Azure Functions Triggers and Bindings
Azure Functions provides a programming model that simplifies how you build and deliver event-driven solutions on Azure. This programming model is built around the concept of triggers and bindings.
Understanding Triggers and Bindings
Triggers and bindings allow you to invoke a function without directly worrying about the event source, and to connect your function to other services and data without writing integration code.
Triggers
A trigger defines how a function is invoked. Every Azure Function must have exactly one trigger. Triggers can be based on a schedule, a new file in Azure Blob Storage, a message on an Azure Service Bus queue, an HTTP request, and many other events.
When a trigger event occurs, Azure Functions runtime invokes your function.
Bindings
Bindings are a declarative way to connect your function to other services, without requiring you to write explicit connector code. Bindings reduce the amount of code you need to write for common scenarios like accessing storage, queues, or sending emails. Bindings are declared in the function.json file.
There are two types of bindings:
- Input Bindings: Used to read data from a service into your function.
- Output Bindings: Used to write data from your function to a service.
Common Triggers
Here are some of the most commonly used triggers:
Trigger Type | Description | Example Use Case |
---|---|---|
HTTP Trigger | Invokes your function when an HTTP request is received. | Building web APIs, webhook handlers. |
Timer Trigger | Invokes your function on a schedule (e.g., every 5 minutes). | Scheduled tasks, batch processing. |
Blob Trigger | Invokes your function when a new or updated blob is detected in Azure Blob Storage. | Image processing, data transformation. |
Queue Trigger | Invokes your function when a message is added to an Azure Storage Queue. | Asynchronous processing, handling background tasks. |
Service Bus Trigger | Invokes your function when a message arrives on an Azure Service Bus Queue or Topic. | Complex messaging scenarios, reliable asynchronous processing. |
Common Bindings
Bindings simplify data access. Here are some common examples:
Binding Type | Description | Example Use Case |
---|---|---|
Blob Input/Output | Read from or write to Azure Blob Storage. | Storing processed data, fetching configuration files. |
Table Input/Output | Read from or write to Azure Table Storage. | Storing application settings, user data. |
Queue Output | Send a message to an Azure Storage Queue. | Initiating background jobs. |
Service Bus Output | Send a message to an Azure Service Bus Queue or Topic. | Reliable message delivery to other services. |
Cosmos DB Input/Output | Read from or write to Azure Cosmos DB. | Storing application state, user profiles. |
Event Hubs Trigger/Output | Process events from or send events to Azure Event Hubs. | Ingesting large volumes of telemetry data, real-time analytics. |
Key Concept: Declarative Configuration
Triggers and bindings are configured in the function.json
file for JavaScript, Python, and PowerShell functions, or as attributes/decorators in C# and Java. This declarative approach separates your business logic from the integration code.
How it Works Together
When a trigger event occurs (e.g., an HTTP request is received), the Azure Functions runtime:
- Detects the trigger event.
- Uses input bindings to fetch any required data from other services.
- Invokes your function code with the trigger data and any input binding data.
- Your function code executes its logic.
- If output bindings are configured, the function writes data to the specified services.
Best Practice: Keep Functions Focused
Design your functions to perform a single, well-defined task. This makes them easier to test, manage, and scale. Use multiple functions with triggers and bindings to orchestrate complex workflows.
Next Steps
Explore the specific trigger and binding documentation for the services you intend to use. You can find detailed information on configuration options, code examples, and best practices for each binding type on the Azure Functions Extensions page.
For a deeper dive into specific languages, refer to: