9/13/2023 0 Comments Coda and airtable integrationsThat said, base size can still play a part in performance. This is because a base does not need to be “large” in order to have a high request volume – in the example above, a base that has many integrations may not be anywhere near record limits, but could still have an incredibly high request volume if it is constantly receiving requests from integrations in real-time. How does base size factor into performance?Ĭonfusion may occur when base performance is impacted on a base that is not at or near record limits. Key takeaway: Use cases like this will lead to constant API requests that can fill up the request queue, slowing down the base.Instead, Airtable is primarily designed for use cases where all users will be directly interacting within the Airtable UI. For this reason, it is important to note that Airtable is not intended to be a backend hosting service/real-time database like Heroku, Parse, Firebase, or MongoDB.This is because the manual request has to wait behind all of the API requests. If a human user then accesses the base when the queue is overloaded with integration requests, then they might find the base is slow to load tables or may even crash when taking manual actions in the base.If the external integrations are set up to make requests to the base 24/7, then the queue may get overloaded with requests.API requests from custom integrations or third-party tools like Zapierįor example, let’s say you have a base that includes custom API integrations, third-party integrations, and syncs:.Ultimately, it’s important to consider that it is typically automated actions as opposed to human actions which will cause high volume and backup the request queue. If there is a high volume of requests in the queue, then the last request may take some time to process as it waits for the tasks before it finishes.ĭue to the complex nature of performance, a precise limit or expected delay in processing through a backlog of actions to perform is difficult to quantify. So, if too many requests get added to the queue, then the requests at the end of the queue have to wait to be processed. While the base is able to process requests quickly, it processes one request at a time. When users take actions in the base, such as loading a view, editing a record, or creating a record, the actions count as requests in the queue. Platform(s) Web/Browser, Mac app, Windows app, and mobile apps Related readingīase performance can be thought of as a queue of tasks that Airtable servers perform on the backend. Owners/ Creators - Although all users can help to ensure the best possible base performance by identifying potential issues, fixing the underlying issue or restructuring a base can only be performed by users with owner/creator permissions. Introduction Plan availability All plan types Permissions This article will help explain this complex topic and offer tips on how to improve base performance both proactively and reactively.
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