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This commit is contained in:
327
weed/command/filer_sync_subscription_test.go
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327
weed/command/filer_sync_subscription_test.go
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@@ -0,0 +1,327 @@
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package command
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import (
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"fmt"
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"strings"
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"sync"
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"sync/atomic"
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"testing"
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"time"
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"google.golang.org/protobuf/proto"
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"github.com/seaweedfs/seaweedfs/weed/pb/filer_pb"
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"github.com/seaweedfs/seaweedfs/weed/util/log_buffer"
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)
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// createFileEvent creates a SubscribeMetadataResponse for a file creation.
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func createFileEvent(dir, name string, tsNs int64) *filer_pb.SubscribeMetadataResponse {
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return &filer_pb.SubscribeMetadataResponse{
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Directory: dir,
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TsNs: tsNs,
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EventNotification: &filer_pb.EventNotification{
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NewEntry: &filer_pb.Entry{
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Name: name,
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IsDirectory: false,
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},
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},
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}
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}
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// partitionedEvents creates file creation events spread across numDirs directories.
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func partitionedEvents(numDirs, filesPerDir int) (partitions [][]*filer_pb.SubscribeMetadataResponse, all []*filer_pb.SubscribeMetadataResponse) {
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baseTs := time.Now().UnixNano()
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partitions = make([][]*filer_pb.SubscribeMetadataResponse, numDirs)
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for d := 0; d < numDirs; d++ {
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dir := fmt.Sprintf("/bucket/dir%03d", d)
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for f := 0; f < filesPerDir; f++ {
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tsNs := baseTs + int64(d*filesPerDir+f) + 1
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event := createFileEvent(dir, fmt.Sprintf("file%06d.txt", f), tsNs)
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partitions[d] = append(partitions[d], event)
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all = append(all, event)
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}
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}
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return
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}
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// runSingleStream feeds all events through one MetadataProcessor with a per-event
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// stream delivery delay (simulating a single gRPC SubscribeMetadata stream).
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func runSingleStream(events []*filer_pb.SubscribeMetadataResponse, concurrency int, streamDelay, processDelay time.Duration) (processed int64, elapsed time.Duration) {
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var wg sync.WaitGroup
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processFn := func(resp *filer_pb.SubscribeMetadataResponse) error {
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defer wg.Done()
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time.Sleep(processDelay)
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atomic.AddInt64(&processed, 1)
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return nil
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}
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processor := NewMetadataProcessor(processFn, concurrency, 0)
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start := time.Now()
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for _, event := range events {
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if streamDelay > 0 {
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time.Sleep(streamDelay)
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}
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wg.Add(1)
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processor.AddSyncJob(event)
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}
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wg.Wait()
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elapsed = time.Since(start)
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return
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}
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// runParallelStreams feeds partitioned events through separate MetadataProcessors,
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// each in its own goroutine (simulating parallel per-directory gRPC streams).
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func runParallelStreams(partitions [][]*filer_pb.SubscribeMetadataResponse, concurrency int, streamDelay, processDelay time.Duration) (processed int64, elapsed time.Duration) {
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var outerWg sync.WaitGroup
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start := time.Now()
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for _, dirEvents := range partitions {
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outerWg.Add(1)
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go func(events []*filer_pb.SubscribeMetadataResponse) {
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defer outerWg.Done()
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var wg sync.WaitGroup
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processFn := func(resp *filer_pb.SubscribeMetadataResponse) error {
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defer wg.Done()
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time.Sleep(processDelay)
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atomic.AddInt64(&processed, 1)
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return nil
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}
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processor := NewMetadataProcessor(processFn, concurrency, 0)
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for _, event := range events {
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if streamDelay > 0 {
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time.Sleep(streamDelay)
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}
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wg.Add(1)
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processor.AddSyncJob(event)
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}
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wg.Wait()
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}(dirEvents)
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}
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outerWg.Wait()
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elapsed = time.Since(start)
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return
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}
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// TestStreamDeliveryBottleneck demonstrates that a single serial event stream
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// is the primary throughput bottleneck, and N parallel streams achieve N× throughput.
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//
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// Reproduces discussion #8771: single filer.sync "/" achieves ~80 events/sec,
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// while N parallel processes for individual directories achieve N × ~80 events/sec.
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//
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// The bottleneck is the serial gRPC metadata stream, NOT conflict detection or
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// processing concurrency.
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func TestStreamDeliveryBottleneck(t *testing.T) {
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const (
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numDirs = 10
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filesPerDir = 200
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// Per-event stream delivery overhead (server-side log read + gRPC round-trip).
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// Production: ~10-12ms giving ~80-100 events/sec. Scaled down for test speed.
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streamDelay = 50 * time.Microsecond
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processDelay = 200 * time.Microsecond
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)
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partitions, allEvents := partitionedEvents(numDirs, filesPerDir)
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singleCount, singleElapsed := runSingleStream(allEvents, 256, streamDelay, processDelay)
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singleRate := float64(singleCount) / singleElapsed.Seconds()
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||||
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(¶llelProcessed, 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)
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user