github.com/nats-io/nats-server/v2@v2.11.0-preview.2/server/jetstream_benchmark_test.go

// Copyright 2023 The NATS Authors
// 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.

//go:build !skip_js_tests && !skip_js_cluster_tests && !skip_js_cluster_tests_2
// +build !skip_js_tests,!skip_js_cluster_tests,!skip_js_cluster_tests_2

package server

import (
	"fmt"
	"math/rand"
	"sync"
	"sync/atomic"
	"testing"
	"time"

	"github.com/nats-io/nats-server/v2/internal/fastrand"
	"github.com/nats-io/nats.go"
)

func BenchmarkJetStreamConsume(b *testing.B) {

	const (
		verbose          = false
		streamName       = "S"
		subject          = "s"
		seed             = 12345
		publishTimeout   = 30 * time.Second
		PublishBatchSize = 10000
	)

	runSyncPushConsumer := func(b *testing.B, js nats.JetStreamContext, streamName string) (int, int, int) {
		const nextMsgTimeout = 3 * time.Second

		subOpts := []nats.SubOpt{
			nats.BindStream(streamName),
		}
		sub, err := js.SubscribeSync(_EMPTY_, subOpts...)
		if err != nil {
			b.Fatalf("Failed to subscribe: %v", err)
		}
		defer sub.Unsubscribe()

		bitset := NewBitset(uint64(b.N))
		uniqueConsumed, duplicates, errors := 0, 0, 0

		b.ResetTimer()

		for uniqueConsumed < b.N {
			msg, err := sub.NextMsg(nextMsgTimeout)
			if err != nil {
				b.Fatalf("No more messages (received: %d/%d)", uniqueConsumed, b.N)
			}

			metadata, mdErr := msg.Metadata()
			if mdErr != nil {
				errors++
				continue
			}

			ackErr := msg.Ack()
			if ackErr != nil {
				errors++
				continue
			}

			seq := metadata.Sequence.Stream

			index := seq - 1
			if bitset.get(index) {
				duplicates++
				continue
			}

			uniqueConsumed++
			bitset.set(index, true)

			if verbose && uniqueConsumed%1000 == 0 {
				b.Logf("Consumed: %d/%d", bitset.count(), b.N)
			}
		}

		b.StopTimer()

		return uniqueConsumed, duplicates, errors
	}

	runAsyncPushConsumer := func(b *testing.B, js nats.JetStreamContext, streamName string, ordered, durable bool) (int, int, int) {
		const timeout = 3 * time.Minute
		bitset := NewBitset(uint64(b.N))
		doneCh := make(chan bool, 1)
		uniqueConsumed, duplicates, errors := 0, 0, 0

		handleMsg := func(msg *nats.Msg) {
			metadata, mdErr := msg.Metadata()
			if mdErr != nil {
				// fmt.Printf("Metadata error: %v\n", mdErr)
				errors++
				return
			}

			// Ordered defaults to AckNone policy, don't try to ACK
			if !ordered {
				ackErr := msg.Ack()
				if ackErr != nil {
					// fmt.Printf("Ack error: %v\n", ackErr)
					errors++
					return
				}
			}

			seq := metadata.Sequence.Stream

			index := seq - 1
			if bitset.get(index) {
				duplicates++
				return
			}

			uniqueConsumed++
			bitset.set(index, true)

			if uniqueConsumed == b.N {
				msg.Sub.Unsubscribe()
				doneCh <- true
			}
			if verbose && uniqueConsumed%1000 == 0 {
				b.Logf("Consumed %d/%d", uniqueConsumed, b.N)
			}
		}

		subOpts := []nats.SubOpt{
			nats.BindStream(streamName),
		}

		if ordered {
			subOpts = append(subOpts, nats.OrderedConsumer())
		}

		if durable {
			subOpts = append(subOpts, nats.Durable("c"))
		}

		sub, err := js.Subscribe(_EMPTY_, handleMsg, subOpts...)
		if err != nil {
			b.Fatalf("Failed to subscribe: %v", err)
		}
		defer sub.Unsubscribe()

		b.ResetTimer()

		select {
		case <-doneCh:
			b.StopTimer()
		case <-time.After(timeout):
			b.Fatalf("Timeout, %d/%d received, %d errors", uniqueConsumed, b.N, errors)
		}

		return uniqueConsumed, duplicates, errors
	}

	runPullConsumer := func(b *testing.B, js nats.JetStreamContext, streamName string, durable bool) (int, int, int) {
		const fetchMaxWait = nats.MaxWait(3 * time.Second)
		const fetchMaxMessages = 1000

		bitset := NewBitset(uint64(b.N))
		uniqueConsumed, duplicates, errors := 0, 0, 0

		subOpts := []nats.SubOpt{
			nats.BindStream(streamName),
		}

		consumerName := _EMPTY_ // Default ephemeral
		if durable {
			consumerName = "c" // Durable
		}

		sub, err := js.PullSubscribe("", consumerName, subOpts...)
		if err != nil {
			b.Fatalf("Failed to subscribe: %v", err)
		}
		defer sub.Unsubscribe()

		b.ResetTimer()

	fetchLoop:
		for {
			msgs, err := sub.Fetch(fetchMaxMessages, fetchMaxWait)
			if err != nil {
				b.Fatalf("Failed to fetch: %v", err)
			}

		processMsgsLoop:
			for _, msg := range msgs {
				metadata, mdErr := msg.Metadata()
				if mdErr != nil {
					errors++
					continue processMsgsLoop
				}

				ackErr := msg.Ack()
				if ackErr != nil {
					errors++
					continue processMsgsLoop
				}

				seq := metadata.Sequence.Stream

				index := seq - 1
				if bitset.get(index) {
					duplicates++
					continue processMsgsLoop
				}

				uniqueConsumed++
				bitset.set(index, true)

				if uniqueConsumed == b.N {
					msg.Sub.Unsubscribe()
					break fetchLoop
				}

				if verbose && uniqueConsumed%1000 == 0 {
					b.Logf("Consumed %d/%d", uniqueConsumed, b.N)
				}
			}
		}

		b.StopTimer()

		return uniqueConsumed, duplicates, errors
	}

	type ConsumerType string
	const (
		PushSync         ConsumerType = "PUSH[Sync,Ephemeral]"
		PushAsync        ConsumerType = "PUSH[Async,Ephemeral]"
		PushAsyncOrdered ConsumerType = "PUSH[Async,Ordered]"
		PushAsyncDurable ConsumerType = "PUSH[Async,Durable]"
		PullDurable      ConsumerType = "PULL[Durable]"
		PullEphemeral    ConsumerType = "PULL[Ephemeral]"
	)

	benchmarksCases := []struct {
		clusterSize int
		replicas    int
		messageSize int
		minMessages int
	}{
		{1, 1, 10, 100_000}, // Single node, 10B messages, ~1MiB minimum
		{1, 1, 1024, 1_000}, // Single node, 1KB messages, ~1MiB minimum
		{3, 3, 10, 100_000}, // Cluster, R3, 10B messages, ~1MiB minimum
		{3, 3, 1024, 1_000}, // Cluster, R3, 1KB messages, ~1MiB minimum
	}

	//Each of the cases above is run with each of the consumer types
	consumerTypes := []ConsumerType{
		PushSync,
		PushAsync,
		PushAsyncOrdered,
		PushAsyncDurable,
		PullDurable,
		PullEphemeral,
	}

	for _, bc := range benchmarksCases {

		name := fmt.Sprintf(
			"N=%d,R=%d,MsgSz=%db",
			bc.clusterSize,
			bc.replicas,
			bc.messageSize,
		)

		b.Run(
			name,
			func(b *testing.B) {

				for _, ct := range consumerTypes {
					name := fmt.Sprintf(
						"%v",
						ct,
					)
					b.Run(
						name,
						func(b *testing.B) {
							// Skip short runs, benchmark gets re-executed with a larger N
							if b.N < bc.minMessages {
								b.ResetTimer()
								return
							}

							if verbose {
								b.Logf("Running %s with %d messages", name, b.N)
							}

							if verbose {
								b.Logf("Setting up %d nodes", bc.clusterSize)
							}

							cl, _, shutdown, nc, js := startJSClusterAndConnect(b, bc.clusterSize)
							defer shutdown()
							defer nc.Close()

							if verbose {
								b.Logf("Creating stream with R=%d", bc.replicas)
							}
							streamConfig := &nats.StreamConfig{
								Name:     streamName,
								Subjects: []string{subject},
								Replicas: bc.replicas,
							}
							if _, err := js.AddStream(streamConfig); err != nil {
								b.Fatalf("Error creating stream: %v", err)
							}

							// If replicated resource, connect to stream leader for lower variability
							if bc.replicas > 1 {
								connectURL := cl.streamLeader("$G", streamName).ClientURL()
								nc.Close()
								_, js = jsClientConnectURL(b, connectURL)
							}

							message := make([]byte, bc.messageSize)
							rand.New(rand.NewSource(int64(seed))).Read(message)

							// Publish b.N messages to the stream (in batches)
							for i := 1; i <= b.N; i++ {
								fastRandomMutation(message, 10)
								_, err := js.PublishAsync(subject, message)
								if err != nil {
									b.Fatalf("Failed to publish: %s", err)
								}
								// Limit outstanding published messages to PublishBatchSize
								if i%PublishBatchSize == 0 || i == b.N {
									select {
									case <-js.PublishAsyncComplete():
										if verbose {
											b.Logf("Published %d/%d messages", i, b.N)
										}
									case <-time.After(publishTimeout):
										b.Fatalf("Publish timed out")
									}
								}
							}

							// Set size of each operation, for throughput calculation
							b.SetBytes(int64(bc.messageSize))

							// Discard time spent during setup
							// Consumer may reset again further in
							b.ResetTimer()

							var consumed, duplicates, errors int

							const (
								ordered   = true
								unordered = false
								durable   = true
								ephemeral = false
							)

							switch ct {
							case PushSync:
								consumed, duplicates, errors = runSyncPushConsumer(b, js, streamName)
							case PushAsync:
								consumed, duplicates, errors = runAsyncPushConsumer(b, js, streamName, unordered, ephemeral)
							case PushAsyncOrdered:
								consumed, duplicates, errors = runAsyncPushConsumer(b, js, streamName, ordered, ephemeral)
							case PushAsyncDurable:
								consumed, duplicates, errors = runAsyncPushConsumer(b, js, streamName, unordered, durable)
							case PullDurable:
								consumed, duplicates, errors = runPullConsumer(b, js, streamName, durable)
							case PullEphemeral:
								consumed, duplicates, errors = runPullConsumer(b, js, streamName, ephemeral)
							default:
								b.Fatalf("Unknown consumer type: %v", ct)
							}

							// Benchmark ends here, (consumer may have stopped earlier)
							b.StopTimer()

							if consumed != b.N {
								b.Fatalf("Something doesn't add up: %d != %d", consumed, b.N)
							}

							b.ReportMetric(float64(duplicates)*100/float64(b.N), "%dupe")
							b.ReportMetric(float64(errors)*100/float64(b.N), "%error")
						},
					)
				}
			},
		)
	}
}

func BenchmarkJetStreamConsumeWithFilters(b *testing.B) {
	const (
		verbose          = false
		streamName       = "S"
		subjectPrefix    = "s"
		seed             = 123456
		messageSize      = 32
		consumerReplicas = 1
		domainNameLength = 36 // Length of domain portion of subject, must be an even number
		publishBatchSize = 1000
		publishTimeout   = 10 * time.Second
	)

	clusterSizeCases := []struct {
		clusterSize int              // Single node or cluster
		replicas    int              // Stream replicas
		storage     nats.StorageType // Stream storage
	}{
		{1, 1, nats.MemoryStorage},
		{3, 3, nats.MemoryStorage},
	}

	benchmarksCases := []struct {
		domains             int // Number of distinct domains
		subjectsPerDomain   int // Number of distinct subjects within each domain
		filters             int // Number of filters (<prefix>.<domain>.>) per consumer
		concurrentConsumers int // Number of consumer running

	}{
		{100, 10, 5, 12},
		{1000, 10, 25, 12},
		{10_000, 10, 50, 12},
	}

	for _, cs := range clusterSizeCases {
		name := fmt.Sprintf(
			"N=%d,R=%d,storage=%s",
			cs.clusterSize,
			cs.replicas,
			cs.storage.String(),
		)
		b.Run(
			name,
			func(b *testing.B) {

				for _, bc := range benchmarksCases {

					name := fmt.Sprintf(
						"D=%d,DS=%d,F=%d,C=%d",
						bc.domains,
						bc.subjectsPerDomain,
						bc.filters,
						bc.concurrentConsumers,
					)

					b.Run(
						name,
						func(b *testing.B) {

							cl, s, shutdown, nc, js := startJSClusterAndConnect(b, cs.clusterSize)
							defer shutdown()
							defer nc.Close()

							if verbose {
								b.Logf("Creating stream with R=%d", cs.replicas)
							}
							streamConfig := &nats.StreamConfig{
								Name:              streamName,
								Subjects:          []string{subjectPrefix + ".>"},
								Storage:           cs.storage,
								Retention:         nats.LimitsPolicy,
								MaxAge:            time.Hour,
								Duplicates:        10 * time.Second,
								Discard:           nats.DiscardOld,
								NoAck:             false,
								MaxMsgs:           -1,
								MaxBytes:          -1,
								MaxConsumers:      -1,
								Replicas:          1,
								MaxMsgsPerSubject: 1,
							}
							if _, err := js.AddStream(streamConfig); err != nil {
								b.Fatalf("Error creating stream: %v", err)
							}

							// If replicated resource, connect to stream leader for lower variability
							connectURL := s.ClientURL()
							if cs.replicas > 1 {
								connectURL = cl.streamLeader("$G", streamName).ClientURL()
								nc.Close()
								_, js = jsClientConnectURL(b, connectURL)
							}

							rng := rand.New(rand.NewSource(int64(seed)))
							message := make([]byte, messageSize)
							domain := make([]byte, domainNameLength/2)

							domains := make([]string, 0, bc.domains*bc.subjectsPerDomain)

							// Publish one message per subject for each domain
							published := 0
							totalMessages := bc.domains * bc.subjectsPerDomain
							for d := 1; d <= bc.domains; d++ {
								rng.Read(domain)
								for s := 1; s <= bc.subjectsPerDomain; s++ {
									rng.Read(message)
									domainString := fmt.Sprintf("%X", domain)
									domains = append(domains, domainString)
									subject := fmt.Sprintf("%s.%s.%d", subjectPrefix, domainString, s)
									_, err := js.PublishAsync(subject, message)
									if err != nil {
										b.Fatalf("failed to publish: %s", err)
									}
									published += 1

									// Wait for all pending to be published before trying to publish the next batch
									if published%publishBatchSize == 0 || published == totalMessages {
										select {
										case <-js.PublishAsyncComplete():
											if verbose {
												b.Logf("Published %d/%d messages", published, totalMessages)
											}
										case <-time.After(publishTimeout):
											b.Fatalf("Publish timed out")
										}
									}

								}
							}

							// Number of messages that each new consumer expects to consume
							messagesPerIteration := bc.filters * bc.subjectsPerDomain

							// Each call to 'subscribe_consume_unsubscribe' is one benchmark operation.
							// i.e. subscribe_consume_unsubscribe will be called a total of b.N times (split among C threads)
							// Each operation consists of:
							// - Create filter
							// - Create consumer / Subscribe
							// - Consume expected number of messages
							// - Unsubscribe
							subscribeConsumeUnsubscribe := func(js nats.JetStreamContext, rng *rand.Rand) {

								// Select F unique domains to create F non-overlapping filters
								filterDomains := make(map[string]bool, bc.filters)
								filters := make([]string, 0, bc.filters)
								for len(filterDomains) < bc.filters {
									domain := domains[rng.Intn(len(domains))]
									if _, found := filterDomains[domain]; found {
										// Collision with existing filter, try again
										continue
									}
									filterDomains[domain] = true
									filters = append(filters, fmt.Sprintf("%s.%s.>", subjectPrefix, domain))
								}

								if verbose {
									b.Logf("Subscribe with filters: %+v", filters)
								}

								// Consumer callback
								received := 0
								consumeWg := sync.WaitGroup{}
								consumeWg.Add(1)
								cb := func(msg *nats.Msg) {
									received += 1
									if received == messagesPerIteration {
										consumeWg.Done()
										if verbose {
											b.Logf("Received %d/%d messages", received, messagesPerIteration)
										}
									}
								}

								// Create consumer
								subOpts := []nats.SubOpt{
									nats.BindStream(streamName),
									nats.OrderedConsumer(),
									nats.ConsumerReplicas(consumerReplicas),
									nats.ConsumerFilterSubjects(filters...),
									nats.ConsumerMemoryStorage(),
								}

								var sub *nats.Subscription

								sub, err := js.Subscribe("", cb, subOpts...)
								if err != nil {
									b.Fatalf("Failed to subscribe: %s", err)
								}

								defer func(sub *nats.Subscription) {
									err := sub.Unsubscribe()
									if err != nil {
										b.Logf("Failed to unsubscribe: %s", err)
									}
								}(sub)

								consumeWg.Wait()
							}

							// Wait for all consumer threads and main to be ready
							wgReady := sync.WaitGroup{}
							wgReady.Add(bc.concurrentConsumers + 1)
							// Wait until all consumer threads have completed
							wgCompleted := sync.WaitGroup{}
							wgCompleted.Add(bc.concurrentConsumers)
							// Operations left for consumer threads
							opsCount := atomic.Int32{}
							opsCount.Store(int32(b.N))

							// Start a pool of C goroutines, each one with a dedicated connection.
							for i := 1; i <= bc.concurrentConsumers; i++ {
								go func(consumerId int) {

									// Connect
									nc, js := jsClientConnectURL(b, connectURL)
									defer nc.Close()

									// Signal completion of work
									defer wgCompleted.Done()

									rng := rand.New(rand.NewSource(int64(seed + consumerId)))

									// Ready, wait for everyone else
									wgReady.Done()
									wgReady.Wait()

									completed := 0
									for opsCount.Add(-1) >= 0 {
										subscribeConsumeUnsubscribe(js, rng)
										completed += 1
									}
									if verbose {
										b.Logf("Consumer thread %d completed %d of %d operations", consumerId, completed, b.N)
									}
								}(i)
							}

							// Wait for all consumers to be ready
							wgReady.Done()
							wgReady.Wait()

							// Start measuring time
							b.ResetTimer()

							// Wait for consumers to have chewed through b.N operations
							wgCompleted.Wait()
							b.StopTimer()

							// Throughput is not very important in this benchmark since each operation includes
							// subscribe, unsubscribe and retrieves just a few bytes
							//b.SetBytes(int64(messageSize * messagesPerIteration))
						},
					)
				}
			},
		)
	}
}

func BenchmarkJetStreamPublish(b *testing.B) {

	const (
		verbose    = false
		seed       = 12345
		streamName = "S"
	)

	runSyncPublisher := func(b *testing.B, js nats.JetStreamContext, messageSize int, subjects []string) (int, int) {
		published, errors := 0, 0
		message := make([]byte, messageSize)
		rand.New(rand.NewSource(int64(seed))).Read(message)

		b.ResetTimer()

		for i := 1; i <= b.N; i++ {
			fastRandomMutation(message, 10)
			subject := subjects[fastrand.Uint32n(uint32(len(subjects)))]
			_, pubErr := js.Publish(subject, message)
			if pubErr != nil {
				errors++
			} else {
				published++
			}

			if verbose && i%1000 == 0 {
				b.Logf("Published %d/%d, %d errors", i, b.N, errors)
			}
		}

		b.StopTimer()

		return published, errors
	}

	runAsyncPublisher := func(b *testing.B, js nats.JetStreamContext, messageSize int, subjects []string, asyncWindow int) (int, int) {
		const publishCompleteMaxWait = 30 * time.Second
		rng := rand.New(rand.NewSource(int64(seed)))
		message := make([]byte, messageSize)
		rng.Read(message)

		published, errors := 0, 0

		b.ResetTimer()

		for published < b.N {

			// Normally publish a full batch (of size `asyncWindow`)
			publishBatchSize := asyncWindow
			// Unless fewer are left to complete the benchmark
			if b.N-published < asyncWindow {
				publishBatchSize = b.N - published
			}

			pending := make([]nats.PubAckFuture, 0, publishBatchSize)

			for i := 0; i < publishBatchSize; i++ {
				fastRandomMutation(message, 10)
				subject := subjects[rng.Intn(len(subjects))]
				pubAckFuture, err := js.PublishAsync(subject, message)
				if err != nil {
					errors++
					continue
				}
				pending = append(pending, pubAckFuture)
			}

			// All in this batch published, wait for completed
			select {
			case <-js.PublishAsyncComplete():
			case <-time.After(publishCompleteMaxWait):
				b.Fatalf("Publish timed out")
			}

			// Verify one by one if they were published successfully
			for _, pubAckFuture := range pending {
				select {
				case <-pubAckFuture.Ok():
					published++
				case <-pubAckFuture.Err():
					errors++
				default:
					b.Fatalf("PubAck is still pending after publish completed")
				}
			}

			if verbose {
				b.Logf("Published %d/%d", published, b.N)
			}
		}

		b.StopTimer()

		return published, errors
	}

	type PublishType string
	const (
		Sync  PublishType = "Sync"
		Async PublishType = "Async"
	)

	benchmarksCases := []struct {
		clusterSize int
		replicas    int
		messageSize int
		numSubjects int
		minMessages int
	}{
		{1, 1, 10, 1, 100_000}, // Single node, 10B messages, ~1MB minimum
		{1, 1, 1024, 1, 1_000}, // Single node, 1KB messages, ~1MB minimum
		{3, 3, 10, 1, 100_000}, // 3-nodes cluster, R=3, 10B messages, ~1MB minimum
		{3, 3, 1024, 1, 1_000}, // 3-nodes cluster, R=3, 10B messages, ~1MB minimum
	}

	// All the cases above are run with each of the publisher cases below
	publisherCases := []struct {
		pType       PublishType
		asyncWindow int
	}{
		{Sync, -1},
		{Async, 1000},
		{Async, 4000},
		{Async, 8000},
	}

	for _, bc := range benchmarksCases {
		name := fmt.Sprintf(
			"N=%d,R=%d,MsgSz=%db,Subjs=%d",
			bc.clusterSize,
			bc.replicas,
			bc.messageSize,
			bc.numSubjects,
		)

		b.Run(
			name,
			func(b *testing.B) {

				for _, pc := range publisherCases {
					name := fmt.Sprintf("%v", pc.pType)
					if pc.pType == Async && pc.asyncWindow > 0 {
						name = fmt.Sprintf("%s[W:%d]", name, pc.asyncWindow)
					}

					b.Run(
						name,
						func(b *testing.B) {

							subjects := make([]string, bc.numSubjects)
							for i := 0; i < bc.numSubjects; i++ {
								subjects[i] = fmt.Sprintf("s-%d", i+1)
							}

							if verbose {
								b.Logf("Running %s with %d ops", name, b.N)
							}

							if verbose {
								b.Logf("Setting up %d nodes", bc.clusterSize)
							}

							cl, _, shutdown, nc, _ := startJSClusterAndConnect(b, bc.clusterSize)
							defer shutdown()
							defer nc.Close()

							jsOpts := []nats.JSOpt{
								nats.MaxWait(10 * time.Second),
							}

							if pc.asyncWindow > 0 && pc.pType == Async {
								jsOpts = append(jsOpts, nats.PublishAsyncMaxPending(pc.asyncWindow))
							}

							js, err := nc.JetStream(jsOpts...)
							if err != nil {
								b.Fatalf("Unexpected error getting JetStream context: %v", err)
							}

							if verbose {
								b.Logf("Creating stream with R=%d and %d input subjects", bc.replicas, bc.numSubjects)
							}
							streamConfig := &nats.StreamConfig{
								Name:     streamName,
								Subjects: subjects,
								Replicas: bc.replicas,
							}
							if _, err := js.AddStream(streamConfig); err != nil {
								b.Fatalf("Error creating stream: %v", err)
							}

							// If replicated resource, connect to stream leader for lower variability
							if bc.replicas > 1 {
								connectURL := cl.streamLeader("$G", streamName).ClientURL()
								nc.Close()
								nc, err = nats.Connect(connectURL)
								if err != nil {
									b.Fatalf("Failed to create client connection to stream leader: %v", err)
								}
								defer nc.Close()
								js, err = nc.JetStream(jsOpts...)
								if err != nil {
									b.Fatalf("Unexpected error getting JetStream context for stream leader: %v", err)
								}
							}

							if verbose {
								b.Logf("Running %v publisher with message size: %dB", pc.pType, bc.messageSize)
							}

							b.SetBytes(int64(bc.messageSize))

							// Benchmark starts here
							b.ResetTimer()

							var published, errors int
							switch pc.pType {
							case Sync:
								published, errors = runSyncPublisher(b, js, bc.messageSize, subjects)
							case Async:
								published, errors = runAsyncPublisher(b, js, bc.messageSize, subjects, pc.asyncWindow)
							}

							// Benchmark ends here
							b.StopTimer()

							if published+errors != b.N {
								b.Fatalf("Something doesn't add up: %d + %d != %d", published, errors, b.N)
							}

							b.ReportMetric(float64(errors)*100/float64(b.N), "%error")
						},
					)
				}
			},
		)
	}
}

func BenchmarkJetStreamInterestStreamWithLimit(b *testing.B) {

	const (
		verbose          = true
		seed             = 12345
		publishBatchSize = 100
		messageSize      = 256
		numSubjects      = 2500
		subjectPrefix    = "S"
		numPublishers    = 4
		randomData       = true
		warmupMessages   = 1
	)

	if verbose {
		b.Logf(
			"BatchSize: %d, MsgSize: %d, Subjects: %d, Publishers: %d, Random Message: %v",
			publishBatchSize,
			messageSize,
			numSubjects,
			numPublishers,
			randomData,
		)
	}

	// Benchmark parameters: sub-benchmarks are executed for every combination of the following 3 groups
	// Unless a more restrictive filter is specified, e.g.:
	// BenchmarkJetStreamInterestStreamWithLimit/.*R=3.*/Storage=Memory/unlimited

	// Parameter: Number of nodes and number of stream replicas
	clusterAndReplicasCases := []struct {
		clusterSize int
		replicas    int
	}{
		{1, 1}, // Single node, R=1
		{3, 3}, // 3-nodes cluster, R=3
	}

	// Parameter: Stream storage type
	storageTypeCases := []nats.StorageType{
		nats.MemoryStorage,
		nats.FileStorage,
	}

	// Parameter: Stream limit configuration
	limitConfigCases := map[string]func(*nats.StreamConfig){
		"unlimited": func(config *nats.StreamConfig) {
		},
		"MaxMsg=1000": func(config *nats.StreamConfig) {
			config.MaxMsgs = 100
		},
		"MaxMsg=10": func(config *nats.StreamConfig) {
			config.MaxMsgs = 10
		},
		"MaxPerSubject=10": func(config *nats.StreamConfig) {
			config.MaxMsgsPerSubject = 10
		},
		"MaxAge=1s": func(config *nats.StreamConfig) {
			config.MaxAge = 1 * time.Second
		},
		"MaxBytes=1MB": func(config *nats.StreamConfig) {
			config.MaxBytes = 1024 * 1024
		},
	}

	// Context shared by publishers routines
	type PublishersContext = struct {
		readyWg      sync.WaitGroup
		completedWg  sync.WaitGroup
		messagesLeft int
		lock         sync.Mutex
		errors       int
	}

	// Helper: Publish synchronously as Goroutine
	publish := func(publisherId int, ctx *PublishersContext, js nats.JetStreamContext) {
		defer ctx.completedWg.Done()
		errors := 0
		messageBuf := make([]byte, messageSize)
		rand.New(rand.NewSource(int64(seed + publisherId))).Read(messageBuf)

		// Warm up: publish a few messages
		for i := 0; i < warmupMessages; i++ {
			subject := fmt.Sprintf("%s.%d", subjectPrefix, fastrand.Uint32n(numSubjects))
			if randomData {
				fastRandomMutation(messageBuf, 10)
			}
			_, err := js.Publish(subject, messageBuf)
			if err != nil {
				b.Logf("Warning: failed to publish warmup message: %s", err)
			}
		}

		// Signal this publisher is ready
		ctx.readyWg.Done()

		for {
			// Obtain a batch of messages to publish
			batchSize := 0
			{
				ctx.lock.Lock()
				if ctx.messagesLeft >= publishBatchSize {
					batchSize = publishBatchSize
				} else if ctx.messagesLeft < publishBatchSize {
					batchSize = ctx.messagesLeft
				}
				ctx.messagesLeft -= batchSize
				ctx.lock.Unlock()
			}

			// Nothing left to publish, terminate
			if batchSize == 0 {
				ctx.lock.Lock()
				ctx.errors += errors
				ctx.lock.Unlock()
				return
			}

			// Publish a batch of messages
			for i := 0; i < batchSize; i++ {
				subject := fmt.Sprintf("%s.%d", subjectPrefix, fastrand.Uint32n(numSubjects))
				if randomData {
					fastRandomMutation(messageBuf, 10)
				}
				_, err := js.Publish(subject, messageBuf)
				if err != nil {
					errors += 1
				}
			}
		}
	}

	// Benchmark matrix: (cluster and replicas) * (storage type) * (stream limit)
	for _, benchmarkCase := range clusterAndReplicasCases {
		b.Run(
			fmt.Sprintf(
				"N=%d,R=%d",
				benchmarkCase.clusterSize,
				benchmarkCase.replicas,
			),
			func(b *testing.B) {
				for _, storageType := range storageTypeCases {
					b.Run(
						fmt.Sprintf("Storage=%v", storageType),
						func(b *testing.B) {

							for limitDescription, limitConfigFunc := range limitConfigCases {
								b.Run(
									limitDescription,
									func(b *testing.B) {

										// Print benchmark parameters
										if verbose {
											b.Logf(
												"Stream: %+v, Storage: [%v] Limit: [%s], Ops: %d",
												benchmarkCase,
												storageType,
												limitDescription,
												b.N,
											)
										}

										// Setup server or cluster
										cl, ls, shutdown, nc, js := startJSClusterAndConnect(b, benchmarkCase.clusterSize)
										defer shutdown()
										defer nc.Close()

										// Common stream configuration
										streamConfig := &nats.StreamConfig{
											Name:      "S",
											Subjects:  []string{fmt.Sprintf("%s.>", subjectPrefix)},
											Replicas:  benchmarkCase.replicas,
											Storage:   storageType,
											Discard:   DiscardOld,
											Retention: DiscardOld,
										}
										// Configure stream limit
										limitConfigFunc(streamConfig)

										// Create stream
										if _, err := js.AddStream(streamConfig); err != nil {
											b.Fatalf("Error creating stream: %v", err)
										}

										// Set up publishers shared context
										var pubCtx PublishersContext
										pubCtx.readyWg.Add(numPublishers)
										pubCtx.completedWg.Add(numPublishers)

										// Hold this lock until all publishers are ready
										pubCtx.lock.Lock()
										pubCtx.messagesLeft = b.N

										connectURL := ls.ClientURL()
										// If replicated resource, connect to stream leader for lower variability
										if benchmarkCase.replicas > 1 {
											connectURL = cl.streamLeader("$G", "S").ClientURL()
										}

										// Spawn publishers routines, each with its own connection and JS context
										for i := 0; i < numPublishers; i++ {
											nc, err := nats.Connect(connectURL)
											if err != nil {
												b.Fatal(err)
											}
											defer nc.Close()
											js, err := nc.JetStream()
											if err != nil {
												b.Fatal(err)
											}
											go publish(i, &pubCtx, js)
										}

										// Wait for all publishers to be ready
										pubCtx.readyWg.Wait()

										// Set size of each operation, for throughput calculation
										b.SetBytes(messageSize)

										// Benchmark starts here
										b.ResetTimer()

										// Unblock the publishers
										pubCtx.lock.Unlock()

										// Wait for all publishers to complete
										pubCtx.completedWg.Wait()

										// Benchmark ends here
										b.StopTimer()

										// Sanity check, publishers may have died before completing
										if pubCtx.messagesLeft != 0 {
											b.Fatalf("Some messages left: %d", pubCtx.messagesLeft)
										}

										b.ReportMetric(float64(pubCtx.errors)*100/float64(b.N), "%error")
									},
								)
							}
						},
					)
				}
			},
		)
	}
}

func BenchmarkJetStreamKV(b *testing.B) {

	const (
		verbose   = false
		kvName    = "BUCKET"
		keyPrefix = "K_"
		seed      = 12345
	)

	runKVGet := func(b *testing.B, kv nats.KeyValue, keys []string) int {
		rng := rand.New(rand.NewSource(int64(seed)))
		errors := 0

		b.ResetTimer()

		for i := 1; i <= b.N; i++ {
			key := keys[rng.Intn(len(keys))]
			_, err := kv.Get(key)
			if err != nil {
				errors++
				continue
			}

			if verbose && i%1000 == 0 {
				b.Logf("Completed %d/%d Get ops", i, b.N)
			}
		}

		b.StopTimer()
		return errors
	}

	runKVPut := func(b *testing.B, kv nats.KeyValue, keys []string, valueSize int) int {

		value := make([]byte, valueSize)
		rand.New(rand.NewSource(int64(seed))).Read(value)
		errors := 0

		b.ResetTimer()

		for i := 1; i <= b.N; i++ {
			key := keys[fastrand.Uint32n(uint32(len(keys)))]
			fastRandomMutation(value, 10)
			_, err := kv.Put(key, value)
			if err != nil {
				errors++
				continue
			}

			if verbose && i%1000 == 0 {
				b.Logf("Completed %d/%d Put ops", i, b.N)
			}
		}

		b.StopTimer()
		return errors
	}

	runKVUpdate := func(b *testing.B, kv nats.KeyValue, keys []string, valueSize int) int {
		value := make([]byte, valueSize)
		rand.New(rand.NewSource(int64(seed))).Read(value)
		errors := 0

		b.ResetTimer()

		for i := 1; i <= b.N; i++ {
			key := keys[fastrand.Uint32n(uint32(len(keys)))]

			kve, getErr := kv.Get(key)
			if getErr != nil {
				errors++
				continue
			}

			fastRandomMutation(value, 10)
			_, updateErr := kv.Update(key, value, kve.Revision())
			if updateErr != nil {
				errors++
				continue
			}

			if verbose && i%1000 == 0 {
				b.Logf("Completed %d/%d Update ops", i, b.N)
			}
		}

		b.StopTimer()
		return errors
	}

	type WorkloadType string
	const (
		Get    WorkloadType = "GET"
		Put    WorkloadType = "PUT"
		Update WorkloadType = "CAS"
	)

	benchmarksCases := []struct {
		clusterSize int
		replicas    int
		numKeys     int
		valueSize   int
	}{
		{1, 1, 100, 100},   // 1 node with 100 keys, 100B values
		{1, 1, 1000, 100},  // 1 node with 1000 keys, 100B values
		{3, 3, 100, 100},   // 3 nodes with 100 keys, 100B values
		{3, 3, 1000, 100},  // 3 nodes with 1000 keys, 100B values
		{3, 3, 1000, 1024}, // 3 nodes with 1000 keys, 1KB values
	}

	workloadCases := []WorkloadType{
		Get,
		Put,
		Update,
	}

	for _, bc := range benchmarksCases {

		bName := fmt.Sprintf(
			"N=%d,R=%d,B=1,K=%d,ValSz=%db",
			bc.clusterSize,
			bc.replicas,
			bc.numKeys,
			bc.valueSize,
		)

		b.Run(
			bName,
			func(b *testing.B) {
				for _, wc := range workloadCases {
					wName := fmt.Sprintf("%v", wc)
					b.Run(
						wName,
						func(b *testing.B) {

							if verbose {
								b.Logf("Running %s workload %s with %d messages", wName, bName, b.N)
							}

							if verbose {
								b.Logf("Setting up %d nodes", bc.clusterSize)
							}

							// Pre-generate all keys
							keys := make([]string, 0, bc.numKeys)
							for i := 1; i <= bc.numKeys; i++ {
								key := fmt.Sprintf("%s%d", keyPrefix, i)
								keys = append(keys, key)
							}

							// Setup server or cluster
							cl, _, shutdown, nc, js := startJSClusterAndConnect(b, bc.clusterSize)
							defer shutdown()
							defer nc.Close()

							// Create bucket
							if verbose {
								b.Logf("Creating KV %s with R=%d", kvName, bc.replicas)
							}
							kvConfig := &nats.KeyValueConfig{
								Bucket:   kvName,
								Replicas: bc.replicas,
							}
							kv, err := js.CreateKeyValue(kvConfig)
							if err != nil {
								b.Fatalf("Error creating KV: %v", err)
							}

							// Initialize all keys
							rng := rand.New(rand.NewSource(int64(seed)))
							value := make([]byte, bc.valueSize)
							for _, key := range keys {
								rng.Read(value)
								_, err := kv.Create(key, value)
								if err != nil {
									b.Fatalf("Failed to initialize %s/%s: %v", kvName, key, err)
								}
							}

							// If replicated resource, connect to stream leader for lower variability
							if bc.replicas > 1 {
								nc.Close()
								connectURL := cl.streamLeader("$G", fmt.Sprintf("KV_%s", kvName)).ClientURL()
								nc, js = jsClientConnectURL(b, connectURL)
								defer nc.Close()
							}

							kv, err = js.KeyValue(kv.Bucket())
							if err != nil {
								b.Fatalf("Error binding to KV: %v", err)
							}

							// Set size of each operation, for throughput calculation
							b.SetBytes(int64(bc.valueSize))

							// Discard time spent during setup
							// May reset again further in
							b.ResetTimer()

							var errors int

							switch wc {
							case Get:
								errors = runKVGet(b, kv, keys)
							case Put:
								errors = runKVPut(b, kv, keys, bc.valueSize)
							case Update:
								errors = runKVUpdate(b, kv, keys, bc.valueSize)
							default:
								b.Fatalf("Unknown workload type: %v", wc)
							}

							// Benchmark ends here, (may have stopped earlier)
							b.StopTimer()

							b.ReportMetric(float64(errors)*100/float64(b.N), "%error")
						},
					)
				}
			},
		)
	}
}

func BenchmarkJetStreamObjStore(b *testing.B) {
	const (
		verbose      = false
		objStoreName = "B"
		keyPrefix    = "K_"
		seed         = 12345
		initKeys     = true

		// read/write ratios
		ReadOnly  = 1.0
		WriteOnly = 0.0
	)

	// rwRatio to string
	rwRatioToString := func(rwRatio float64) string {
		switch rwRatio {
		case ReadOnly:
			return "readOnly"
		case WriteOnly:
			return "writeOnly"
		default:
			return fmt.Sprintf("%0.1f", rwRatio)
		}
	}

	// benchmark for object store by performing read/write operations with data of random size
	RunObjStoreBenchmark := func(b *testing.B, objStore nats.ObjectStore, minObjSz int, maxObjSz int, numKeys int, rwRatio float64) (int, int, int) {
		var (
			errors int
			reads  int
			writes int
		)

		dataBuf := make([]byte, maxObjSz)
		rng := rand.New(rand.NewSource(int64(seed)))
		rng.Read(dataBuf)

		// Each operation is processing a random amount of bytes within a size range which
		// will be either read from or written to an object store bucket. However, here we are
		// approximating the size of the processed data with a simple average of the range.
		b.SetBytes(int64((minObjSz + maxObjSz) / 2))

		for i := 1; i <= b.N; i++ {
			key := fmt.Sprintf("%s_%d", keyPrefix, rng.Intn(numKeys))
			var err error

			rwOp := rng.Float64()
			switch {
			case rwOp <= rwRatio:
				// Read Op
				_, err = objStore.GetBytes(key)
				reads++
			case rwOp > rwRatio:
				// Write Op
				// dataSz is a random value between min-max object size and cannot be less than 1 byte
				dataSz := rng.Intn(maxObjSz-minObjSz+1) + minObjSz
				data := dataBuf[:dataSz]
				fastRandomMutation(data, 10)
				_, err = objStore.PutBytes(key, data)
				writes++
			}
			if err != nil {
				errors++
			}

			if verbose && i%1000 == 0 {
				b.Logf("Completed: %d reads, %d writes, %d errors. %d/%d total operations have been completed.", reads, writes, errors, i, b.N)
			}
		}
		return errors, reads, writes
	}

	// benchmark cases table
	benchmarkCases := []struct {
		storage  nats.StorageType
		numKeys  int
		minObjSz int
		maxObjSz int
	}{
		{nats.MemoryStorage, 100, 1024, 102400},     // mem storage, 100 objects sized (1KB-100KB)
		{nats.MemoryStorage, 100, 102400, 1048576},  // mem storage, 100 objects sized (100KB-1MB)
		{nats.MemoryStorage, 1000, 10240, 102400},   // mem storage, 1k objects of various size (10KB - 100KB)
		{nats.FileStorage, 100, 1024, 102400},       // file storage, 100 objects sized (1KB-100KB)
		{nats.FileStorage, 1000, 10240, 1048576},    // file storage, 1k objects of various size (10KB - 1MB)
		{nats.FileStorage, 100, 102400, 1048576},    // file storage, 100 objects sized (100KB-1MB)
		{nats.FileStorage, 100, 1048576, 10485760},  // file storage, 100 objects sized (1MB-10MB)
		{nats.FileStorage, 10, 10485760, 104857600}, // file storage, 10 objects sized (10MB-100MB)
	}

	var (
		clusterSizeCases = []int{1, 3}
		rwRatioCases     = []float64{ReadOnly, WriteOnly, 0.8}
	)

	// Test with either single node or 3 node cluster
	for _, clusterSize := range clusterSizeCases {
		replicas := clusterSize
		cName := fmt.Sprintf("N=%d,R=%d", clusterSize, replicas)
		b.Run(
			cName,
			func(b *testing.B) {
				for _, rwRatio := range rwRatioCases {
					rName := fmt.Sprintf("workload=%s", rwRatioToString(rwRatio))
					b.Run(
						rName,
						func(b *testing.B) {
							// Test all tabled benchmark cases
							for _, bc := range benchmarkCases {
								bName := fmt.Sprintf("K=%d,storage=%s,minObjSz=%db,maxObjSz=%db", bc.numKeys, bc.storage, bc.minObjSz, bc.maxObjSz)
								b.Run(
									bName,
									func(b *testing.B) {

										// Test setup
										rng := rand.New(rand.NewSource(int64(seed)))

										if verbose {
											b.Logf("Setting up %d nodes", replicas)
										}

										// Setup server or cluster
										cl, _, shutdown, nc, js := startJSClusterAndConnect(b, clusterSize)
										defer shutdown()
										defer nc.Close()

										// Initialize object store
										if verbose {
											b.Logf("Creating ObjectStore %s with R=%d", objStoreName, replicas)
										}
										objStoreConfig := &nats.ObjectStoreConfig{
											Bucket:   objStoreName,
											Replicas: replicas,
											Storage:  bc.storage,
										}
										objStore, err := js.CreateObjectStore(objStoreConfig)
										if err != nil {
											b.Fatalf("Error creating ObjectStore: %v", err)
										}

										// If replicated resource, connect to stream leader for lower variability
										if clusterSize > 1 {
											nc.Close()
											connectURL := cl.streamLeader("$G", fmt.Sprintf("OBJ_%s", objStoreName)).ClientURL()
											nc, js := jsClientConnectURL(b, connectURL)
											defer nc.Close()
											objStore, err = js.ObjectStore(objStoreName)
											if err != nil {
												b.Fatalf("Error binding to ObjectStore: %v", err)
											}
										}

										// Initialize keys
										if initKeys {
											for n := 0; n < bc.numKeys; n++ {
												key := fmt.Sprintf("%s_%d", keyPrefix, n)
												dataSz := rng.Intn(bc.maxObjSz-bc.minObjSz+1) + bc.minObjSz
												value := make([]byte, dataSz)
												rng.Read(value)
												_, err := objStore.PutBytes(key, value)
												if err != nil {
													b.Fatalf("Failed to initialize %s/%s: %v", objStoreName, key, err)
												}
											}
										}

										b.ResetTimer()

										// Run benchmark
										errors, reads, writes := RunObjStoreBenchmark(b, objStore, bc.minObjSz, bc.maxObjSz, bc.numKeys, rwRatio)

										// Report metrics
										b.ReportMetric(float64(errors)*100/float64(b.N), "%error")
										b.ReportMetric(float64(reads), "reads")
										b.ReportMetric(float64(writes), "writes")

									},
								)
							}
						},
					)
				}
			},
		)
	}
}

func BenchmarkJetStreamPublishConcurrent(b *testing.B) {
	const (
		subject    = "test-subject"
		streamName = "test-stream"
	)

	type BenchPublisher struct {
		// nats connection for this publisher
		conn *nats.Conn
		// jetstream context
		js nats.JetStreamContext
		// message buffer
		messageData []byte
		// number of publish calls
		publishCalls int
		// number of publish errors
		publishErrors int
	}

	messageSizeCases := []int64{
		10,     // 10B
		1024,   // 1KiB
		102400, // 100KiB
	}
	numPubsCases := []int{
		12,
	}

	replicasCases := []struct {
		clusterSize int
		replicas    int
	}{
		{1, 1},
		{3, 3},
	}

	workload := func(b *testing.B, numPubs int, messageSize int64, clientUrl string) {

		// create N publishers
		publishers := make([]BenchPublisher, numPubs)
		for i := range publishers {
			// create publisher connection and jetstream context
			ncPub, err := nats.Connect(clientUrl)
			if err != nil {
				b.Fatal(err)
			}
			defer ncPub.Close()
			jsPub, err := ncPub.JetStream()
			if err != nil {
				b.Fatal(err)
			}

			// initialize publisher
			publishers[i] = BenchPublisher{
				conn:          ncPub,
				js:            jsPub,
				messageData:   make([]byte, messageSize),
				publishCalls:  0,
				publishErrors: 0,
			}
			rand.New(rand.NewSource(int64(i))).Read(publishers[i].messageData)
		}

		// waits for all publishers sub-routines and for main thread to be ready
		var workloadReadyWg sync.WaitGroup
		workloadReadyWg.Add(1 + numPubs)

		// wait group blocks main thread until publish workload is completed, it is decremented after stream receives b.N messages from all publishers
		var benchCompleteWg sync.WaitGroup
		benchCompleteWg.Add(1)

		// wait group to ensure all publishers have been torn down
		var finishedPublishersWg sync.WaitGroup
		finishedPublishersWg.Add(numPubs)

		// start go routines for all publishers, wait till all publishers are initialized before starting publish workload
		for i := range publishers {

			go func(pubId int) {
				// signal that this publisher has been torn down
				defer finishedPublishersWg.Done()

				// publisher sub-routine is ready
				workloadReadyWg.Done()

				// start workload when main thread and all other publishers are ready
				workloadReadyWg.Wait()

				// publish until stream receives b.N messages
				for {
					// random bytes as payload
					fastRandomMutation(publishers[pubId].messageData, 10)
					// attempt to publish message
					pubAck, err := publishers[pubId].js.Publish(subject, publishers[pubId].messageData)
					publishers[pubId].publishCalls += 1
					if err != nil {
						publishers[pubId].publishErrors += 1
						continue
					}
					// all messages have been published to stream
					if pubAck.Sequence == uint64(b.N) {
						benchCompleteWg.Done()
					}
					// a publisher has already published b.N messages, stop publishing
					if pubAck.Sequence >= uint64(b.N) {
						return
					}
				}
			}(i)
		}

		// set bytes per operation
		b.SetBytes(messageSize)

		// main thread is ready
		workloadReadyWg.Done()
		// start the clock
		b.ResetTimer()

		// wait till termination cond reached
		benchCompleteWg.Wait()
		// stop the clock
		b.StopTimer()

		// wait for all publishers to shutdown
		finishedPublishersWg.Wait()

		// sum up publish calls and errors
		publishCalls := 0
		publishErrors := 0
		for _, pub := range publishers {
			publishCalls += pub.publishCalls
			publishErrors += pub.publishErrors
		}

		// report error rate
		errorRate := 100 * float64(publishErrors) / float64(publishCalls)
		b.ReportMetric(errorRate, "%error")
	}

	// benchmark case matrix
	for _, replicasCase := range replicasCases {
		b.Run(
			fmt.Sprintf("N=%d,R=%d", replicasCase.clusterSize, replicasCase.replicas),
			func(b *testing.B) {
				for _, messageSize := range messageSizeCases {
					b.Run(
						fmt.Sprintf("msgSz=%db", messageSize),
						func(b *testing.B) {
							for _, numPubs := range numPubsCases {
								b.Run(
									fmt.Sprintf("pubs=%d", numPubs),
									func(b *testing.B) {

										// start jetstream cluster
										cl, ls, shutdown, nc, js := startJSClusterAndConnect(b, replicasCase.clusterSize)
										defer shutdown()
										defer nc.Close()
										clientUrl := ls.ClientURL()

										// create stream
										_, err := js.AddStream(&nats.StreamConfig{
											Name:     streamName,
											Subjects: []string{subject},
											Replicas: replicasCase.replicas,
										})
										if err != nil {
											b.Fatal(err)
										}
										defer js.DeleteStream(streamName)

										// If replicated resource, connect to stream leader for lower variability
										if replicasCase.replicas > 1 {
											nc.Close()
											clientUrl = cl.streamLeader("$G", streamName).ClientURL()
											nc, _ = jsClientConnectURL(b, clientUrl)
											defer nc.Close()
										}

										// run workload
										workload(b, numPubs, messageSize, clientUrl)
									},
								)
							}
						})
				}
			})
	}
}

// Helper function to stand up a JS-enabled single server or cluster
func startJSClusterAndConnect(b *testing.B, clusterSize int) (c *cluster, s *Server, shutdown func(), nc *nats.Conn, js nats.JetStreamContext) {
	b.Helper()
	var err error

	if clusterSize == 1 {
		s = RunBasicJetStreamServer(b)
		shutdown = func() {
			s.Shutdown()
		}
	} else {
		c = createJetStreamClusterExplicit(b, "BENCH_PUB", clusterSize)
		c.waitOnClusterReadyWithNumPeers(clusterSize)
		c.waitOnLeader()
		s = c.leader()
		shutdown = func() {
			c.shutdown()
		}
	}

	nc, err = nats.Connect(s.ClientURL())
	if err != nil {
		b.Fatalf("failed to connect: %s", err)
	}

	js, err = nc.JetStream()
	if err != nil {
		b.Fatalf("failed to init jetstream: %s", err)
	}

	return c, s, shutdown, nc, js
}