REST API

How to do automatic retries with supabase-js

Learn how to add automatic retries to your Supabase API requests using fetch-retry.


The fetch-retry package allows you to add retry logic to fetch requests, making it a useful tool for enhancing the resilience of API calls in your Supabase applications. Here's a step-by-step guide on how to integrate fetch-retry with the supabase-js library.

1. Install dependencies

To get started, ensure you have both supabase-js and fetch-retry installed in your project:

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npm install @supabase/supabase-js fetch-retry

2. Wrap the fetch function

The fetch-retry package works by wrapping the native fetch function. You can create a custom fetch instance with retry logic and pass it to the supabase-js client.

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import { createClient } from '@supabase/supabase-js'import fetchRetry from 'fetch-retry'// Wrap the global fetch with fetch-retryconst fetchWithRetry = fetchRetry(fetch)// Create a Supabase client instance with the custom fetchconst supabase = createClient('https://your-supabase-url.supabase.co', 'your-anon-key', { global: { fetch: fetchWithRetry, },})

3. Configure retry options

You can configure fetch-retry options to control retry behavior, such as the number of retries, retry delay, and which errors should trigger a retry.

Here is an example with custom retry options:

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const fetchWithRetry = fetchRetry(fetch, { retries: 3, // Number of retry attempts retryDelay: (attempt) => Math.min(1000 * 2 ** attempt, 30000), // Exponential backoff retryOn: [520], // Retry only on Cloudflare errors})

In this example, the retryDelay function implements an exponential backoff strategy, and retries are triggered only for specific HTTP status codes.

4. Using the Supabase client

With fetch-retry integrated, you can use the Supabase client as usual. The retry logic will automatically apply to all network requests made by supabase-js.

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async function fetchData() { const { data, error } = await supabase.from('your_table').select('*') if (error) { console.error('Error fetching data:', error) } else { console.log('Fetched data:', data) }}fetchData()

5. Fine-Tuning retries for specific requests

If you need different retry logic for certain requests, you can use the retryOn with a custom function to inspect the URL or response and decide whether to retry the request.

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const fetchWithRetry = fetchRetry(fetch, { retryDelay: (attempt) => Math.min(1000 * 2 ** attempt, 30000), retryOn: (attempt, error, response) => { const shouldRetry = (attempt: number, error: Error | null, response: Response | null) => attempt < 3 && response && response.status == 520 // Cloudflare errors && response.url.includes('rpc/your_stored_procedure') if (shouldRetry(attempt, error, response)) { console.log(`Retrying request... Attempt #${attempt}`, response) return true } return false }})async function yourStoredProcedure() { const { data, error } = await supabase .rpc('your_stored_procedure', { param1: 'value1' }); if (error) { console.log('Error executing RPC:', error); } else { console.log('Response:', data); }}yourStoredProcedure();

By using retryOn with a custom function, you can define specific conditions for retrying requests. In this example, the retry logic is applied only to requests targeting a specific stored procedure.

Conclusion

Integrating fetch-retry with supabase-js is a straightforward way to add robustness to your Supabase API requests. By handling transient errors and implementing retry strategies, you can improve the reliability of your application while maintaining a seamless user experience.