prometheus/promql/value.go
2021-11-30 17:19:06 +01:00

349 lines
8.7 KiB
Go

// 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 `json:"metric"`
Points []Point `json:"values"`
}
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"))
}
// 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) {
// TODO(beorn7): Support histogram.
v := strconv.FormatFloat(p.V, 'f', -1, 64)
return json.Marshal([...]interface{}{float64(p.T) / 1000, v})
}
// 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)
}
func (s Sample) MarshalJSON() ([]byte, error) {
v := struct {
M labels.Labels `json:"metric"`
V Point `json:"value"`
}{
M: s.Metric,
V: s.Point,
}
return json.Marshal(v)
}
// 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
}