Throttling
Throttling allows you to specify how many function runs can start within a time period. When the limit is reached, new function runs over the throttling limit will be enqueued for the future. Throttling is FIFO (first in first out). Some use cases for priority include:
- Evenly distributing function execution over time to reduce spikes.
- Working around third-party API rate limits.
How to configure throttling
inngest.createFunction(
{
id: "unique-function-id",
throttle: {
limit: 1,
period: "5s",
burst: 2,
key: "event.data.user_id",
},
}
{ event: "ai/summary.requested" },
async ({ event, step }) => {
}
);
You can configure throttling on each function using the optional throttle
parameter. The options directly control the generic cell rate algorithm parameters used within the queue.
Configuration reference
limit
: The total number of runs allowed to start within the givenperiod
.period
: The period within the limit will be applied.burst
: The number of runs allowed to start in the given window in a single burst. This defaults to 1, which ensures that requests are smoothed amongst the givenperiod
.key
: An optional expression which returns a throttling key using event data. This allows you to apply unique throttle limits specific to a user.
Configuration information
- The rate limit smooths requests in the given period, allowing
limit/period
requests a second. - Period must be between
1s
and7d
, or between 1 second and 7 days. The minimum granularity is one second. - Throttling is currently applied per function. Two functions with the same key have two separate limits.
- Every request is evenly weighted and counts as a single unit in the rate limiter.
How throttling works
Throttling uses the generic cell rate algorithm (GCRA) to limit function run starts directly in the queue. When you send an event or invoke a function that specifies throttling configuration, Inngest checks the function's throttle limit to see if there's capacity:
- If there's capacity, the function run starts as usual.
- If there is no capacity, the function run will begin when there's capacity in the future.
Note that throttling only applies to function run starts. It does not apply to steps within a function. This allows you to regulate how often functions begin work, without worrying about how many steps are in a function, or if steps run in parallel. To limit how many steps can execute at once, use concurrency controls.
Throttling is FIFO (first in first out), so the first function run to be enqueued will be the first to start when there's capacity.
Throttling vs Concurrency
Concurrency limits the number of executing steps across your function runs. This allows you to manage the total capacity of your functions.
Throttling limits the number of new function runs being started. It does not limit the number of executing steps. For example, with a throttling limit of 1 per minute, only one run will start in a single minute. However, that run may execute hundreds of steps, as throttling does not limit steps.
Throttling vs Rate Limiting
Rate limiting also specifies how many functions can start within a time period. However, in Inngest rate limiting ignores function runs over the limit and does not enqueue them for future work. Throttling will enqueue runs over the limit for the future.
Rate limiting is lossy and provides hard limits on function runs, while throttling delays function runs over the limit until there’s capacity, smoothing spikes.