Avoiding redundant API calls by caching files
Hiya 👋 I'm Pranav. I'm a recent computer science grad who loves punching keys, napping while coding and lifting weights. This space is a collection of my journey of active learning from blogs, books and papers.
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Introduction
File caching is a method of storing temporary copies of frequently accessed files or data closer to the user than if they have to be fetched from regular data storage. The cache serves as a buffer between the end-user and the original data source.
Benefits
It reduces the latency as serving data from a cache reduces the time taken to access frequently requested information.
It also lowers the network bandwidth as it decreases the amount of data transmitted over the network, leading to reduced bandwidth usage.
How to avoid redundant API calls?
Making unnecessary or duplicate API calls can lead to increased latency, higher server load, and potential data inconsistencies. To mitigate this, we can consider the following strategies:
Debouncing and Throttling: Limit the frequency of API calls during rapid user interactions.
Caching Responses: Storing responses from API calls and reusing them when the same data is requested again within a certain timeframe.
Request Deduplication: Before making an API call, checking if an identical request is already in progress or if the data is already available.
