Marc
04/03/2025, 9:13 PMCeligo AI
04/03/2025, 9:13 PMAI generated answer (using internal Slack threads):****** Disclaimer: This response was generated by an artificial intelligence assistant based on previous conversations from multiple Slack channels, and may contain inaccuracies or mistakes. ****** Based on the conversations, it seems like you're encountering a common issue when trying to retrieve a large amount of data from NetSuite. Here are some suggestions that might help: 1. Pagination: Implementing pagination in your SuiteQL or SuiteAPI query can help you retrieve large data sets without hitting the execution time limit. You can retrieve a specific number of records per request and repeat the process until you've retrieved all the data. This is a common practice when dealing with large data sets. 2. Check Your Server: If you're sure that the records exist and should be returned by your query, it might be worth checking your server for any issues. 3. Logging: If you suspect that the issue might be with the restlet, consider adding more logging to your code. This can help you understand what the restlet is outputting for each input and might help you identify the issue. 4. PagedData Methods: If performance is a concern, consider using the PagedData related methods instead of the ResultSet related ones. These methods consume fewer points and take less time when retrieving large numbers of rows. 5. Response Size Limit: Keep in mind that NetSuite has a 10MB limit for response size. If your data exceeds this limit, you might need to reduce the amount of data you're retrieving in each request. Remember, when dealing with large data sets, it's often necessary to retrieve the data in chunks rather than trying to get it all at once. This can help avoid timeouts and other issues related to execution time limits.
Celigo AI
04/03/2025, 9:13 PMSlack thread 1: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.841159821
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.837411
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.836752832
Celigo AI
04/03/2025, 9:13 PM