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The same variables were being across multiple badger commands. The
default value of a flag that uses the same variable across two commands
could be from one of the commands and it isn't clear which default value
would be used.
The numVersions command was being used in flatten (default value 1)
and stream (default value 0). Running badger stream --help would show
the default value to be 0 but if you print the value of the
numVersions variable, it would turn out to be 1. This is misleading.
This PR separates the variable so that they don't overlap.
This PR also adds the compression flag to the flatten tool.
(cherry picked from commit bd5a05befc)
Co-authored-by: Ibrahim Jarif <[email protected]>
245 lines
6.5 KiB
Go
245 lines
6.5 KiB
Go
/*
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* Copyright 2019 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 cmd
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import (
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"context"
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"fmt"
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"math"
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"math/rand"
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"sync/atomic"
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"time"
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humanize "github.com/dustin/go-humanize"
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"github.com/pkg/errors"
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"github.com/spf13/cobra"
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"github.com/dgraph-io/badger/v3"
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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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)
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var readBenchCmd = &cobra.Command{
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Use: "read",
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Short: "Read data from Badger randomly to benchmark read speed.",
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Long: `
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This command reads data from existing Badger database randomly using multiple go routines.`,
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RunE: readBench,
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}
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var (
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sizeRead uint64 // will store size read till now
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entriesRead uint64 // will store entries read till now
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startTime time.Time // start time of read benchmarking
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ro = struct {
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blockCacheSize int64
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indexCacheSize int64
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sampleSize int
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keysOnly bool
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readOnly bool
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fullScan bool
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}{}
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)
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func init() {
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benchCmd.AddCommand(readBenchCmd)
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readBenchCmd.Flags().IntVarP(
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&numGoroutines, "goroutines", "g", 16, "Number of goroutines to run for reading.")
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readBenchCmd.Flags().StringVarP(
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&duration, "duration", "d", "1m", "How long to run the benchmark.")
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readBenchCmd.Flags().IntVar(
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&ro.sampleSize, "sample-size", 1000000, "Keys sample size to be used for random lookup.")
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readBenchCmd.Flags().BoolVar(
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&ro.keysOnly, "keys-only", false, "If false, values will also be read.")
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readBenchCmd.Flags().BoolVar(
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&ro.readOnly, "read-only", true, "If true, DB will be opened in read only mode.")
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readBenchCmd.Flags().BoolVar(
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&ro.fullScan, "full-scan", false, "If true, full db will be scanned using iterators.")
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readBenchCmd.Flags().Int64Var(&ro.blockCacheSize, "block-cache", 256, "Max size of block cache in MB")
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readBenchCmd.Flags().Int64Var(&ro.indexCacheSize, "index-cache", 0, "Max size of index cache in MB")
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}
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// Scan the whole database using the iterators
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func fullScanDB(db *badger.DB) {
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txn := db.NewTransactionAt(math.MaxUint64, false)
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defer txn.Discard()
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startTime = time.Now()
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// Print the stats
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c := z.NewCloser(0)
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c.AddRunning(1)
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go printStats(c)
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it := txn.NewIterator(badger.DefaultIteratorOptions)
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defer it.Close()
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for it.Rewind(); it.Valid(); it.Next() {
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i := it.Item()
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atomic.AddUint64(&entriesRead, 1)
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atomic.AddUint64(&sizeRead, uint64(i.EstimatedSize()))
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}
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}
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func readBench(cmd *cobra.Command, args []string) error {
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rand.Seed(time.Now().Unix())
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dur, err := time.ParseDuration(duration)
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if err != nil {
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return y.Wrapf(err, "unable to parse duration")
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}
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y.AssertTrue(numGoroutines > 0)
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opt := badger.DefaultOptions(sstDir).
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WithValueDir(vlogDir).
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WithReadOnly(ro.readOnly).
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WithBlockCacheSize(ro.blockCacheSize << 20).
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WithIndexCacheSize(ro.indexCacheSize << 20)
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fmt.Printf("Opening badger with options = %+v\n", opt)
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db, err := badger.OpenManaged(opt)
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if err != nil {
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return y.Wrapf(err, "unable to open DB")
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}
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defer db.Close()
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fmt.Println("*********************************************************")
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fmt.Println("Starting to benchmark Reads")
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fmt.Println("*********************************************************")
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// if fullScan is true then do a complete scan of the db and return
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if ro.fullScan {
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fullScanDB(db)
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return nil
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}
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readTest(db, dur)
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return nil
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}
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func printStats(c *z.Closer) {
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defer c.Done()
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t := time.NewTicker(time.Second)
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defer t.Stop()
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for {
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select {
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case <-c.HasBeenClosed():
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return
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case <-t.C:
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dur := time.Since(startTime)
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sz := atomic.LoadUint64(&sizeRead)
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entries := atomic.LoadUint64(&entriesRead)
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bytesRate := sz / uint64(dur.Seconds())
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entriesRate := entries / uint64(dur.Seconds())
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fmt.Printf("Time elapsed: %s, bytes read: %s, speed: %s/sec, "+
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"entries read: %d, speed: %d/sec\n", y.FixedDuration(time.Since(startTime)),
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humanize.Bytes(sz), humanize.Bytes(bytesRate), entries, entriesRate)
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}
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}
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}
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func readKeys(db *badger.DB, c *z.Closer, keys [][]byte) {
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defer c.Done()
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r := rand.New(rand.NewSource(time.Now().Unix()))
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for {
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select {
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case <-c.HasBeenClosed():
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return
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default:
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key := keys[r.Int31n(int32(len(keys)))]
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atomic.AddUint64(&sizeRead, lookupForKey(db, key))
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atomic.AddUint64(&entriesRead, 1)
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}
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}
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}
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func lookupForKey(db *badger.DB, key []byte) (sz uint64) {
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err := db.View(func(txn *badger.Txn) error {
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iopt := badger.DefaultIteratorOptions
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iopt.AllVersions = true
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it := txn.NewKeyIterator(key, iopt)
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defer it.Close()
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cnt := 0
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for it.Seek(key); it.Valid(); it.Next() {
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itm := it.Item()
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sz += uint64(itm.EstimatedSize())
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cnt++
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if cnt == 10 {
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break
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}
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}
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return nil
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})
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y.Check(err)
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return
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}
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// getSampleKeys uses stream framework internally, to get keys in random order.
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func getSampleKeys(db *badger.DB) ([][]byte, error) {
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var keys [][]byte
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count := 0
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stream := db.NewStreamAt(math.MaxUint64)
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// overide stream.KeyToList as we only want keys. Also
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// we can take only first version for the key.
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stream.KeyToList = func(key []byte, itr *badger.Iterator) (*pb.KVList, error) {
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l := &pb.KVList{}
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// Since stream framework copies the item's key while calling
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// KeyToList, we can directly append key to list.
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l.Kv = append(l.Kv, &pb.KV{Key: key})
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return l, nil
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}
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errStop := errors.Errorf("Stop iterating")
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ctx, cancel := context.WithCancel(context.Background())
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defer cancel()
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stream.Send = func(buf *z.Buffer) error {
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if count >= ro.sampleSize {
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return nil
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}
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err := buf.SliceIterate(func(s []byte) error {
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var kv 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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keys = append(keys, kv.Key)
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count++
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if count >= ro.sampleSize {
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cancel()
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return errStop
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}
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return nil
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})
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if err == errStop || err == nil {
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return nil
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}
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return err
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}
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if err := stream.Orchestrate(ctx); err != nil && err != context.Canceled {
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return nil, err
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}
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// Shuffle keys before returning to minimise locality
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// of keys coming from stream framework.
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rand.Shuffle(len(keys), func(i, j int) {
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keys[i], keys[j] = keys[j], keys[i]
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})
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return keys, nil
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}
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