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The iii-queue worker decouples producers from consumers: a function publishes a message to a named topic and returns right away, and any function subscribed to that topic processes the message in the background, with retries and a dead-letter queue (DLQ) for messages that keep failing.
This page is a quick tour. For the full functionality of the queue worker see the queue worker docs.

Named Queues

When you need to control function execution for time consuming operations, or guarantee a certain number of retries then you can use TriggerAction.Enqueue to place that operation into a queue.

Creating a Queue

Queues are defined in the iii-queue worker’s config under queue_configs:
Each queue_configs entry accepts:

Enqueue functions

Enqueued functions are registered the same as any other call to worker.trigger with the one difference being providing an action called TriggerAction.Enqueue to the trigger:

Pub/Sub Queues

Queues can also be used in a publish/subscribe form when multiple listeners need to subscribe to the same data and it’s important that the messages be durable (ie. will succeed).

Consuming messages

A consumer can bind to a message by registering a Trigger for durable:subscriber trigger to it. The engine runs the function once per message, passing the published data as the payload. Returning normally acknowledges the message; throwing nacks it, so it is retried and eventually dead-lettered.
  1. In a worker, register the consumer function and subscribe it to the topic. If you do not have a worker yet, scaffold one with iii worker init, then edit its source:
  1. Add the worker to start it:

Publishing a message

With the consumer running, publish to its topic. The engine delivers the data to every subscriber, so email::send runs once per message:
Open the console and go to the Traces tab to watch the message flow from the publish through to email::send running.

Retries and delivery

The durable:subscriber trigger’s config controls how each subscriber consumes: A failed delivery retries with exponential backoff (1 second, then 2 seconds) for up to 3 attempts, then the message dead-letters. queue_config accepts the following fields: For example, to process messages strictly one at a time instead of concurrently, register the trigger with a fifo queue:

Inspecting Queue Topics

These commands list both kinds of queue. A pub/sub topic appears once a function subscribes to it, and shows broker_type: "builtin". (Publishing to a topic that nothing subscribes to does not register it, so there is nothing to inspect.) A named queue appears as soon as its queue_configs entry is defined, and shows broker_type: "function_queue". List every topic (this inspects the emails topic from above):
Get stats for the topic (depth is messages waiting for the consumer, dlq_depth is dead-lettered). A topic whose consumer keeps up sits at depth: 0. For a named queue, consumer_count reports its configured concurrency slots (10 for email-jobs):

Inspecting Dead Letter Queue Messages

A message reaches the dead-letter queue only once its subscribed function exhausts its retries, so the DLQ functions return empty until something fails.

Forcing a message into the dead-letter queue

To see the DLQ populated, make email::send fail by changing the handler to throw. Each message then fails its 3 delivery attempts (a few seconds with the exponential backoff) and dead-letters.
Now publish a message; after the retries run out it lands in the DLQ (exact ids, timestamps, and sizes vary per run):

Listing topics with dead-lettered messages

Browsing dead-lettered messages

Redriving dead-lettered messages

Fix the code back to what it was originally, then move the topic’s dead-lettered messages back to the main queue for reprocessing:
The fixed function now processes them, so the DLQ is empty again:

Redriving or discarding a single message

To handle one message instead of the whole topic, pass the id from engine::queue::dlq_messages. Redrive one message back to the main queue:
Or discard it, deleting it from the DLQ permanently: