// 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 histogram import ( "math" ) // SparseHistogram encodes a sparse histogram // full details: https://docs.google.com/document/d/1cLNv3aufPZb3fNfaJgdaRBZsInZKKIHo9E6HinJVbpM/edit# // the most tricky bit is how bucket indices represent real bucket boundaries // // an example for schema 0 (which doubles the size of consecutive buckets): // // buckets syntax (LE,GE) (-2,-1) (-1,-0.5) (-0.5,-0.25) ... (-0.001-0.001) ... (0.25-0.5)(0.5-1) (1-2) .... // ^ // zero bucket (here width a width of 0.001) ZB // pos bucket idx ... -1 0 1 2 3 // neg bucket idx 3 2 1 0 -1 ... // actively used bucket indices themselves are represented by the spans type SparseHistogram struct { Count, ZeroCount uint64 Sum, ZeroThreshold float64 Schema int32 PositiveSpans, NegativeSpans []Span PositiveBuckets, NegativeBuckets []int64 } type Span struct { Offset int32 Length uint32 } func (s SparseHistogram) Copy() SparseHistogram { c := s if s.PositiveSpans != nil { c.PositiveSpans = make([]Span, len(s.PositiveSpans)) copy(c.PositiveSpans, s.PositiveSpans) } if s.NegativeSpans != nil { c.NegativeSpans = make([]Span, len(s.NegativeSpans)) copy(c.NegativeSpans, s.NegativeSpans) } if s.PositiveBuckets != nil { c.PositiveBuckets = make([]int64, len(s.PositiveBuckets)) copy(c.PositiveBuckets, s.PositiveBuckets) } if s.NegativeBuckets != nil { c.NegativeBuckets = make([]int64, len(s.NegativeBuckets)) copy(c.NegativeBuckets, s.NegativeBuckets) } return c } type BucketIterator interface { // Next advances the iterator by one. Next() bool // At returns the current bucket. At() Bucket // Err returns the current error. It should be used only after iterator is // exhausted, that is `Next` or `Seek` returns false. Err() error } type Bucket struct { Le float64 Count uint64 } // CumulativeExpandSparseHistogram expands the given histogram to produce cumulative buckets. // It assumes that the total length of spans matches the number of buckets for pos and neg respectively. // TODO: supports only positive buckets, also do for negative. func CumulativeExpandSparseHistogram(h SparseHistogram) BucketIterator { return &cumulativeBucketIterator{h: h, posSpansIdx: -1} } type cumulativeBucketIterator struct { h SparseHistogram posSpansIdx int // Index in h.PositiveSpans we are in. -1 means 0 bucket. posBucketsIdx int // Index in h.PositiveBuckets idxInSpan uint32 // Index in the current span. 0 <= idxInSpan < span.Length. initialised bool currIdx int32 // The actual bucket index after decoding from spans. currLe float64 // The upper boundary of the current bucket. currCount int64 // Current non-cumulative count for the current bucket. Does not apply for empty bucket. currCumulativeCount uint64 // Current "cumulative" count for the current bucket. // Between 2 spans there could be some empty buckets which // still needs to be counted for cumulative buckets. // When we hit the end of a span, we use this to iterate // through the empty buckets. emptyBucketCount int32 } func (c *cumulativeBucketIterator) Next() bool { if c.posSpansIdx == -1 { // Zero bucket. c.posSpansIdx++ if c.h.ZeroCount == 0 { return c.Next() } c.currLe = c.h.ZeroThreshold c.currCount = int64(c.h.ZeroCount) c.currCumulativeCount = uint64(c.currCount) return true } if c.posSpansIdx >= len(c.h.PositiveSpans) { return false } if c.emptyBucketCount > 0 { // We are traversing through empty buckets at the moment. c.currLe = getLe(c.currIdx, c.h.Schema) c.currIdx++ c.emptyBucketCount-- return true } span := c.h.PositiveSpans[c.posSpansIdx] if c.posSpansIdx == 0 && !c.initialised { // Initialising. c.currIdx = span.Offset // The first bucket is absolute value and not a delta with Zero bucket. c.currCount = 0 c.initialised = true } c.currCount += c.h.PositiveBuckets[c.posBucketsIdx] c.currCumulativeCount += uint64(c.currCount) c.currLe = getLe(c.currIdx, c.h.Schema) c.posBucketsIdx++ c.idxInSpan++ c.currIdx++ if c.idxInSpan >= span.Length { // Move to the next span. This one is done. c.posSpansIdx++ c.idxInSpan = 0 if c.posSpansIdx < len(c.h.PositiveSpans) { c.emptyBucketCount = c.h.PositiveSpans[c.posSpansIdx].Offset } } return true } func (c *cumulativeBucketIterator) At() Bucket { return Bucket{ Le: c.currLe, Count: c.currCumulativeCount, } } func (c *cumulativeBucketIterator) Err() error { return nil } func getLe(idx, schema int32) float64 { if schema < 0 { return math.Ldexp(1, int(idx)<<(-schema)) } fracIdx := idx & ((1 << schema) - 1) frac := sparseBounds[schema][fracIdx] exp := (int(idx) >> schema) + 1 return math.Ldexp(frac, exp) } var sparseBounds = [][]float64{ // Schema "0": {0.5}, // Schema 1: {0.5, 0.7071067811865475}, // Schema 2: {0.5, 0.5946035575013605, 0.7071067811865475, 0.8408964152537144}, // Schema 3: {0.5, 0.5452538663326288, 0.5946035575013605, 0.6484197773255048, 0.7071067811865475, 0.7711054127039704, 0.8408964152537144, 0.9170040432046711}, // Schema 4: {0.5, 0.5221368912137069, 0.5452538663326288, 0.5693943173783458, 0.5946035575013605, 0.620928906036742, 0.6484197773255048, 0.6771277734684463, 0.7071067811865475, 0.7384130729697496, 0.7711054127039704, 0.805245165974627, 0.8408964152537144, 0.8781260801866495, 0.9170040432046711, 0.9576032806985735}, // Schema 5: {0.5, 0.5109485743270583, 0.5221368912137069, 0.5335702003384117, 0.5452538663326288, 0.5571933712979462, 0.5693943173783458, 0.5818624293887887, 0.5946035575013605, 0.6076236799902344, 0.620928906036742, 0.6345254785958666, 0.6484197773255048, 0.6626183215798706, 0.6771277734684463, 0.6919549409819159, 0.7071067811865475, 0.7225904034885232, 0.7384130729697496, 0.7545822137967112, 0.7711054127039704, 0.7879904225539431, 0.805245165974627, 0.8228777390769823, 0.8408964152537144, 0.8593096490612387, 0.8781260801866495, 0.8973545375015533, 0.9170040432046711, 0.9370838170551498, 0.9576032806985735, 0.9785720620876999}, // Schema 6: {0.5, 0.5054446430258502, 0.5109485743270583, 0.5165124395106142, 0.5221368912137069, 0.5278225891802786, 0.5335702003384117, 0.5393803988785598, 0.5452538663326288, 0.5511912916539204, 0.5571933712979462, 0.5632608093041209, 0.5693943173783458, 0.5755946149764913, 0.5818624293887887, 0.5881984958251406, 0.5946035575013605, 0.6010783657263515, 0.6076236799902344, 0.6142402680534349, 0.620928906036742, 0.6276903785123455, 0.6345254785958666, 0.6414350080393891, 0.6484197773255048, 0.6554806057623822, 0.6626183215798706, 0.6698337620266515, 0.6771277734684463, 0.6845012114872953, 0.6919549409819159, 0.6994898362691555, 0.7071067811865475, 0.7148066691959849, 0.7225904034885232, 0.7304588970903234, 0.7384130729697496, 0.7464538641456323, 0.7545822137967112, 0.762799075372269, 0.7711054127039704, 0.7795022001189185, 0.7879904225539431, 0.7965710756711334, 0.805245165974627, 0.8140137109286738, 0.8228777390769823, 0.8318382901633681, 0.8408964152537144, 0.8500531768592616, 0.8593096490612387, 0.8686669176368529, 0.8781260801866495, 0.8876882462632604, 0.8973545375015533, 0.9071260877501991, 0.9170040432046711, 0.9269895625416926, 0.9370838170551498, 0.9472879907934827, 0.9576032806985735, 0.9680308967461471, 0.9785720620876999, 0.9892280131939752}, // Schema 7: {0.5, 0.5027149505564014, 0.5054446430258502, 0.5081891574554764, 0.5109485743270583, 0.5137229745593818, 0.5165124395106142, 0.5193170509806894, 0.5221368912137069, 0.5249720429003435, 0.5278225891802786, 0.5306886136446309, 0.5335702003384117, 0.5364674337629877, 0.5393803988785598, 0.5423091811066545, 0.5452538663326288, 0.5482145409081883, 0.5511912916539204, 0.5541842058618393, 0.5571933712979462, 0.5602188762048033, 0.5632608093041209, 0.5663192597993595, 0.5693943173783458, 0.572486072215902, 0.5755946149764913, 0.5787200368168754, 0.5818624293887887, 0.585021884841625, 0.5881984958251406, 0.5913923554921704, 0.5946035575013605, 0.5978321960199137, 0.6010783657263515, 0.6043421618132907, 0.6076236799902344, 0.6109230164863786, 0.6142402680534349, 0.6175755319684665, 0.620928906036742, 0.6243004885946023, 0.6276903785123455, 0.6310986751971253, 0.6345254785958666, 0.637970889198196, 0.6414350080393891, 0.6449179367033329, 0.6484197773255048, 0.6519406325959679, 0.6554806057623822, 0.659039800633032, 0.6626183215798706, 0.6662162735415805, 0.6698337620266515, 0.6734708931164728, 0.6771277734684463, 0.6808045103191123, 0.6845012114872953, 0.688217985377265, 0.6919549409819159, 0.6957121878859629, 0.6994898362691555, 0.7032879969095076, 0.7071067811865475, 0.7109463010845827, 0.7148066691959849, 0.718687998724491, 0.7225904034885232, 0.7265139979245261, 0.7304588970903234, 0.7344252166684908, 0.7384130729697496, 0.7424225829363761, 0.7464538641456323, 0.7505070348132126, 0.7545822137967112, 0.7586795205991071, 0.762799075372269, 0.7669409989204777, 0.7711054127039704, 0.7752924388424999, 0.7795022001189185, 0.7837348199827764, 0.7879904225539431, 0.7922691326262467, 0.7965710756711334, 0.8008963778413465, 0.805245165974627, 0.8096175675974316, 0.8140137109286738, 0.8184337248834821, 0.8228777390769823, 0.8273458838280969, 0.8318382901633681, 0.8363550898207981, 0.8408964152537144, 0.8454623996346523, 0.8500531768592616, 0.8546688815502312, 0.8593096490612387, 0.8639756154809185, 0.8686669176368529, 0.8733836930995842, 0.8781260801866495, 0.8828942179666361, 0.8876882462632604, 0.8925083056594671, 0.8973545375015533, 0.9022270839033115, 0.9071260877501991, 0.9120516927035263, 0.9170040432046711, 0.9219832844793128, 0.9269895625416926, 0.9320230241988943, 0.9370838170551498, 0.9421720895161669, 0.9472879907934827, 0.9524316709088368, 0.9576032806985735, 0.9628029718180622, 0.9680308967461471, 0.9732872087896164, 0.9785720620876999, 0.9838856116165875, 0.9892280131939752, 0.9945994234836328}, // Schema 8: {0.5, 0.5013556375251013, 0.5027149505564014, 0.5040779490592088, 0.5054446430258502, 0.5068150424757447, 0.5081891574554764, 0.509566998038869, 0.5109485743270583, 0.5123338964485679, 0.5137229745593818, 0.5151158188430205, 0.5165124395106142, 0.5179128468009786, 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