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@convex-dev/action-retrier
Advanced tools
Note: Convex Components are currently in beta.
Actions can sometimes fail due to network errors, server restarts, or issues with a 3rd party API, and it's often useful to retry them. The Action Retrier component makes this really easy.
import { ActionRetrier } from "@convex-dev/action-retrier";
import { components } from "./convex/_generated/server";
const retrier = new ActionRetrier(components.actionRetrier);
// `retrier.run` will automatically retry your action up to four times before giving up.
await retrier.run(ctx, internal.module.myAction, { arg: 123 });
The retrier component will run the action and retry it on failure, sleeping with exponential backoff, until the action succeeds or the maximum number of retries is reached.
You'll need an existing Convex project to use the component. Convex is a hosted backend platform, including a database, serverless functions, and a ton more you can learn about here.
Run npm create convex
or follow any of the quickstarts to set one up.
First, add @convex-dev/action-retrier
as an NPM dependency:
npm install @convex-dev/action-retrier
Then, install the component into your Convex project within the convex/convex.config.ts
configuration file:
// convex/convex.config.ts
import { defineApp } from "convex/server";
import actionRetrier from "@convex-dev/action-retrier/convex.config";
const app = defineApp();
app.use(actionRetrier);
export default app;
Finally, create a new ActionRetrier
within your Convex project, and point it to the installed component:
// convex/index.ts
import { ActionRetrier } from "@convex-dev/action-retrier";
import { components } from "./_generated/api";
export const retrier = new ActionRetrier(components.actionRetrier);
You can optionally configure the retrier's backoff behavior in the ActionRetrier
constructor.
const retrier = new ActionRetrier(components.actionRetrier, {
initialBackoffMs: 10000,
base: 10,
maxFailures: 4,
});
initialBackoffMs
is the initial delay after a failure before retrying (default: 250).base
is the base for the exponential backoff (default: 2).maxFailures
is the maximum number of times to retry the action (default: 4).After installing the component, use the run
method from either a mutation or action to kick off an action.
export const kickoffExampleAction = mutation({
handler: async (ctx) => {
const runId = await retrier.run(ctx, internal.index.exampleAction, {
foo: "bar",
});
// ... optionally persist or pass along the runId
},
});
export const exampleAction = internalAction({
args: { foo: v.string() },
handler: async (ctx, args) => {
return operationThatMightFail(args);
},
});
The return value of retrier.run
is not the result of the action, but rather an ID that you can use to query its status or cancel it. The action's return value is saved along with the status, when it succeeds.
You can optionally specify overrides to the backoff parameters in an options argument.
export const kickoffExampleAction = action(async (ctx) => {
const runId = await retrier.run(
ctx,
internal.index.exampleAction,
{ failureRate: 0.8 },
{
initialBackoffMs: 125,
base: 2.71,
maxFailures: 3,
},
);
});
You can specify an onComplete
mutation callback in the options argument as well. This mutation is guaranteed to
eventually run exactly once.
// convex/index.ts
import { runResultValidator } from "@convex-dev/action-retrier";
export const kickoffExampleAction = action(async (ctx) => {
const runId = await retrier.run(
ctx,
internal.index.exampleAction,
{ failureRate: 0.8 },
{
onComplete: internal.index.exampleCallback,
},
);
});
export const exampleCallback = internalMutation({
args: { result: runResultValidator },
handler: async (ctx, args) => {
if (args.result.type === "success") {
console.log(
"Action succeeded with return value:",
args.result.returnValue,
);
} else if (args.result.type === "failed") {
console.log("Action failed with error:", args.result.error);
} else if (args.result.type === "canceled") {
console.log("Action was canceled.");
}
},
});
The run
method returns a RunId
, which can then be used for querying a run's status.
export const kickoffExampleAction = action(async (ctx) => {
const runId = await retrier.run(ctx, internal.index.exampleAction, {
failureRate: 0.8,
});
while (true) {
const status = await retrier.status(ctx, runId);
if (status.type === "inProgress") {
await new Promise((resolve) => setTimeout(resolve, 1000));
continue;
} else {
console.log("Run completed with result:", status.result);
break;
}
}
});
You can cancel a run using the cancel
method.
export const kickoffExampleAction = action(async (ctx) => {
const runId = await retrier.run(ctx, internal.index.exampleAction, {
failureRate: 0.8,
});
await new Promise((resolve) => setTimeout(resolve, 1000));
await retrier.cancel(ctx, runId);
});
Runs that are currently executing will be canceled best effort, so they
may still continue to execute. A succcesful call to cancel
, however,
does guarantee that subsequent status
calls will indicate cancelation.
Runs take up space in the database, since they store their return values. After
a run completes, you can immediately clean up its storage by using retrier.cleanup(ctx, runId)
.
The system will automatically cleanup completed runs after 7 days.
export const kickoffExampleAction = action(async (ctx) => {
const runId = await retrier.run(ctx, internal.index.exampleAction, {
failureRate: 0.8,
});
try {
while (true) {
const status = await retrier.status(ctx, runId);
if (status.type === "inProgress") {
await new Promise((resolve) => setTimeout(resolve, 1000));
continue;
} else {
console.log("Run completed with result:", status.result);
break;
}
}
} finally {
await retrier.cleanup(ctx, runId);
}
});
You can set the ACTION_RETRIER_LOG_LEVEL
to DEBUG
to have the retrier log out more of
its internal information, which you can then view on the Convex dashboard.
npx convex env set ACTION_RETRIER_LOG_LEVEL DEBUG
The default log level is INFO
, but you can also set it to ERROR
for even fewer logs.
FAQs
Convex component for retrying idempotent actions.
We found that @convex-dev/action-retrier demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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