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dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>grafanabotJennie Pham
2ff833f062 Bump go.opentelemetry.io/collector/processor from 0.89.0 to 0.94.1 (#3379)
* Bump go.opentelemetry.io/collector/processor from 0.89.0 to 0.94.1

Bumps [go.opentelemetry.io/collector/processor](https://github.com/open-telemetry/opentelemetry-collector) from 0.89.0 to 0.94.1.
- [Release notes](https://github.com/open-telemetry/opentelemetry-collector/releases)
- [Changelog](https://github.com/open-telemetry/opentelemetry-collector/blob/main/CHANGELOG-API.md)
- [Commits](https://github.com/open-telemetry/opentelemetry-collector/compare/v0.89.0...v0.94.1)

---
updated-dependencies:
- dependency-name: go.opentelemetry.io/collector/processor
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <[email protected]>

* Update serverless gomod

* vendor update

* Update serverless gomod

* delete this file

* add it back

---------

Signed-off-by: dependabot[bot] <[email protected]>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: grafanabot <[email protected]>
Co-authored-by: Jennie Pham <[email protected]>
2024-02-27 11:01:23 -06:00

143 lines
4.3 KiB
Go

// Copyright 2014 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 model
import (
"sort"
)
// SeparatorByte is a byte that cannot occur in valid UTF-8 sequences and is
// used to separate label names, label values, and other strings from each other
// when calculating their combined hash value (aka signature aka fingerprint).
const SeparatorByte byte = 255
// cache the signature of an empty label set.
var emptyLabelSignature = hashNew()
// LabelsToSignature returns a quasi-unique signature (i.e., fingerprint) for a
// given label set. (Collisions are possible but unlikely if the number of label
// sets the function is applied to is small.)
func LabelsToSignature(labels map[string]string) uint64 {
if len(labels) == 0 {
return emptyLabelSignature
}
labelNames := make([]string, 0, len(labels))
for labelName := range labels {
labelNames = append(labelNames, labelName)
}
sort.Strings(labelNames)
sum := hashNew()
for _, labelName := range labelNames {
sum = hashAdd(sum, labelName)
sum = hashAddByte(sum, SeparatorByte)
sum = hashAdd(sum, labels[labelName])
sum = hashAddByte(sum, SeparatorByte)
}
return sum
}
// labelSetToFingerprint works exactly as LabelsToSignature but takes a LabelSet as
// parameter (rather than a label map) and returns a Fingerprint.
func labelSetToFingerprint(ls LabelSet) Fingerprint {
if len(ls) == 0 {
return Fingerprint(emptyLabelSignature)
}
labelNames := make(LabelNames, 0, len(ls))
for labelName := range ls {
labelNames = append(labelNames, labelName)
}
sort.Sort(labelNames)
sum := hashNew()
for _, labelName := range labelNames {
sum = hashAdd(sum, string(labelName))
sum = hashAddByte(sum, SeparatorByte)
sum = hashAdd(sum, string(ls[labelName]))
sum = hashAddByte(sum, SeparatorByte)
}
return Fingerprint(sum)
}
// labelSetToFastFingerprint works similar to labelSetToFingerprint but uses a
// faster and less allocation-heavy hash function, which is more susceptible to
// create hash collisions. Therefore, collision detection should be applied.
func labelSetToFastFingerprint(ls LabelSet) Fingerprint {
if len(ls) == 0 {
return Fingerprint(emptyLabelSignature)
}
var result uint64
for labelName, labelValue := range ls {
sum := hashNew()
sum = hashAdd(sum, string(labelName))
sum = hashAddByte(sum, SeparatorByte)
sum = hashAdd(sum, string(labelValue))
result ^= sum
}
return Fingerprint(result)
}
// SignatureForLabels works like LabelsToSignature but takes a Metric as
// parameter (rather than a label map) and only includes the labels with the
// specified LabelNames into the signature calculation. The labels passed in
// will be sorted by this function.
func SignatureForLabels(m Metric, labels ...LabelName) uint64 {
if len(labels) == 0 {
return emptyLabelSignature
}
sort.Sort(LabelNames(labels))
sum := hashNew()
for _, label := range labels {
sum = hashAdd(sum, string(label))
sum = hashAddByte(sum, SeparatorByte)
sum = hashAdd(sum, string(m[label]))
sum = hashAddByte(sum, SeparatorByte)
}
return sum
}
// SignatureWithoutLabels works like LabelsToSignature but takes a Metric as
// parameter (rather than a label map) and excludes the labels with any of the
// specified LabelNames from the signature calculation.
func SignatureWithoutLabels(m Metric, labels map[LabelName]struct{}) uint64 {
if len(m) == 0 {
return emptyLabelSignature
}
labelNames := make(LabelNames, 0, len(m))
for labelName := range m {
if _, exclude := labels[labelName]; !exclude {
labelNames = append(labelNames, labelName)
}
}
if len(labelNames) == 0 {
return emptyLabelSignature
}
sort.Sort(labelNames)
sum := hashNew()
for _, labelName := range labelNames {
sum = hashAdd(sum, string(labelName))
sum = hashAddByte(sum, SeparatorByte)
sum = hashAdd(sum, string(m[labelName]))
sum = hashAddByte(sum, SeparatorByte)
}
return sum
}