// Copyright 2021 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" "github.com/prometheus/prometheus/model/histogram" ) func writeHistogramChunkLayout(b *bstream, schema int32, zeroThreshold float64, positiveSpans, negativeSpans []histogram.Span) { putZeroThreshold(b, zeroThreshold) putVarbitInt(b, int64(schema)) putHistogramChunkLayoutSpans(b, positiveSpans) putHistogramChunkLayoutSpans(b, negativeSpans) } func readHistogramChunkLayout(b *bstreamReader) ( schema int32, zeroThreshold float64, positiveSpans, negativeSpans []histogram.Span, err error, ) { zeroThreshold, err = readZeroThreshold(b) if err != nil { return } v, err := readVarbitInt(b) if err != nil { return } schema = int32(v) positiveSpans, err = readHistogramChunkLayoutSpans(b) if err != nil { return } negativeSpans, err = readHistogramChunkLayoutSpans(b) if err != nil { return } return } func putHistogramChunkLayoutSpans(b *bstream, spans []histogram.Span) { putVarbitUint(b, uint64(len(spans))) for _, s := range spans { putVarbitUint(b, uint64(s.Length)) putVarbitInt(b, int64(s.Offset)) } } func readHistogramChunkLayoutSpans(b *bstreamReader) ([]histogram.Span, error) { var spans []histogram.Span num, err := readVarbitUint(b) if err != nil { return nil, err } for i := 0; i < int(num); i++ { length, err := readVarbitUint(b) if err != nil { return nil, err } offset, err := readVarbitInt(b) if err != nil { return nil, err } spans = append(spans, histogram.Span{ Length: uint32(length), Offset: int32(offset), }) } return spans, nil } // putZeroThreshold writes the zero threshold to the bstream. It stores typical // values in just one byte, but needs 9 bytes for other values. In detail: // // * If the threshold is 0, store a single zero byte. // // - If the threshold is a power of 2 between (and including) 2^-243 and 2^10, // take the exponent from the IEEE 754 representation of the threshold, which // covers a range between (and including) -242 and 11. (2^-243 is 0.5*2^-242 // in IEEE 754 representation, and 2^10 is 0.5*2^11.) Add 243 to the exponent // and store the result (which will be between 1 and 254) as a single // byte. Note that small powers of two are preferred values for the zero // threshold. The default value for the zero threshold is 2^-128 (or // 0.5*2^-127 in IEEE 754 representation) and will therefore be encoded as a // single byte (with value 116). // // - In all other cases, store 255 as a single byte, followed by the 8 bytes of // the threshold as a float64, i.e. taking 9 bytes in total. func putZeroThreshold(b *bstream, threshold float64) { if threshold == 0 { b.writeByte(0) return } frac, exp := math.Frexp(threshold) if frac != 0.5 || exp < -242 || exp > 11 { b.writeByte(255) b.writeBits(math.Float64bits(threshold), 64) return } b.writeByte(byte(exp + 243)) } // readZeroThreshold reads the zero threshold written with putZeroThreshold. func readZeroThreshold(br *bstreamReader) (float64, error) { b, err := br.ReadByte() if err != nil { return 0, err } switch b { case 0: return 0, nil case 255: v, err := br.readBits(64) if err != nil { return 0, err } return math.Float64frombits(v), nil default: return math.Ldexp(0.5, int(b)-243), nil } } type bucketIterator struct { spans []histogram.Span span int // Span position of last yielded bucket. bucket int // Bucket position within span of last yielded bucket. idx int // Bucket index (globally across all spans) of last yielded bucket. } func newBucketIterator(spans []histogram.Span) *bucketIterator { b := bucketIterator{ spans: spans, span: 0, bucket: -1, idx: -1, } if len(spans) > 0 { b.idx += int(spans[0].Offset) } return &b } func (b *bucketIterator) Next() (int, bool) { // We're already out of bounds. if b.span >= len(b.spans) { return 0, false } try: if b.bucket < int(b.spans[b.span].Length-1) { // Try to move within same span. b.bucket++ b.idx++ return b.idx, true } else if b.span < len(b.spans)-1 { // Try to move from one span to the next. b.span++ b.idx += int(b.spans[b.span].Offset + 1) b.bucket = 0 if b.spans[b.span].Length == 0 { // Pathological case that should never happen. We can't use this span, let's try again. goto try } return b.idx, true } // We're out of options. return 0, false } // An Interjection describes how many new buckets have to be introduced before // processing the pos'th delta from the original slice. type Interjection struct { pos int num int } // compareSpans returns the interjections to convert a slice of deltas to a new // slice representing an expanded set of buckets, or false if incompatible // (e.g. if buckets were removed). // // Example: // // Let's say the old buckets look like this: // // span syntax: [offset, length] // spans : [ 0 , 2 ] [2,1] [ 3 , 2 ] [3,1] [1,1] // bucket idx : [0] [1] 2 3 [4] 5 6 7 [8] [9] 10 11 12 [13] 14 [15] // raw values 6 3 3 2 4 5 1 // deltas 6 -3 0 -1 2 1 -4 // // But now we introduce a new bucket layout. (Carefully chosen example where we // have a span appended, one unchanged[*], one prepended, and two merge - in // that order.) // // [*] unchanged in terms of which bucket indices they represent. but to achieve // that, their offset needs to change if "disrupted" by spans changing ahead of // them // // \/ this one is "unchanged" // spans : [ 0 , 3 ] [1,1] [ 1 , 4 ] [ 3 , 3 ] // bucket idx : [0] [1] [2] 3 [4] 5 [6] [7] [8] [9] 10 11 12 [13] [14] [15] // raw values 6 3 0 3 0 0 2 4 5 0 1 // deltas 6 -3 -3 3 -3 0 2 2 1 -5 1 // delta mods: / \ / \ / \ // // Note that whenever any new buckets are introduced, the subsequent "old" // bucket needs to readjust its delta to the new base of 0. Thus, for the caller // who wants to transform the set of original deltas to a new set of deltas to // match a new span layout that adds buckets, we simply need to generate a list // of interjections. // // Note: Within compareSpans we don't have to worry about the changes to the // spans themselves, thanks to the iterators we get to work with the more useful // bucket indices (which of course directly correspond to the buckets we have to // adjust). func compareSpans(a, b []histogram.Span) ([]Interjection, bool) { ai := newBucketIterator(a) bi := newBucketIterator(b) var interjections []Interjection // When inter.num becomes > 0, this becomes a valid interjection that // should be yielded when we finish a streak of new buckets. var inter Interjection av, aOK := ai.Next() bv, bOK := bi.Next() loop: for { switch { case aOK && bOK: switch { case av == bv: // Both have an identical value. move on! // Finish WIP interjection and reset. if inter.num > 0 { interjections = append(interjections, inter) } inter.num = 0 av, aOK = ai.Next() bv, bOK = bi.Next() inter.pos++ case av < bv: // b misses a value that is in a. return interjections, false case av > bv: // a misses a value that is in b. Forward b and recompare. inter.num++ bv, bOK = bi.Next() } case aOK && !bOK: // b misses a value that is in a. return interjections, false case !aOK && bOK: // a misses a value that is in b. Forward b and recompare. inter.num++ bv, bOK = bi.Next() default: // Both iterators ran out. We're done. if inter.num > 0 { interjections = append(interjections, inter) } break loop } } return interjections, true } // interject merges 'in' with the provided interjections and writes them into // 'out', which must already have the appropriate length. func interject[BV bucketValue](in, out []BV, interjections []Interjection, deltas bool) []BV { var ( j int // Position in out. v BV // The last value seen. interj int // The next interjection to process. ) for i, d := range in { if interj < len(interjections) && i == interjections[interj].pos { // We have an interjection! // Add interjection.num new delta values such that their bucket values equate 0. // When deltas==false, it means that it is an absolute value. So we set it to 0 directly. if deltas { out[j] = -v } else { out[j] = 0 } j++ for x := 1; x < interjections[interj].num; x++ { out[j] = 0 j++ } interj++ // Now save the value from the input. The delta value we // should save is the original delta value + the last // value of the point before the interjection (to undo // the delta that was introduced by the interjection). // When deltas==false, it means that it is an absolute value, // so we set it directly to the value in the 'in' slice. if deltas { out[j] = d + v } else { out[j] = d } j++ v = d + v continue } // If there was no interjection, the original delta is still // valid. out[j] = d j++ v += d } switch interj { case len(interjections): // All interjections processed. Nothing more to do. case len(interjections) - 1: // One more interjection to process at the end. if deltas { out[j] = -v } else { out[j] = 0 } j++ for x := 1; x < interjections[interj].num; x++ { out[j] = 0 j++ } default: panic("unprocessed interjections left") } return out }