Introduction to Azure Functions Bindings

Azure Functions bindings provide a declarative way to connect to Azure services and other resources without needing to write explicit integration code. Bindings allow your function to easily receive input data from and send output data to other services.

What are Bindings?

Think of bindings as a contract between your function code and an external service. You declare what services your function needs to interact with, and Azure Functions handles the underlying connection, data serialization, and deserialization for you.

Bindings are divided into two main categories:

Key Benefits of Using Bindings

How Bindings Work

When you define a binding, you specify its type (e.g., `blob`, `queue`, `httpTrigger`), direction (`in`, `out`, or `inout`), and parameters (like connection strings, container names, queue names, etc.).

For example, an input binding might tell the function runtime to read a blob from Azure Blob Storage and make its content available as a parameter to your function. An output binding might take a value returned by your function and write it to a specific queue.

Tip: Bindings abstract away the complexities of interacting with external services, allowing you to write cleaner, more maintainable function code.

Common Binding Types

Azure Functions supports a wide range of bindings for various Azure services and third-party integrations. Some of the most common include:

Triggers:

Input/Output Bindings:

Example: A Simple HTTP Trigger with an Output Binding

Consider a simple HTTP triggered function that takes a name from the request and writes a greeting to a Queue Storage queue.

In function.json:


{
  "scriptFile": "__init__.py",
  "bindings": [
    {
      "authLevel": "function",
      "type": "httpTrigger",
      "direction": "in",
      "name": "req",
      "methods": [
        "get",
        "post"
      ]
    },
    {
      "type": "http",
      "direction": "out",
      "name": "res"
    },
    {
      "name": "outputQueueItem",
      "type": "queue",
      "direction": "out",
      "queueName": "greetings",
      "connection": "AzureWebJobsStorage"
    }
  ]
}
            

In Python (__init__.py):


import logging
import azure.functions as func

def main(req: func.HttpRequest, outputQueueItem: func.Out[str]) -> func.HttpResponse:
    logging.info('Python HTTP trigger function processed a request.')

    name = req.params.get('name')
    if not name:
        try:
            req_body = req.get_json()
        except ValueError:
            pass
        else:
            name = req_body.get('name')

    if name:
        message = f"Hello, {name}! Your greeting has been queued."
        outputQueueItem.set(f"Hello, {name}!")
        return func.HttpResponse(
             message,
             status_code=200
        )
    else:
        return func.HttpResponse(
             "Please pass a name on the query string or in the request body",
             status_code=400
        )
            

In this example:

By leveraging bindings, you can build powerful, event-driven applications on Azure Functions with significantly less code.