Azure Functions anatomy – Part 2 – What is inside a Function App?

In the previous post (Azure Functions 2.0 Anatomy- Part 1), we saw the structure of a function app. In this part, I will explain the different components of an Azure Function.

Components

Every Azure Function 2.0 consists of the following components:

  • Trigger
  • Bindings (one of which is the trigger). Binding can be input or output
  • Value Converter/Binder
  • Listener

A binding can be a Blob file, a queue message, an event from event hub or event grid or any custom binding developed by anyone. One of these bindings can initiate the function call and in this case it is called a Trigger.
A binding can also be Input or Output. Input binding delivers data to the function and output binding is used by the function to write data.

Now, assume we have the following function and its configuration

        [FunctionName("SampleFunction")]
        public static void Run([QueueTrigger("myqueue-items", Connection = "AzureWebJobsStorage")]string myQueueItem, [Blob("sample-output")]Stream output, TraceWriter log)
        {
            log.Info($"C# Queue trigger function processed: {myQueueItem}");
        }

This function has 2 binding parameters. myQueueItem which is both an input binding and a trigger, and output which is an output binding.

How Azure Functions call this method and convert the queue message to a string and the stream to a Blob file?

Binding, Listener, Value Provider and Converter

When the azure function app starts, it scans all functions that exist in the app directory like we saw in the previous post, and for each function it reads the input, output and trigger from the function config JSON file.

The scanning process uses a descriptor provider which creates the input binding, output binding, trigger and an invoker

Once all functions are loaded, it tried to load the types for each function that was developed outside the portal. It uses the scriptFile and EntryPoint as you can see below. The entry point in the previous code snippet is FunctionApp1.Function1.Run method that exist in the assembly FunctionApp1.dll

{
  "generatedBy": "Microsoft.NET.Sdk.Functions-1.0.14",
  "configurationSource": "attributes",
  "bindings": [
    {
      "type": "timerTrigger",
      "schedule": "0 */5 * * * *",
      "useMonitor": true,
      "runOnStartup": false,
      "name": "myTimer"
    }
  ],
  "disabled": false,
  "scriptFile": "../bin/FunctionApp1.dll",
  "entryPoint": "FunctionApp1.Function2.Run"
}

Each function app can either have a DLL function or a function created by portal. But not both.

Now, lets see what are the other components inside a binding:

  • Listener (IListener): This one has a method named StartAsync, which basically start listening for an event to trigger the function. For Azure Blob trigger, it scans the logs for new or modified files. For Queue trigger, it check for new messages in the specified queue.
  • Value Provider (IValueProvider): Once the listener has the event that should trigger the function, it uses the value provider to fill all input parameters. If the trigger was a blog trigger, then the value will be the file, the metadata, the name and content of the file itself. For a Queue, it will be content of the message and so on and so forth.
  • Value Converter (IAsyncConverter): This will be used to convert the values found in the value provider to all the input parameters configured for the function. In the previous example, StorageQueueMessageToStringConverter will be used to convert the CloudQueueMessage instance to the string parameter named myQueueItem. The same will be used to write data to output parameters, the framework will choose the best converter that matches the Output parameter type (Stream) and the type of variable that will be used to write to stream, ex: String or any Stream Writer.
  • Executor (ITriggerExecutor): Now we know that the function should be triggered, we have the data from input binding and we bound all input parameters, now we need to call the function body. This takes place using an implementation of ITriggerExecutor which can use reflection to call the function or in a very special case, it may get executed as a web hook like the case with HTTP trigger.

In the next post, I will dig more into Azure Function App to explore the extensions and host.