op-geth/les/txrelay.go

193 lines
4.7 KiB
Go
Raw Normal View History

2016-11-09 01:01:56 +00:00
// Copyright 2016 The go-ethereum Authors
2016-10-14 03:51:29 +00:00
// This file is part of the go-ethereum library.
//
// The go-ethereum library is free software: you can redistribute it and/or modify
// it under the terms of the GNU Lesser General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// The go-ethereum library is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU Lesser General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public License
// along with the go-ethereum library. If not, see <http://www.gnu.org/licenses/>.
2016-11-09 01:01:56 +00:00
2016-10-14 03:51:29 +00:00
package les
import (
"context"
2016-10-14 03:51:29 +00:00
"sync"
"github.com/ethereum/go-ethereum/common"
"github.com/ethereum/go-ethereum/core/types"
les, les/flowcontrol: improved request serving and flow control (#18230) This change - implements concurrent LES request serving even for a single peer. - replaces the request cost estimation method with a cost table based on benchmarks which gives much more consistent results. Until now the allowed number of light peers was just a guess which probably contributed a lot to the fluctuating quality of available service. Everything related to request cost is implemented in a single object, the 'cost tracker'. It uses a fixed cost table with a global 'correction factor'. Benchmark code is included and can be run at any time to adapt costs to low-level implementation changes. - reimplements flowcontrol.ClientManager in a cleaner and more efficient way, with added capabilities: There is now control over bandwidth, which allows using the flow control parameters for client prioritization. Target utilization over 100 percent is now supported to model concurrent request processing. Total serving bandwidth is reduced during block processing to prevent database contention. - implements an RPC API for the LES servers allowing server operators to assign priority bandwidth to certain clients and change prioritized status even while the client is connected. The new API is meant for cases where server operators charge for LES using an off-protocol mechanism. - adds a unit test for the new client manager. - adds an end-to-end test using the network simulator that tests bandwidth control functions through the new API.
2019-02-26 11:32:48 +00:00
"github.com/ethereum/go-ethereum/rlp"
2016-10-14 03:51:29 +00:00
)
type ltrInfo struct {
tx *types.Transaction
sentTo map[*serverPeer]struct{}
2016-10-14 03:51:29 +00:00
}
type lesTxRelay struct {
2016-10-14 03:51:29 +00:00
txSent map[common.Hash]*ltrInfo
txPending map[common.Hash]struct{}
peerList []*serverPeer
2016-10-14 03:51:29 +00:00
peerStartPos int
lock sync.RWMutex
stop chan struct{}
retriever *retrieveManager
2016-10-14 03:51:29 +00:00
}
func newLesTxRelay(ps *serverPeerSet, retriever *retrieveManager) *lesTxRelay {
r := &lesTxRelay{
2016-10-14 03:51:29 +00:00
txSent: make(map[common.Hash]*ltrInfo),
txPending: make(map[common.Hash]struct{}),
retriever: retriever,
stop: make(chan struct{}),
2016-10-14 03:51:29 +00:00
}
ps.subscribe(r)
return r
2016-10-14 03:51:29 +00:00
}
2019-11-27 08:49:41 +00:00
func (ltrx *lesTxRelay) Stop() {
close(ltrx.stop)
}
func (ltrx *lesTxRelay) registerPeer(p *serverPeer) {
2019-11-27 08:49:41 +00:00
ltrx.lock.Lock()
defer ltrx.lock.Unlock()
2016-10-14 03:51:29 +00:00
// Short circuit if the peer is announce only.
if p.onlyAnnounce {
return
}
ltrx.peerList = append(ltrx.peerList, p)
2016-10-14 03:51:29 +00:00
}
func (ltrx *lesTxRelay) unregisterPeer(p *serverPeer) {
2019-11-27 08:49:41 +00:00
ltrx.lock.Lock()
defer ltrx.lock.Unlock()
2016-10-14 03:51:29 +00:00
for i, peer := range ltrx.peerList {
if peer == p {
// Remove from the peer list
ltrx.peerList = append(ltrx.peerList[:i], ltrx.peerList[i+1:]...)
return
}
}
2016-10-14 03:51:29 +00:00
}
// send sends a list of transactions to at most a given number of peers at
// once, never resending any particular transaction to the same peer twice
2019-11-27 08:49:41 +00:00
func (ltrx *lesTxRelay) send(txs types.Transactions, count int) {
sendTo := make(map[*serverPeer]types.Transactions)
2016-10-14 03:51:29 +00:00
2019-11-27 08:49:41 +00:00
ltrx.peerStartPos++ // rotate the starting position of the peer list
if ltrx.peerStartPos >= len(ltrx.peerList) {
ltrx.peerStartPos = 0
2016-10-14 03:51:29 +00:00
}
for _, tx := range txs {
hash := tx.Hash()
2019-11-27 08:49:41 +00:00
ltr, ok := ltrx.txSent[hash]
2016-10-14 03:51:29 +00:00
if !ok {
ltr = &ltrInfo{
tx: tx,
sentTo: make(map[*serverPeer]struct{}),
2016-10-14 03:51:29 +00:00
}
2019-11-27 08:49:41 +00:00
ltrx.txSent[hash] = ltr
ltrx.txPending[hash] = struct{}{}
2016-10-14 03:51:29 +00:00
}
2019-11-27 08:49:41 +00:00
if len(ltrx.peerList) > 0 {
2016-10-14 03:51:29 +00:00
cnt := count
2019-11-27 08:49:41 +00:00
pos := ltrx.peerStartPos
2016-10-14 03:51:29 +00:00
for {
2019-11-27 08:49:41 +00:00
peer := ltrx.peerList[pos]
2016-10-14 03:51:29 +00:00
if _, ok := ltr.sentTo[peer]; !ok {
sendTo[peer] = append(sendTo[peer], tx)
ltr.sentTo[peer] = struct{}{}
cnt--
}
if cnt == 0 {
break // sent it to the desired number of peers
}
pos++
2019-11-27 08:49:41 +00:00
if pos == len(ltrx.peerList) {
2016-10-14 03:51:29 +00:00
pos = 0
}
2019-11-27 08:49:41 +00:00
if pos == ltrx.peerStartPos {
2016-10-14 03:51:29 +00:00
break // tried all available peers
}
}
}
}
for p, list := range sendTo {
pp := p
ll := list
les, les/flowcontrol: improved request serving and flow control (#18230) This change - implements concurrent LES request serving even for a single peer. - replaces the request cost estimation method with a cost table based on benchmarks which gives much more consistent results. Until now the allowed number of light peers was just a guess which probably contributed a lot to the fluctuating quality of available service. Everything related to request cost is implemented in a single object, the 'cost tracker'. It uses a fixed cost table with a global 'correction factor'. Benchmark code is included and can be run at any time to adapt costs to low-level implementation changes. - reimplements flowcontrol.ClientManager in a cleaner and more efficient way, with added capabilities: There is now control over bandwidth, which allows using the flow control parameters for client prioritization. Target utilization over 100 percent is now supported to model concurrent request processing. Total serving bandwidth is reduced during block processing to prevent database contention. - implements an RPC API for the LES servers allowing server operators to assign priority bandwidth to certain clients and change prioritized status even while the client is connected. The new API is meant for cases where server operators charge for LES using an off-protocol mechanism. - adds a unit test for the new client manager. - adds an end-to-end test using the network simulator that tests bandwidth control functions through the new API.
2019-02-26 11:32:48 +00:00
enc, _ := rlp.EncodeToBytes(ll)
reqID := genReqID()
rq := &distReq{
getCost: func(dp distPeer) uint64 {
peer := dp.(*serverPeer)
return peer.getTxRelayCost(len(ll), len(enc))
},
canSend: func(dp distPeer) bool {
return !dp.(*serverPeer).onlyAnnounce && dp.(*serverPeer) == pp
},
request: func(dp distPeer) func() {
peer := dp.(*serverPeer)
cost := peer.getTxRelayCost(len(ll), len(enc))
les, les/flowcontrol: improved request serving and flow control (#18230) This change - implements concurrent LES request serving even for a single peer. - replaces the request cost estimation method with a cost table based on benchmarks which gives much more consistent results. Until now the allowed number of light peers was just a guess which probably contributed a lot to the fluctuating quality of available service. Everything related to request cost is implemented in a single object, the 'cost tracker'. It uses a fixed cost table with a global 'correction factor'. Benchmark code is included and can be run at any time to adapt costs to low-level implementation changes. - reimplements flowcontrol.ClientManager in a cleaner and more efficient way, with added capabilities: There is now control over bandwidth, which allows using the flow control parameters for client prioritization. Target utilization over 100 percent is now supported to model concurrent request processing. Total serving bandwidth is reduced during block processing to prevent database contention. - implements an RPC API for the LES servers allowing server operators to assign priority bandwidth to certain clients and change prioritized status even while the client is connected. The new API is meant for cases where server operators charge for LES using an off-protocol mechanism. - adds a unit test for the new client manager. - adds an end-to-end test using the network simulator that tests bandwidth control functions through the new API.
2019-02-26 11:32:48 +00:00
peer.fcServer.QueuedRequest(reqID, cost)
return func() { peer.sendTxs(reqID, len(ll), enc) }
},
}
2019-11-27 08:49:41 +00:00
go ltrx.retriever.retrieve(context.Background(), reqID, rq, func(p distPeer, msg *Msg) error { return nil }, ltrx.stop)
2016-10-14 03:51:29 +00:00
}
}
2019-11-27 08:49:41 +00:00
func (ltrx *lesTxRelay) Send(txs types.Transactions) {
ltrx.lock.Lock()
defer ltrx.lock.Unlock()
2016-10-14 03:51:29 +00:00
2019-11-27 08:49:41 +00:00
ltrx.send(txs, 3)
2016-10-14 03:51:29 +00:00
}
2019-11-27 08:49:41 +00:00
func (ltrx *lesTxRelay) NewHead(head common.Hash, mined []common.Hash, rollback []common.Hash) {
ltrx.lock.Lock()
defer ltrx.lock.Unlock()
2016-10-14 03:51:29 +00:00
for _, hash := range mined {
2019-11-27 08:49:41 +00:00
delete(ltrx.txPending, hash)
2016-10-14 03:51:29 +00:00
}
for _, hash := range rollback {
2019-11-27 08:49:41 +00:00
ltrx.txPending[hash] = struct{}{}
2016-10-14 03:51:29 +00:00
}
2019-11-27 08:49:41 +00:00
if len(ltrx.txPending) > 0 {
txs := make(types.Transactions, len(ltrx.txPending))
2016-10-14 03:51:29 +00:00
i := 0
2019-11-27 08:49:41 +00:00
for hash := range ltrx.txPending {
txs[i] = ltrx.txSent[hash].tx
2016-10-14 03:51:29 +00:00
i++
}
2019-11-27 08:49:41 +00:00
ltrx.send(txs, 1)
2016-10-14 03:51:29 +00:00
}
}
2019-11-27 08:49:41 +00:00
func (ltrx *lesTxRelay) Discard(hashes []common.Hash) {
ltrx.lock.Lock()
defer ltrx.lock.Unlock()
2016-10-14 03:51:29 +00:00
for _, hash := range hashes {
2019-11-27 08:49:41 +00:00
delete(ltrx.txSent, hash)
delete(ltrx.txPending, hash)
2016-10-14 03:51:29 +00:00
}
}