forked from cerc-io/plugeth
cmd, core, eth, graphql, trie: no persisted clean trie cache file (#27525)
The clean trie cache is persisted periodically, therefore Geth can quickly warmup the cache in next restart. However it will reduce the robustness of system. The assumption is held in Geth that if the parent trie node is present, then the entire sub-trie associated with the parent are all prensent. Imagine the scenario that Geth rewinds itself to a past block and restart, but Geth finds the root node of "future state" in clean cache then regard this state is present in disk, while is not in fact. Another example is offline pruning tool. Whenever an offline pruning is performed, the clean cache file has to be removed to aviod hitting the root node of "deleted states" in clean cache. All in all, compare with the minor performance gain, system robustness is something we care more.
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@@ -18,22 +18,18 @@ package trie
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import (
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"errors"
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"runtime"
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"time"
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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"
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"github.com/ethereum/go-ethereum/log"
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"github.com/ethereum/go-ethereum/trie/triedb/hashdb"
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"github.com/ethereum/go-ethereum/trie/trienode"
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)
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// Config defines all necessary options for database.
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type Config struct {
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Cache int // Memory allowance (MB) to use for caching trie nodes in memory
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Journal string // Journal of clean cache to survive node restarts
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Preimages bool // Flag whether the preimage of trie key is recorded
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Cache int // Memory allowance (MB) to use for caching trie nodes in memory
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Preimages bool // Flag whether the preimage of trie key is recorded
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}
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// backend defines the methods needed to access/update trie nodes in different
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@@ -79,11 +75,7 @@ type Database struct {
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func prepare(diskdb ethdb.Database, config *Config) *Database {
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var cleans *fastcache.Cache
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if config != nil && config.Cache > 0 {
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if config.Journal == "" {
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cleans = fastcache.New(config.Cache * 1024 * 1024)
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} else {
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cleans = fastcache.LoadFromFileOrNew(config.Journal, config.Cache*1024*1024)
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}
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cleans = fastcache.New(config.Cache * 1024 * 1024)
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}
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var preimages *preimageStore
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if config != nil && config.Preimages {
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@@ -179,46 +171,6 @@ func (db *Database) WritePreimages() {
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}
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}
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// saveCache saves clean state cache to given directory path
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// using specified CPU cores.
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func (db *Database) saveCache(dir string, threads int) error {
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if db.cleans == nil {
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return nil
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}
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log.Info("Writing clean trie cache to disk", "path", dir, "threads", threads)
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start := time.Now()
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err := db.cleans.SaveToFileConcurrent(dir, threads)
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if err != nil {
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log.Error("Failed to persist clean trie cache", "error", err)
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return err
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}
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log.Info("Persisted the clean trie cache", "path", dir, "elapsed", common.PrettyDuration(time.Since(start)))
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return nil
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}
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// SaveCache atomically saves fast cache data to the given dir using all
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// available CPU cores.
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func (db *Database) SaveCache(dir string) error {
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return db.saveCache(dir, runtime.GOMAXPROCS(0))
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}
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// SaveCachePeriodically atomically saves fast cache data to the given dir with
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// the specified interval. All dump operation will only use a single CPU core.
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func (db *Database) SaveCachePeriodically(dir string, interval time.Duration, stopCh <-chan struct{}) {
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ticker := time.NewTicker(interval)
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defer ticker.Stop()
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for {
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select {
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case <-ticker.C:
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db.saveCache(dir, 1)
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case <-stopCh:
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return
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}
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}
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}
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// Cap iteratively flushes old but still referenced trie nodes until the total
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// memory usage goes below the given threshold. The held pre-images accumulated
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// up to this point will be flushed in case the size exceeds the threshold.
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