Need to asynchronously loop through several Airtable bases in getStaticProps. For example:
async function fetchRecords(baseIds) {
return Promise.all(baseIds.map(id => retrieveData(id)));
}
hey, try using a for await loop with try/catch - i found it gives better error handling than promise.all sometimes. also, check your airtable rate limits to avoid issues.
I’ve experimented with various methods to iterate over multiple Airtable bases using Next.js, and I found that controlling the concurrency of your requests is crucial for managing rate limits. In one project, I used a sequential approach inside getStaticProps to avoid hitting Airtable limits, incorporating a manual delay between calls. This method, albeit a bit slower, provided more stability and made it easier to handle potential errors on a per-base basis. Overall, I suggest balancing between parallel requests and individual error handling to optimize your data retrieval.
In my experience, using promise.all with asynchronous calls in getStaticProps works well for small projects, but it can be risky when dealing with multiple Airtable bases because an error in any single request might cause the whole build to fail. I found that implementing individual error catching for each base can provide better stability. Additionally, using a controlled mechanism to limit concurrent requests, possibly with device-specific timing adjustments, prevents hitting rate limits unexpectedly. This approach helped maintain a balance between performance and reliability, ensuring that partial failures were gracefully managed without affecting the complete build process.
hey, consider using a task queu lib (like bull) to control and retry airtable calls. it adds a bit of complexity but can prevent your build from crashing due to one failed call. hope it helps!
In one of my projects, I approached iterating through multiple Airtable bases by implementing a controlled concurrency mechanism. Instead of firing off all requests at once with Promise.all, I used a custom asynchronous loop that throttles the number of active requests. This method provided me with finer control over error handling and ensured I did not exceed Airtable’s rate limits. I incorporated retry logic in case of failures, which improved the overall reliability of the data fetching process during build time.