Crates.io | tokio-retry2 |
lib.rs | tokio-retry2 |
version | 0.5.6 |
source | src |
created_at | 2024-09-04 15:36:33.556993 |
updated_at | 2024-10-06 17:31:56.624347 |
description | Extensible, asynchronous retry behaviours for futures/tokio |
homepage | |
repository | https://github.com/naomijub/tokio-retry |
max_upload_size | |
id | 1363465 |
size | 69,570 |
Forked from https://github.com/srijs/rust-tokio-retry to keep it up-to-date
Extensible, asynchronous retry behaviours for the ecosystem of tokio libraries.
Add this to your Cargo.toml
:
[dependencies]
tokio-retry2 = { version = "0.5", features = ["jitter", "tracing"] }
jitter
: adds jittery duration to the retry. Mechanism to avoid multiple systems retrying at the same time.tracing
: using tracing
crate to indicate that a strategy has reached its max_duration
or max_delay
.use tokio_retry2::{Retry, RetryError};
use tokio_retry2::strategy::{ExponentialBackoff, jitter, MaxInterval};
async fn action() -> Result<u64, RetryError<()>> {
// do some real-world stuff here...
RetryError::to_transient(())
}
#[tokio::main]
async fn main() -> Result<(), ()> {
let retry_strategy = ExponentialBackoff::from_millis(10)
.factor(1) // multiplication factor applied to deplay
.max_delay_millis(100) // set max delay between retries to 500ms
.max_interval(10000) // set max interval to 10 seconds
.map(jitter) // add jitter to delays
.take(3); // limit to 3 retries
let result = Retry::spawn(retry_strategy, action).await?;
Ok(())
}
Or, to retry with a notification function:
use tokio_retry2::{Retry, RetryError};
use tokio_retry2::strategy::{ExponentialBackoff, jitter, MaxInterval};
async fn action() -> Result<u64, RetryError<std::io::Error>> {
// do some real-world stuff here...
RetryError::to_permanent(()) // Early exits on this error
}
fn notify(err: &std::io::Error, duration: std::time::Duration) {
tracing::info!("Error {err:?} occurred at {duration:?}");
}
#[tokio::main]
async fn main() -> Result<(), ()> {
let retry_strategy = ExponentialBackoff::from_millis(10)
.factor(1) // multiplication factor applied to deplay
.max_delay_millis(100) // set max delay between retries to 500ms
.max_interval(10000) // set max interval to 10 seconds
.map(jitter) // add jitter to delays
.take(3); // limit to 3 retries
let result = Retry::spawn_notify(retry_strategy, action, notify).await?;
Ok(())
}
Actions must return a RetryError
that can wrap any other error type. There are 2 RetryError
error trypes:
Permanent
, which receives an error and brakes the retry loop. It can be constructed manually or with auxiliary functions RetryError::permanent(e: E)
, that returns a RetryError::Permanent<E>
, or RetryError::to_permanent(e: E)
, that returns an Err(RetryError::Permanent<E>)
.Transient
, which is the Default error for the loop. It has 2 modes:
RetryError::transient(e: E)
and RetryError::to_transient(e: E)
, that return a RetryError::Transient<E>
, which is an error that triggers the retry strategy.RetryError::retry_after(e: E, duration: std::time::Duration)
and RetryError::to_retry_after(e: E, duration: std::time::Duration)
, that return a RetryError::Transient<E>
, which is an error that triggers the retry strategy after the specified duration.MapErr
that possesses 2 auxiliary functions that map the current function Result to Result<T, RetryError<E>>
:
fn map_transient_err(self) -> Result<T, RetryError<E>>;
fn map_permanent_err(self) -> Result<T, RetryError<E>>;
?
operator on an Option
type will always propagate a RetryError::Transient<E>
with no extra duration.There are 4 backoff strategies:
ExponentialBackoff
: base is considered the initial retry interval, so if defined from 500ms, the next retry will happen at 250000ms.
attempt | delay |
---|---|
1 | 500ms |
2 | 250000ms |
ExponentialFactorBackoff
: this is a exponential backoff strategy with a base factor. What is exponentially configured is the factor, while the base retry delay is the same. So if a factor 2 is applied to an initial delay off 500ms, the attempts are as follows:
attempt | delay |
---|---|
1 | 500ms |
2 | 1000ms |
3 | 2000ms |
4 | 4000ms |
FixedInterval
: in this backoff strategy, a fixed interval is used as constant. so if defined from 500ms, all attempts will happen at 500ms.
attempt | delay |
---|---|
1 | 500ms |
2 | 500ms |
3 | 500ms |
FibonacciBackoff
: a Fibonacci backoff strategy is used. so if defined from 500ms, the next retry will happen at 500ms, and the following will be at 1000ms.
attempt | delay |
---|---|
1 | 500ms |
2 | 500ms |
3 | 1000ms |
4 | 1500ms |