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* Optimize Stream Framework so we run with the number of allocated producers for the entirety of the stream. We achieve this by creating double the number of ranges than the number of goroutines. We create these ranges by grouping up ranges derived from splits in a way that they're similar in data size that needs to be scanned.
492 lines
14 KiB
Go
492 lines
14 KiB
Go
/*
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* Copyright 2018 Dgraph Labs, Inc. and Contributors
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package badger
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import (
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"bytes"
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"context"
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"sort"
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"sync"
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"sync/atomic"
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"time"
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"github.com/dgraph-io/badger/v3/pb"
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"github.com/dgraph-io/badger/v3/y"
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"github.com/dgraph-io/ristretto/z"
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humanize "github.com/dustin/go-humanize"
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)
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const batchSize = 16 << 20 // 16 MB
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// maxStreamSize is the maximum allowed size of a stream batch. This is a soft limit
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// as a single list that is still over the limit will have to be sent as is since it
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// cannot be split further. This limit prevents the framework from creating batches
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// so big that sending them causes issues (e.g running into the max size gRPC limit).
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var maxStreamSize = uint64(100 << 20) // 100MB
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// Stream provides a framework to concurrently iterate over a snapshot of Badger, pick up
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// key-values, batch them up and call Send. Stream does concurrent iteration over many smaller key
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// ranges. It does NOT send keys in lexicographical sorted order. To get keys in sorted
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// order, use Iterator.
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type Stream struct {
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// Prefix to only iterate over certain range of keys. If set to nil (default), Stream would
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// iterate over the entire DB.
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Prefix []byte
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// Number of goroutines to use for iterating over key ranges. Defaults to 8.
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NumGo int
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// Badger would produce log entries in Infof to indicate the progress of Stream. LogPrefix can
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// be used to help differentiate them from other activities. Default is "Badger.Stream".
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LogPrefix string
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// ChooseKey is invoked each time a new key is encountered. Note that this is not called
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// on every version of the value, only the first encountered version (i.e. the highest version
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// of the value a key has). ChooseKey can be left nil to select all keys.
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//
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// Note: Calls to ChooseKey are concurrent.
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ChooseKey func(item *Item) bool
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// KeyToList, similar to ChooseKey, is only invoked on the highest version of the value. It
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// is upto the caller to iterate over the versions and generate zero, one or more KVs. It
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// is expected that the user would advance the iterator to go through the versions of the
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// values. However, the user MUST immediately return from this function on the first encounter
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// with a mismatching key. See example usage in ToList function. Can be left nil to use ToList
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// function by default.
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//
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// KeyToList has access to z.Allocator accessible via stream.Allocator(itr.ThreadId). This
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// allocator can be used to allocate KVs, to decrease the memory pressure on Go GC. Stream
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// framework takes care of releasing those resources after calling Send. AllocRef does
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// NOT need to be set in the returned KVList, as Stream framework would ignore that field,
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// instead using the allocator assigned to that thread id.
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//
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// Note: Calls to KeyToList are concurrent.
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KeyToList func(key []byte, itr *Iterator) (*pb.KVList, error)
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// This is the method where Stream sends the final output. All calls to Send are done by a
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// single goroutine, i.e. logic within Send method can expect single threaded execution.
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Send func(buf *z.Buffer) error
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// Read data above the sinceTs. All keys with version =< sinceTs will be ignored.
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SinceTs uint64
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readTs uint64
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db *DB
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rangeCh chan keyRange
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kvChan chan *z.Buffer
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nextStreamId uint32
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doneMarkers bool
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scanned uint64 // used to estimate the ETA for data scan.
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numProducers int32
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}
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// SendDoneMarkers when true would send out done markers on the stream. False by default.
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func (st *Stream) SendDoneMarkers(done bool) {
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st.doneMarkers = done
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}
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// ToList is a default implementation of KeyToList. It picks up all valid versions of the key,
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// skipping over deleted or expired keys.
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func (st *Stream) ToList(key []byte, itr *Iterator) (*pb.KVList, error) {
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a := itr.Alloc
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ka := a.Copy(key)
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list := &pb.KVList{}
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for ; itr.Valid(); itr.Next() {
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item := itr.Item()
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if item.IsDeletedOrExpired() {
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break
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}
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if !bytes.Equal(key, item.Key()) {
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// Break out on the first encounter with another key.
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break
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}
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kv := y.NewKV(a)
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kv.Key = ka
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if err := item.Value(func(val []byte) error {
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kv.Value = a.Copy(val)
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return nil
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}); err != nil {
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return nil, err
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}
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kv.Version = item.Version()
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kv.ExpiresAt = item.ExpiresAt()
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kv.UserMeta = a.Copy([]byte{item.UserMeta()})
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list.Kv = append(list.Kv, kv)
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if st.db.opt.NumVersionsToKeep == 1 {
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break
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}
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if item.DiscardEarlierVersions() {
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break
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}
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}
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return list, nil
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}
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// keyRange is [start, end), including start, excluding end. Do ensure that the start,
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// end byte slices are owned by keyRange struct.
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func (st *Stream) produceRanges(ctx context.Context) {
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ranges := st.db.Ranges(st.Prefix, 16)
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y.AssertTrue(len(ranges) > 0)
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y.AssertTrue(ranges[0].left == nil)
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y.AssertTrue(ranges[len(ranges)-1].right == nil)
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st.db.opt.Infof("Number of ranges found: %d\n", len(ranges))
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// Sort in descending order of size.
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sort.Slice(ranges, func(i, j int) bool {
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return ranges[i].size > ranges[j].size
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})
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for i, r := range ranges {
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st.rangeCh <- *r
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st.db.opt.Infof("Sent range %d for iteration: [%x, %x) of size: %s\n",
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i, r.left, r.right, humanize.IBytes(uint64(r.size)))
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}
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close(st.rangeCh)
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}
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// produceKVs picks up ranges from rangeCh, generates KV lists and sends them to kvChan.
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func (st *Stream) produceKVs(ctx context.Context, threadId int) error {
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atomic.AddInt32(&st.numProducers, 1)
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defer atomic.AddInt32(&st.numProducers, -1)
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var txn *Txn
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if st.readTs > 0 {
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txn = st.db.NewTransactionAt(st.readTs, false)
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} else {
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txn = st.db.NewTransaction(false)
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}
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defer txn.Discard()
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// produceKVs is running iterate serially. So, we can define the outList here.
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outList := z.NewBuffer(2*batchSize, "Stream.ProduceKVs")
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defer func() {
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// The outList variable changes. So, we need to evaluate the variable in the defer. DO NOT
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// call `defer outList.Release()`.
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outList.Release()
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}()
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iterate := func(kr keyRange) error {
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iterOpts := DefaultIteratorOptions
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iterOpts.AllVersions = true
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iterOpts.Prefix = st.Prefix
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iterOpts.PrefetchValues = false
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iterOpts.SinceTs = st.SinceTs
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itr := txn.NewIterator(iterOpts)
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itr.ThreadId = threadId
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defer itr.Close()
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itr.Alloc = z.NewAllocator(1<<20, "Stream.Iterate")
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defer itr.Alloc.Release()
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// This unique stream id is used to identify all the keys from this iteration.
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streamId := atomic.AddUint32(&st.nextStreamId, 1)
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var scanned int
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sendIt := func() error {
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select {
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case st.kvChan <- outList:
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outList = z.NewBuffer(2*batchSize, "Stream.ProduceKVs")
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atomic.AddUint64(&st.scanned, uint64(itr.scanned-scanned))
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scanned = itr.scanned
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case <-ctx.Done():
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return ctx.Err()
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}
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return nil
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}
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var prevKey []byte
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for itr.Seek(kr.left); itr.Valid(); {
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// it.Valid would only return true for keys with the provided Prefix in iterOpts.
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item := itr.Item()
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if bytes.Equal(item.Key(), prevKey) {
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itr.Next()
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continue
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}
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prevKey = append(prevKey[:0], item.Key()...)
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// Check if we reached the end of the key range.
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if len(kr.right) > 0 && bytes.Compare(item.Key(), kr.right) >= 0 {
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break
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}
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// Check if we should pick this key.
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if st.ChooseKey != nil && !st.ChooseKey(item) {
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continue
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}
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// Now convert to key value.
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itr.Alloc.Reset()
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list, err := st.KeyToList(item.KeyCopy(nil), itr)
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if err != nil {
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st.db.opt.Warningf("While reading key: %x, got error: %v", item.Key(), err)
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continue
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}
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if list == nil || len(list.Kv) == 0 {
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continue
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}
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for _, kv := range list.Kv {
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kv.StreamId = streamId
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KVToBuffer(kv, outList)
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if outList.LenNoPadding() < batchSize {
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continue
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}
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if err := sendIt(); err != nil {
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return err
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}
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}
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}
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// Mark the stream as done.
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if st.doneMarkers {
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kv := &pb.KV{
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StreamId: streamId,
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StreamDone: true,
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}
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KVToBuffer(kv, outList)
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}
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return sendIt()
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}
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for {
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select {
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case kr, ok := <-st.rangeCh:
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if !ok {
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// Done with the keys.
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return nil
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}
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if err := iterate(kr); err != nil {
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return err
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}
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case <-ctx.Done():
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return ctx.Err()
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}
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}
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}
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func (st *Stream) streamKVs(ctx context.Context) error {
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onDiskSize, uncompressedSize := st.db.EstimateSize(st.Prefix)
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// Manish has seen uncompressed size to be in 20% error margin.
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uncompressedSize = uint64(float64(uncompressedSize) * 1.2)
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st.db.opt.Infof("%s Streaming about %s of uncompressed data (%s on disk)\n",
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st.LogPrefix, humanize.IBytes(uncompressedSize), humanize.IBytes(onDiskSize))
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tickerDur := 5 * time.Second
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var bytesSent uint64
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t := time.NewTicker(tickerDur)
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defer t.Stop()
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now := time.Now()
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sendBatch := func(batch *z.Buffer) error {
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defer batch.Release()
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sz := uint64(batch.LenNoPadding())
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if sz == 0 {
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return nil
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}
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bytesSent += sz
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// st.db.opt.Infof("%s Sending batch of size: %s.\n", st.LogPrefix, humanize.IBytes(sz))
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if err := st.Send(batch); err != nil {
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st.db.opt.Warningf("Error while sending: %v\n", err)
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return err
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}
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return nil
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}
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slurp := func(batch *z.Buffer) error {
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loop:
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for {
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// Send the batch immediately if it already exceeds the maximum allowed size.
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// If the size of the batch exceeds maxStreamSize, break from the loop to
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// avoid creating a batch that is so big that certain limits are reached.
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if batch.LenNoPadding() > int(maxStreamSize) {
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break loop
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}
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select {
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case kvs, ok := <-st.kvChan:
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if !ok {
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break loop
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}
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y.AssertTrue(kvs != nil)
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y.Check2(batch.Write(kvs.Bytes()))
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y.Check(kvs.Release())
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default:
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break loop
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}
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}
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return sendBatch(batch)
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} // end of slurp.
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writeRate := y.NewRateMonitor(20)
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scanRate := y.NewRateMonitor(20)
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outer:
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for {
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var batch *z.Buffer
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select {
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case <-ctx.Done():
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return ctx.Err()
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case <-t.C:
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// Instead of calculating speed over the entire lifetime, we average the speed over
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// ticker duration.
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writeRate.Capture(bytesSent)
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scanned := atomic.LoadUint64(&st.scanned)
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scanRate.Capture(scanned)
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numProducers := atomic.LoadInt32(&st.numProducers)
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st.db.opt.Infof("%s [%s] Scan (%d): ~%s/%s at %s/sec. Sent: %s at %s/sec."+
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" jemalloc: %s\n",
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st.LogPrefix, y.FixedDuration(time.Since(now)), numProducers,
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y.IBytesToString(scanned, 1), humanize.IBytes(uncompressedSize),
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humanize.IBytes(scanRate.Rate()),
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y.IBytesToString(bytesSent, 1), humanize.IBytes(writeRate.Rate()),
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humanize.IBytes(uint64(z.NumAllocBytes())))
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case kvs, ok := <-st.kvChan:
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if !ok {
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break outer
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}
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y.AssertTrue(kvs != nil)
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batch = kvs
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// Otherwise, slurp more keys into this batch.
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if err := slurp(batch); err != nil {
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return err
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}
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}
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}
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st.db.opt.Infof("%s Sent data of size %s\n", st.LogPrefix, humanize.IBytes(bytesSent))
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return nil
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}
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// Orchestrate runs Stream. It picks up ranges from the SSTables, then runs NumGo number of
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// goroutines to iterate over these ranges and batch up KVs in lists. It concurrently runs a single
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// goroutine to pick these lists, batch them up further and send to Output.Send. Orchestrate also
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// spits logs out to Infof, using provided LogPrefix. Note that all calls to Output.Send
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// are serial. In case any of these steps encounter an error, Orchestrate would stop execution and
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// return that error. Orchestrate can be called multiple times, but in serial order.
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func (st *Stream) Orchestrate(ctx context.Context) error {
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ctx, cancel := context.WithCancel(ctx)
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defer cancel()
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st.rangeCh = make(chan keyRange, 3) // Contains keys for posting lists.
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// kvChan should only have a small capacity to ensure that we don't buffer up too much data if
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// sending is slow. Page size is set to 4MB, which is used to lazily cap the size of each
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// KVList. To get 128MB buffer, we can set the channel size to 32.
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st.kvChan = make(chan *z.Buffer, 32)
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if st.KeyToList == nil {
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st.KeyToList = st.ToList
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}
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// Picks up ranges from Badger, and sends them to rangeCh.
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go st.produceRanges(ctx)
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errCh := make(chan error, st.NumGo) // Stores error by consumeKeys.
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var wg sync.WaitGroup
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for i := 0; i < st.NumGo; i++ {
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wg.Add(1)
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go func(threadId int) {
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defer wg.Done()
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// Picks up ranges from rangeCh, generates KV lists, and sends them to kvChan.
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if err := st.produceKVs(ctx, threadId); err != nil {
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select {
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case errCh <- err:
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default:
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}
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}
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}(i)
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}
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// Pick up key-values from kvChan and send to stream.
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kvErr := make(chan error, 1)
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go func() {
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// Picks up KV lists from kvChan, and sends them to Output.
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err := st.streamKVs(ctx)
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if err != nil {
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cancel() // Stop all the go routines.
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}
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kvErr <- err
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}()
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wg.Wait() // Wait for produceKVs to be over.
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close(st.kvChan) // Now we can close kvChan.
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defer func() {
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// If due to some error, we have buffers left in kvChan, we should release them.
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for buf := range st.kvChan {
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buf.Release()
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}
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}()
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select {
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case err := <-errCh: // Check error from produceKVs.
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return err
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default:
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}
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// Wait for key streaming to be over.
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err := <-kvErr
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return err
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}
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func (db *DB) newStream() *Stream {
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return &Stream{
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db: db,
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NumGo: db.opt.NumGoroutines,
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LogPrefix: "Badger.Stream",
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}
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}
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// NewStream creates a new Stream.
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func (db *DB) NewStream() *Stream {
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if db.opt.managedTxns {
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panic("This API can not be called in managed mode.")
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}
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return db.newStream()
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}
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// NewStreamAt creates a new Stream at a particular timestamp. Should only be used with managed DB.
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func (db *DB) NewStreamAt(readTs uint64) *Stream {
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if !db.opt.managedTxns {
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panic("This API can only be called in managed mode.")
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}
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stream := db.newStream()
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stream.readTs = readTs
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return stream
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}
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func BufferToKVList(buf *z.Buffer) (*pb.KVList, error) {
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var list pb.KVList
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err := buf.SliceIterate(func(s []byte) error {
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kv := new(pb.KV)
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if err := kv.Unmarshal(s); err != nil {
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return err
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}
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list.Kv = append(list.Kv, kv)
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return nil
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})
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return &list, err
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}
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func KVToBuffer(kv *pb.KV, buf *z.Buffer) {
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out := buf.SliceAllocate(kv.Size())
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y.Check2(kv.MarshalToSizedBuffer(out))
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}
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