cmd/stdiscosrv: New discovery server (fixes #4618)
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
2018-01-14 08:52:31 +00:00
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// Copyright (C) 2018 The Syncthing Authors.
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//
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// This Source Code Form is subject to the terms of the Mozilla Public
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// License, v. 2.0. If a copy of the MPL was not distributed with this file,
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// You can obtain one at https://mozilla.org/MPL/2.0/.
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//go:generate go run ../../script/protofmt.go database.proto
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2018-12-18 11:36:38 +00:00
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//go:generate protoc -I ../../ -I . --gogofast_out=. database.proto
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cmd/stdiscosrv: New discovery server (fixes #4618)
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
2018-01-14 08:52:31 +00:00
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package main
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import (
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"sort"
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"time"
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"github.com/syndtr/goleveldb/leveldb"
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"github.com/syndtr/goleveldb/leveldb/util"
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)
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type clock interface {
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Now() time.Time
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}
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type defaultClock struct{}
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func (defaultClock) Now() time.Time {
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return time.Now()
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}
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type database interface {
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put(key string, rec DatabaseRecord) error
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merge(key string, addrs []DatabaseAddress, seen int64) error
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get(key string) (DatabaseRecord, error)
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}
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type levelDBStore struct {
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db *leveldb.DB
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inbox chan func()
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stop chan struct{}
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clock clock
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marshalBuf []byte
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}
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func newLevelDBStore(dir string) (*levelDBStore, error) {
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db, err := leveldb.OpenFile(dir, levelDBOptions)
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if err != nil {
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return nil, err
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}
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return &levelDBStore{
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db: db,
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inbox: make(chan func(), 16),
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stop: make(chan struct{}),
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clock: defaultClock{},
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}, nil
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}
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func (s *levelDBStore) put(key string, rec DatabaseRecord) error {
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t0 := time.Now()
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defer func() {
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databaseOperationSeconds.WithLabelValues(dbOpPut).Observe(time.Since(t0).Seconds())
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}()
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rc := make(chan error)
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s.inbox <- func() {
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size := rec.Size()
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if len(s.marshalBuf) < size {
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s.marshalBuf = make([]byte, size)
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}
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n, _ := rec.MarshalTo(s.marshalBuf)
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rc <- s.db.Put([]byte(key), s.marshalBuf[:n], nil)
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}
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err := <-rc
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if err != nil {
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databaseOperations.WithLabelValues(dbOpPut, dbResError).Inc()
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} else {
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databaseOperations.WithLabelValues(dbOpPut, dbResSuccess).Inc()
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}
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return err
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}
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func (s *levelDBStore) merge(key string, addrs []DatabaseAddress, seen int64) error {
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t0 := time.Now()
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defer func() {
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databaseOperationSeconds.WithLabelValues(dbOpMerge).Observe(time.Since(t0).Seconds())
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}()
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rc := make(chan error)
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newRec := DatabaseRecord{
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Addresses: addrs,
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Seen: seen,
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}
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s.inbox <- func() {
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// grab the existing record
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oldRec, err := s.get(key)
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if err != nil {
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// "not found" is not an error from get, so this is serious
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// stuff only
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rc <- err
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return
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}
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newRec = merge(newRec, oldRec)
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// We replicate s.put() functionality here ourselves instead of
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// calling it because we want to serialize our get above together
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// with the put in the same function.
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size := newRec.Size()
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if len(s.marshalBuf) < size {
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s.marshalBuf = make([]byte, size)
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}
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n, _ := newRec.MarshalTo(s.marshalBuf)
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rc <- s.db.Put([]byte(key), s.marshalBuf[:n], nil)
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}
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err := <-rc
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if err != nil {
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databaseOperations.WithLabelValues(dbOpMerge, dbResError).Inc()
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} else {
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databaseOperations.WithLabelValues(dbOpMerge, dbResSuccess).Inc()
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}
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return err
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}
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func (s *levelDBStore) get(key string) (DatabaseRecord, error) {
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t0 := time.Now()
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defer func() {
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databaseOperationSeconds.WithLabelValues(dbOpGet).Observe(time.Since(t0).Seconds())
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}()
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keyBs := []byte(key)
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val, err := s.db.Get(keyBs, nil)
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if err == leveldb.ErrNotFound {
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databaseOperations.WithLabelValues(dbOpGet, dbResNotFound).Inc()
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return DatabaseRecord{}, nil
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}
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if err != nil {
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databaseOperations.WithLabelValues(dbOpGet, dbResError).Inc()
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return DatabaseRecord{}, err
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}
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var rec DatabaseRecord
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if err := rec.Unmarshal(val); err != nil {
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databaseOperations.WithLabelValues(dbOpGet, dbResUnmarshalError).Inc()
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return DatabaseRecord{}, nil
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}
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rec.Addresses = expire(rec.Addresses, s.clock.Now().UnixNano())
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databaseOperations.WithLabelValues(dbOpGet, dbResSuccess).Inc()
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return rec, nil
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}
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func (s *levelDBStore) Serve() {
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t := time.NewTimer(0)
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defer t.Stop()
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defer s.db.Close()
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// Start the statistics serve routine. It will exit with us when
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// statisticsTrigger is closed.
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statisticsTrigger := make(chan struct{})
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statisticsDone := make(chan struct{})
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go s.statisticsServe(statisticsTrigger, statisticsDone)
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2018-10-18 11:39:36 +00:00
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loop:
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cmd/stdiscosrv: New discovery server (fixes #4618)
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
2018-01-14 08:52:31 +00:00
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for {
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select {
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case fn := <-s.inbox:
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// Run function in serialized order.
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fn()
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case <-t.C:
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// Trigger the statistics routine to do its thing in the
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// background.
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statisticsTrigger <- struct{}{}
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case <-statisticsDone:
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// The statistics routine is done with one iteratation, schedule
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// the next.
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t.Reset(databaseStatisticsInterval)
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case <-s.stop:
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// We're done.
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2018-10-18 11:39:36 +00:00
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close(statisticsTrigger)
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break loop
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cmd/stdiscosrv: New discovery server (fixes #4618)
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
2018-01-14 08:52:31 +00:00
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}
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}
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2018-10-18 11:39:36 +00:00
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// Also wait for statisticsServe to return
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<-statisticsDone
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cmd/stdiscosrv: New discovery server (fixes #4618)
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
2018-01-14 08:52:31 +00:00
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}
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func (s *levelDBStore) statisticsServe(trigger <-chan struct{}, done chan<- struct{}) {
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2018-10-18 11:39:36 +00:00
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defer close(done)
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cmd/stdiscosrv: New discovery server (fixes #4618)
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
2018-01-14 08:52:31 +00:00
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for range trigger {
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t0 := time.Now()
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nowNanos := t0.UnixNano()
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cutoff24h := t0.Add(-24 * time.Hour).UnixNano()
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cutoff1w := t0.Add(-7 * 24 * time.Hour).UnixNano()
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2018-05-16 07:26:20 +00:00
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cutoff2Mon := t0.Add(-60 * 24 * time.Hour).UnixNano()
|
cmd/stdiscosrv: New discovery server (fixes #4618)
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
2018-01-14 08:52:31 +00:00
|
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|
current, last24h, last1w, inactive, errors := 0, 0, 0, 0, 0
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iter := s.db.NewIterator(&util.Range{}, nil)
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for iter.Next() {
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// Attempt to unmarshal the record and count the
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|
// failure if there's something wrong with it.
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|
var rec DatabaseRecord
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if err := rec.Unmarshal(iter.Value()); err != nil {
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errors++
|
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|
|
continue
|
|
|
|
}
|
|
|
|
|
|
|
|
// If there are addresses that have not expired it's a current
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// record, otherwise account it based on when it was last seen
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|
// (last 24 hours or last week) or finally as inactice.
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switch {
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case len(expire(rec.Addresses, nowNanos)) > 0:
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current++
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|
case rec.Seen > cutoff24h:
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last24h++
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case rec.Seen > cutoff1w:
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last1w++
|
2018-05-16 07:26:20 +00:00
|
|
|
case rec.Seen > cutoff2Mon:
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inactive++
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|
case rec.Missed < cutoff2Mon:
|
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|
|
// It hasn't been seen lately and we haven't recorded
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|
|
// someone asking for this device in a long time either;
|
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|
|
// delete the record.
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|
|
|
if err := s.db.Delete(iter.Key(), nil); err != nil {
|
|
|
|
databaseOperations.WithLabelValues(dbOpDelete, dbResError).Inc()
|
|
|
|
} else {
|
|
|
|
databaseOperations.WithLabelValues(dbOpDelete, dbResSuccess).Inc()
|
|
|
|
}
|
cmd/stdiscosrv: New discovery server (fixes #4618)
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
2018-01-14 08:52:31 +00:00
|
|
|
default:
|
|
|
|
inactive++
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
iter.Release()
|
|
|
|
|
|
|
|
databaseKeys.WithLabelValues("current").Set(float64(current))
|
|
|
|
databaseKeys.WithLabelValues("last24h").Set(float64(last24h))
|
|
|
|
databaseKeys.WithLabelValues("last1w").Set(float64(last1w))
|
|
|
|
databaseKeys.WithLabelValues("inactive").Set(float64(inactive))
|
|
|
|
databaseKeys.WithLabelValues("error").Set(float64(errors))
|
|
|
|
databaseStatisticsSeconds.Set(time.Since(t0).Seconds())
|
|
|
|
|
|
|
|
// Signal that we are done and can be scheduled again.
|
|
|
|
done <- struct{}{}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
func (s *levelDBStore) Stop() {
|
|
|
|
close(s.stop)
|
|
|
|
}
|
|
|
|
|
|
|
|
// merge returns the merged result of the two database records a and b. The
|
|
|
|
// result is the union of the two address sets, with the newer expiry time
|
|
|
|
// chosen for any duplicates.
|
|
|
|
func merge(a, b DatabaseRecord) DatabaseRecord {
|
|
|
|
// Both lists must be sorted for this to work.
|
|
|
|
sort.Slice(a.Addresses, func(i, j int) bool {
|
|
|
|
return a.Addresses[i].Address < a.Addresses[j].Address
|
|
|
|
})
|
|
|
|
sort.Slice(b.Addresses, func(i, j int) bool {
|
|
|
|
return b.Addresses[i].Address < b.Addresses[j].Address
|
|
|
|
})
|
|
|
|
|
|
|
|
res := DatabaseRecord{
|
|
|
|
Addresses: make([]DatabaseAddress, 0, len(a.Addresses)+len(b.Addresses)),
|
|
|
|
Seen: a.Seen,
|
|
|
|
}
|
|
|
|
if b.Seen > a.Seen {
|
|
|
|
res.Seen = b.Seen
|
|
|
|
}
|
|
|
|
|
|
|
|
aIdx := 0
|
|
|
|
bIdx := 0
|
|
|
|
aAddrs := a.Addresses
|
|
|
|
bAddrs := b.Addresses
|
|
|
|
loop:
|
|
|
|
for {
|
|
|
|
switch {
|
|
|
|
case aIdx == len(aAddrs) && bIdx == len(bAddrs):
|
|
|
|
// both lists are exhausted, we are done
|
|
|
|
break loop
|
|
|
|
|
|
|
|
case aIdx == len(aAddrs):
|
|
|
|
// a is exhausted, pick from b and continue
|
|
|
|
res.Addresses = append(res.Addresses, bAddrs[bIdx])
|
|
|
|
bIdx++
|
|
|
|
continue
|
|
|
|
|
|
|
|
case bIdx == len(bAddrs):
|
|
|
|
// b is exhausted, pick from a and continue
|
|
|
|
res.Addresses = append(res.Addresses, aAddrs[aIdx])
|
|
|
|
aIdx++
|
|
|
|
continue
|
|
|
|
}
|
|
|
|
|
|
|
|
// We have values left on both sides.
|
|
|
|
aVal := aAddrs[aIdx]
|
|
|
|
bVal := bAddrs[bIdx]
|
|
|
|
|
|
|
|
switch {
|
|
|
|
case aVal.Address == bVal.Address:
|
|
|
|
// update for same address, pick newer
|
|
|
|
if aVal.Expires > bVal.Expires {
|
|
|
|
res.Addresses = append(res.Addresses, aVal)
|
|
|
|
} else {
|
|
|
|
res.Addresses = append(res.Addresses, bVal)
|
|
|
|
}
|
|
|
|
aIdx++
|
|
|
|
bIdx++
|
|
|
|
|
|
|
|
case aVal.Address < bVal.Address:
|
|
|
|
// a is smallest, pick it and continue
|
|
|
|
res.Addresses = append(res.Addresses, aVal)
|
|
|
|
aIdx++
|
|
|
|
|
|
|
|
default:
|
|
|
|
// b is smallest, pick it and continue
|
|
|
|
res.Addresses = append(res.Addresses, bVal)
|
|
|
|
bIdx++
|
|
|
|
}
|
|
|
|
}
|
|
|
|
return res
|
|
|
|
}
|
|
|
|
|
|
|
|
// expire returns the list of addresses after removing expired entries.
|
|
|
|
// Expiration happen in place, so the slice given as the parameter is
|
|
|
|
// destroyed. Internal order is not preserved.
|
|
|
|
func expire(addrs []DatabaseAddress, now int64) []DatabaseAddress {
|
|
|
|
i := 0
|
|
|
|
for i < len(addrs) {
|
|
|
|
if addrs[i].Expires < now {
|
|
|
|
// This item is expired. Replace it with the last in the list
|
|
|
|
// (noop if we are at the last item).
|
|
|
|
addrs[i] = addrs[len(addrs)-1]
|
|
|
|
// Wipe the last item of the list to release references to
|
|
|
|
// strings and stuff.
|
|
|
|
addrs[len(addrs)-1] = DatabaseAddress{}
|
|
|
|
// Shorten the slice.
|
|
|
|
addrs = addrs[:len(addrs)-1]
|
|
|
|
continue
|
|
|
|
}
|
|
|
|
i++
|
|
|
|
}
|
|
|
|
return addrs
|
|
|
|
}
|