 p.floatHistogram.Put(c) default: return errors.Errorf("invalid chunk encoding %q", c.Encoding()) } return nil } // FromData returns a chunk from a byte slice of chunk data. // This is there so that users of the library can easily create chunks from // bytes. func FromData(e Encoding, d []byte) (Chunk, error) { switch e { case EncXOR, EncOOOXOR: return &XORChunk{b: bstream{count: 0, stream: d}}, nil case EncHistogram: return &HistogramChunk{b: bstream{count: 0, stream: d}}, nil case EncFloatHistogram: return &FloatHistogramChunk{b: bstream{count: 0, stream: d}}, nil } return nil, errors.Errorf("invalid chunk encoding %q", e) } // NewEmptyChunk returns an empty chunk for the given encoding. func NewEmptyChunk(e Encoding) (Chunk, error) { switch e { case EncXOR: return NewXORChunk(), nil case EncHistogram: return NewHistogramChunk(), nil case EncFloatHistogram: return NewFloatHistogramChunk(), nil } return nil, errors.Errorf("invalid chunk encoding %q", e) }