To optimize a Firestore application for high-performance read operations, consider the following strategies.
Firstly, denormalize your data by duplicating it across documents or collections to reduce the number of reads required per operation. This approach can increase performance but requires careful management to ensure consistency.
Secondly, use compound queries and indexes effectively. Compound queries allow you to retrieve data based on multiple fields in a single query, reducing the need for additional reads. Indexes speed up these queries but require storage space.
Thirdly, cache frequently accessed data locally using Firestore’s offline persistence feature. This reduces the need for network requests, improving read performance especially in low connectivity scenarios.
Lastly, batch your read operations where possible. Batching allows you to perform multiple operations in a single request, reducing overhead and increasing efficiency.
