Files
zeekayandHanzo Dev fe8d85d663 rename package badger -> zapdb
The module has been github.com/luxfi/zapdb for a while, but the package inside
it still declared itself badger, so every consumer had to write

	zapdb "github.com/luxfi/zapdb" // package badger

and the alias existed only to paper over the mismatch. 56 root files and the
134 qualified references inside the repo now say zapdb.

Backward compatible in both directions: an existing consumer with the alias
keeps compiling (the alias is now merely redundant), and one without it starts
compiling instead of failing on an undefined zapdb.

Directory badger/ and its cmd package are untouched — that is the CLI, and its
binary is named badger.

Build and vet clean; suite green except TestZRestore, which wants a /tmp/zb/src
benchmark fixture and fails identically without this change.

Co-authored-by: Hanzo Dev <[email protected]>
2026-07-27 14:24:18 -07:00

523 lines
16 KiB
Go

/*
* SPDX-FileCopyrightText: © 2017-2025 Istari Digital, Inc.
* SPDX-License-Identifier: Apache-2.0
*/
package zapdb
import (
"bytes"
"context"
"sort"
"sync"
"sync/atomic"
"time"
humanize "github.com/dustin/go-humanize"
"github.com/dgraph-io/ristretto/v2/z"
"github.com/luxfi/zapdb/pb"
"github.com/luxfi/zapdb/y"
)
const batchSize = 16 << 20 // 16 MB
// maxStreamSize is the maximum allowed size of a stream batch. This is a soft limit
// as a single list that is still over the limit will have to be sent as is since it
// cannot be split further. This limit prevents the framework from creating batches
// so big that sending them causes issues (e.g running into the max size gRPC limit).
var maxStreamSize = uint64(100 << 20) // 100MB
// Stream provides a framework to concurrently iterate over a snapshot of Badger, pick up
// key-values, batch them up and call Send. Stream does concurrent iteration over many smaller key
// ranges. It does NOT send keys in lexicographical sorted order. To get keys in sorted
// order, use Iterator.
type Stream struct {
// Prefix to only iterate over certain range of keys. If set to nil (default), Stream would
// iterate over the entire DB.
Prefix []byte
// Number of goroutines to use for iterating over key ranges. Defaults to 8.
NumGo int
// Badger would produce log entries in Infof to indicate the progress of Stream. LogPrefix can
// be used to help differentiate them from other activities. Default is "Badger.Stream".
LogPrefix string
// ChooseKey is invoked each time a new key is encountered. Note that this is not called
// on every version of the value, only the first encountered version (i.e. the highest version
// of the value a key has). ChooseKey can be left nil to select all keys.
//
// Note: Calls to ChooseKey are concurrent.
ChooseKey func(item *Item) bool
// MaxSize is the maximum allowed size of a stream batch. This is a soft limit
// as a single list that is still over the limit will have to be sent as is since it
// cannot be split further. This limit prevents the framework from creating batches
// so big that sending them causes issues (e.g running into the max size gRPC limit).
// If necessary, set it up before the Stream starts synchronisation
// This is not a concurrency-safe setting
MaxSize uint64
// KeyToList, similar to ChooseKey, is only invoked on the highest version of the value. It
// is upto the caller to iterate over the versions and generate zero, one or more KVs. It
// is expected that the user would advance the iterator to go through the versions of the
// values. However, the user MUST immediately return from this function on the first encounter
// with a mismatching key. See example usage in ToList function. Can be left nil to use ToList
// function by default.
//
// KeyToList has access to z.Allocator accessible via stream.Allocator(itr.ThreadId). This
// allocator can be used to allocate KVs, to decrease the memory pressure on Go GC. Stream
// framework takes care of releasing those resources after calling Send. AllocRef does
// NOT need to be set in the returned KVList, as Stream framework would ignore that field,
// instead using the allocator assigned to that thread id.
//
// Note: Calls to KeyToList are concurrent.
KeyToList func(key []byte, itr *Iterator) (*pb.KVList, error)
// UseKeyToListWithThreadId is used to indicate that KeyToListWithThreadId should be used
// instead of KeyToList. This is a new api that can be used to figure out parallelism
// of the stream. Each threadId would be run serially. KeyToList being concurrent makes you
// take care of concurrency in KeyToList. Here threadId could be used to do some things serially.
// Once a thread finishes FinishThread() would be called.
UseKeyToListWithThreadId bool
KeyToListWithThreadId func(key []byte, itr *Iterator, threadId int) (*pb.KVList, error)
FinishThread func(threadId int) (*pb.KVList, error)
// This is the method where Stream sends the final output. All calls to Send are done by a
// single goroutine, i.e. logic within Send method can expect single threaded execution.
Send func(buf *z.Buffer) error
// Read data above the sinceTs. All keys with version =< sinceTs will be ignored.
SinceTs uint64
readTs uint64
db *DB
rangeCh chan keyRange
kvChan chan *z.Buffer
nextStreamId atomic.Uint32
doneMarkers bool
scanned atomic.Uint64 // used to estimate the ETA for data scan.
numProducers atomic.Int32
}
// SendDoneMarkers when true would send out done markers on the stream. False by default.
func (st *Stream) SendDoneMarkers(done bool) {
st.doneMarkers = done
}
// ToList is a default implementation of KeyToList. It picks up all valid versions of the key,
// skipping over deleted or expired keys.
func (st *Stream) ToList(key []byte, itr *Iterator) (*pb.KVList, error) {
a := itr.Alloc
ka := a.Copy(key)
list := &pb.KVList{}
for ; itr.Valid(); itr.Next() {
item := itr.Item()
if item.IsDeletedOrExpired() {
break
}
if !bytes.Equal(key, item.Key()) {
// Break out on the first encounter with another key.
break
}
kv := y.NewKV(a)
kv.Key = ka
if err := item.Value(func(val []byte) error {
kv.Value = a.Copy(val)
return nil
}); err != nil {
return nil, err
}
kv.Version = item.Version()
kv.ExpiresAt = item.ExpiresAt()
kv.UserMeta = a.Copy([]byte{item.UserMeta()})
list.Kv = append(list.Kv, kv)
if st.db.opt.NumVersionsToKeep == 1 {
break
}
if item.DiscardEarlierVersions() {
break
}
}
return list, nil
}
// keyRange is [start, end), including start, excluding end. Do ensure that the start,
// end byte slices are owned by keyRange struct.
func (st *Stream) produceRanges(ctx context.Context) {
ranges := st.db.Ranges(st.Prefix, st.NumGo)
y.AssertTrue(len(ranges) > 0)
y.AssertTrue(ranges[0].left == nil)
y.AssertTrue(ranges[len(ranges)-1].right == nil)
st.db.opt.Infof("Number of ranges found: %d\n", len(ranges))
// Sort in descending order of size.
sort.Slice(ranges, func(i, j int) bool {
return ranges[i].size > ranges[j].size
})
for i, r := range ranges {
st.rangeCh <- *r
st.db.opt.Infof("Sent range %d for iteration: [%x, %x) of size: %s\n",
i, r.left, r.right, humanize.IBytes(uint64(r.size)))
}
close(st.rangeCh)
}
// produceKVs picks up ranges from rangeCh, generates KV lists and sends them to kvChan.
func (st *Stream) produceKVs(ctx context.Context, threadId int) error {
st.numProducers.Add(1)
defer st.numProducers.Add(-1)
var txn *Txn
if st.readTs > 0 {
txn = st.db.NewTransactionAt(st.readTs, false)
} else {
txn = st.db.NewTransaction(false)
}
defer txn.Discard()
// produceKVs is running iterate serially. So, we can define the outList here.
outList := z.NewBuffer(2*batchSize, "Stream.ProduceKVs")
defer func() {
// The outList variable changes. So, we need to evaluate the variable in the defer. DO NOT
// call `defer outList.Release()`.
_ = outList.Release()
}()
iterate := func(kr keyRange) error {
iterOpts := DefaultIteratorOptions
iterOpts.AllVersions = true
iterOpts.Prefix = st.Prefix
iterOpts.PrefetchValues = true
iterOpts.SinceTs = st.SinceTs
itr := txn.NewIterator(iterOpts)
itr.ThreadId = threadId
defer itr.Close()
itr.Alloc = z.NewAllocator(1<<20, "Stream.Iterate")
defer itr.Alloc.Release()
// This unique stream id is used to identify all the keys from this iteration.
streamId := st.nextStreamId.Add(1)
var scanned int
sendIt := func() error {
select {
case st.kvChan <- outList:
outList = z.NewBuffer(2*batchSize, "Stream.ProduceKVs")
st.scanned.Add(uint64(itr.scanned - scanned))
scanned = itr.scanned
case <-ctx.Done():
return ctx.Err()
}
return nil
}
var prevKey []byte
for itr.Seek(kr.left); itr.Valid(); {
// it.Valid would only return true for keys with the provided Prefix in iterOpts.
item := itr.Item()
if bytes.Equal(item.Key(), prevKey) {
itr.Next()
continue
}
prevKey = append(prevKey[:0], item.Key()...)
// Check if we reached the end of the key range.
if len(kr.right) > 0 && bytes.Compare(item.Key(), kr.right) >= 0 {
break
}
// Check if we should pick this key.
if st.ChooseKey != nil && !st.ChooseKey(item) {
continue
}
// Now convert to key value.
itr.Alloc.Reset()
var list *pb.KVList
var err error
if st.UseKeyToListWithThreadId {
list, err = st.KeyToListWithThreadId(item.KeyCopy(nil), itr, threadId)
} else {
list, err = st.KeyToList(item.KeyCopy(nil), itr)
}
if err != nil {
st.db.opt.Warningf("While reading key: %x, got error: %v", item.Key(), err)
continue
}
if list == nil || len(list.Kv) == 0 {
continue
}
for _, kv := range list.Kv {
kv.StreamId = streamId
KVToBuffer(kv, outList)
if outList.LenNoPadding() < batchSize {
continue
}
if err := sendIt(); err != nil {
return err
}
}
}
if st.UseKeyToListWithThreadId {
if kvs, err := st.FinishThread(threadId); err != nil {
return err
} else {
for _, kv := range kvs.Kv {
kv.StreamId = streamId
KVToBuffer(kv, outList)
if outList.LenNoPadding() < batchSize {
continue
}
if err := sendIt(); err != nil {
return err
}
}
}
}
// Mark the stream as done.
if st.doneMarkers {
kv := &pb.KV{
StreamId: streamId,
StreamDone: true,
}
KVToBuffer(kv, outList)
}
return sendIt()
}
for {
select {
case kr, ok := <-st.rangeCh:
if !ok {
// Done with the keys.
return nil
}
if err := iterate(kr); err != nil {
return err
}
case <-ctx.Done():
return ctx.Err()
}
}
}
func (st *Stream) streamKVs(ctx context.Context) error {
onDiskSize, uncompressedSize := st.db.EstimateSize(st.Prefix)
// Manish has seen uncompressed size to be in 20% error margin.
uncompressedSize = uint64(float64(uncompressedSize) * 1.2)
st.db.opt.Infof("%s Streaming about %s of uncompressed data (%s on disk)\n",
st.LogPrefix, humanize.IBytes(uncompressedSize), humanize.IBytes(onDiskSize))
tickerDur := 5 * time.Second
var bytesSent uint64
t := time.NewTicker(tickerDur)
defer t.Stop()
now := time.Now()
sendBatch := func(batch *z.Buffer) error {
defer func() { _ = batch.Release() }()
sz := uint64(batch.LenNoPadding())
if sz == 0 {
return nil
}
bytesSent += sz
// st.db.opt.Infof("%s Sending batch of size: %s.\n", st.LogPrefix, humanize.IBytes(sz))
if err := st.Send(batch); err != nil {
st.db.opt.Warningf("Error while sending: %v\n", err)
return err
}
return nil
}
slurp := func(batch *z.Buffer) error {
loop:
for {
// Send the batch immediately if it already exceeds the maximum allowed size.
// If the size of the batch exceeds maxStreamSize, break from the loop to
// avoid creating a batch that is so big that certain limits are reached.
if uint64(batch.LenNoPadding()) > st.MaxSize {
break loop
}
select {
case kvs, ok := <-st.kvChan:
if !ok {
break loop
}
y.AssertTrue(kvs != nil)
y.Check2(batch.Write(kvs.Bytes()))
y.Check(kvs.Release())
default:
break loop
}
}
return sendBatch(batch)
} // end of slurp.
writeRate := y.NewRateMonitor(20)
scanRate := y.NewRateMonitor(20)
outer:
for {
var batch *z.Buffer
select {
case <-ctx.Done():
return ctx.Err()
case <-t.C:
// Instead of calculating speed over the entire lifetime, we average the speed over
// ticker duration.
writeRate.Capture(bytesSent)
scanned := st.scanned.Load()
scanRate.Capture(scanned)
numProducers := st.numProducers.Load()
st.db.opt.Infof("%s [%s] Scan (%d): ~%s/%s at %s/sec. Sent: %s at %s/sec."+
" jemalloc: %s\n",
st.LogPrefix, y.FixedDuration(time.Since(now)), numProducers,
y.IBytesToString(scanned, 1), humanize.IBytes(uncompressedSize),
humanize.IBytes(scanRate.Rate()),
y.IBytesToString(bytesSent, 1), humanize.IBytes(writeRate.Rate()),
humanize.IBytes(uint64(z.NumAllocBytes())))
case kvs, ok := <-st.kvChan:
if !ok {
break outer
}
y.AssertTrue(kvs != nil)
batch = kvs
// Otherwise, slurp more keys into this batch.
if err := slurp(batch); err != nil {
return err
}
}
}
st.db.opt.Infof("%s Sent data of size %s\n", st.LogPrefix, humanize.IBytes(bytesSent))
return nil
}
// Orchestrate runs Stream. It picks up ranges from the SSTables, then runs NumGo number of
// goroutines to iterate over these ranges and batch up KVs in lists. It concurrently runs a single
// goroutine to pick these lists, batch them up further and send to Output.Send. Orchestrate also
// spits logs out to Infof, using provided LogPrefix. Note that all calls to Output.Send
// are serial. In case any of these steps encounter an error, Orchestrate would stop execution and
// return that error. Orchestrate can be called multiple times, but in serial order.
func (st *Stream) Orchestrate(ctx context.Context) error {
ctx, cancel := context.WithCancel(ctx)
defer cancel()
st.rangeCh = make(chan keyRange, 3) // Contains keys for posting lists.
// kvChan should only have a small capacity to ensure that we don't buffer up too much data if
// sending is slow. Page size is set to 4MB, which is used to lazily cap the size of each
// KVList. To get 128MB buffer, we can set the channel size to 32.
st.kvChan = make(chan *z.Buffer, 32)
if st.KeyToList == nil {
st.KeyToList = st.ToList
}
// Picks up ranges from Badger, and sends them to rangeCh.
go st.produceRanges(ctx)
errCh := make(chan error, st.NumGo) // Stores error by consumeKeys.
var wg sync.WaitGroup
for i := 0; i < st.NumGo; i++ {
wg.Add(1)
go func(threadId int) {
defer wg.Done()
// Picks up ranges from rangeCh, generates KV lists, and sends them to kvChan.
if err := st.produceKVs(ctx, threadId); err != nil {
select {
case errCh <- err:
default:
}
}
}(i)
}
// Pick up key-values from kvChan and send to stream.
kvErr := make(chan error, 1)
go func() {
// Picks up KV lists from kvChan, and sends them to Output.
err := st.streamKVs(ctx)
if err != nil {
cancel() // Stop all the go routines.
}
kvErr <- err
}()
wg.Wait() // Wait for produceKVs to be over.
close(st.kvChan) // Now we can close kvChan.
defer func() {
// If due to some error, we have buffers left in kvChan, we should release them.
for buf := range st.kvChan {
_ = buf.Release()
}
}()
select {
case err := <-errCh: // Check error from produceKVs.
return err
default:
}
// Wait for key streaming to be over.
err := <-kvErr
return err
}
func (db *DB) newStream() *Stream {
return &Stream{
db: db,
NumGo: db.opt.NumGoroutines,
LogPrefix: "Badger.Stream",
MaxSize: maxStreamSize,
}
}
// NewStream creates a new Stream.
func (db *DB) NewStream() *Stream {
if db.opt.managedTxns {
panic("This API can not be called in managed mode.")
}
return db.newStream()
}
// NewStreamAt creates a new Stream at a particular timestamp. Should only be used with managed DB.
func (db *DB) NewStreamAt(readTs uint64) *Stream {
if !db.opt.managedTxns {
panic("This API can only be called in managed mode.")
}
stream := db.newStream()
stream.readTs = readTs
return stream
}
func BufferToKVList(buf *z.Buffer) (*pb.KVList, error) {
var list pb.KVList
err := buf.SliceIterate(func(s []byte) error {
kv := new(pb.KV)
if err := pb.Unmarshal(s, kv); err != nil {
return err
}
list.Kv = append(list.Kv, kv)
return nil
})
return &list, err
}
func KVToBuffer(kv *pb.KV, buf *z.Buffer) {
in := buf.SliceAllocate(pb.Size(kv))[:0]
_, err := pb.MarshalOptions{}.MarshalAppend(in, kv)
y.AssertTrue(err == nil)
}