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The retryExchange lets us retry specific operation, by default it will retry only network errors, but we can specify additional options to add functionality.

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First install @urql/exchange-retry alongside urql:

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yarn add @urql/exchange-retry
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npm install --save @urql/exchange-retry

You'll then need to add the retryExchange, exposed by this package, to your urql Client:

import { createClient, dedupExchange, cacheExchange, fetchExchange } from 'urql';
import { retryExchange } from '@urql/exchange-retry';
// None of these options have to be added, these are the default values.
const options = {
initialDelayMs: 1000,
maxDelayMs: 15000,
randomDelay: true,
maxNumberAttemptsNIDAGE 50FT Dual Lens Inspection Camera, Borescope with 5" Large IPS Screen, Sewer Pipe Drain Plumbing Industrial Endoscope Snake Waterproof Camera with 7 LED Lights, Carrying Case, 32GB Card 2,
retryIf: err => err && err.networkError,
};
// Note the position of the retryExchange - it should be placed prior to the
// fetchExchange and after the cacheExchange for it to function correctly
const client = createClient({
url: 'http://localhost:1234/graphql',
exchanges: [
dedupExchange,
cacheExchange,
retryExchange(options), // Use the retryExchange factory to add a new exchange
fetchExchange,
],
});

We want to place the retryExchange before the fetchExchange so that retries are only performed after the operation has passed through the cache and has attempted to fetch.

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There are a set of optional options that allow for fine-grained control over the Bates Men's Sport 2 Mid Military and Tactical Boot mechanism.

We have the initialDelayMs to specify at what interval the retrying should start, this means that if we specify 1000 that when our operation fails we'll wait 1 second and then retry it.

Next up is the maxDelayMs, our retryExchange will keep increasing the time between retries, so we don't spam our server with requests it can't complete, this option ensures we don't exceed a certain threshold. This time between requests will increase with a random back-off factor multiplied by the initialDelayMs, read more about the Royal Selangor Hand Finished V&A Streamline Collection Pewter Serving Tray Gift.

Talking about increasing the delay randomly, randomDelay allows us to disable this. When this option is set to false we'll only increase the time between attempts with the initialDelayMsDepartment 56 Possible Dreams Accessories Home for The Holidays Door Lit Figurine, 7 Inch, Multicolor

We don't want to infinitely attempt an operation, we can declare how many times it should attempt the operation with maxNumberAttempts.

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We can introduce specific triggers for the retryExchange to start retrying operations, let's look at an example:

import { createClient, dedupExchange, cacheExchange, fetchExchange } from 'urql';
import { retryExchange } from '@urql/exchange-retry';
const client = createClient({
url: 'http://localhost:1234/graphql',
exchanges: Timken HA599863 Axle Bearing and Hub Assembly
dedupExchange,
cacheExchange,
retryExchange({
retryIf: error => {
return !!(error.graphQLErrors.length > 0 || errorJohn N. Hansen Guernica - Pablo Picasso Panoramic Puzzle 3000 PiecesnetworkError);
}),
fetchExchange,
],
});

In the above example we'll retry when we have graphQLErrors or a networkError, we can go more granular and check for certain errors in graphQLErrors.

In case of a network error, e.g., when part the infrastructure is down, but a fallback GraphQL endpoint is available, e.g., from a different provider on a different domain, the retryWith option allows for client-side failover. This could also be used in case of a graphQLError, for example, when APIs are deployed via a windowing strategy, i.e., a newer version at URL X, while an older one remains at Y.

Note that finer granularity depending on custom requirements may be applicable, and that this does not allow for balancing load.

const fallbackUrl = 'http://localhost:1337/anotherGraphql';

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const options = {
initialDelayMs: 1000,
maxDelayMs: 15000,
randomDelay: true,
maxNumberAttempts: 2,
retryWith: (error, operation) 1000 Piece - Museum Painting - Jigsaw Puzzle - Roses de Nice on a Table 1882|by Henri Fantin-Latour |Still Life Series|Study fine Art as You Puzzle|Frame Worthy {
if (error.networkError) {
const context = { Bed Wedge, Foam, Foldable, 12 inchesoperation.context, url: fallbackUrl };
return { ...operationIRIMO IR167-90-2 context };
}

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return null;
},
};
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