// 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 promql import ( "encoding/json" "fmt" "strconv" "strings" "github.com/pkg/errors" "github.com/prometheus/prometheus/model/histogram" "github.com/prometheus/prometheus/model/labels" "github.com/prometheus/prometheus/promql/parser" "github.com/prometheus/prometheus/storage" "github.com/prometheus/prometheus/tsdb/chunkenc" ) func (Matrix) Type() parser.ValueType { return parser.ValueTypeMatrix } func (Vector) Type() parser.ValueType { return parser.ValueTypeVector } func (Scalar) Type() parser.ValueType { return parser.ValueTypeScalar } func (String) Type() parser.ValueType { return parser.ValueTypeString } // String represents a string value. type String struct { T int64 V string } func (s String) String() string { return s.V } func (s String) MarshalJSON() ([]byte, error) { return json.Marshal([...]interface{}{float64(s.T) / 1000, s.V}) } // Scalar is a data point that's explicitly not associated with a metric. type Scalar struct { T int64 V float64 } func (s Scalar) String() string { v := strconv.FormatFloat(s.V, 'f', -1, 64) return fmt.Sprintf("scalar: %v @[%v]", v, s.T) } func (s Scalar) MarshalJSON() ([]byte, error) { v := strconv.FormatFloat(s.V, 'f', -1, 64) return json.Marshal([...]interface{}{float64(s.T) / 1000, v}) } // Series is a stream of data points belonging to a metric. type Series struct { Metric labels.Labels Points []Point } func (s Series) String() string { vals := make([]string, len(s.Points)) for i, v := range s.Points { vals[i] = v.String() } return fmt.Sprintf("%s =>\n%s", s.Metric, strings.Join(vals, "\n")) } // MarshalJSON is mirrored in web/api/v1/api.go for efficiency reasons. // This implementation is still provided for debug purposes and usage // without jsoniter. func (s Series) MarshalJSON() ([]byte, error) { // Note that this is rather inefficient because it re-creates the whole // series, just separated by Histogram Points and Value Points. For API // purposes, there is a more efficcient jsoniter implementation in // web/api/v1/api.go. series := struct { M labels.Labels `json:"metric"` V []Point `json:"values,omitempty"` H []Point `json:"histograms,omitempty"` }{ M: s.Metric, } for _, p := range s.Points { if p.H == nil { series.V = append(series.V, p) continue } series.H = append(series.H, p) } return json.Marshal(series) } // Point represents a single data point for a given timestamp. // If H is not nil, then this is a histogram point and only (T, H) is valid. // If H is nil, then only (T, V) is valid. type Point struct { T int64 V float64 H *histogram.FloatHistogram } func (p Point) String() string { var s string if p.H != nil { s = p.H.String() } else { s = strconv.FormatFloat(p.V, 'f', -1, 64) } return fmt.Sprintf("%s @[%v]", s, p.T) } // MarshalJSON implements json.Marshaler. // // JSON marshaling is only needed for the HTTP API. Since Point is such a // frequently marshaled type, it gets an optimized treatment directly in // web/api/v1/api.go. Therefore, this method is unused within Prometheus. It is // still provided here as convenience for debugging and for other users of this // code. Also note that the different marshaling implementations might lead to // slightly different results in terms of formatting and rounding of the // timestamp. func (p Point) MarshalJSON() ([]byte, error) { if p.H == nil { v := strconv.FormatFloat(p.V, 'f', -1, 64) return json.Marshal([...]interface{}{float64(p.T) / 1000, v}) } h := struct { Count string `json:"count"` Sum string `json:"sum"` Buckets [][]interface{} `json:"buckets,omitempty"` }{ Count: strconv.FormatFloat(p.H.Count, 'f', -1, 64), Sum: strconv.FormatFloat(p.H.Sum, 'f', -1, 64), } it := p.H.AllBucketIterator() for it.Next() { bucket := it.At() if bucket.Count == 0 { continue // No need to expose empty buckets in JSON. } boundaries := 2 // Exclusive on both sides AKA open interval. if bucket.LowerInclusive { if bucket.UpperInclusive { boundaries = 3 // Inclusive on both sides AKA closed interval. } else { boundaries = 1 // Inclusive only on lower end AKA right open. } } else { if bucket.UpperInclusive { boundaries = 0 // Inclusive only on upper end AKA left open. } } bucketToMarshal := []interface{}{ boundaries, strconv.FormatFloat(bucket.Lower, 'f', -1, 64), strconv.FormatFloat(bucket.Upper, 'f', -1, 64), strconv.FormatFloat(bucket.Count, 'f', -1, 64), } h.Buckets = append(h.Buckets, bucketToMarshal) } return json.Marshal([...]interface{}{float64(p.T) / 1000, h}) } // Sample is a single sample belonging to a metric. type Sample struct { Point Metric labels.Labels } func (s Sample) String() string { return fmt.Sprintf("%s => %s", s.Metric, s.Point) } // MarshalJSON is mirrored in web/api/v1/api.go with jsoniter because Point // wouldn't be marshaled with jsoniter in all cases otherwise. func (s Sample) MarshalJSON() ([]byte, error) { if s.Point.H == nil { v := struct { M labels.Labels `json:"metric"` V Point `json:"value"` }{ M: s.Metric, V: s.Point, } return json.Marshal(v) } h := struct { M labels.Labels `json:"metric"` H Point `json:"histogram"` }{ M: s.Metric, H: s.Point, } return json.Marshal(h) } // Vector is basically only an alias for model.Samples, but the // contract is that in a Vector, all Samples have the same timestamp. type Vector []Sample func (vec Vector) String() string { entries := make([]string, len(vec)) for i, s := range vec { entries[i] = s.String() } return strings.Join(entries, "\n") } // ContainsSameLabelset checks if a vector has samples with the same labelset // Such a behavior is semantically undefined // https://github.com/prometheus/prometheus/issues/4562 func (vec Vector) ContainsSameLabelset() bool { l := make(map[uint64]struct{}, len(vec)) for _, s := range vec { hash := s.Metric.Hash() if _, ok := l[hash]; ok { return true } l[hash] = struct{}{} } return false } // Matrix is a slice of Series that implements sort.Interface and // has a String method. type Matrix []Series func (m Matrix) String() string { // TODO(fabxc): sort, or can we rely on order from the querier? strs := make([]string, len(m)) for i, ss := range m { strs[i] = ss.String() } return strings.Join(strs, "\n") } // TotalSamples returns the total number of samples in the series within a matrix. func (m Matrix) TotalSamples() int { numSamples := 0 for _, series := range m { numSamples += len(series.Points) } return numSamples } func (m Matrix) Len() int { return len(m) } func (m Matrix) Less(i, j int) bool { return labels.Compare(m[i].Metric, m[j].Metric) < 0 } func (m Matrix) Swap(i, j int) { m[i], m[j] = m[j], m[i] } // ContainsSameLabelset checks if a matrix has samples with the same labelset. // Such a behavior is semantically undefined. // https://github.com/prometheus/prometheus/issues/4562 func (m Matrix) ContainsSameLabelset() bool { l := make(map[uint64]struct{}, len(m)) for _, ss := range m { hash := ss.Metric.Hash() if _, ok := l[hash]; ok { return true } l[hash] = struct{}{} } return false } // Result holds the resulting value of an execution or an error // if any occurred. type Result struct { Err error Value parser.Value Warnings storage.Warnings } // Vector returns a Vector if the result value is one. An error is returned if // the result was an error or the result value is not a Vector. func (r *Result) Vector() (Vector, error) { if r.Err != nil { return nil, r.Err } v, ok := r.Value.(Vector) if !ok { return nil, errors.New("query result is not a Vector") } return v, nil } // Matrix returns a Matrix. An error is returned if // the result was an error or the result value is not a Matrix. func (r *Result) Matrix() (Matrix, error) { if r.Err != nil { return nil, r.Err } v, ok := r.Value.(Matrix) if !ok { return nil, errors.New("query result is not a range Vector") } return v, nil } // Scalar returns a Scalar value. An error is returned if // the result was an error or the result value is not a Scalar. func (r *Result) Scalar() (Scalar, error) { if r.Err != nil { return Scalar{}, r.Err } v, ok := r.Value.(Scalar) if !ok { return Scalar{}, errors.New("query result is not a Scalar") } return v, nil } func (r *Result) String() string { if r.Err != nil { return r.Err.Error() } if r.Value == nil { return "" } return r.Value.String() } // StorageSeries simulates promql.Series as storage.Series. type StorageSeries struct { series Series } // NewStorageSeries returns a StorageSeries from a Series. func NewStorageSeries(series Series) *StorageSeries { return &StorageSeries{ series: series, } } func (ss *StorageSeries) Labels() labels.Labels { return ss.series.Metric } // Iterator returns a new iterator of the data of the series. func (ss *StorageSeries) Iterator() chunkenc.Iterator { return newStorageSeriesIterator(ss.series) } type storageSeriesIterator struct { points []Point curr int } func newStorageSeriesIterator(series Series) *storageSeriesIterator { return &storageSeriesIterator{ points: series.Points, curr: -1, } } func (ssi *storageSeriesIterator) Seek(t int64) chunkenc.ValueType { i := ssi.curr if i < 0 { i = 0 } for ; i < len(ssi.points); i++ { p := ssi.points[i] if p.T >= t { ssi.curr = i if p.H != nil { return chunkenc.ValFloatHistogram } return chunkenc.ValFloat } } ssi.curr = len(ssi.points) - 1 return chunkenc.ValNone } func (ssi *storageSeriesIterator) At() (t int64, v float64) { p := ssi.points[ssi.curr] return p.T, p.V } func (ssi *storageSeriesIterator) AtHistogram() (int64, *histogram.Histogram) { panic(errors.New("storageSeriesIterator: AtHistogram not supported")) } func (ssi *storageSeriesIterator) AtFloatHistogram() (int64, *histogram.FloatHistogram) { p := ssi.points[ssi.curr] return p.T, p.H } func (ssi *storageSeriesIterator) AtT() int64 { p := ssi.points[ssi.curr] return p.T } func (ssi *storageSeriesIterator) Next() chunkenc.ValueType { ssi.curr++ if ssi.curr >= len(ssi.points) { return chunkenc.ValNone } p := ssi.points[ssi.curr] if p.H != nil { return chunkenc.ValFloatHistogram } return chunkenc.ValFloat } func (ssi *storageSeriesIterator) Err() error { return nil }