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stream.go
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stream.go
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/*
* Copyright 2018 Dgraph Labs, Inc. and Contributors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package badger
import (
"bytes"
"context"
"math"
"sync"
"sync/atomic"
"time"
"github.com/dgraph-io/badger/v3/pb"
"github.com/dgraph-io/badger/v3/y"
"github.com/dgraph-io/ristretto/z"
humanize "github.com/dustin/go-humanize"
)
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
// 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)
// 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 uint32
doneMarkers bool
scanned uint64 // used to estimate the ETA for data scan.
}
// 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) {
splits := st.db.KeySplits(st.Prefix)
// We don't need to create more key ranges than NumGo goroutines. This way, we will have limited
// number of "streams" coming out, which then helps limit the memory used by SSWriter.
{
pickEvery := int(math.Floor(float64(len(splits)) / float64(st.NumGo)))
if pickEvery < 1 {
pickEvery = 1
}
filtered := splits[:0]
for i, split := range splits {
if (i+1)%pickEvery == 0 {
filtered = append(filtered, split)
}
}
splits = filtered
}
start := y.SafeCopy(nil, st.Prefix)
for _, key := range splits {
st.rangeCh <- keyRange{left: start, right: y.SafeCopy(nil, []byte(key))}
start = y.SafeCopy(nil, []byte(key))
}
// Edge case: prefix is empty and no splits exist. In that case, we should have at least one
// keyRange output.
st.rangeCh <- keyRange{left: start}
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 {
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 = false
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 := atomic.AddUint32(&st.nextStreamId, 1)
var scanned int
sendIt := func() error {
select {
case st.kvChan <- outList:
outList = z.NewBuffer(2 * batchSize, "Stream.ProduceKVs")
atomic.AddUint64(&st.scanned, 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()
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
}
}
}
// 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)
st.db.opt.Infof("%s Streaming about %s of uncompressed data (%s on disk)\n",
st.LogPrefix, humanize.IBytes(uncompressedSize), humanize.IBytes(onDiskSize))
var bytesSent uint64
t := time.NewTicker(time.Second)
defer t.Stop()
now := time.Now()
sendBatch := func(batch *z.Buffer) error {
defer 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.Bytes(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 batch.LenNoPadding() > int(maxStreamSize) {
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)
}
outer:
for {
var batch *z.Buffer
select {
case <-ctx.Done():
return ctx.Err()
case <-t.C:
dur := time.Since(now)
durSec := uint64(dur.Seconds())
if durSec == 0 {
continue
}
speed := bytesSent / durSec
scanned := atomic.LoadUint64(&st.scanned)
st.db.opt.Infof("%s Time elapsed: %s, scanned: ~%s/%s, bytes sent: %s, speed: %s/sec,"+
"jemalloc: %s\n", st.LogPrefix, y.FixedDuration(dur), humanize.IBytes(scanned),
humanize.IBytes(uncompressedSize), y.IBytesToString(bytesSent, 1),
humanize.IBytes(speed), 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",
}
}
// 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 := kv.Unmarshal(s); err != nil {
return err
}
list.Kv = append(list.Kv, kv)
return nil
})
return &list, err
}
func KVToBuffer(kv *pb.KV, buf *z.Buffer) {
out := buf.SliceAllocate(kv.Size())
y.Check2(kv.MarshalToSizedBuffer(out))
}