350 lines
10 KiB
Go
350 lines
10 KiB
Go
// Copyright 2019 The go-ethereum Authors
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// This file is part of the go-ethereum library.
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//
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// The go-ethereum library is free software: you can redistribute it and/or modify
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// it under the terms of the GNU Lesser General Public License as published by
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// the Free Software Foundation, either version 3 of the License, or
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// (at your option) any later version.
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//
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// The go-ethereum library is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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// GNU Lesser General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public License
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// along with the go-ethereum library. If not, see <http://www.gnu.org/licenses/>.
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package snapshot
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import (
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"bytes"
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"math/big"
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"math/rand"
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"os"
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"path"
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"testing"
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"github.com/VictoriaMetrics/fastcache"
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"github.com/ethereum/go-ethereum/common"
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"github.com/ethereum/go-ethereum/ethdb/memorydb"
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"github.com/ethereum/go-ethereum/rlp"
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)
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func randomAccount() []byte {
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root := randomHash()
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a := Account{
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Balance: big.NewInt(rand.Int63()),
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Nonce: rand.Uint64(),
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Root: root[:],
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CodeHash: emptyCode[:],
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}
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data, _ := rlp.EncodeToBytes(a)
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return data
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}
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// TestMergeBasics tests some simple merges
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func TestMergeBasics(t *testing.T) {
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var (
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accounts = make(map[common.Hash][]byte)
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storage = make(map[common.Hash]map[common.Hash][]byte)
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)
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// Fill up a parent
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for i := 0; i < 100; i++ {
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h := randomHash()
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data := randomAccount()
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accounts[h] = data
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if rand.Intn(20) < 10 {
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accStorage := make(map[common.Hash][]byte)
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value := make([]byte, 32)
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rand.Read(value)
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accStorage[randomHash()] = value
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storage[h] = accStorage
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}
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}
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// Add some (identical) layers on top
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parent := newDiffLayer(emptyLayer(), common.Hash{}, accounts, storage)
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child := newDiffLayer(parent, common.Hash{}, accounts, storage)
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child = newDiffLayer(child, common.Hash{}, accounts, storage)
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child = newDiffLayer(child, common.Hash{}, accounts, storage)
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child = newDiffLayer(child, common.Hash{}, accounts, storage)
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// And flatten
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merged := (child.flatten()).(*diffLayer)
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{ // Check account lists
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// Should be zero/nil first
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if got, exp := len(merged.accountList), 0; got != exp {
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t.Errorf("accountList wrong, got %v exp %v", got, exp)
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}
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// Then set when we call AccountList
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if got, exp := len(merged.AccountList()), len(accounts); got != exp {
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t.Errorf("AccountList() wrong, got %v exp %v", got, exp)
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}
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if got, exp := len(merged.accountList), len(accounts); got != exp {
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t.Errorf("accountList [2] wrong, got %v exp %v", got, exp)
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}
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}
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{ // Check storage lists
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i := 0
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for aHash, sMap := range storage {
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if got, exp := len(merged.storageList), i; got != exp {
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t.Errorf("[1] storageList wrong, got %v exp %v", got, exp)
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}
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if got, exp := len(merged.StorageList(aHash)), len(sMap); got != exp {
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t.Errorf("[2] StorageList() wrong, got %v exp %v", got, exp)
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}
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if got, exp := len(merged.storageList[aHash]), len(sMap); got != exp {
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t.Errorf("storageList wrong, got %v exp %v", got, exp)
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}
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i++
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}
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}
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}
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// TestMergeDelete tests some deletion
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func TestMergeDelete(t *testing.T) {
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var (
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storage = make(map[common.Hash]map[common.Hash][]byte)
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)
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// Fill up a parent
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h1 := common.HexToHash("0x01")
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h2 := common.HexToHash("0x02")
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flip := func() map[common.Hash][]byte {
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accs := make(map[common.Hash][]byte)
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accs[h1] = randomAccount()
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accs[h2] = nil
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return accs
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}
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flop := func() map[common.Hash][]byte {
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accs := make(map[common.Hash][]byte)
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accs[h1] = nil
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accs[h2] = randomAccount()
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return accs
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}
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// Add some flip-flopping layers on top
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parent := newDiffLayer(emptyLayer(), common.Hash{}, flip(), storage)
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child := parent.Update(common.Hash{}, flop(), storage)
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child = child.Update(common.Hash{}, flip(), storage)
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child = child.Update(common.Hash{}, flop(), storage)
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child = child.Update(common.Hash{}, flip(), storage)
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child = child.Update(common.Hash{}, flop(), storage)
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child = child.Update(common.Hash{}, flip(), storage)
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if data, _ := child.Account(h1); data == nil {
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t.Errorf("last diff layer: expected %x to be non-nil", h1)
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}
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if data, _ := child.Account(h2); data != nil {
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t.Errorf("last diff layer: expected %x to be nil", h2)
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}
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// And flatten
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merged := (child.flatten()).(*diffLayer)
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if data, _ := merged.Account(h1); data == nil {
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t.Errorf("merged layer: expected %x to be non-nil", h1)
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}
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if data, _ := merged.Account(h2); data != nil {
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t.Errorf("merged layer: expected %x to be nil", h2)
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}
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// If we add more granular metering of memory, we can enable this again,
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// but it's not implemented for now
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//if got, exp := merged.memory, child.memory; got != exp {
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// t.Errorf("mem wrong, got %d, exp %d", got, exp)
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//}
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}
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// This tests that if we create a new account, and set a slot, and then merge
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// it, the lists will be correct.
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func TestInsertAndMerge(t *testing.T) {
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// Fill up a parent
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var (
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acc = common.HexToHash("0x01")
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slot = common.HexToHash("0x02")
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parent *diffLayer
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child *diffLayer
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)
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{
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var accounts = make(map[common.Hash][]byte)
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var storage = make(map[common.Hash]map[common.Hash][]byte)
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parent = newDiffLayer(emptyLayer(), common.Hash{}, accounts, storage)
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}
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{
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var accounts = make(map[common.Hash][]byte)
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var storage = make(map[common.Hash]map[common.Hash][]byte)
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accounts[acc] = randomAccount()
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accstorage := make(map[common.Hash][]byte)
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storage[acc] = accstorage
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storage[acc][slot] = []byte{0x01}
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child = newDiffLayer(parent, common.Hash{}, accounts, storage)
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}
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// And flatten
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merged := (child.flatten()).(*diffLayer)
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{ // Check that slot value is present
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got, _ := merged.Storage(acc, slot)
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if exp := []byte{0x01}; bytes.Compare(got, exp) != 0 {
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t.Errorf("merged slot value wrong, got %x, exp %x", got, exp)
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}
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}
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}
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func emptyLayer() *diskLayer {
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return &diskLayer{
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diskdb: memorydb.New(),
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cache: fastcache.New(500 * 1024),
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}
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}
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// BenchmarkSearch checks how long it takes to find a non-existing key
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// BenchmarkSearch-6 200000 10481 ns/op (1K per layer)
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// BenchmarkSearch-6 200000 10760 ns/op (10K per layer)
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// BenchmarkSearch-6 100000 17866 ns/op
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//
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// BenchmarkSearch-6 500000 3723 ns/op (10k per layer, only top-level RLock()
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func BenchmarkSearch(b *testing.B) {
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// First, we set up 128 diff layers, with 1K items each
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fill := func(parent snapshot) *diffLayer {
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accounts := make(map[common.Hash][]byte)
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storage := make(map[common.Hash]map[common.Hash][]byte)
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for i := 0; i < 10000; i++ {
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accounts[randomHash()] = randomAccount()
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}
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return newDiffLayer(parent, common.Hash{}, accounts, storage)
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}
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var layer snapshot
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layer = emptyLayer()
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for i := 0; i < 128; i++ {
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layer = fill(layer)
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}
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key := common.Hash{}
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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layer.AccountRLP(key)
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}
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}
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// BenchmarkSearchSlot checks how long it takes to find a non-existing key
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// - Number of layers: 128
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// - Each layers contains the account, with a couple of storage slots
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// BenchmarkSearchSlot-6 100000 14554 ns/op
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// BenchmarkSearchSlot-6 100000 22254 ns/op (when checking parent root using mutex)
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// BenchmarkSearchSlot-6 100000 14551 ns/op (when checking parent number using atomic)
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func BenchmarkSearchSlot(b *testing.B) {
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// First, we set up 128 diff layers, with 1K items each
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accountKey := common.Hash{}
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storageKey := common.HexToHash("0x1337")
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accountRLP := randomAccount()
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fill := func(parent snapshot) *diffLayer {
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accounts := make(map[common.Hash][]byte)
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accounts[accountKey] = accountRLP
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storage := make(map[common.Hash]map[common.Hash][]byte)
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accStorage := make(map[common.Hash][]byte)
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for i := 0; i < 5; i++ {
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value := make([]byte, 32)
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rand.Read(value)
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accStorage[randomHash()] = value
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storage[accountKey] = accStorage
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}
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return newDiffLayer(parent, common.Hash{}, accounts, storage)
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}
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var layer snapshot
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layer = emptyLayer()
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for i := 0; i < 128; i++ {
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layer = fill(layer)
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}
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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layer.Storage(accountKey, storageKey)
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}
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}
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// With accountList and sorting
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//BenchmarkFlatten-6 50 29890856 ns/op
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//
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// Without sorting and tracking accountlist
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// BenchmarkFlatten-6 300 5511511 ns/op
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func BenchmarkFlatten(b *testing.B) {
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fill := func(parent snapshot) *diffLayer {
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accounts := make(map[common.Hash][]byte)
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storage := make(map[common.Hash]map[common.Hash][]byte)
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for i := 0; i < 100; i++ {
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accountKey := randomHash()
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accounts[accountKey] = randomAccount()
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accStorage := make(map[common.Hash][]byte)
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for i := 0; i < 20; i++ {
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value := make([]byte, 32)
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rand.Read(value)
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accStorage[randomHash()] = value
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}
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storage[accountKey] = accStorage
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}
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return newDiffLayer(parent, common.Hash{}, accounts, storage)
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}
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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b.StopTimer()
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var layer snapshot
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layer = emptyLayer()
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for i := 1; i < 128; i++ {
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layer = fill(layer)
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}
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b.StartTimer()
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for i := 1; i < 128; i++ {
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dl, ok := layer.(*diffLayer)
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if !ok {
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break
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}
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layer = dl.flatten()
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}
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b.StopTimer()
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}
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}
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// This test writes ~324M of diff layers to disk, spread over
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// - 128 individual layers,
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// - each with 200 accounts
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// - containing 200 slots
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//
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// BenchmarkJournal-6 1 1471373923 ns/ops
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// BenchmarkJournal-6 1 1208083335 ns/op // bufio writer
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func BenchmarkJournal(b *testing.B) {
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fill := func(parent snapshot) *diffLayer {
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accounts := make(map[common.Hash][]byte)
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storage := make(map[common.Hash]map[common.Hash][]byte)
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for i := 0; i < 200; i++ {
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accountKey := randomHash()
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accounts[accountKey] = randomAccount()
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accStorage := make(map[common.Hash][]byte)
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for i := 0; i < 200; i++ {
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value := make([]byte, 32)
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rand.Read(value)
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accStorage[randomHash()] = value
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}
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storage[accountKey] = accStorage
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}
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return newDiffLayer(parent, common.Hash{}, accounts, storage)
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}
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layer := snapshot(new(diskLayer))
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for i := 1; i < 128; i++ {
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layer = fill(layer)
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}
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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f, _, _ := layer.Journal(path.Join(os.TempDir(), "difflayer_journal.tmp"))
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f.Close()
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}
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}
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