How can GraphQL optimize the performance of a web application by reducing over-fetching of data?
- Aggressive caching and high server loads
- CQRS (Command Query Responsibility Segregation)
- Custom queries and efficient data selection
- Microservices architecture and request batching
GraphQL optimizes performance by allowing clients to specify custom queries, which include only the data they need. This reduces over-fetching of data that is common in traditional REST APIs. By efficiently selecting data, GraphQL can minimize the amount of unnecessary data transferred over the network, resulting in faster response times and reduced server load. Caching and request batching can further enhance performance.
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