Question 1

How to store custom structs with Heed in Rust?

Accepted Answer

Heed supports Serde-compatible types, so derive Serialize and Deserialize on your structs and use them directly in databases. Check the heed/examples/ directory for practical implementations and the cookbook for advanced usage.

Question 2

Heed vs sled: which is better for embedded databases in Rust?

Accepted Answer

Heed is optimized for LMDB with ACID transactions and minimal overhead, ideal for type-safe storage. Sled offers a different architecture with built-in caching and concurrent writers, so choose based on transaction needs and performance trade-offs.

Question 3

Does Heed work with async Rust applications?

Accepted Answer

Heed is built on synchronous LMDB APIs, so it doesn't natively support async operations. For async contexts, you'll need to run database calls in a blocking thread or use external async wrappers, which can add complexity.

Question 4

How to enable encryption with heed3?

Accepted Answer

To use encryption, compile with the heed3 crate linked to the mdb.master3 branch. Use the convert-to-heed3.sh script to switch crates, and ensure your LMDB submodule is initialized for the encrypted version, as described in the README.

Question 5

What transaction guarantees does Heed provide?

Accepted Answer

Heed ensures ACID compliance by leveraging LMDB's transactional model, with atomic writes and consistent reads. The example code demonstrates safe write and read transactions, ensuring data integrity for critical operations.

Question 6

Can Heed handle large datasets efficiently?

Accepted Answer

Heed is suitable for embedded storage with LMDB's memory-mapped performance, but it's best for datasets that fit within memory constraints. For very large or distributed data, consider LMDB's file size limits and Heed's lack of built-in sharding.

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