mirror of
https://github.com/octoleo/syncthing.git
synced 2024-11-10 15:20:56 +00:00
916ec63af6
This is a new revision of the discovery server. Relevant changes and non-changes: - Protocol towards clients is unchanged. - Recommended large scale design is still to be deployed nehind nginx (I tested, and it's still a lot faster at terminating TLS). - Database backend is leveldb again, only. It scales enough, is easy to setup, and we don't need any backend to take care of. - Server supports replication. This is a simple TCP channel - protect it with a firewall when deploying over the internet. (We deploy this within the same datacenter, and with firewall.) Any incoming client announces are sent over the replication channel(s) to other peer discosrvs. Incoming replication changes are applied to the database as if they came from clients, but without the TLS/certificate overhead. - Metrics are exposed using the prometheus library, when enabled. - The database values and replication protocol is protobuf, because JSON was quite CPU intensive when I tried that and benchmarked it. - The "Retry-After" value for failed lookups gets slowly increased from a default of 120 seconds, by 5 seconds for each failed lookup, independently by each discosrv. This lowers the query load over time for clients that are never seen. The Retry-After maxes out at 3600 after a couple of weeks of this increase. The number of failed lookups is stored in the database, now and then (avoiding making each lookup a database put). All in all this means clients can be pointed towards a cluster using just multiple A / AAAA records to gain both load sharing and redundancy (if one is down, clients will talk to the remaining ones). GitHub-Pull-Request: https://github.com/syncthing/syncthing/pull/4648
145 lines
4.3 KiB
Go
145 lines
4.3 KiB
Go
// Copyright 2014 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 model
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import (
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"sort"
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)
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// SeparatorByte is a byte that cannot occur in valid UTF-8 sequences and is
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// used to separate label names, label values, and other strings from each other
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// when calculating their combined hash value (aka signature aka fingerprint).
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const SeparatorByte byte = 255
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var (
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// cache the signature of an empty label set.
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emptyLabelSignature = hashNew()
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)
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// LabelsToSignature returns a quasi-unique signature (i.e., fingerprint) for a
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// given label set. (Collisions are possible but unlikely if the number of label
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// sets the function is applied to is small.)
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func LabelsToSignature(labels map[string]string) uint64 {
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if len(labels) == 0 {
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return emptyLabelSignature
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}
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labelNames := make([]string, 0, len(labels))
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for labelName := range labels {
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labelNames = append(labelNames, labelName)
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}
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sort.Strings(labelNames)
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sum := hashNew()
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for _, labelName := range labelNames {
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sum = hashAdd(sum, labelName)
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sum = hashAddByte(sum, SeparatorByte)
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sum = hashAdd(sum, labels[labelName])
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sum = hashAddByte(sum, SeparatorByte)
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}
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return sum
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}
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// labelSetToFingerprint works exactly as LabelsToSignature but takes a LabelSet as
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// parameter (rather than a label map) and returns a Fingerprint.
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func labelSetToFingerprint(ls LabelSet) Fingerprint {
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if len(ls) == 0 {
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return Fingerprint(emptyLabelSignature)
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}
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labelNames := make(LabelNames, 0, len(ls))
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for labelName := range ls {
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labelNames = append(labelNames, labelName)
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}
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sort.Sort(labelNames)
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sum := hashNew()
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for _, labelName := range labelNames {
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sum = hashAdd(sum, string(labelName))
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sum = hashAddByte(sum, SeparatorByte)
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sum = hashAdd(sum, string(ls[labelName]))
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sum = hashAddByte(sum, SeparatorByte)
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}
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return Fingerprint(sum)
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}
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// labelSetToFastFingerprint works similar to labelSetToFingerprint but uses a
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// faster and less allocation-heavy hash function, which is more susceptible to
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// create hash collisions. Therefore, collision detection should be applied.
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func labelSetToFastFingerprint(ls LabelSet) Fingerprint {
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if len(ls) == 0 {
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return Fingerprint(emptyLabelSignature)
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}
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var result uint64
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for labelName, labelValue := range ls {
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sum := hashNew()
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sum = hashAdd(sum, string(labelName))
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sum = hashAddByte(sum, SeparatorByte)
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sum = hashAdd(sum, string(labelValue))
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result ^= sum
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}
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return Fingerprint(result)
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}
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// SignatureForLabels works like LabelsToSignature but takes a Metric as
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// parameter (rather than a label map) and only includes the labels with the
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// specified LabelNames into the signature calculation. The labels passed in
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// will be sorted by this function.
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func SignatureForLabels(m Metric, labels ...LabelName) uint64 {
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if len(labels) == 0 {
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return emptyLabelSignature
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}
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sort.Sort(LabelNames(labels))
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sum := hashNew()
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for _, label := range labels {
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sum = hashAdd(sum, string(label))
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sum = hashAddByte(sum, SeparatorByte)
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sum = hashAdd(sum, string(m[label]))
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sum = hashAddByte(sum, SeparatorByte)
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}
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return sum
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}
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// SignatureWithoutLabels works like LabelsToSignature but takes a Metric as
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// parameter (rather than a label map) and excludes the labels with any of the
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// specified LabelNames from the signature calculation.
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func SignatureWithoutLabels(m Metric, labels map[LabelName]struct{}) uint64 {
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if len(m) == 0 {
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return emptyLabelSignature
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}
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labelNames := make(LabelNames, 0, len(m))
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for labelName := range m {
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if _, exclude := labels[labelName]; !exclude {
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labelNames = append(labelNames, labelName)
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}
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}
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if len(labelNames) == 0 {
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return emptyLabelSignature
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}
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sort.Sort(labelNames)
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sum := hashNew()
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for _, labelName := range labelNames {
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sum = hashAdd(sum, string(labelName))
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sum = hashAddByte(sum, SeparatorByte)
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sum = hashAdd(sum, string(m[labelName]))
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sum = hashAddByte(sum, SeparatorByte)
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}
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return sum
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}
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