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Azure Service Bus Cheat Sheet

Azure Service Bus Cheat Sheet

Queues, topics, subscriptions, and CLI/SDK patterns for reliable enterprise messaging on Azure Service Bus.

2 PagesIntermediateApr 14, 2026

Create Namespace, Queue & Topic (CLI)

Provision a Service Bus namespace with a queue and a topic/subscription.

bash
az servicebus namespace create \  --resource-group rg-messaging \  --name sb-orders-ns \  --sku Standardaz servicebus queue create \  --resource-group rg-messaging \  --namespace-name sb-orders-ns \  --name orders-queue \  --max-delivery-count 10az servicebus topic create \  --resource-group rg-messaging \  --namespace-name sb-orders-ns \  --name orders-topicaz servicebus topic subscription create \  --resource-group rg-messaging \  --namespace-name sb-orders-ns \  --topic-name orders-topic \  --name billing-sub

Send & Receive Messages (Python SDK)

Use azure-servicebus to send a message and process it with peek-lock.

python
from azure.servicebus import ServiceBusClient, ServiceBusMessageconn_str = "Endpoint=sb://sb-orders-ns.servicebus.windows.net/;..."with ServiceBusClient.from_connection_string(conn_str) as client:    with client.get_queue_sender("orders-queue") as sender:        sender.send_messages(ServiceBusMessage("order-123", content_type="text/plain"))    with client.get_queue_receiver("orders-queue", max_wait_time=5) as receiver:        for msg in receiver:            print(str(msg))            receiver.complete_message(msg)  # removes it from the queue

SQL Filter on a Subscription

Route only high-priority messages to a subscription using a SQL filter rule.

bash
az servicebus topic subscription rule create \  --resource-group rg-messaging \  --namespace-name sb-orders-ns \  --topic-name orders-topic \  --subscription-name billing-sub \  --name HighPriorityOnly \  --filter-sql-expression "priority = 'high'"

Core Concepts

Terminology used across the Service Bus data plane.

  • Queue- point-to-point messaging, one consumer processes each message
  • Topic/Subscription- pub/sub; each subscription gets a copy matching its filter
  • Peek-lock- default receive mode; message is locked, must be completed/abandoned
  • Dead-letter queue (DLQ)- holds messages that exceed max delivery count or expire
  • Sessions- guarantee FIFO ordering and state for a group of related messages
  • Duplicate detection- namespace-level window to drop duplicate MessageIds

Enable Duplicate Detection & Sessions

Configure a session-enabled queue with a duplicate-detection window for exactly-once-ish producer semantics.

bash
az servicebus queue create \  --resource-group rg-messaging \  --namespace-name sb-orders-ns \  --name orders-fifo-queue \  --requires-session true \  --enable-duplicate-detection true \  --duplicate-detection-history-time-window PT10M \  --lock-duration PT1M \  --max-size 5120

Session Processor with Prefetch (.NET)

Process FIFO sessions concurrently while keeping per-session ordering, with prefetch tuned for throughput.

csharp
var client = new ServiceBusClient(connectionString);var options = new ServiceBusSessionProcessorOptions{    MaxConcurrentSessions = 20,    MaxConcurrentCallsPerSession = 1,    PrefetchCount = 50,    AutoCompleteMessages = false};await using var processor = client.CreateSessionProcessor("orders-fifo-queue", options);processor.ProcessMessageAsync += async args =>{    var body = args.Message.Body.ToString();    await HandleOrderAsync(args.SessionId, body);    await args.CompleteMessageAsync(args.Message);};processor.ProcessErrorAsync += args =>{    Console.WriteLine($"Error in {args.EntityPath}: {args.Exception}");    return Task.CompletedTask;};await processor.StartProcessingAsync();

Drain & Reprocess a Dead-Letter Queue

Read messages from a queue's DLQ sub-queue, inspect the failure reason, and resubmit to the source queue.

python
from azure.servicebus import ServiceBusClient, ServiceBusMessagewith ServiceBusClient.from_connection_string(conn_str) as client:    dlq_receiver = client.get_queue_receiver(        "orders-queue", sub_queue="deadletter", max_wait_time=5)    sender = client.get_queue_sender("orders-queue")    with dlq_receiver, sender:        for msg in dlq_receiver:            reason = msg.dead_letter_reason            desc = msg.dead_letter_error_description            print(f"DLQ reason={reason} desc={desc}")            if reason == "MaxDeliveryCountExceeded":                resubmitted = ServiceBusMessage(str(msg), content_type="text/plain")                sender.send_messages(resubmitted)            dlq_receiver.complete_message(msg)

Atomic Send + Complete in a Transaction

Use a Service Bus client-side transaction to complete an inbound message and send a follow-up message atomically.

python
with client.get_queue_receiver("orders-queue") as receiver, \     client.get_queue_sender("billing-queue") as sender:    msg = next(iter(receiver.receive_messages(max_message_count=1)))    with client.get_service_bus_transaction() as tx:        sender.send_messages(ServiceBusMessage("billing-event"), transaction=tx)        receiver.complete_message(msg, transaction=tx)        # Both operations commit or roll back together

Advanced Feature Reference

Less commonly used but production-critical Service Bus capabilities.

  • Auto-forwarding- chain a queue/subscription's output directly into another queue or topic server-side
  • Scheduled messages- ScheduledEnqueueTimeUtc delays delivery without a separate scheduler
  • Message deferral- DeferMessage sets a message aside by sequence number for out-of-order workflow processing
  • Batching (send)- ServiceBusMessageBatch packs multiple messages into one send call to cut overhead
  • Geo-disaster recovery- namespace pairing with metadata-only failover; data itself is not replicated
  • Premium tier- dedicated messaging units, VNet integration, and predictable low latency vs. Standard's shared capacity
  • Partitioned entities- spread a queue/topic across multiple message brokers for higher throughput (Standard tier only)
Pro Tip

Enable sessions only when you truly need FIFO per key (e.g. per customer) — session-enabled queues force every receiver to accept a session lock, which hurts throughput if you don't actually need ordering.

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