core/state: use errgroups, commit accounts concurrently

This commit is contained in:
Péter Szilágyi 2024-04-30 09:06:24 +03:00
parent 385c7fb9fc
commit e270da3d77
2 changed files with 53 additions and 144 deletions

View file

@ -21,7 +21,6 @@ import (
"fmt"
"maps"
"math/big"
"runtime"
"slices"
"sort"
"sync"
@ -33,13 +32,13 @@ import (
"github.com/ethereum/go-ethereum/core/tracing"
"github.com/ethereum/go-ethereum/core/types"
"github.com/ethereum/go-ethereum/crypto"
"github.com/ethereum/go-ethereum/internal/syncx"
"github.com/ethereum/go-ethereum/log"
"github.com/ethereum/go-ethereum/params"
"github.com/ethereum/go-ethereum/trie"
"github.com/ethereum/go-ethereum/trie/trienode"
"github.com/ethereum/go-ethereum/trie/triestate"
"github.com/holiman/uint256"
"golang.org/x/sync/errgroup"
)
type revision struct {
@ -1159,11 +1158,51 @@ func (s *StateDB) Commit(block uint64, deleteEmptyObjects bool) (common.Hash, er
// writes to run in parallel with the computations.
start := time.Now()
var (
code = s.db.DiskDB().NewBatch()
lock sync.Mutex
code = s.db.DiskDB().NewBatch()
lock sync.Mutex
root common.Hash
workers errgroup.Group
)
workers := syncx.NewWorkerPool[*stateObject, error](len(s.mutations), min(len(s.mutations), runtime.NumCPU()),
func(obj *stateObject) error {
// Schedule the account trie first since that will be the biggest, so give
// it the most time to crunch.
workers.Go(func() error {
// Write the account trie changes, measuring the amount of wasted time
start = time.Now()
newroot, set, err := s.trie.Commit(true)
if err != nil {
return err
}
root = newroot
// Merge the dirty nodes of account trie into global set
if set != nil {
lock.Lock()
defer lock.Unlock()
if err = nodes.Merge(set); err != nil {
return err
}
accountTrieNodesUpdated, accountTrieNodesDeleted = set.Size()
}
// Report the commit metrics
s.AccountCommits += time.Since(start)
return nil
})
// Schedule each of the storage tries that need to be updated, so they can
// run concurrently to one another.
for addr, op := range s.mutations {
if op.isDelete() {
continue
}
// Write any contract code associated with the state object
obj := s.stateObjects[addr]
if obj.code != nil && obj.dirtyCode {
rawdb.WriteCode(code, common.BytesToHash(obj.CodeHash()), obj.code)
obj.dirtyCode = false
}
// Run the storage updates concurrently to one another
workers.Go(func() error {
// Write any storage changes in the state object to its storage trie
set, err := obj.commit()
if err != nil {
@ -1185,60 +1224,24 @@ func (s *StateDB) Commit(block uint64, deleteEmptyObjects bool) (common.Hash, er
}
return nil
})
for addr, op := range s.mutations {
if op.isDelete() {
continue
}
// Write any contract code associated with the state object
obj := s.stateObjects[addr]
if obj.code != nil && obj.dirtyCode {
rawdb.WriteCode(code, common.BytesToHash(obj.CodeHash()), obj.code)
obj.dirtyCode = false
}
// Run the storage updates concurrently to one another
workers.Schedule(obj)
}
workers.Close()
// Updates running concurrently, wait for them to complete; running the code
// writes in the meantime.
done := make(chan struct{})
go func() {
// This goroutine is only needed to accurately measure the storage commit
// and not have the concurrent code write dirty the stats.
defer close(done)
workers.Wait()
s.StorageCommits += time.Since(start)
if code.ValueSize() > 0 {
if err := code.Write(); err != nil {
log.Crit("Failed to commit dirty codes", "error", err)
}
}
}()
if code.ValueSize() > 0 {
if err := code.Write(); err != nil {
log.Crit("Failed to commit dirty codes", "error", err)
}
}
<-done
for err := range workers.Results() {
if err != nil {
return common.Hash{}, err
}
}
// Write the account trie changes, measuring the amount of wasted time
start = time.Now()
root, set, err := s.trie.Commit(true)
if err != nil {
if err := workers.Wait(); err != nil {
return common.Hash{}, err
}
// Merge the dirty nodes of account trie into global set
if set != nil {
if err := nodes.Merge(set); err != nil {
return common.Hash{}, err
}
accountTrieNodesUpdated, accountTrieNodesDeleted = set.Size()
}
// Report the commit metrics
s.AccountCommits += time.Since(start)
s.StorageCommits += time.Since(start)
<-done
accountUpdatedMeter.Mark(int64(s.AccountUpdated))
storageUpdatedMeter.Mark(int64(s.StorageUpdated))

View file

@ -1,94 +0,0 @@
// Copyright 2024 The go-ethereum Authors
// 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/>.
package syncx
import (
"runtime"
"sync"
)
// WorkerPool is a concurrent task processor, scheduling and running tasks from
// a source channel, feeding any errors into a sink.
type WorkerPool[T any, R any] struct {
tasks chan T // Input channel waiting to consume tasks
results chan R // Result channel for consuers to wait on
working sync.WaitGroup // Waitgroup blocking on worker liveness
}
// NewWorkerPool creates a worker pool with the given number of max task capacity
// and an optional goroutine count to execute on. If 0 threads are requested, the
// pool will default to the number of (logical) CPUs.
func NewWorkerPool[T any, R any](tasks int, threads int, f func(T) R) *WorkerPool[T, R] {
// Create the worker pool
pool := &WorkerPool[T, R]{
tasks: make(chan T, tasks),
results: make(chan R, tasks),
}
// Start all the data processor routines
if threads == 0 {
threads = runtime.NumCPU()
}
pool.working.Add(threads)
for i := 0; i < threads; i++ {
go pool.work(f)
}
return pool
}
// Close signals the end of the task stream. It does not block execution, rather
// returns immediately and users have to explicitly call Wait to block until the
// pool actually spins down. Alternatively, consumers can read the results chan,
// which will be closed after the last result is delivered.
//
// Calling Close multiple times will panic. Not particularly hard to avoid, but
// it's really a programming error.
func (pool *WorkerPool[T, R]) Close() {
close(pool.tasks)
go func() {
pool.working.Wait()
close(pool.results)
}()
}
// Wait blocks until all the scheduled tasks have been processed.
func (pool *WorkerPool[T, R]) Wait() {
pool.working.Wait()
}
// Schedule adds a task to the work queue.
func (pool *WorkerPool[T, R]) Schedule(task T) {
pool.tasks <- task
}
// Results retrieves the result channel to consume the output of the individual
// work tasks. The channel will be closed after all tasks are done.
//
// Note, as long as the number of actually scheduled tasks are smaller or equal
// to the requested number form the constructor, it's fine to not consume this
// channel.
func (pool *WorkerPool[T, R]) Results() chan R {
return pool.results
}
// work is the (one of many) goroutine consuming input tasks and executing them
// to compute the results.
func (pool *WorkerPool[T, R]) work(f func(T) R) {
defer pool.working.Done()
for task := range pool.tasks {
pool.results <- f(task)
}
}