How to fix rate limit issues in Supabase?

 

Step 1: Identify the Rate Limit

 

First, understand the rate limits that Supabase imposes. Supabase's rate limits are typically based on their pricing plan and can include limits on requests per minute, requests per day, etc. Check their official documentation or your current plan to understand these limits.

 

Step 2: Implement Client-Side Throttling

 

To avoid hitting the rate limit, implement throttling on the client side. This involves limiting the number of requests sent to the server within a specific time window.

const throttle = (fn, wait) => {
  let lastTime = 0;

  return function(...args) {
    const now = new Date().getTime();
    if (now - lastTime >= wait) {
      fn.apply(this, args);
      lastTime = now;
    }
  };
};

const fetchData = () => {
  // Your fetch request to Supabase
  console.log('Request made');
};

const throttledFetchData = throttle(fetchData, 1000); // Throttle requests to 1 per second

 

Step 3: Implement Server-Side Caching

 

Reduce the number of requests to Supabase by caching data on the server-side. Use a caching mechanism like Redis to store frequently accessed data temporarily.

const redis = require('redis');
const client = redis.createClient();

const fetchDataAndCache = async () => {
  const cacheKey = 'someData';
  
  client.get(cacheKey, async (err, cachedData) => {
    if (cachedData) {
      // If cached data exists, use it
      console.log('Using cached data');
      return JSON.parse(cachedData);
    } else {
      // Fetch from Supabase and cache the result
      console.log('Fetching from Supabase');
      const data = await fetchFromSupabase();

      client.setex(cacheKey, 3600, JSON.stringify(data)); // Cache for 1 hour
      return data;
    }
  });
};

 

Step 4: Utilize Webhooks for Real-Time Changes

 

Instead of continuous polling to fetch updates, use Supabase's subscription feature to listen for real-time changes. This reduces unnecessary API requests.

import { createClient } from '@supabase/supabase-js';

const supabase = createClient('supabaseUrl', 'publicAnonKey');

supabase
  .from('my_table')
  .on('INSERT', payload => {
    console.log('New row added!', payload.new);
  })
  .subscribe();

 

Step 5: Monitor Your Request Usage

 

Keep an eye on your request usage using the Supabase dashboard. Regularly check if you’re nearing the limit so you can take proactive steps.

<p>Visit your Supabase dashboard and navigate to the "Usage" section to monitor your request counts and review any spikes that could lead to hitting your rate limit.</p>

 

Step 6: Upgrade Your Plan

 

If you consistently hit rate limits and your application requirements justify it, consider upgrading your plan for higher limits. Assess your current usage and plan for future growth before upgrading.

<p>Determine your application's current and future needs by evaluating your usage data. Then, compare Supabase's available plans and select one that meets your requirements.</p>

 

Step 7: Batch Requests

 

Reduce the number of separate requests by batching them wherever possible. Combine multiple operations into a single request, particularly useful for insertions and updates.

const { data, error } = await supabase
  .from('my_table')
  .insert([
    { column_a: 'value1', column_b: 'value1' },
    { column_a: 'value2', column_b: 'value2' },
  ]);

if (error) {
  console.error('Insert error:', error);
} else {
  console.log('Insert successful:', data);
}

 

Step 8: Implement Exponential Backoff

 

When retries are necessary, use exponential backoff to space out attempts. This is useful when faced with transient rate limit errors.

const retryWithExponentialBackoff = (fn, retries = 5, delay = 1000) => {
  return fn().catch((err) => {
    if (retries > 0) {
      console.log('Retrying request...');
      return new Promise(resolve =>
        setTimeout(
          () => resolve(retryWithExponentialBackoff(fn, retries - 1, delay * 2)),
          delay
        )
      );
    } else {
      throw err;
    }
  });
};

retryWithExponentialBackoff(fetchData)
  .then(response => console.log('Request succeeded:', response))
  .catch(error => console.error('All retries failed:', error));

 

Step 9: Use a CDN for Static Content

 

Reduce API load by using a Content Delivery Network (CDN) for serving static assets. Offload traffic from your database to the CDN, which can cache and serve static files efficiently.

<p>Configure your CDN for static assets such as images and scripts by updating your URLs from direct Supabase storage links to CDN links. This minimizes load on Supabase's API related to repeated static content requests.</p>