The "request_timeout: Processing request took too long" error occurs when Supabase Auth API requests exceed their maximum processing time limit. This typically happens with complex authentication flows, high server load, or network issues between your application and Supabase servers.
The "request_timeout: Processing request took too long" error (Error Code: request_timeout) indicates that a request to the Supabase Auth API has exceeded its maximum allowed processing time. Supabase enforces timeout limits on authentication requests to prevent resource exhaustion and ensure system stability. This error is part of Supabase's Auth error codes and typically occurs when: - Authentication operations take longer than the allowed time limit - The Supabase Auth service is experiencing high load - Network latency between your application and Supabase servers is high - Complex authentication flows (MFA, OAuth, SAML) require extensive processing - Database queries triggered by auth operations are slow or blocked The timeout protects both your application and Supabase's infrastructure from hanging requests, but requires developers to implement proper error handling and retry logic for authentication operations.
Add intelligent retry logic with exponential backoff to handle transient timeout errors:
async function retryAuthOperation(operation: () => Promise<any>, maxRetries = 3) {
let lastError;
for (let attempt = 0; attempt < maxRetries; attempt++) {
try {
return await operation();
} catch (error) {
lastError = error;
// Check if it's a timeout error
if (error.message?.includes('request_timeout') || error.code === 'request_timeout') {
// Exponential backoff: 1s, 2s, 4s, etc.
const delay = Math.pow(2, attempt) * 1000;
console.log(`Auth timeout, retrying in ${delay}ms (attempt ${attempt + 1}/${maxRetries})`);
await new Promise(resolve => setTimeout(resolve, delay));
continue;
}
// Not a timeout error, rethrow immediately
throw error;
}
}
throw lastError; // All retries failed
}
// Usage
const { data, error } = await retryAuthOperation(() =>
supabase.auth.signInWithPassword({ email, password })
);Key considerations:
1. Maximum retries: Limit to 3-5 attempts to avoid infinite loops
2. Jitter: Add random jitter to prevent thundering herd problems
3. Circuit breaker: Implement circuit breaker pattern after repeated failures
Simplify auth operations to reduce processing time:
// Instead of multiple sequential auth calls
async function complexAuthFlow() {
// Bad: Multiple sequential calls increase timeout risk
await supabase.auth.signUp({ email, password });
await supabase.auth.updateUser({ data: { profile: '...' } });
await supabase.auth.refreshSession();
// Good: Batch operations where possible
const { data, error } = await supabase.auth.signUp({
email,
password,
options: {
data: { profile: '...' } // Include metadata in signup
}
});
}
// Optimize RLS policies that affect auth
// Check for slow RLS policies on auth-related tables:sql
-- Example: Ensure auth.users table has proper indexes
CREATE INDEX IF NOT EXISTS idx_auth_users_email ON auth.users (email);
CREATE INDEX IF NOT EXISTS idx_auth_users_instance_id ON auth.users (instance_id);
-- Review and optimize slow RLS policies
EXPLAIN ANALYZE SELECT * FROM your_table WHERE ...;
```
Optimization strategies:
1. Minimize auth calls: Combine operations where possible
2. Optimize RLS: Ensure Row Level Security policies are efficient
3. Session size: Keep session data minimal
4. Pre-warm connections: Reuse Supabase client instances
Check Supabase status and implement graceful degradation:
// Check Supabase status before critical operations
async function checkSupabaseStatus() {
try {
const response = await fetch('https://status.supabase.com/api/v2/status.json');
const status = await response.json();
// Check if Auth service is operational
const authStatus = status.components.find(c => c.name === 'Auth');
return authStatus?.status === 'operational';
} catch {
return false; // Assume issues if status check fails
}
}
// Implement fallback authentication
async function authenticateWithFallback(email: string, password: string) {
const isSupabaseHealthy = await checkSupabaseStatus();
if (!isSupabaseHealthy) {
// Fallback to local auth or cached sessions
return await fallbackAuth(email, password);
}
try {
const { data, error } = await supabase.auth.signInWithPassword({
email,
password
});
if (error?.code === 'request_timeout') {
// Try fallback after timeout
console.warn('Supabase auth timeout, using fallback');
return await fallbackAuth(email, password);
}
return { data, error };
} catch (error) {
console.error('Auth failed:', error);
return await fallbackAuth(email, password);
}
}
// Local storage fallback for critical user data
function setupAuthFallback() {
// Store essential user data locally
localStorage.setItem('last_known_auth_state', JSON.stringify({
user: supabase.auth.getUser(),
timestamp: Date.now()
}));
}Adjust client timeout settings and optimize connections:
// Supabase client with custom timeout configuration
import { createClient } from '@supabase/supabase-js';
const supabase = createClient(
process.env.NEXT_PUBLIC_SUPABASE_URL!,
process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY!,
{
auth: {
autoRefreshToken: true,
persistSession: true,
detectSessionInUrl: true,
// Timeout settings
flowType: 'pkce',
// Additional fetch options for timeout control
},
global: {
// Global fetch options
fetch: (url, options) => {
return fetch(url, {
...options,
// Set request timeout
signal: AbortSignal.timeout(10000), // 10 second timeout
});
},
},
}
);
// For Node.js environments, configure keep-alive and connection pooling
const { createClient } = require('@supabase/supabase-js');
const https = require('https');
const agent = new https.Agent({
keepAlive: true,
maxSockets: 50, // Increase connection pool
keepAliveMsecs: 1000,
});
const supabase = createClient(url, key, {
global: {
fetch: (url, options) => {
return fetch(url, {
...options,
agent, // Use custom agent for connection pooling
signal: AbortSignal.timeout(15000), // 15 second timeout
});
},
},
});Important configurations:
1. Request timeouts: Set appropriate timeout values (10-30 seconds)
2. Connection pooling: Reuse connections to reduce handshake overhead
3. Keep-alive: Enable HTTP keep-alive for persistent connections
4. Retry configuration: Use libraries with built-in retry support
Reduce auth API calls with caching and optimistic UI:
// Cache auth state to reduce API calls
class AuthCache {
private cache = new Map<string, { data: any; timestamp: number }>();
private readonly TTL = 5 * 60 * 1000; // 5 minutes
async getAuthState() {
const cached = this.cache.get('auth_state');
if (cached && Date.now() - cached.timestamp < this.TTL) {
return cached.data; // Return cached data
}
// Fetch fresh data
const { data } = await supabase.auth.getSession();
this.cache.set('auth_state', { data, timestamp: Date.now() });
return data;
}
invalidate() {
this.cache.delete('auth_state');
}
}
// Optimistic updates for auth operations
async function optimisticSignIn(email: string, password: string) {
// Immediately update UI optimistically
updateUI({ loading: true, user: null });
try {
const { data, error } = await supabase.auth.signInWithPassword({
email,
password
});
if (error) {
// Rollback optimistic update
updateUI({ loading: false, user: null, error });
throw error;
}
// Confirm optimistic update
updateUI({ loading: false, user: data.user, error: null });
return data;
} catch (error) {
updateUI({ loading: false, user: null, error });
throw error;
}
}
// Use service workers for offline auth
if ('serviceWorker' in navigator) {
navigator.serviceWorker.register('/auth-sw.js').then(() => {
console.log('Auth service worker registered');
});
}Caching strategies:
1. Session caching: Cache auth session data
2. Optimistic UI: Update UI immediately, rollback on error
3. Offline support: Service workers for offline auth
4. Stale-while-revalidate: Show cached data while fetching fresh
Implement monitoring to identify timeout patterns:
// Track auth request metrics
class AuthMetrics {
private timeouts = 0;
private totalRequests = 0;
private timeoutTimestamps: number[] = [];
trackRequest(startTime: number) {
this.totalRequests++;
return (error?: any) => {
const duration = Date.now() - startTime;
if (error?.code === 'request_timeout') {
this.timeouts++;
this.timeoutTimestamps.push(Date.now());
// Log timeout details
console.warn(`Auth timeout: duration=${duration}ms, totalTimeouts=${this.timeouts}`);
// Alert if timeout rate is high
if (this.timeouts > 10 && this.timeouts / this.totalRequests > 0.1) {
this.alertHighTimeoutRate();
}
}
// Log all auth request durations
console.log(`Auth request: duration=${duration}ms, success=${!error}`);
};
}
private alertHighTimeoutRate() {
// Send alert to monitoring service
console.error(`High auth timeout rate: ${this.timeouts}/${this.totalRequests} requests timed out`);
// Could integrate with:
// - Sentry
// - Datadog
// - Custom alerting system
}
getMetrics() {
return {
timeouts: this.timeouts,
totalRequests: this.totalRequests,
timeoutRate: this.totalRequests > 0 ? this.timeouts / this.totalRequests : 0,
recentTimeouts: this.timeoutTimestamps.filter(ts => Date.now() - ts < 3600000).length
};
}
}
// Usage
const metrics = new AuthMetrics();
async function monitoredAuthRequest() {
const startTime = Date.now();
const track = metrics.trackRequest(startTime);
try {
const result = await supabase.auth.getSession();
track(); // No error
return result;
} catch (error) {
track(error); // Track error
throw error;
}
}
// Periodic metrics reporting
setInterval(() => {
const m = metrics.getMetrics();
console.log('Auth metrics:', m);
}, 60000); // Every minuteMonitoring aspects:
1. Timeout rate: Percentage of requests timing out
2. Pattern analysis: Time of day, specific endpoints
3. Duration tracking: Request duration percentiles
4. Alerting: Proactive alerts for degradation
## Supabase Auth Timeout Limits
Supabase Auth API has several timeout limits that can trigger the "request_timeout" error:
### Default Timeout Limits
- Request processing: 10-30 seconds (varies by endpoint and load)
- OAuth flows: 2-5 minute maximum for complete flows
- MFA operations: 2-3 minutes for completion
- SAML/SSO: 5 minute maximum for enterprise auth flows
### Plan-Specific Limits
- Free Tier: More aggressive timeouts during peak load
- Pro Tier: Higher timeout limits and priority processing
- Enterprise: Custom timeout configurations available
## Network Considerations
### Regional Latency
Supabase Auth servers are distributed globally. Consider:
1. Region selection: Choose the region closest to your users
2. Edge functions: Use Supabase Edge Functions in same region as Auth
3. CDN: Leverage Supabase's CDN for static assets
### Connection Optimization
1. HTTP/2: Ensure HTTP/2 support for multiplexing
2. TCP tuning: Adjust TCP settings for high-latency networks
3. DNS caching: Implement DNS caching to reduce lookup times
## Error Handling Best Practices
### Graceful Degradation
// Comprehensive error handling strategy
class AuthErrorHandler {
async handleAuthError(error: any, operation: string) {
switch (error.code) {
case 'request_timeout':
// Timeout-specific handling
await this.handleTimeout(error, operation);
break;
case 'over_request_rate_limit':
// Rate limit handling
await this.handleRateLimit(error);
break;
default:
// Generic error handling
console.error(`Auth error in ${operation}:`, error);
throw error;
}
}
private async handleTimeout(error: any, operation: string) {
// Log timeout for analysis
console.warn(`Auth timeout in ${operation}:`, {
timestamp: new Date().toISOString(),
operation,
error: error.message
});
// Implement fallback based on operation type
if (operation === 'signIn') {
return await this.fallbackSignIn();
}
// For non-critical operations, return null/undefined
return null;
}
}### Circuit Breaker Pattern
Implement circuit breaker to prevent cascading failures:
1. Closed: Normal operation
2. Open: Fail fast after threshold
3. Half-open: Test recovery periodically
## Performance Testing
### Load Testing Auth Endpoints
# Use k6 for load testing
k6 run --vus 50 --duration 5m auth-test.js### Monitoring Tools
1. Supabase Dashboard: Built-in metrics and logs
2. New Relic/Datadog: Custom APM integration
3. Custom dashboards: Real-time timeout monitoring
## When to Contact Support
Contact Supabase support if:
1. Timeout rate exceeds 5% consistently
2. Timeouts occur during off-peak hours
3. Multiple regions affected simultaneously
4. Timeouts correlate with specific Auth features
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