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421 lines
11 KiB
421 lines
11 KiB
// Copyright 2017 The Prometheus Authors
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package promql
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import (
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"encoding/json"
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"errors"
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"fmt"
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"strconv"
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"strings"
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"github.com/prometheus/prometheus/model/histogram"
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"github.com/prometheus/prometheus/model/labels"
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"github.com/prometheus/prometheus/promql/parser"
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"github.com/prometheus/prometheus/storage"
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"github.com/prometheus/prometheus/tsdb/chunkenc"
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)
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func (Matrix) Type() parser.ValueType { return parser.ValueTypeMatrix }
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func (Vector) Type() parser.ValueType { return parser.ValueTypeVector }
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func (Scalar) Type() parser.ValueType { return parser.ValueTypeScalar }
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func (String) Type() parser.ValueType { return parser.ValueTypeString }
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// String represents a string value.
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type String struct {
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T int64
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V string
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}
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func (s String) String() string {
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return s.V
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}
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func (s String) MarshalJSON() ([]byte, error) {
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return json.Marshal([...]interface{}{float64(s.T) / 1000, s.V})
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}
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// Scalar is a data point that's explicitly not associated with a metric.
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type Scalar struct {
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T int64
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V float64
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}
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func (s Scalar) String() string {
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v := strconv.FormatFloat(s.V, 'f', -1, 64)
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return fmt.Sprintf("scalar: %v @[%v]", v, s.T)
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}
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func (s Scalar) MarshalJSON() ([]byte, error) {
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v := strconv.FormatFloat(s.V, 'f', -1, 64)
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return json.Marshal([...]interface{}{float64(s.T) / 1000, v})
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}
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// Series is a stream of data points belonging to a metric.
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type Series struct {
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Metric labels.Labels
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Points []Point
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}
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func (s Series) String() string {
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vals := make([]string, len(s.Points))
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for i, v := range s.Points {
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vals[i] = v.String()
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}
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return fmt.Sprintf("%s =>\n%s", s.Metric, strings.Join(vals, "\n"))
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}
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// MarshalJSON is mirrored in web/api/v1/api.go for efficiency reasons.
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// This implementation is still provided for debug purposes and usage
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// without jsoniter.
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func (s Series) MarshalJSON() ([]byte, error) {
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// Note that this is rather inefficient because it re-creates the whole
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// series, just separated by Histogram Points and Value Points. For API
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// purposes, there is a more efficcient jsoniter implementation in
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// web/api/v1/api.go.
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series := struct {
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M labels.Labels `json:"metric"`
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V []Point `json:"values,omitempty"`
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H []Point `json:"histograms,omitempty"`
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}{
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M: s.Metric,
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}
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for _, p := range s.Points {
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if p.H == nil {
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series.V = append(series.V, p)
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continue
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}
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series.H = append(series.H, p)
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}
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return json.Marshal(series)
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}
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// Point represents a single data point for a given timestamp.
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// If H is not nil, then this is a histogram point and only (T, H) is valid.
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// If H is nil, then only (T, V) is valid.
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type Point struct {
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T int64
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V float64
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H *histogram.FloatHistogram
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}
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func (p Point) String() string {
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var s string
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if p.H != nil {
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s = p.H.String()
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} else {
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s = strconv.FormatFloat(p.V, 'f', -1, 64)
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}
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return fmt.Sprintf("%s @[%v]", s, p.T)
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}
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// MarshalJSON implements json.Marshaler.
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//
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// JSON marshaling is only needed for the HTTP API. Since Point is such a
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// frequently marshaled type, it gets an optimized treatment directly in
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// web/api/v1/api.go. Therefore, this method is unused within Prometheus. It is
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// still provided here as convenience for debugging and for other users of this
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// code. Also note that the different marshaling implementations might lead to
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// slightly different results in terms of formatting and rounding of the
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// timestamp.
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func (p Point) MarshalJSON() ([]byte, error) {
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if p.H == nil {
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v := strconv.FormatFloat(p.V, 'f', -1, 64)
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return json.Marshal([...]interface{}{float64(p.T) / 1000, v})
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}
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h := struct {
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Count string `json:"count"`
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Sum string `json:"sum"`
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Buckets [][]interface{} `json:"buckets,omitempty"`
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}{
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Count: strconv.FormatFloat(p.H.Count, 'f', -1, 64),
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Sum: strconv.FormatFloat(p.H.Sum, 'f', -1, 64),
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}
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it := p.H.AllBucketIterator()
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for it.Next() {
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bucket := it.At()
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if bucket.Count == 0 {
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continue // No need to expose empty buckets in JSON.
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}
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boundaries := 2 // Exclusive on both sides AKA open interval.
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if bucket.LowerInclusive {
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if bucket.UpperInclusive {
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boundaries = 3 // Inclusive on both sides AKA closed interval.
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} else {
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boundaries = 1 // Inclusive only on lower end AKA right open.
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}
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} else {
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if bucket.UpperInclusive {
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boundaries = 0 // Inclusive only on upper end AKA left open.
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}
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}
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bucketToMarshal := []interface{}{
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boundaries,
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strconv.FormatFloat(bucket.Lower, 'f', -1, 64),
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strconv.FormatFloat(bucket.Upper, 'f', -1, 64),
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strconv.FormatFloat(bucket.Count, 'f', -1, 64),
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}
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h.Buckets = append(h.Buckets, bucketToMarshal)
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}
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return json.Marshal([...]interface{}{float64(p.T) / 1000, h})
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}
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// Sample is a single sample belonging to a metric.
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type Sample struct {
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Point
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Metric labels.Labels
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}
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func (s Sample) String() string {
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return fmt.Sprintf("%s => %s", s.Metric, s.Point)
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}
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// MarshalJSON is mirrored in web/api/v1/api.go with jsoniter because Point
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// wouldn't be marshaled with jsoniter in all cases otherwise.
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func (s Sample) MarshalJSON() ([]byte, error) {
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if s.Point.H == nil {
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v := struct {
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M labels.Labels `json:"metric"`
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V Point `json:"value"`
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}{
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M: s.Metric,
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V: s.Point,
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}
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return json.Marshal(v)
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}
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h := struct {
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M labels.Labels `json:"metric"`
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H Point `json:"histogram"`
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}{
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M: s.Metric,
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H: s.Point,
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}
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return json.Marshal(h)
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}
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// Vector is basically only an alias for model.Samples, but the
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// contract is that in a Vector, all Samples have the same timestamp.
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type Vector []Sample
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func (vec Vector) String() string {
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entries := make([]string, len(vec))
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for i, s := range vec {
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entries[i] = s.String()
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}
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return strings.Join(entries, "\n")
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}
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// ContainsSameLabelset checks if a vector has samples with the same labelset
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// Such a behavior is semantically undefined
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// https://github.com/prometheus/prometheus/issues/4562
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func (vec Vector) ContainsSameLabelset() bool {
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l := make(map[uint64]struct{}, len(vec))
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for _, s := range vec {
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hash := s.Metric.Hash()
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if _, ok := l[hash]; ok {
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return true
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}
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l[hash] = struct{}{}
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}
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return false
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}
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// Matrix is a slice of Series that implements sort.Interface and
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// has a String method.
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type Matrix []Series
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func (m Matrix) String() string {
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// TODO(fabxc): sort, or can we rely on order from the querier?
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strs := make([]string, len(m))
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for i, ss := range m {
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strs[i] = ss.String()
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}
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return strings.Join(strs, "\n")
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}
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// TotalSamples returns the total number of samples in the series within a matrix.
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func (m Matrix) TotalSamples() int {
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numSamples := 0
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for _, series := range m {
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numSamples += len(series.Points)
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}
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return numSamples
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}
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func (m Matrix) Len() int { return len(m) }
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func (m Matrix) Less(i, j int) bool { return labels.Compare(m[i].Metric, m[j].Metric) < 0 }
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func (m Matrix) Swap(i, j int) { m[i], m[j] = m[j], m[i] }
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// ContainsSameLabelset checks if a matrix has samples with the same labelset.
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// Such a behavior is semantically undefined.
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// https://github.com/prometheus/prometheus/issues/4562
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func (m Matrix) ContainsSameLabelset() bool {
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l := make(map[uint64]struct{}, len(m))
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for _, ss := range m {
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hash := ss.Metric.Hash()
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if _, ok := l[hash]; ok {
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return true
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}
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l[hash] = struct{}{}
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}
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return false
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}
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// Result holds the resulting value of an execution or an error
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// if any occurred.
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type Result struct {
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Err error
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Value parser.Value
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Warnings storage.Warnings
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}
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// Vector returns a Vector if the result value is one. An error is returned if
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// the result was an error or the result value is not a Vector.
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func (r *Result) Vector() (Vector, error) {
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if r.Err != nil {
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return nil, r.Err
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}
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v, ok := r.Value.(Vector)
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if !ok {
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return nil, errors.New("query result is not a Vector")
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}
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return v, nil
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}
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// Matrix returns a Matrix. An error is returned if
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// the result was an error or the result value is not a Matrix.
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func (r *Result) Matrix() (Matrix, error) {
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if r.Err != nil {
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return nil, r.Err
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}
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v, ok := r.Value.(Matrix)
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if !ok {
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return nil, errors.New("query result is not a range Vector")
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}
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return v, nil
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}
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// Scalar returns a Scalar value. An error is returned if
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// the result was an error or the result value is not a Scalar.
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func (r *Result) Scalar() (Scalar, error) {
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if r.Err != nil {
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return Scalar{}, r.Err
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}
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v, ok := r.Value.(Scalar)
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if !ok {
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return Scalar{}, errors.New("query result is not a Scalar")
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}
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return v, nil
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}
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func (r *Result) String() string {
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if r.Err != nil {
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return r.Err.Error()
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}
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if r.Value == nil {
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return ""
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}
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return r.Value.String()
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}
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// StorageSeries simulates promql.Series as storage.Series.
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type StorageSeries struct {
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series Series
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}
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// NewStorageSeries returns a StorageSeries from a Series.
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func NewStorageSeries(series Series) *StorageSeries {
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return &StorageSeries{
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series: series,
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}
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}
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func (ss *StorageSeries) Labels() labels.Labels {
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return ss.series.Metric
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}
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// Iterator returns a new iterator of the data of the series.
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func (ss *StorageSeries) Iterator() chunkenc.Iterator {
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return newStorageSeriesIterator(ss.series)
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}
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type storageSeriesIterator struct {
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points []Point
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curr int
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}
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func newStorageSeriesIterator(series Series) *storageSeriesIterator {
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return &storageSeriesIterator{
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points: series.Points,
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curr: -1,
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}
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}
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func (ssi *storageSeriesIterator) Seek(t int64) chunkenc.ValueType {
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i := ssi.curr
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if i < 0 {
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i = 0
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}
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for ; i < len(ssi.points); i++ {
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p := ssi.points[i]
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if p.T >= t {
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ssi.curr = i
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if p.H != nil {
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return chunkenc.ValFloatHistogram
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}
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return chunkenc.ValFloat
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}
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}
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ssi.curr = len(ssi.points) - 1
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return chunkenc.ValNone
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}
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func (ssi *storageSeriesIterator) At() (t int64, v float64) {
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p := ssi.points[ssi.curr]
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return p.T, p.V
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}
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func (ssi *storageSeriesIterator) AtHistogram() (int64, *histogram.Histogram) {
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panic(errors.New("storageSeriesIterator: AtHistogram not supported"))
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}
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func (ssi *storageSeriesIterator) AtFloatHistogram() (int64, *histogram.FloatHistogram) {
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p := ssi.points[ssi.curr]
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return p.T, p.H
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}
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func (ssi *storageSeriesIterator) AtT() int64 {
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p := ssi.points[ssi.curr]
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return p.T
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}
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func (ssi *storageSeriesIterator) Next() chunkenc.ValueType {
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ssi.curr++
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if ssi.curr >= len(ssi.points) {
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return chunkenc.ValNone
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}
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p := ssi.points[ssi.curr]
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if p.H != nil {
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return chunkenc.ValFloatHistogram
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}
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return chunkenc.ValFloat
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}
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func (ssi *storageSeriesIterator) Err() error {
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return nil
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}
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