// Copyright 2013 Prometheus Team // 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 metric import ( "fmt" "github.com/prometheus/prometheus/model" "math" "sort" "time" ) // Encapsulates a primitive query operation. type op interface { // The time at which this operation starts. StartsAt() time.Time // Extract samples from stream of values and advance operation time. ExtractSamples(in model.Values) (out model.Values) // Get current operation time or nil if no subsequent work associated with // this operator remains. CurrentTime() *time.Time // GreedierThan indicates whether this present operation should take // precedence over the other operation due to greediness. // // A critical assumption is that this operator and the other occur at the // same time: this.StartsAt().Equal(op.StartsAt()). GreedierThan(op) bool } // Provides a sortable collection of operations. type ops []op func (o ops) Len() int { return len(o) } // startsAtSort implements the sorting protocol and allows operator to be sorted // in chronological order by when they start. type startsAtSort struct { ops } func (s startsAtSort) Less(i, j int) bool { return s.ops[i].StartsAt().Before(s.ops[j].StartsAt()) } func (o ops) Swap(i, j int) { o[i], o[j] = o[j], o[i] } // Encapsulates getting values at or adjacent to a specific time. type getValuesAtTimeOp struct { time time.Time consumed bool } func (o getValuesAtTimeOp) String() string { return fmt.Sprintf("getValuesAtTimeOp at %s", o.time) } func (g getValuesAtTimeOp) StartsAt() time.Time { return g.time } func (g *getValuesAtTimeOp) ExtractSamples(in model.Values) (out model.Values) { if len(in) == 0 { return } out = extractValuesAroundTime(g.time, in) g.consumed = true return } func (g getValuesAtTimeOp) GreedierThan(op op) (superior bool) { switch op.(type) { case *getValuesAtTimeOp: superior = true case durationOperator: superior = false default: panic("unknown operation") } return } // extractValuesAroundTime searches for the provided time in the list of // available samples and emits a slice containing the data points that // are adjacent to it. // // An assumption of this is that the provided samples are already sorted! func extractValuesAroundTime(t time.Time, in model.Values) (out model.Values) { i := sort.Search(len(in), func(i int) bool { return !in[i].Timestamp.Before(t) }) if i == len(in) { // Target time is past the end, return only the last sample. out = in[len(in)-1:] } else { if in[i].Timestamp.Equal(t) && len(in) > i+1 { // We hit exactly the current sample time. Very unlikely in practice. // Return only the current sample. out = append(out, in[i]) } else { if i == 0 { // We hit before the first sample time. Return only the first sample. out = append(out, in[0:1]...) } else { // We hit between two samples. Return both surrounding samples. out = append(out, in[i-1:i+1]...) } } } return } func (g getValuesAtTimeOp) CurrentTime() (currentTime *time.Time) { if !g.consumed { currentTime = &g.time } return } // Encapsulates getting values at a given interval over a duration. type getValuesAtIntervalOp struct { from time.Time through time.Time interval time.Duration } func (o getValuesAtIntervalOp) String() string { return fmt.Sprintf("getValuesAtIntervalOp from %s each %s through %s", o.from, o.interval, o.through) } func (g getValuesAtIntervalOp) StartsAt() time.Time { return g.from } func (g getValuesAtIntervalOp) Through() time.Time { return g.through } func (g *getValuesAtIntervalOp) ExtractSamples(in model.Values) (out model.Values) { if len(in) == 0 { return } lastChunkTime := in[len(in)-1].Timestamp for len(in) > 0 { out = append(out, extractValuesAroundTime(g.from, in)...) lastExtractedTime := out[len(out)-1].Timestamp in = in.TruncateBefore(lastExtractedTime.Add(1)) g.from = g.from.Add(g.interval) if lastExtractedTime.Equal(lastChunkTime) { break } for !g.from.After(lastExtractedTime) { g.from = g.from.Add(g.interval) } if g.from.After(g.through) { break } } return } func (g getValuesAtIntervalOp) CurrentTime() (currentTime *time.Time) { if g.from.After(g.through) { return } return &g.from } func (g getValuesAtIntervalOp) GreedierThan(op op) (superior bool) { switch o := op.(type) { case *getValuesAtTimeOp: superior = true case durationOperator: superior = g.Through().After(o.Through()) default: panic("unknown operation") } return } type getValuesAlongRangeOp struct { from time.Time through time.Time } func (o getValuesAlongRangeOp) String() string { return fmt.Sprintf("getValuesAlongRangeOp from %s through %s", o.from, o.through) } func (g getValuesAlongRangeOp) StartsAt() time.Time { return g.from } func (g getValuesAlongRangeOp) Through() time.Time { return g.through } func (g *getValuesAlongRangeOp) ExtractSamples(in model.Values) (out model.Values) { if len(in) == 0 { return } // Find the first sample where time >= g.from. firstIdx := sort.Search(len(in), func(i int) bool { return !in[i].Timestamp.Before(g.from) }) if firstIdx == len(in) { // No samples at or after operator start time. This can only happen if we // try applying the operator to a time after the last recorded sample. In // this case, we're finished. g.from = g.through.Add(1) return } // Find the first sample where time > g.through. lastIdx := sort.Search(len(in), func(i int) bool { return in[i].Timestamp.After(g.through) }) if lastIdx == firstIdx { g.from = g.through.Add(1) return } lastSampleTime := in[lastIdx-1].Timestamp // Sample times are stored with a maximum time resolution of one second, so // we have to add exactly that to target the next chunk on the next op // iteration. g.from = lastSampleTime.Add(time.Second) return in[firstIdx:lastIdx] } func (g getValuesAlongRangeOp) CurrentTime() (currentTime *time.Time) { if g.from.After(g.through) { return } return &g.from } func (g getValuesAlongRangeOp) GreedierThan(op op) (superior bool) { switch o := op.(type) { case *getValuesAtTimeOp: superior = true case durationOperator: superior = g.Through().After(o.Through()) default: panic("unknown operation") } return } // Provides a collection of getMetricRangeOperation. type getMetricRangeOperations []*getValuesAlongRangeOp func (s getMetricRangeOperations) Len() int { return len(s) } func (s getMetricRangeOperations) Swap(i, j int) { s[i], s[j] = s[j], s[i] } // Sorts getMetricRangeOperation according to duration in descending order. type rangeDurationSorter struct { getMetricRangeOperations } func (s rangeDurationSorter) Less(i, j int) bool { l := s.getMetricRangeOperations[i] r := s.getMetricRangeOperations[j] return !l.through.Before(r.through) } // Encapsulates a general operation that occurs over a duration. type durationOperator interface { op Through() time.Time } // greedinessSort sorts the operations in descending order by level of // greediness. type greedinessSort struct { ops } func (g greedinessSort) Less(i, j int) bool { return g.ops[i].GreedierThan(g.ops[j]) } // Contains getValuesAtIntervalOp operations. type getValuesAtIntervalOps []*getValuesAtIntervalOp func (s getValuesAtIntervalOps) Len() int { return len(s) } func (s getValuesAtIntervalOps) Swap(i, j int) { s[i], s[j] = s[j], s[i] } // Sorts durationOperator by the operation's duration in descending order. type intervalDurationSorter struct { getValuesAtIntervalOps } func (s intervalDurationSorter) Less(i, j int) bool { l := s.getValuesAtIntervalOps[i] r := s.getValuesAtIntervalOps[j] return !l.through.Before(r.through) } // Sorts getValuesAtIntervalOp operations in ascending order by their // frequency. type frequencySorter struct { getValuesAtIntervalOps } func (s frequencySorter) Less(i, j int) bool { l := s.getValuesAtIntervalOps[i] r := s.getValuesAtIntervalOps[j] return l.interval < r.interval } // Selects and returns all operations that are getValuesAtIntervalOp operations // in a map whereby the operation interval is the key and the value are the // operations sorted by respective level of greediness. func collectIntervals(o ops) (intervals map[time.Duration]ops) { intervals = make(map[time.Duration]ops) for _, operation := range o { switch t := operation.(type) { case *getValuesAtIntervalOp: operations, _ := intervals[t.interval] operations = append(operations, t) intervals[t.interval] = operations } } return } // Selects and returns all operations that are getValuesAlongRangeOp operations. func collectRanges(ops ops) (ranges ops) { for _, operation := range ops { switch t := operation.(type) { case *getValuesAlongRangeOp: ranges = append(ranges, t) } } return } // optimizeForward iteratively scans operations and peeks ahead to subsequent // ones to find candidates that can either be removed or truncated through // simplification. For instance, if a range query happens to overlap a get-a- // value-at-a-certain-point-request, the range query should flatten and subsume // the other. func optimizeForward(pending ops) (out ops) { if len(pending) == 0 { return } var ( head op = pending[0] tail ops ) pending = pending[1:] switch t := head.(type) { case *getValuesAtTimeOp: out = ops{head} case *getValuesAtIntervalOp: // If the last value was a scan at a given frequency along an interval, // several optimizations may exist. for _, peekOperation := range pending { if peekOperation.StartsAt().After(t.Through()) { break } // If the type is not a range request, we can't do anything. switch next := peekOperation.(type) { case *getValuesAlongRangeOp: if !next.GreedierThan(t) { var ( before = getValuesAtIntervalOp(*t) after = getValuesAtIntervalOp(*t) ) before.through = next.from // Truncate the get value at interval request if a range request cuts // it off somewhere. var ( from = next.from ) for !from.After(next.through) { from = from.Add(t.interval) } after.from = from pending = append(ops{&before, &after}, pending...) sort.Sort(startsAtSort{pending}) return optimizeForward(pending) } } } case *getValuesAlongRangeOp: for _, peekOperation := range pending { if peekOperation.StartsAt().After(t.Through()) { break } switch next := peekOperation.(type) { // All values at a specific time may be elided into the range query. case *getValuesAtTimeOp: pending = pending[1:] continue case *getValuesAlongRangeOp: // Range queries should be concatenated if they overlap. if next.GreedierThan(t) { next.from = t.from return optimizeForward(pending) } else { pending = pending[1:] } case *getValuesAtIntervalOp: pending = pending[1:] if next.GreedierThan(t) { var ( nextStart = next.from ) for !nextStart.After(next.through) { nextStart = nextStart.Add(next.interval) } next.from = nextStart tail = append(ops{next}, pending...) } default: panic("unknown operation type") } } default: panic("unknown operation type") } // Strictly needed? sort.Sort(startsAtSort{pending}) tail = optimizeForward(pending) return append(ops{head}, tail...) } // selectQueriesForTime chooses all subsequent operations from the slice that // have the same start time as the provided time and emits them. func selectQueriesForTime(time time.Time, queries ops) (out ops) { if len(queries) == 0 { return } if !queries[0].StartsAt().Equal(time) { return } out = append(out, queries[0]) tail := selectQueriesForTime(time, queries[1:]) return append(out, tail...) } // selectGreediestRange scans through the various getValuesAlongRangeOp // operations and emits the one that is the greediest. func selectGreediestRange(in ops) (o durationOperator) { if len(in) == 0 { return } sort.Sort(greedinessSort{in}) o = in[0].(*getValuesAlongRangeOp) return } // selectGreediestIntervals scans through the various getValuesAtIntervalOp // operations and emits a map of the greediest operation keyed by its start // time. func selectGreediestIntervals(in map[time.Duration]ops) (out map[time.Duration]durationOperator) { if len(in) == 0 { return } out = make(map[time.Duration]durationOperator) for i, ops := range in { sort.Sort(greedinessSort{ops}) out[i] = ops[0].(*getValuesAtIntervalOp) } return } // rewriteForGreediestRange rewrites the current pending operation such that the // greediest range operation takes precedence over all other operators in this // time group. // // Between two range operations O1 and O2, they both start at the same time; // however, O2 extends for a longer duration than O1. Thusly, O1 should be // deleted with O2. // // O1------>| // T1 T4 // // O2------------>| // T1 T7 // // Thusly O1 can be squashed into O2 without having side-effects. func rewriteForGreediestRange(greediestRange durationOperator) ops { return ops{greediestRange} } // rewriteForGreediestInterval rewrites teh current pending interval operations // such that the interval operation with the smallest collection period is // invoked first, for it will skip around the soonest of any of the remaining // other operators. // // Between two interval operations O1 and O2, they both start at the same time; // however, O2's period is shorter than O1, meaning it will sample far more // frequently from the underlying time series. Thusly, O2 should start before // O1. // // O1---->|---->| // T1 T5 // // O2->|->|->|->| // T1 T5 // // The rewriter presently does not scan and compact for common divisors in the // periods, though this may be nice to have. For instance, if O1 has a period // of 2 and O2 has a period of 4, O2 would be dropped for O1 would implicitly // cover its period. func rewriteForGreediestInterval(greediestIntervals map[time.Duration]durationOperator) ops { var ( memo getValuesAtIntervalOps out ops ) for _, o := range greediestIntervals { memo = append(memo, o.(*getValuesAtIntervalOp)) } sort.Sort(frequencySorter{memo}) for _, o := range memo { out = append(out, o) } return out } // rewriteForRangeAndInterval examines the existence of a range operation and a // set of interval operations that start at the same time and deletes all // interval operations that start and finish before the range operation // completes and rewrites all interval operations that continue longer than // the range operation to start at the next best increment after the range. // // Assume that we have a range operator O1 and two interval operations O2 and // O3. O2 and O3 have the same period (i.e., sampling interval), but O2 // terminates before O1 and O3 continue beyond O1. // // O1------------>| // T1------------T7 // // O2-->|-->|-->| // T1----------T6 // // O3-->|-->|-->|-->|-->| // T1------------------T10 // // This scenario will be rewritten such that O2 is deleted and O3 is truncated // from T1 through T7, and O3's new starting time is at T7 and runs through T10: // // O1------------>| // T1------------T7 // // O2>|-->| // T7---T10 // // All rewritten interval operators will respect their original start time // multipliers. func rewriteForRangeAndInterval(greediestRange durationOperator, greediestIntervals map[time.Duration]durationOperator) (out ops) { out = append(out, greediestRange) for _, op := range greediestIntervals { if !op.GreedierThan(greediestRange) { continue } // The range operation does not exceed interval. Leave a snippet of // interval. var ( truncated = op.(*getValuesAtIntervalOp) newIntervalOperation getValuesAtIntervalOp // Refactor remainingSlice = greediestRange.Through().Sub(greediestRange.StartsAt()) / time.Second nextIntervalPoint = time.Duration(math.Ceil(float64(remainingSlice)/float64(truncated.interval)) * float64(truncated.interval/time.Second)) nextStart = greediestRange.Through().Add(nextIntervalPoint) ) newIntervalOperation.from = nextStart newIntervalOperation.interval = truncated.interval newIntervalOperation.through = truncated.Through() // Added back to the pending because additional curation could be // necessary. out = append(out, &newIntervalOperation) } return } // Flattens queries that occur at the same time according to duration and level // of greed. Consult the various rewriter functions for their respective modes // of operation. func optimizeTimeGroup(group ops) (out ops) { var ( greediestRange = selectGreediestRange(collectRanges(group)) greediestIntervals = selectGreediestIntervals(collectIntervals(group)) containsRange = greediestRange != nil containsInterval = len(greediestIntervals) > 0 ) switch { case containsRange && !containsInterval: out = rewriteForGreediestRange(greediestRange) case !containsRange && containsInterval: out = rewriteForGreediestInterval(greediestIntervals) case containsRange && containsInterval: out = rewriteForRangeAndInterval(greediestRange, greediestIntervals) default: // Operation is OK as-is. out = append(out, group[0]) } return } // Flattens all groups of time according to greed. func optimizeTimeGroups(pending ops) (out ops) { if len(pending) == 0 { return } sort.Sort(startsAtSort{pending}) var ( nextOperation = pending[0] groupedQueries = selectQueriesForTime(nextOperation.StartsAt(), pending) ) out = optimizeTimeGroup(groupedQueries) pending = pending[len(groupedQueries):] tail := optimizeTimeGroups(pending) return append(out, tail...) } func optimize(pending ops) (out ops) { return optimizeForward(optimizeTimeGroups(pending)) }