package pilorama import ( "encoding/binary" "slices" "sort" "sync" "time" cidSDK "git.frostfs.info/TrueCloudLab/frostfs-sdk-go/container/id" "go.etcd.io/bbolt" ) type batch struct { forest *boltForest timer *time.Timer // mtx protects timer and operations fields. // Because mtx can be taken inside a transaction, // transactions MUST NOT be executed with the mutex taken to avoid a deadlock. mtx sync.Mutex start sync.Once cid cidSDK.ID treeID string results []chan<- error operations []*Move } func (b *batch) trigger() { b.mtx.Lock() if b.timer != nil { b.timer.Stop() } b.mtx.Unlock() b.start.Do(b.run) } func (b *batch) run() { fullID := bucketName(b.cid, b.treeID) err := b.forest.db.Update(func(tx *bbolt.Tx) error { bLog, bTree, err := b.forest.getTreeBuckets(tx, fullID) if err != nil { return err } b.mtx.Lock() b.timer = nil b.mtx.Unlock() // Sorting without a mutex is ok, because we append to this slice only if timer is non-nil. // See (*boltForest).addBatch for details. sort.Slice(b.operations, func(i, j int) bool { return b.operations[i].Time < b.operations[j].Time }) b.operations = slices.CompactFunc(b.operations, func(x, y *Move) bool { return x.Time == y.Time }) // Our main use-case is addition of new items. In this case, // we do not need to perform undo()/redo(), just do(). // https://github.com/trvedata/move-op/blob/6c23447c12a7862ff31b7fc2205f6c90fbdb9dc0/proof/Move_Create.thy#L259 // // For this optimization to work we need to ensure three things: // 1. The node itself is not yet in tree. // 2. The node is not a parent. This case is not mentioned in the article, because // they consider a "static order" (perform all CREATE operations before MOVE). // We need this because if node _is_ a parent, we could violate (3) for some late operation. // See TestForest_ApplySameOperation for details. // 3. Parent of each operation is already in tree. var parents map[uint64]struct{} var cKey [maxKeySize]byte var slow bool for i := range b.operations { _, _, _, inTree := b.forest.getState(bTree, stateKey(cKey[:], b.operations[i].Child)) if inTree { slow = true break } key := childrenKey(cKey[:], b.operations[i].Child, 0) k, _ := bTree.Cursor().Seek(key) if len(k) == childrenKeySize && binary.LittleEndian.Uint64(k[1:]) == b.operations[i].Child { slow = true break } if b.operations[i].Parent == RootID { continue } else if parents == nil { // Attaching key only to root is done frequently, // no allocations are performed unless necessary. parents = make(map[uint64]struct{}) } else if _, ok := parents[b.operations[i].Parent]; ok { continue } p := b.operations[i].Parent _, ts, _, inTree := b.forest.getState(bTree, stateKey(cKey[:], p)) if !inTree || b.operations[0].Time < ts { slow = true break } parents[b.operations[i].Parent] = struct{}{} } if slow { var lm Move return b.forest.applyOperation(bLog, bTree, b.operations, &lm) } for i := range b.operations { if err := b.forest.do(bLog, bTree, cKey[:], b.operations[i]); err != nil { return err } } return nil }) for i := range b.results { b.results[i] <- err } }