forked from TrueCloudLab/frostfs-node
[#1621] pilorama: Batch related operations
Signed-off-by: Evgenii Stratonikov <evgeniy@nspcc.ru> Signed-off-by: Evgenii Stratonikov <evgeniy@morphbits.ru> Signed-off-by: Evgenii Stratonikov <e.stratonikov@yadro.com>
This commit is contained in:
parent
9009612a82
commit
ac81c70c09
4 changed files with 307 additions and 128 deletions
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@ -4,6 +4,8 @@ Changelog for FrostFS Node
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## [Unreleased]
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### Added
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- Separate batching for replicated operations over the same container in pilorama (#1621)
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### Changed
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### Fixed
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- Big object removal with non-local parts (#1978)
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49
pkg/local_object_storage/pilorama/batch.go
Normal file
49
pkg/local_object_storage/pilorama/batch.go
Normal file
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@ -0,0 +1,49 @@
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package pilorama
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import (
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"sort"
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"sync"
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"time"
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cidSDK "github.com/TrueCloudLab/frostfs-sdk-go/container/id"
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"go.etcd.io/bbolt"
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)
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type batch struct {
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forest *boltForest
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timer *time.Timer
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mtx sync.Mutex
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start sync.Once
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cid cidSDK.ID
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treeID string
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results []chan<- error
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operations []*Move
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}
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func (b *batch) trigger() {
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b.mtx.Lock()
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if b.timer != nil {
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b.timer.Stop()
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b.timer = nil
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}
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b.mtx.Unlock()
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b.start.Do(b.run)
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}
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func (b *batch) run() {
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sort.Slice(b.operations, func(i, j int) bool {
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return b.operations[i].Time < b.operations[j].Time
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})
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err := b.forest.db.Update(func(tx *bbolt.Tx) error {
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bLog, bTree, err := b.forest.getTreeBuckets(tx, b.cid, b.treeID)
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if err != nil {
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return err
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}
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var lm LogMove
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return b.forest.applyOperation(bLog, bTree, b.operations, &lm)
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})
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for i := range b.operations {
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b.results[i] <- err
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}
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}
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@ -24,6 +24,11 @@ type boltForest struct {
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modeMtx sync.RWMutex
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mode mode.Mode
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// mtx protects batches field.
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mtx sync.Mutex
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batches []*batch
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cfg
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}
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@ -318,15 +323,64 @@ func (t *boltForest) TreeApply(d CIDDescriptor, treeID string, m *Move, backgrou
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}
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}
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return t.db.Batch(func(tx *bbolt.Tx) error {
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bLog, bTree, err := t.getTreeBuckets(tx, d.CID, treeID)
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if err != nil {
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return err
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if t.db.MaxBatchSize == 1 {
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return t.db.Update(func(tx *bbolt.Tx) error {
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bLog, bTree, err := t.getTreeBuckets(tx, d.CID, treeID)
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if err != nil {
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return err
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}
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var lm LogMove
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return t.applyOperation(bLog, bTree, []*Move{m}, &lm)
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})
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}
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ch := make(chan error, 1)
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t.addBatch(d, treeID, m, ch)
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return <-ch
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}
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func (t *boltForest) addBatch(d CIDDescriptor, treeID string, m *Move, ch chan error) {
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t.mtx.Lock()
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for i := 0; i < len(t.batches); i++ {
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t.batches[i].mtx.Lock()
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if t.batches[i].timer == nil {
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t.batches[i].mtx.Unlock()
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copy(t.batches[i:], t.batches[i+1:])
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t.batches = t.batches[:len(t.batches)-1]
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i--
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continue
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}
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lm := &LogMove{Move: *m}
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return t.applyOperation(bLog, bTree, lm)
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})
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found := t.batches[i].cid.Equals(d.CID) && t.batches[i].treeID == treeID
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if found {
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t.batches[i].results = append(t.batches[i].results, ch)
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t.batches[i].operations = append(t.batches[i].operations, m)
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if len(t.batches[i].operations) == t.db.MaxBatchSize {
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t.batches[i].timer.Stop()
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t.batches[i].timer = nil
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t.batches[i].mtx.Unlock()
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b := t.batches[i]
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t.mtx.Unlock()
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b.trigger()
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return
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}
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t.batches[i].mtx.Unlock()
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t.mtx.Unlock()
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return
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}
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t.batches[i].mtx.Unlock()
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}
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b := &batch{
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forest: t,
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cid: d.CID,
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treeID: treeID,
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results: []chan<- error{ch},
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operations: []*Move{m},
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}
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b.timer = time.AfterFunc(t.db.MaxBatchDelay, b.trigger)
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t.batches = append(t.batches, b)
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t.mtx.Unlock()
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}
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func (t *boltForest) getTreeBuckets(tx *bbolt.Tx, cid cidSDK.ID, treeID string) (*bbolt.Bucket, *bbolt.Bucket, error) {
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@ -351,16 +405,11 @@ func (t *boltForest) getTreeBuckets(tx *bbolt.Tx, cid cidSDK.ID, treeID string)
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return bLog, bData, nil
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}
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func (t *boltForest) applyOperation(logBucket, treeBucket *bbolt.Bucket, lm *LogMove) error {
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// applyOperations applies log operations. Assumes lm are sorted by timestamp.
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func (t *boltForest) applyOperation(logBucket, treeBucket *bbolt.Bucket, ms []*Move, lm *LogMove) error {
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var tmp LogMove
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var cKey [17]byte
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var logKey [8]byte
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binary.BigEndian.PutUint64(logKey[:], lm.Time)
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if logBucket.Get(logKey[:]) != nil {
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return nil
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}
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c := logBucket.Cursor()
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key, value := c.Last()
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@ -369,43 +418,42 @@ func (t *boltForest) applyOperation(logBucket, treeBucket *bbolt.Bucket, lm *Log
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r := io.NewBinReaderFromIO(b)
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// 1. Undo up until the desired timestamp is here.
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for len(key) == 8 && binary.BigEndian.Uint64(key) > lm.Time {
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for len(key) == 8 && ms[0].Time < binary.BigEndian.Uint64(key) {
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b.Reset(value)
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if err := t.logFromBytes(&tmp, r); err != nil {
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return err
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}
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if err := t.undo(&tmp.Move, &tmp, treeBucket, cKey[:]); err != nil {
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if err := t.undo(&tmp, treeBucket, cKey[:]); err != nil {
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return err
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}
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key, value = c.Prev()
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}
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key, _ = c.Next()
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for i := 0; i < len(ms); i++ {
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// Loop invariant: key represents the next stored timestamp after ms[i].Time.
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// 2. Insert the operation.
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if len(key) != 8 || binary.BigEndian.Uint64(key) != lm.Time {
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// 2. Insert the operation.
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lm.Move = *ms[i]
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if err := t.do(logBucket, treeBucket, cKey[:], lm); err != nil {
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return err
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}
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}
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if key == nil {
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// The operation is inserted in the beginning, reposition the cursor.
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// Otherwise, `Next` call will return currently inserted operation.
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c.First()
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}
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key, value = c.Seek(key)
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// 3. Re-apply all other operations.
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for len(key) == 8 {
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b.Reset(value)
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if err := t.logFromBytes(&tmp, r); err != nil {
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return err
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}
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if err := t.do(logBucket, treeBucket, cKey[:], &tmp); err != nil {
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return err
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}
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// Cursor can be invalid, seek again.
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binary.BigEndian.PutUint64(cKey[:], lm.Time)
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_, _ = c.Seek(cKey[:8])
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key, value = c.Next()
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// 3. Re-apply all other operations.
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for len(key) == 8 && (i == len(ms)-1 || binary.BigEndian.Uint64(key) < ms[i+1].Time) {
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b.Reset(value)
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if err := t.logFromBytes(&tmp, r); err != nil {
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return err
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}
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if err := t.do(logBucket, treeBucket, cKey[:], &tmp); err != nil {
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return err
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}
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key, value = c.Next()
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}
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}
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return nil
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@ -511,15 +559,15 @@ func (t *boltForest) addNode(b *bbolt.Bucket, key []byte, child, parent Node, me
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return nil
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}
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func (t *boltForest) undo(m *Move, lm *LogMove, b *bbolt.Bucket, key []byte) error {
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func (t *boltForest) undo(m *LogMove, b *bbolt.Bucket, key []byte) error {
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if err := b.Delete(childrenKey(key, m.Child, m.Parent)); err != nil {
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return err
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}
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if !lm.HasOld {
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if !m.HasOld {
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return t.removeNode(b, key, m.Child, m.Parent)
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}
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return t.addNode(b, key, m.Child, lm.Old.Parent, lm.Old.Meta)
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return t.addNode(b, key, m.Child, m.Old.Parent, m.Old.Meta)
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}
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func (t *boltForest) isAncestor(b *bbolt.Bucket, parent, child Node) bool {
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@ -6,6 +6,7 @@ import (
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"os"
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"path/filepath"
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"strconv"
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"sync"
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"testing"
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cidSDK "github.com/TrueCloudLab/frostfs-sdk-go/container/id"
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@ -16,9 +17,9 @@ import (
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var providers = []struct {
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name string
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construct func(t testing.TB) Forest
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construct func(t testing.TB, opts ...Option) Forest
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}{
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{"inmemory", func(t testing.TB) Forest {
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{"inmemory", func(t testing.TB, _ ...Option) Forest {
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f := NewMemoryForest()
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require.NoError(t, f.Open(false))
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require.NoError(t, f.Init())
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@ -28,14 +29,15 @@ var providers = []struct {
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return f
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}},
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{"bbolt", func(t testing.TB) Forest {
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{"bbolt", func(t testing.TB, opts ...Option) Forest {
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// Use `os.TempDir` because we construct multiple times in the same test.
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tmpDir, err := os.MkdirTemp(os.TempDir(), "*")
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require.NoError(t, err)
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f := NewBoltForest(
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WithPath(filepath.Join(tmpDir, "test.db")),
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WithMaxBatchSize(1))
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append([]Option{
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WithPath(filepath.Join(tmpDir, "test.db")),
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WithMaxBatchSize(1)}, opts...)...)
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require.NoError(t, f.Open(false))
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require.NoError(t, f.Init())
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t.Cleanup(func() {
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@ -407,7 +409,7 @@ func TestForest_Apply(t *testing.T) {
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}
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}
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func testForestTreeApply(t *testing.T, constructor func(t testing.TB) Forest) {
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func testForestTreeApply(t *testing.T, constructor func(t testing.TB, _ ...Option) Forest) {
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cid := cidtest.ID()
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d := CIDDescriptor{cid, 0, 1}
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treeID := "version"
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@ -461,7 +463,7 @@ func TestForest_GetOpLog(t *testing.T) {
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}
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}
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func testForestTreeGetOpLog(t *testing.T, constructor func(t testing.TB) Forest) {
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func testForestTreeGetOpLog(t *testing.T, constructor func(t testing.TB, _ ...Option) Forest) {
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cid := cidtest.ID()
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d := CIDDescriptor{cid, 0, 1}
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treeID := "version"
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@ -520,7 +522,7 @@ func TestForest_TreeExists(t *testing.T) {
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}
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}
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func testForestTreeExists(t *testing.T, constructor func(t testing.TB) Forest) {
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func testForestTreeExists(t *testing.T, constructor func(t testing.TB, opts ...Option) Forest) {
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s := constructor(t)
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checkExists := func(t *testing.T, expected bool, cid cidSDK.ID, treeID string) {
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@ -654,20 +656,20 @@ func TestForest_ApplyRandom(t *testing.T) {
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}
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}
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func testForestTreeApplyRandom(t *testing.T, constructor func(t testing.TB) Forest) {
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rand.Seed(42)
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const (
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nodeCount = 5
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opCount = 20
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iterCount = 200
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)
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cid := cidtest.ID()
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d := CIDDescriptor{cid, 0, 1}
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treeID := "version"
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expected := constructor(t)
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func TestForest_ParallelApply(t *testing.T) {
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for i := range providers {
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if providers[i].name == "inmemory" {
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continue
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}
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t.Run(providers[i].name, func(t *testing.T) {
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testForestTreeParallelApply(t, providers[i].construct, 8, 128, 10)
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})
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}
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}
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// prepareRandomTree creates a random sequence of operation and applies them to tree.
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// The operations are guaranteed to be applied and returned sorted by `Time`.
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func prepareRandomTree(nodeCount, opCount int) []Move {
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ops := make([]Move, nodeCount+opCount)
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for i := 0; i < nodeCount; i++ {
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ops[i] = Move{
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@ -686,7 +688,7 @@ func testForestTreeApplyRandom(t *testing.T, constructor func(t testing.TB) Fore
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for i := nodeCount; i < len(ops); i++ {
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ops[i] = Move{
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Parent: rand.Uint64() % (nodeCount + 12),
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Parent: rand.Uint64() % uint64(nodeCount+12),
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Meta: Meta{
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Time: Timestamp(i + nodeCount),
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Items: []KeyValue{
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@ -694,17 +696,111 @@ func testForestTreeApplyRandom(t *testing.T, constructor func(t testing.TB) Fore
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{Value: make([]byte, 10)},
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},
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},
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Child: rand.Uint64() % (nodeCount + 10),
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Child: rand.Uint64() % uint64(nodeCount+10),
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}
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if rand.Uint32()%5 == 0 {
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ops[i].Parent = TrashID
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}
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rand.Read(ops[i].Meta.Items[1].Value)
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}
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return ops
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}
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func compareForests(t *testing.T, expected, actual Forest, cid cidSDK.ID, treeID string, nodeCount int) {
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for i := uint64(0); i < uint64(nodeCount); i++ {
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expectedMeta, expectedParent, err := expected.TreeGetMeta(cid, treeID, i)
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require.NoError(t, err)
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actualMeta, actualParent, err := actual.TreeGetMeta(cid, treeID, i)
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require.NoError(t, err)
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require.Equal(t, expectedParent, actualParent, "node id: %d", i)
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require.Equal(t, expectedMeta, actualMeta, "node id: %d", i)
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if ma, ok := actual.(*memoryForest); ok {
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me := expected.(*memoryForest)
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require.Equal(t, len(me.treeMap), len(ma.treeMap))
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for k, sa := range ma.treeMap {
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se, ok := me.treeMap[k]
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require.True(t, ok)
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require.Equal(t, se.operations, sa.operations)
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require.Equal(t, se.infoMap, sa.infoMap)
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require.Equal(t, len(se.childMap), len(sa.childMap))
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for ck, la := range sa.childMap {
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le, ok := se.childMap[ck]
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require.True(t, ok)
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require.ElementsMatch(t, le, la)
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}
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}
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require.Equal(t, expected, actual, i)
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}
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}
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}
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func testForestTreeParallelApply(t *testing.T, constructor func(t testing.TB, _ ...Option) Forest, batchSize, opCount, iterCount int) {
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rand.Seed(42)
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const nodeCount = 5
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ops := prepareRandomTree(nodeCount, opCount)
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cid := cidtest.ID()
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d := CIDDescriptor{cid, 0, 1}
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treeID := "version"
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expected := constructor(t)
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for i := range ops {
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require.NoError(t, expected.TreeApply(d, treeID, &ops[i], false))
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}
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for i := 0; i < iterCount; i++ {
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// Shuffle random operations, leave initialization in place.
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rand.Shuffle(len(ops), func(i, j int) { ops[i], ops[j] = ops[j], ops[i] })
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actual := constructor(t, WithMaxBatchSize(batchSize))
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wg := new(sync.WaitGroup)
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ch := make(chan *Move, 0)
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for i := 0; i < batchSize; i++ {
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wg.Add(1)
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go func() {
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defer wg.Done()
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for op := range ch {
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require.NoError(t, actual.TreeApply(d, treeID, op, false))
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}
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}()
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}
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for i := range ops {
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ch <- &ops[i]
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}
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close(ch)
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wg.Wait()
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compareForests(t, expected, actual, cid, treeID, nodeCount)
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}
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}
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func testForestTreeApplyRandom(t *testing.T, constructor func(t testing.TB, _ ...Option) Forest) {
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rand.Seed(42)
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const (
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nodeCount = 5
|
||||
opCount = 20
|
||||
)
|
||||
|
||||
ops := prepareRandomTree(nodeCount, opCount)
|
||||
|
||||
cid := cidtest.ID()
|
||||
d := CIDDescriptor{cid, 0, 1}
|
||||
treeID := "version"
|
||||
|
||||
expected := constructor(t)
|
||||
for i := range ops {
|
||||
require.NoError(t, expected.TreeApply(d, treeID, &ops[i], false))
|
||||
}
|
||||
|
||||
const iterCount = 200
|
||||
for i := 0; i < iterCount; i++ {
|
||||
// Shuffle random operations, leave initialization in place.
|
||||
rand.Shuffle(len(ops), func(i, j int) { ops[i], ops[j] = ops[j], ops[i] })
|
||||
|
@ -713,59 +809,39 @@ func testForestTreeApplyRandom(t *testing.T, constructor func(t testing.TB) Fore
|
|||
for i := range ops {
|
||||
require.NoError(t, actual.TreeApply(d, treeID, &ops[i], false))
|
||||
}
|
||||
for i := uint64(0); i < nodeCount; i++ {
|
||||
expectedMeta, expectedParent, err := expected.TreeGetMeta(cid, treeID, i)
|
||||
require.NoError(t, err)
|
||||
actualMeta, actualParent, err := actual.TreeGetMeta(cid, treeID, i)
|
||||
require.NoError(t, err)
|
||||
require.Equal(t, expectedParent, actualParent, "node id: %d", i)
|
||||
require.Equal(t, expectedMeta, actualMeta, "node id: %d", i)
|
||||
|
||||
if ma, ok := actual.(*memoryForest); ok {
|
||||
me := expected.(*memoryForest)
|
||||
require.Equal(t, len(me.treeMap), len(ma.treeMap))
|
||||
|
||||
for k, sa := range ma.treeMap {
|
||||
se, ok := me.treeMap[k]
|
||||
require.True(t, ok)
|
||||
require.Equal(t, se.operations, sa.operations)
|
||||
require.Equal(t, se.infoMap, sa.infoMap)
|
||||
|
||||
require.Equal(t, len(se.childMap), len(sa.childMap))
|
||||
for ck, la := range sa.childMap {
|
||||
le, ok := se.childMap[ck]
|
||||
require.True(t, ok)
|
||||
require.ElementsMatch(t, le, la)
|
||||
}
|
||||
}
|
||||
require.Equal(t, expected, actual, i)
|
||||
}
|
||||
}
|
||||
compareForests(t, expected, actual, cid, treeID, nodeCount)
|
||||
}
|
||||
}
|
||||
|
||||
const benchNodeCount = 1000
|
||||
|
||||
var batchSizes = []int{1, 2, 4, 8, 16, 32}
|
||||
|
||||
func BenchmarkApplySequential(b *testing.B) {
|
||||
for i := range providers {
|
||||
if providers[i].name == "inmemory" { // memory backend is not thread-safe
|
||||
continue
|
||||
}
|
||||
b.Run(providers[i].name, func(b *testing.B) {
|
||||
benchmarkApply(b, providers[i].construct(b), func(opCount int) []Move {
|
||||
ops := make([]Move, opCount)
|
||||
for i := range ops {
|
||||
ops[i] = Move{
|
||||
Parent: uint64(rand.Intn(benchNodeCount)),
|
||||
Meta: Meta{
|
||||
Time: Timestamp(i),
|
||||
Items: []KeyValue{{Value: []byte{0, 1, 2, 3, 4}}},
|
||||
},
|
||||
Child: uint64(rand.Intn(benchNodeCount)),
|
||||
}
|
||||
}
|
||||
return ops
|
||||
})
|
||||
for _, bs := range batchSizes {
|
||||
b.Run("batchsize="+strconv.Itoa(bs), func(b *testing.B) {
|
||||
s := providers[i].construct(b, WithMaxBatchSize(bs))
|
||||
benchmarkApply(b, s, func(opCount int) []Move {
|
||||
ops := make([]Move, opCount)
|
||||
for i := range ops {
|
||||
ops[i] = Move{
|
||||
Parent: uint64(rand.Intn(benchNodeCount)),
|
||||
Meta: Meta{
|
||||
Time: Timestamp(i),
|
||||
Items: []KeyValue{{Value: []byte{0, 1, 2, 3, 4}}},
|
||||
},
|
||||
Child: uint64(rand.Intn(benchNodeCount)),
|
||||
}
|
||||
}
|
||||
return ops
|
||||
})
|
||||
})
|
||||
}
|
||||
})
|
||||
}
|
||||
}
|
||||
|
@ -780,25 +856,30 @@ func BenchmarkApplyReorderLast(b *testing.B) {
|
|||
continue
|
||||
}
|
||||
b.Run(providers[i].name, func(b *testing.B) {
|
||||
benchmarkApply(b, providers[i].construct(b), func(opCount int) []Move {
|
||||
ops := make([]Move, opCount)
|
||||
for i := range ops {
|
||||
ops[i] = Move{
|
||||
Parent: uint64(rand.Intn(benchNodeCount)),
|
||||
Meta: Meta{
|
||||
Time: Timestamp(i),
|
||||
Items: []KeyValue{{Value: []byte{0, 1, 2, 3, 4}}},
|
||||
},
|
||||
Child: uint64(rand.Intn(benchNodeCount)),
|
||||
}
|
||||
if i != 0 && i%blockSize == 0 {
|
||||
for j := 0; j < blockSize/2; j++ {
|
||||
ops[i-j], ops[i+j-blockSize] = ops[i+j-blockSize], ops[i-j]
|
||||
for _, bs := range batchSizes {
|
||||
b.Run("batchsize="+strconv.Itoa(bs), func(b *testing.B) {
|
||||
s := providers[i].construct(b, WithMaxBatchSize(bs))
|
||||
benchmarkApply(b, s, func(opCount int) []Move {
|
||||
ops := make([]Move, opCount)
|
||||
for i := range ops {
|
||||
ops[i] = Move{
|
||||
Parent: uint64(rand.Intn(benchNodeCount)),
|
||||
Meta: Meta{
|
||||
Time: Timestamp(i),
|
||||
Items: []KeyValue{{Value: []byte{0, 1, 2, 3, 4}}},
|
||||
},
|
||||
Child: uint64(rand.Intn(benchNodeCount)),
|
||||
}
|
||||
if i != 0 && i%blockSize == 0 {
|
||||
for j := 0; j < blockSize/2; j++ {
|
||||
ops[i-j], ops[i+j-blockSize] = ops[i+j-blockSize], ops[i-j]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
return ops
|
||||
})
|
||||
return ops
|
||||
})
|
||||
})
|
||||
}
|
||||
})
|
||||
}
|
||||
}
|
||||
|
@ -810,18 +891,17 @@ func benchmarkApply(b *testing.B, s Forest, genFunc func(int) []Move) {
|
|||
cid := cidtest.ID()
|
||||
d := CIDDescriptor{cid, 0, 1}
|
||||
treeID := "version"
|
||||
ch := make(chan *Move, b.N)
|
||||
for i := range ops {
|
||||
ch <- &ops[i]
|
||||
ch := make(chan int, b.N)
|
||||
for i := 0; i < b.N; i++ {
|
||||
ch <- i
|
||||
}
|
||||
|
||||
b.ResetTimer()
|
||||
b.ReportAllocs()
|
||||
b.SetParallelism(50)
|
||||
b.SetParallelism(10)
|
||||
b.RunParallel(func(pb *testing.PB) {
|
||||
for pb.Next() {
|
||||
op := <-ch
|
||||
if err := s.TreeApply(d, treeID, op, false); err != nil {
|
||||
if err := s.TreeApply(d, treeID, &ops[<-ch], false); err != nil {
|
||||
b.Fatalf("error in `Apply`: %v", err)
|
||||
}
|
||||
}
|
||||
|
|
Loading…
Reference in a new issue