Question 1

How do I store and retrieve data with unqlite.rs?

Accepted Answer

Use methods like `kv_store` for saving key-value pairs and `kv_fetch` for retrieval, as shown in the README example. For document storage, similar APIs are available based on the dual storage model.

Question 2

Is unqlite.rs better than SQLite for embedded Rust projects?

Accepted Answer

unqlite.rs is better for NoSQL needs like document or simple key-value storage, while SQLite is relational with SQL support. Choose based on your data model; unqlite.rs avoids SQL but offers less query flexibility.

Question 3

Can unqlite.rs handle concurrent writes in a multi-threaded app?

Accepted Answer

The Rust API provides safety, but UnQLite's underlying C library may have concurrency limitations. Check the documentation for thread-safety details; it's best suited for low-concurrency or single-threaded use cases.

Question 4

How to iterate over all records and delete some in unqlite.rs?

Accepted Answer

Use cursor-based iteration with `first()` and `next()` methods, as demonstrated in the README. You can delete entries during traversal by calling `delete()` on a record, which returns the next entry.

Question 5

What are the performance trade-offs of using unqlite.rs?

Accepted Answer

It offers fast embedded access with no network overhead, ideal for local storage. However, performance may lag for complex queries compared to indexed databases, so it's best for simple operations.

Question 6

How to set up unqlite.rs in a Rust project?

Accepted Answer

Add the crate to Cargo.toml and use constructors like `UnQLite::create_temp()` or configure with `Config`. Ensure the C library is available for linking, as it depends on unqlite-sys.

unqlite.rs

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