When building REST APIs, you often encounter situations where a request might query more data than the available memory can handle. This scenario is particularly common when dealing with large datasets, logs, or analytics. Handling these requests efficiently requires a strategy that ensures data can be retrieved and processed without crashing the system. In this article, we will explore strategies to address this challenge, with examples of code, demonstrations, and outcomes that help clarify the solution. We’ll look into concepts such as pagination, streaming, and batching. By the end, you’ll have actionable insights on how to handle these situations in your REST APIs.