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2026-09-16 03:23:42 +05:00
commit 89f5be005d
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package command
import (
"fmt"
"strings"
"sync"
"sync/atomic"
"testing"
"time"
"google.golang.org/protobuf/proto"
"github.com/seaweedfs/seaweedfs/weed/pb/filer_pb"
"github.com/seaweedfs/seaweedfs/weed/util/log_buffer"
)
// createFileEvent creates a SubscribeMetadataResponse for a file creation.
func createFileEvent(dir, name string, tsNs int64) *filer_pb.SubscribeMetadataResponse {
return &filer_pb.SubscribeMetadataResponse{
Directory: dir,
TsNs: tsNs,
EventNotification: &filer_pb.EventNotification{
NewEntry: &filer_pb.Entry{
Name: name,
IsDirectory: false,
},
},
}
}
// partitionedEvents creates file creation events spread across numDirs directories.
func partitionedEvents(numDirs, filesPerDir int) (partitions [][]*filer_pb.SubscribeMetadataResponse, all []*filer_pb.SubscribeMetadataResponse) {
baseTs := time.Now().UnixNano()
partitions = make([][]*filer_pb.SubscribeMetadataResponse, numDirs)
for d := 0; d < numDirs; d++ {
dir := fmt.Sprintf("/bucket/dir%03d", d)
for f := 0; f < filesPerDir; f++ {
tsNs := baseTs + int64(d*filesPerDir+f) + 1
event := createFileEvent(dir, fmt.Sprintf("file%06d.txt", f), tsNs)
partitions[d] = append(partitions[d], event)
all = append(all, event)
}
}
return
}
// runSingleStream feeds all events through one MetadataProcessor with a per-event
// stream delivery delay (simulating a single gRPC SubscribeMetadata stream).
func runSingleStream(events []*filer_pb.SubscribeMetadataResponse, concurrency int, streamDelay, processDelay time.Duration) (processed int64, elapsed time.Duration) {
var wg sync.WaitGroup
processFn := func(resp *filer_pb.SubscribeMetadataResponse) error {
defer wg.Done()
time.Sleep(processDelay)
atomic.AddInt64(&processed, 1)
return nil
}
processor := NewMetadataProcessor(processFn, concurrency, 0)
start := time.Now()
for _, event := range events {
if streamDelay > 0 {
time.Sleep(streamDelay)
}
wg.Add(1)
processor.AddSyncJob(event)
}
wg.Wait()
elapsed = time.Since(start)
return
}
// runParallelStreams feeds partitioned events through separate MetadataProcessors,
// each in its own goroutine (simulating parallel per-directory gRPC streams).
func runParallelStreams(partitions [][]*filer_pb.SubscribeMetadataResponse, concurrency int, streamDelay, processDelay time.Duration) (processed int64, elapsed time.Duration) {
var outerWg sync.WaitGroup
start := time.Now()
for _, dirEvents := range partitions {
outerWg.Add(1)
go func(events []*filer_pb.SubscribeMetadataResponse) {
defer outerWg.Done()
var wg sync.WaitGroup
processFn := func(resp *filer_pb.SubscribeMetadataResponse) error {
defer wg.Done()
time.Sleep(processDelay)
atomic.AddInt64(&processed, 1)
return nil
}
processor := NewMetadataProcessor(processFn, concurrency, 0)
for _, event := range events {
if streamDelay > 0 {
time.Sleep(streamDelay)
}
wg.Add(1)
processor.AddSyncJob(event)
}
wg.Wait()
}(dirEvents)
}
outerWg.Wait()
elapsed = time.Since(start)
return
}
// TestStreamDeliveryBottleneck demonstrates that a single serial event stream
// is the primary throughput bottleneck, and N parallel streams achieve N× throughput.
//
// Reproduces discussion #8771: single filer.sync "/" achieves ~80 events/sec,
// while N parallel processes for individual directories achieve N × ~80 events/sec.
//
// The bottleneck is the serial gRPC metadata stream, NOT conflict detection or
// processing concurrency.
func TestStreamDeliveryBottleneck(t *testing.T) {
const (
numDirs = 10
filesPerDir = 200
// Per-event stream delivery overhead (server-side log read + gRPC round-trip).
// Production: ~10-12ms giving ~80-100 events/sec. Scaled down for test speed.
streamDelay = 50 * time.Microsecond
processDelay = 200 * time.Microsecond
)
partitions, allEvents := partitionedEvents(numDirs, filesPerDir)
singleCount, singleElapsed := runSingleStream(allEvents, 256, streamDelay, processDelay)
singleRate := float64(singleCount) / singleElapsed.Seconds()
t.Logf("1 stream: %4d events %v %6.0f events/sec",
singleCount, singleElapsed.Round(time.Millisecond), singleRate)
parallelCount, parallelElapsed := runParallelStreams(partitions, 256, streamDelay, processDelay)
parallelRate := float64(parallelCount) / parallelElapsed.Seconds()
t.Logf("%d streams: %4d events %v %6.0f events/sec",
numDirs, parallelCount, parallelElapsed.Round(time.Millisecond), parallelRate)
speedup := parallelRate / singleRate
t.Logf("Speedup: %.1fx (%d parallel streams vs 1 stream)", speedup, numDirs)
if singleCount != int64(numDirs*filesPerDir) {
t.Errorf("single: expected %d events, got %d", numDirs*filesPerDir, singleCount)
}
if parallelCount != int64(numDirs*filesPerDir) {
t.Errorf("parallel: expected %d events, got %d", numDirs*filesPerDir, parallelCount)
}
// Parallel should be significantly faster
if speedup < float64(numDirs)*0.4 {
t.Errorf("expected at least %.1fx speedup, got %.1fx", float64(numDirs)*0.4, speedup)
}
}
// TestConcurrencyIneffectiveOnStreamBottleneck shows that increasing the
// -concurrency flag has no effect when the stream delivery rate is the bottleneck.
//
// Matches the user observation: "-concurrency=256 is little better than default
// but increasing it to 1024 doesn't do anything."
func TestConcurrencyIneffectiveOnStreamBottleneck(t *testing.T) {
const (
numDirs = 10
filesPerDir = 100
streamDelay = 50 * time.Microsecond
processDelay = 200 * time.Microsecond
)
_, allEvents := partitionedEvents(numDirs, filesPerDir)
var rates []float64
for _, concurrency := range []int{32, 128, 512} {
count, elapsed := runSingleStream(allEvents, concurrency, streamDelay, processDelay)
rate := float64(count) / elapsed.Seconds()
rates = append(rates, rate)
t.Logf("concurrency=%3d: %d events %v %.0f events/sec",
concurrency, count, elapsed.Round(time.Millisecond), rate)
}
if len(rates) >= 2 {
ratio := rates[len(rates)-1] / rates[0]
t.Logf("concurrency 512 vs 32: %.2fx (expected ~1.0x when stream-limited)", ratio)
// Should be within 50% — concurrency doesn't help a stream bottleneck
if ratio > 1.5 || ratio < 0.5 {
t.Errorf("unexpected ratio %.2f: concurrency should not affect stream-limited throughput", ratio)
}
}
}
// TestLogBufferSubscriptionThroughput uses the real LogBuffer and LoopProcessLogData
// to demonstrate that a single subscriber's callback is called serially (blocking
// the event loop), while N parallel subscribers process events concurrently.
//
// This directly reproduces the server-side pipeline: SubscribeMetadata reads events
// from the LogBuffer via LoopProcessLogData, and for each event calls stream.Send()
// which blocks until the client acknowledges. A slow client stalls the entire
// event loop for that subscriber.
func TestLogBufferSubscriptionThroughput(t *testing.T) {
const (
numDirs = 10
filesPerDir = 200
totalEvents = numDirs * filesPerDir
processDelay = 200 * time.Microsecond
)
lb := log_buffer.NewLogBuffer("test-subscription", time.Hour, nil, nil, func() {})
// Populate buffer with events across directories
baseTs := time.Now().UnixNano()
var firstTsNs, lastTsNs int64
for d := 0; d < numDirs; d++ {
dir := fmt.Sprintf("/data/dir%03d", d)
for f := 0; f < filesPerDir; f++ {
tsNs := baseTs + int64(d*filesPerDir+f) + 1
if firstTsNs == 0 {
firstTsNs = tsNs
}
lastTsNs = tsNs
event := createFileEvent(dir, fmt.Sprintf("file%06d.txt", f), tsNs)
data, err := proto.Marshal(event)
if err != nil {
t.Fatalf("marshal: %v", err)
}
if err := lb.AddDataToBuffer([]byte(dir), data, tsNs); err != nil {
t.Fatalf("add to buffer: %v", err)
}
}
}
startPos := log_buffer.NewMessagePosition(firstTsNs-1, -2)
// --- Single subscriber: all events go through one callback serially ---
var singleProcessed int64
var singleRate float64
t.Run("single_subscriber_root", func(t *testing.T) {
done := make(chan struct{})
start := time.Now()
go func() {
defer close(done)
lb.LoopProcessLogData("single-root", startPos, lastTsNs,
func() bool { return true },
func(logEntry *filer_pb.LogEntry) (bool, error) {
event := &filer_pb.SubscribeMetadataResponse{}
if err := proto.Unmarshal(logEntry.Data, event); err != nil {
return false, err
}
// All events match "/" — process all
time.Sleep(processDelay)
atomic.AddInt64(&singleProcessed, 1)
return false, nil
})
}()
select {
case <-done:
case <-time.After(30 * time.Second):
t.Fatal("timed out")
}
elapsed := time.Since(start)
singleRate = float64(singleProcessed) / elapsed.Seconds()
t.Logf("1 subscriber (/): %4d events %v %6.0f events/sec",
singleProcessed, elapsed.Round(time.Millisecond), singleRate)
if singleProcessed != int64(totalEvents) {
t.Errorf("expected %d events, got %d", totalEvents, singleProcessed)
}
})
// --- N parallel subscribers, each filtering for one directory ---
var parallelProcessed int64
var parallelRate float64
t.Run("parallel_subscribers_per_dir", func(t *testing.T) {
var wg sync.WaitGroup
start := time.Now()
for d := 0; d < numDirs; d++ {
wg.Add(1)
prefix := fmt.Sprintf("/data/dir%03d/", d)
name := fmt.Sprintf("parallel-dir%03d", d)
go func(pfx, readerName string) {
defer wg.Done()
lb.LoopProcessLogData(readerName, startPos, lastTsNs,
func() bool { return true },
func(logEntry *filer_pb.LogEntry) (bool, error) {
event := &filer_pb.SubscribeMetadataResponse{}
if err := proto.Unmarshal(logEntry.Data, event); err != nil {
return false, err
}
fullpath := event.Directory
if event.EventNotification != nil && event.EventNotification.NewEntry != nil {
fullpath += "/" + event.EventNotification.NewEntry.Name
}
if !strings.HasPrefix(fullpath, pfx) {
return false, nil // skip non-matching — no delay
}
time.Sleep(processDelay)
atomic.AddInt64(&parallelProcessed, 1)
return false, nil
})
}(prefix, name)
}
done := make(chan struct{})
go func() {
wg.Wait()
close(done)
}()
select {
case <-done:
case <-time.After(30 * time.Second):
t.Fatal("timed out")
}
elapsed := time.Since(start)
parallelRate = float64(parallelProcessed) / elapsed.Seconds()
t.Logf("%d subscribers: %4d events %v %6.0f events/sec",
numDirs, parallelProcessed, elapsed.Round(time.Millisecond), parallelRate)
if parallelProcessed != int64(totalEvents) {
t.Errorf("expected %d events, got %d", totalEvents, parallelProcessed)
}
})
if singleRate > 0 && parallelRate > 0 {
speedup := parallelRate / singleRate
t.Logf("LogBuffer speedup: %.1fx (%d parallel subscribers vs 1)", speedup, numDirs)
}
}