---

name: pulsar description: | Apache Pulsar cloud-native messaging and streaming. Covers topics, subscriptions, Pulsar Functions, and geo-replication. Use for multi-tenant, geo-distributed messaging systems.

USE WHEN: user mentions "pulsar", "bookkeeper", "multi-tenancy", "geo-replication", "pulsar functions", asks about "cloud-native streaming", "tenant isolation", "global messaging"

DO NOT USE FOR: simple queues - use rabbitmq or sqs; AWS-native - use sqs; Azure-native - use azure-service-bus; GCP-native - use google-pubsub; lightweight - use nats; JMS - use activemq allowed-tools: Read, Grep, Glob, Write, Edit

Apache Pulsar Core Knowledge

Deep Knowledge: Use mcp__documentation__fetch_docs with technology: pulsar for comprehensive documentation.

Quick Start (Docker)

# docker-compose.yml
services:
  pulsar:
    image: apachepulsar/pulsar:latest
    ports:
      - "6650:6650"   # Broker
      - "8080:8080"   # Admin API
    command: bin/pulsar standalone
    volumes:
      - pulsar_data:/pulsar/data

volumes:
  pulsar_data:

docker-compose up -d

# Create tenant and namespace
docker exec pulsar bin/pulsar-admin tenants create my-tenant
docker exec pulsar bin/pulsar-admin namespaces create my-tenant/my-namespace

# Test
docker exec pulsar bin/pulsar-client produce persistent://my-tenant/my-namespace/orders -m "test"
docker exec pulsar bin/pulsar-client consume persistent://my-tenant/my-namespace/orders -s "test-sub"

Core Concepts

Concept	Description
Tenant	Top-level isolation unit
Namespace	Administrative unit within tenant
Topic	Message stream (persistent/non-persistent)
Subscription	Named cursor with delivery semantics
Partition	Topic partitioning for parallelism
Bookie	Storage layer (Apache BookKeeper)

Architecture

┌─────────────────────────────────────────────────────────────┐
│                      Pulsar Cluster                          │
│  ┌───────────┐   ┌───────────┐   ┌───────────┐             │
│  │  Broker 1 │   │  Broker 2 │   │  Broker 3 │             │
│  └───────────┘   └───────────┘   └───────────┘             │
│         │               │               │                   │
│  ┌─────────────────────────────────────────────┐           │
│  │            BookKeeper (Bookies)              │           │
│  │  ┌────────┐  ┌────────┐  ┌────────┐        │           │
│  │  │Bookie 1│  │Bookie 2│  │Bookie 3│        │           │
│  │  └────────┘  └────────┘  └────────┘        │           │
│  └─────────────────────────────────────────────┘           │
└─────────────────────────────────────────────────────────────┘

Subscription Types

Type	Description	Use Case
Exclusive	Single consumer	Ordered processing
Shared	Round-robin to consumers	Load balancing
Failover	Active-standby	High availability
Key_Shared	Key-based routing	Ordered per key

Producer Patterns

Node.js (pulsar-client)

import Pulsar from 'pulsar-client';

const client = new Pulsar.Client({
  serviceUrl: 'pulsar://localhost:6650',
  operationTimeoutSeconds: 30,
});

const producer = await client.createProducer({
  topic: 'persistent://my-tenant/my-namespace/orders',
  sendTimeoutMs: 30000,
  batchingEnabled: true,
  batchingMaxMessages: 1000,
  batchingMaxPublishDelayMs: 10,
});

// Send message
const messageId = await producer.send({
  data: Buffer.from(JSON.stringify(order)),
  properties: {
    'correlation-id': correlationId,
    'order-type': order.type,
  },
  eventTimestamp: Date.now(),
});

console.log(`Sent: ${messageId}`);

// Send with key (for Key_Shared subscription)
await producer.send({
  data: Buffer.from(JSON.stringify(order)),
  partitionKey: order.customerId,
});

await producer.flush();
await producer.close();
await client.close();

Java (pulsar-client)

@Configuration
public class PulsarConfig {
    @Bean
    public PulsarClient pulsarClient() throws PulsarClientException {
        return PulsarClient.builder()
            .serviceUrl("pulsar://localhost:6650")
            .operationTimeout(30, TimeUnit.SECONDS)
            .build();
    }

    @Bean
    public Producer<byte[]> orderProducer(PulsarClient client) throws PulsarClientException {
        return client.newProducer()
            .topic("persistent://my-tenant/my-namespace/orders")
            .batchingMaxMessages(1000)
            .batchingMaxPublishDelay(10, TimeUnit.MILLISECONDS)
            .sendTimeout(30, TimeUnit.SECONDS)
            .create();
    }
}

@Service
public class OrderProducer {
    @Autowired
    private Producer<byte[]> producer;

    public void sendOrder(Order order) throws PulsarClientException {
        MessageId messageId = producer.newMessage()
            .value(objectMapper.writeValueAsBytes(order))
            .property("correlation-id", UUID.randomUUID().toString())
            .property("order-type", order.getType())
            .eventTime(System.currentTimeMillis())
            .key(order.getCustomerId())  // For Key_Shared
            .send();

        log.info("Sent: {}", messageId);
    }

    public CompletableFuture<MessageId> sendOrderAsync(Order order) {
        return producer.newMessage()
            .value(objectMapper.writeValueAsBytes(order))
            .sendAsync();
    }
}

Python (pulsar-client)

import pulsar
import json

client = pulsar.Client('pulsar://localhost:6650')

producer = client.create_producer(
    'persistent://my-tenant/my-namespace/orders',
    batching_enabled=True,
    batching_max_messages=1000,
    batching_max_publish_delay_ms=10
)

# Send message
message_id = producer.send(
    json.dumps(order).encode('utf-8'),
    properties={
        'correlation-id': correlation_id,
        'order-type': order['type']
    },
    partition_key=order['customer_id']
)

print(f"Sent: {message_id}")

producer.flush()
producer.close()
client.close()

Go (pulsar-client-go)

package main

import (
    "context"
    "encoding/json"
    "github.com/apache/pulsar-client-go/pulsar"
)

func main() {
    client, _ := pulsar.NewClient(pulsar.ClientOptions{
        URL:               "pulsar://localhost:6650",
        OperationTimeout:  30 * time.Second,
    })
    defer client.Close()

    producer, _ := client.CreateProducer(pulsar.ProducerOptions{
        Topic:                   "persistent://my-tenant/my-namespace/orders",
        BatchingMaxMessages:     1000,
        BatchingMaxPublishDelay: 10 * time.Millisecond,
    })
    defer producer.Close()

    body, _ := json.Marshal(order)

    msgID, _ := producer.Send(context.Background(), &pulsar.ProducerMessage{
        Payload: body,
        Key:     order.CustomerID,
        Properties: map[string]string{
            "correlation-id": correlationID,
            "order-type":     order.Type,
        },
    })

    log.Printf("Sent: %v", msgID)
}

Consumer Patterns

Node.js

// Exclusive subscription
const consumer = await client.subscribe({
  topic: 'persistent://my-tenant/my-namespace/orders',
  subscription: 'order-processor',
  subscriptionType: 'Exclusive',
  ackTimeoutMs: 30000,
});

while (true) {
  const msg = await consumer.receive();
  try {
    const order = JSON.parse(msg.getData().toString());
    await processOrder(order);
    consumer.acknowledge(msg);
  } catch (error) {
    consumer.negativeAcknowledge(msg);
  }
}

// Shared subscription (load balanced)
const sharedConsumer = await client.subscribe({
  topic: 'persistent://my-tenant/my-namespace/orders',
  subscription: 'order-processors',
  subscriptionType: 'Shared',
  receiverQueueSize: 1000,
});

// Key_Shared subscription (ordered per key)
const keySharedConsumer = await client.subscribe({
  topic: 'persistent://my-tenant/my-namespace/orders',
  subscription: 'order-processors',
  subscriptionType: 'KeyShared',
});

// Dead letter topic
const dlqConsumer = await client.subscribe({
  topic: 'persistent://my-tenant/my-namespace/orders',
  subscription: 'order-processor',
  subscriptionType: 'Shared',
  deadLetterPolicy: {
    maxRedeliverCount: 3,
    deadLetterTopic: 'persistent://my-tenant/my-namespace/orders-dlq',
  },
});

Java

@Service
public class OrderConsumer {
    @Autowired
    private PulsarClient client;

    @PostConstruct
    public void startConsumer() throws PulsarClientException {
        Consumer<byte[]> consumer = client.newConsumer()
            .topic("persistent://my-tenant/my-namespace/orders")
            .subscriptionName("order-processor")
            .subscriptionType(SubscriptionType.Shared)
            .ackTimeout(30, TimeUnit.SECONDS)
            .negativeAckRedeliveryDelay(1, TimeUnit.SECONDS)
            .deadLetterPolicy(DeadLetterPolicy.builder()
                .maxRedeliverCount(3)
                .deadLetterTopic("persistent://my-tenant/my-namespace/orders-dlq")
                .build())
            .subscribe();

        new Thread(() -> {
            while (true) {
                try {
                    Message<byte[]> msg = consumer.receive();
                    Order order = objectMapper.readValue(msg.getData(), Order.class);
                    processOrder(order);
                    consumer.acknowledge(msg);
                } catch (Exception e) {
                    consumer.negativeAcknowledge(msg);
                }
            }
        }).start();
    }
}

// Batch consumer
Consumer<byte[]> batchConsumer = client.newConsumer()
    .topic("persistent://my-tenant/my-namespace/orders")
    .subscriptionName("batch-processor")
    .subscriptionType(SubscriptionType.Shared)
    .batchReceivePolicy(BatchReceivePolicy.builder()
        .maxNumMessages(100)
        .maxNumBytes(1024 * 1024)
        .timeout(100, TimeUnit.MILLISECONDS)
        .build())
    .subscribe();

Messages<byte[]> messages = batchConsumer.batchReceive();
for (Message<byte[]> msg : messages) {
    processMessage(msg);
}
batchConsumer.acknowledge(messages);

Python

consumer = client.subscribe(
    'persistent://my-tenant/my-namespace/orders',
    subscription_name='order-processor',
    consumer_type=pulsar.ConsumerType.Shared,
    dead_letter_policy=pulsar.DeadLetterPolicy(
        max_redeliver_count=3,
        dead_letter_topic='persistent://my-tenant/my-namespace/orders-dlq'
    )
)

while True:
    msg = consumer.receive()
    try:
        order = json.loads(msg.data().decode('utf-8'))
        process_order(order)
        consumer.acknowledge(msg)
    except Exception as e:
        consumer.negative_acknowledge(msg)

Topic Management

# Partitioned topic
pulsar-admin topics create-partitioned-topic \
  persistent://my-tenant/my-namespace/orders \
  --partitions 12

# Set retention
pulsar-admin namespaces set-retention my-tenant/my-namespace \
  --size 10G --time 7d

# Set TTL
pulsar-admin namespaces set-message-ttl my-tenant/my-namespace \
  --messageTTL 86400

# Compaction (for key-based topics)
pulsar-admin topics compact persistent://my-tenant/my-namespace/orders

When NOT to Use This Skill

Use alternative messaging solutions when:

• Simple request/reply patterns - RabbitMQ or NATS are simpler
• AWS-native architecture - SQS has better AWS integration
• Small-scale deployments - Operational complexity may not be justified
• JMS compliance required - Use ActiveMQ
• Extremely low latency (<1ms) - Use Redis or in-memory solutions
• Single datacenter only - Kafka may be simpler
• Limited operational expertise - Managed services may be better

Anti-Patterns

Anti-Pattern	Why It's Bad	Solution
Non-persistent topics in production	Message loss on broker restart	Use persistent topics
No backlog quotas	Unbounded storage growth	Set retention policies and quotas
Shared subscription for ordering	Messages processed out of order	Use Exclusive or Key_Shared
No dead letter topic	Failed messages lost	Configure DLT for all subscriptions
Large message batching	Memory pressure, high latency	Batch moderately (100-1000 messages)
Single bookie ensemble	Data loss on bookie failure	Use ensemble size >= 3
No namespace isolation	Tenant resource contention	Properly configure namespaces and quotas
Sync send everywhere	Poor throughput	Use async send with callbacks
No monitoring	Invisible backlog and issues	Monitor backlog, throughput, latency
Auto-ack without processing	Message loss	Acknowledge only after processing

Quick Troubleshooting

Issue	Likely Cause	Fix
Messages not delivered	Subscription not created	Create subscription before consuming
Backlog growing	Slow consumers or consumer down	Add consumers or optimize processing
High latency	Batching delay or network	Reduce batching delay, check network
Out of order messages	Shared subscription	Use Exclusive or Key_Shared
Connection timeout	Broker overload or network	Check broker health, network
Subscription not found	Wrong topic or subscription name	Verify names with pulsar-admin
Publish errors	Topic not found or permissions	Create topic, check ACLs
Geo-replication lag	Network issues or high load	Check replication backlog metrics
Bookie failures	Disk full or hardware issues	Monitor disk usage, replace bookie
Negative ack storm	Processing failures	Fix processing logic, add retry limits

Production Readiness

Security Configuration

# broker.conf
authenticationEnabled=true
authenticationProviders=org.apache.pulsar.broker.authentication.AuthenticationProviderToken

brokerClientAuthenticationPlugin=org.apache.pulsar.client.impl.auth.AuthenticationToken
brokerClientAuthenticationParameters={"token":"xxx"}

# TLS
tlsEnabled=true
tlsCertificateFilePath=/path/to/broker.cert.pem
tlsKeyFilePath=/path/to/broker.key-pk8.pem
tlsTrustCertsFilePath=/path/to/ca.cert.pem

const client = new Pulsar.Client({
  serviceUrl: 'pulsar+ssl://pulsar.example.com:6651',
  authentication: new Pulsar.AuthenticationToken({ token: 'xxx' }),
  tlsTrustCertsFilePath: '/path/to/ca.cert.pem',
});

Geo-Replication

# Enable replication
pulsar-admin namespaces set-clusters my-tenant/my-namespace \
  --clusters cluster-1,cluster-2,cluster-3

# Check replication status
pulsar-admin topics stats persistent://my-tenant/my-namespace/orders

Monitoring Metrics

Metric	Alert Threshold
Backlog size	> 100000 messages
Publish rate	Anomaly detection
Subscription lag	> 10000
Message age	> 1 hour
Replication lag	> 1000

Checklist

• TLS enabled
• Authentication configured
• Authorization (namespace policies)
• Partitioned topics for scale
• Retention policies set
• Dead letter topics configured
• Geo-replication (if needed)
• Backlog quotas set
• Monitoring dashboards
• Backup procedures

Reference Documentation

Deep Knowledge: Use mcp__documentation__fetch_docs with technology: pulsar for comprehensive documentation.

Available topics: basics, producers, consumers, production