Retry asynchronous functions

This document describes how you can request asynchronous (non-HTTPS) background functions to retry on failure.

Semantics of retry

Cloud Functions guarantees at-least-once execution of an event-driven function for each event emitted by an event source. By default, if a function invocation terminates with an error, the function is not invoked again and the event is dropped. When you enable retries on an event-driven function, Cloud Functions retries a failed function invocation until it completes successfully or the retry window expires.

For 2nd gen functions, this retry window expires after 24 hours. For 1st gen functions, it expires after 7 days. Cloud Functions retries newly created event-driven functions using an exponential backoff strategy, with an increasing backoff of between 10 and 600 seconds. This policy is applied to new functions the first time you deploy them. It is not retroactively applied to existing functions that were first deployed before the changes described in this release note took effect, even if you redeploy the functions.

When retries are not enabled for a function, which is the default, the function always reports that it executed successfully, and 200 OK response codes might appear in its logs. This occurs even if the function encountered an error. To make it clear when your function encounters an error, be sure to report errors appropriately.

Why event-driven functions fail to complete

On rare occasions, a function might exit prematurely due to an internal error, and by default the function might or might not be automatically retried.

More typically, an event-driven function might fail to successfully complete due to errors thrown in the function code itself. The reasons this might happen include:

• The function contains a bug and the runtime throws an exception.
• The function cannot reach a service endpoint, or times out while trying to do so.
• The function intentionally throws an exception (for example, when a parameter fails validation).
• A Node.js function returns a rejected promise, or passes a non-null value to a callback.

In any of the above cases, the function stops executing by default and the event is discarded. To retry the function when an error occurs, you can change the default retry policy by setting the "retry on failure" property. This causes the event to be retried repeatedly until the function successfully completes or the retry timeout expires.

Enable or disable retries

Configure retries from the GCP Console

If you're creating a new function:

1. From the Create Function screen, select Add trigger and choose the type of event to act as a trigger for your function.
2. In the Eventarc trigger pane, select the Retry on failure checkbox to enable retries.

If you're updating an existing function:

1. From the Cloud Functions Overview page, click the name of the function you're updating to open its Function details screen, then choose Edit from the menu bar to display the HTTPS and Eventarc trigger panes.
2. In the Eventarc trigger pane, click the edit edit icon to edit your trigger's settings.
3. In the Eventarc trigger pane, select or clear the Retry on failure checkbox to enable or disable retries.

Configure retries from your function code

With Cloud Functions for Firebase, you can enable retries in the code for a function. To do this for a background function such as functions.foo.onBar(myHandler);, use runWith and configure a failure policy:

functions.runWith({failurePolicy: true}).foo.onBar(myHandler);

Setting true as shown configures a function to retry on failure.

Best practices

This section describes best practices for using retries.

Use retry to handle transient errors

Because your function is retried continuously until successful execution, permanent errors like bugs should be eliminated from your code through testing before enabling retries. Retries are best used to handle intermittent/transient failures that have a high likelihood of resolution upon retrying, such as a flaky service endpoint or timeout.

Set an end condition to avoid infinite retry loops

It is best practice to protect your function against continuous looping when using retries. You can do this by including a well-defined end condition, before the function begins processing. Note that this technique only works if your function starts successfully and is able to evaluate the end condition.

A simple yet effective approach is to discard events with timestamps older than a certain time. This helps to avoid excessive executions when failures are either persistent or longer-lived than expected.

For example, this code snippet discards all events older than 10 seconds:

const eventAgeMs = Date.now() - Date.parse(event.timestamp);
const eventMaxAgeMs = 10000;
if (eventAgeMs > eventMaxAgeMs) {
  console.log(`Dropping event ${event} with age[ms]: ${eventAgeMs}`);
  callback();
  return;
}

Use catch with Promises

If your function has retries enabled, any unhandled error will trigger a retry. Make sure that your code captures any errors that should not result in a retry.

Here is an example of what you should do:

return doFooAsync().catch((err) => {
    if (isFatal(err)) {
        console.error(`Fatal error ${err}`);
    }
    return Promise.reject(err);
});

Make retryable event-driven functions idempotent

Event-driven functions that can be retried must be idempotent. Here are some general guidelines for making such a function idempotent:

• Many external APIs (such as Stripe) let you supply an idempotency key as a parameter. If you are using such an API, you should use the event ID as the idempotency key.
• Idempotency works well with at-least-once delivery, because it makes it safe to retry. So a general best practice for writing reliable code is to combine idempotency with retries.
• Make sure that your code is internally idempotent. For example:
  • Make sure that mutations can happen more than once without changing the outcome.
  • Query database state in a transaction before mutating the state.
  • Make sure that all side effects are themselves idempotent.
• Impose a transactional check outside the function, independent of the code. For example, persist state somewhere recording that a given event ID has already been processed.
• Deal with duplicate function calls out-of-band. For example, have a separate clean up process that cleans up after duplicate function calls.

Configure the retry policy

Depending on the needs of your Cloud Function, you may want to configure the retry policy directly. This would allow you to set up any combination of the following:

• Shorten the retry window from 7 days to as little as 10 minutes.
• Change the minimum and maximum backoff time for the exponential backoff retry strategy.
• Change the retry strategy to retry immediately.
• Configure a dead-letter topic.
• Set a maximum and minimum number of delivery attempts.

To configure the retry policy:

1. Write an HTTP function.
2. Use the Pub/Sub API to create a Pub/Sub subscription, specifying the URL of the function as the target.

See Pub/Sub documentation on handling failures for a more information on configuring Pub/Sub directly.