This repository contains a Rust example demonstrating sharding logic and CRUD operations across multiple shards using hash-based sharding.
- Rust Environment: Ensure you have Rust installed on your system.
This example doesn’t require external crates for simplicity, but in a real application, you might consider crates like diesel for ORM, tokio for async, and serde for serialization.
The core logic for sharding and CRUD operations is implemented in src/main.rs
. Below is a simplified overview of the key components:
Represents a database shard. It’s a simple key-value store for this example.
Manages multiple shards and distributes data among them based on the hash of the key.
Implemented as methods on ShardedDatabase, which delegate operations to the appropriate shard based on the key.
Execute your program with Cargo:
cargo run
This will compile and run the Rust application, demonstrating simple CRUD operations across sharded in-memory data stores.
To extend this example to work with a real database:
- Setup Database Instances: Each acting as a shard.
- Database Connections: Use a Rust database driver (like diesel for SQL databases) to connect to and interact with each shard.
- Error Handling: Add comprehensive error handling for database operations.
- Asynchronous Operations: Use async/await for non-blocking database IO operations, likely requiring an async runtime like tokio.