What is batching in GraphQL, and what is its impact on performance?

Batching in GraphQL refers to the process of combining multiple queries or mutations into a single HTTP request, which reduces the number of network round trips. This approach can significantly improve performance by minimizing the latency and overhead associated with making multiple separate requests—particularly in scenarios with multiple concurrent data requirements. However, it requires careful management on the server side to efficiently resolve these batched requests without overloading the system; tools like DataLoader can help.