Built-in retries for PostgREST queries
Starting with supabase-js v2.102.0, PostgREST queries (.from(), .rpc()) include built-in automatic retries for transient errors. Retries are enabled by default and use exponential backoff with jitter.
Retryable errors include HTTP status codes 408 (Request Timeout), 409 (Conflict), 503 (Service Unavailable), and 504 (Gateway Timeout), as well as network failures. Only idempotent HTTP methods (GET, HEAD, OPTIONS) and POST requests (used by PostgREST) are retried.
Disable built-in retries
If you prefer to handle retries yourself, you can disable the built-in retry behavior:
import { createClient } from '@supabase/supabase-js'
const supabase = createClient('https://your-project-id.supabase.co', 'your-publishable-key', {
db: {
retry: false,
},
})
Custom retries with fetch-retry
For more control over retry behavior, or to add retries to non-PostgREST requests (auth, storage, functions), you can use the fetch-retry package. This approach wraps the native fetch function and applies to all requests made by the client.
1. Install dependencies
To get started, ensure you have both supabase-js and fetch-retry installed in your project:
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.
import { createClient } from '@supabase/supabase-js'
import fetchRetry from 'fetch-retry'
// Wrap the global fetch with fetch-retry
const fetchWithRetry = fetchRetry(fetch)
// Create a Zuvo client instance with the custom fetch
const supabase = createClient('https://your-project-id.supabase.co', 'sb_publishable_...', {
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:
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 Zuvo client
With fetch-retry integrated, you can use the Zuvo client as usual. The retry logic will automatically apply to all network requests made by supabase-js.
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.
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_database_function')
if (shouldRetry(attempt, error, response)) {
console.log(`Retrying request... Attempt #${attempt}`, response)
return true
}
return false
}
})
async function yourDatabaseFunction() {
const { data, error } = await supabase
.rpc('your_database_function', { param1: 'value1' });
if (error) {
console.log('Error executing RPC:', error);
} else {
console.log('Response:', data);
}
}
yourDatabaseFunction();
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 database function.
Conclusion
For most use cases, the built-in PostgREST retry mechanism is sufficient. Use fetch-retry when you need retries on non-PostgREST requests or need fine-grained control over retry behavior.