@insertish/exponential-backoff v3.1.0-patch.2
exponential-backoff
A utility that allows retrying a function with an exponential delay between attempts.
Installation
npm i exponential-backoffUsage
The backOff<T> function takes a promise-returning function to retry, and an optional IBackOffOptions object. It returns a Promise<T>.
function backOff<T>(
request: () => Promise<T>,
options?: IBackOffOptions
): Promise<T>;Here is an example retrying a function that calls a hypothetical weather endpoint:
import { backOff } from "exponential-backoff";
function getWeather() {
return fetch("weather-endpoint");
}
async function main() {
try {
const response = await backOff(() => getWeather());
// process response
} catch (e) {
// handle error
}
}
main();Migrating across major versions? Here are our breaking changes.
IBackOffOptions
delayFirstAttempt?: booleanDecides whether the
startingDelayshould be applied before the first call. Iffalse, the first call will occur without a delay.Default value is
false.jitter?: JitterType | stringDecides whether a jitter should be applied to the delay. Possible values are
fullandnone.Default value is
none.maxDelay?: numberThe maximum delay, in milliseconds, between two consecutive attempts.
Default value is
Infinity.numOfAttempts?: numberThe maximum number of times to attempt the function.
Default value is
10.Minimum value is
1.retry?: (e: any, attemptNumber: number) => boolean | Promise<boolean>The
retryfunction can be used to run logic after every failed attempt (e.g. logging a message, assessing the last error, etc.). It is called with the last error and the upcoming attempt number. Returningtruewill retry the function as long as thenumOfAttemptshas not been exceeded. Returningfalsewill end the execution.Default value is a function that always returns
true.startingDelay?: numberThe delay, in milliseconds, before executing the function for the first time.
Default value is
100ms.timeMultiple?: numberThe
startingDelayis multiplied by thetimeMultipleto increase the delay between reattempts.Default value is
2.