Airtable Blocks: Multiple useRecords Calls Causing Continuous App Restarts

Other Questions Airtable
1

My custom Airtable block app uses hookRecords on several tables, which triggers repeated restarts. How can I keep all table data updated without multiple reloads?

import { startBlock, getWorkspace, hookData } from '@airtable/blocks/ui';
import React from 'react';

function OptimizedBlock() {
  const workspace = getWorkspace();
  const tables = React.useMemo(() => ({
    items: workspace.getTableByNameIfExists('Inventory'),
    prices: workspace.getTableByNameIfExists('Pricing'),
    clients: workspace.getTableByNameIfExists('Clients')
  }), [workspace]);

  const dataItems = hookData(tables.items);
  const dataPrices = hookData(tables.prices);
  const dataClients = hookData(tables.clients);

  console.log('Data loaded from tables.');
  return <div>Data loaded</div>;
}

startBlock(() => <OptimizedBlock />);
2

In my experience, consolidating multiple hook calls into a flexible custom hook helped resolve similar issues. I ended up using a single hook call that wrapped around a debounced data fetching method. This method delayed updates until the necessary minimum interval had passed, effectively reducing the number of re-renders and consequent restarts. It required restructuring the data flow in the app, but the long-term stability was worth the initial refactor. An approach like this can balance the need for up-to-date data without overloading the block’s rendering cycles.

3

hey i had this too, i ended up creating a single hook call and filtering data after. it limited the multiple refreshes and the app stops restarting constantly. maybe give that a try?

4

A solution that worked well for me was to optimize data subscriptions so that tables only update when they are strictly necessary. I implemented a mechanism where the component conditionally subscribes to table changes based on the active UI section. This meant that irrelevant data did not trigger updates, which in turn reduced the number of component re-renderings. I also introduced a controlled timer to delay batch processing of incoming data, ensuring that rapid successive changes did not result in multiple reloads. This strategy provided a smoother and more predictable update process.

5

I faced a similar challenge in my own project and found that compartmentalizing the data flow really helped. Instead of placing multiple hooks in a single component, I restructured the app so that different parts of the UI manage their individual table subscriptions independently. This way, each part refreshes only when necessary instead of all at once. Additionally, I started using state batching to mitigate unwanted rapid updates which helped reduce the number of complete re-renders. This separation allowed for more control over reactivity and a more stable user experience.

6

hey, i solved a similar issue by splitting the data hooks into separate components. this way, only the parts that need to update do so, reducing unnecessary app restarts. hope this helps clear the reloads for you!