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A conceptual Rust example that simulates the sharding logic and demonstrates how you might perform CRUD operations across multiple shards. This example will use a hash-based sharding approach.

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Rust Sharding CRUD Example

Overview

This repository contains a Rust example demonstrating sharding logic and CRUD operations across multiple shards using hash-based sharding.

Setup

Requirements

  • Rust Environment: Ensure you have Rust installed on your system.

Dependencies

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.

Code Implementation

The core logic for sharding and CRUD operations is implemented in src/main.rs. Below is a simplified overview of the key components:

Shard Structure

Represents a database shard. It’s a simple key-value store for this example.

ShardedDatabase Structure

Manages multiple shards and distributes data among them based on the hash of the key.

CRUD Operations

Implemented as methods on ShardedDatabase, which delegate operations to the appropriate shard based on the key.

Running the Example

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.

Extending to a Real Database

To extend this example to work with a real database:

  1. Setup Database Instances: Each acting as a shard.
  2. Database Connections: Use a Rust database driver (like diesel for SQL databases) to connect to and interact with each shard.
  3. Error Handling: Add comprehensive error handling for database operations.
  4. Asynchronous Operations: Use async/await for non-blocking database IO operations, likely requiring an async runtime like tokio.

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A conceptual Rust example that simulates the sharding logic and demonstrates how you might perform CRUD operations across multiple shards. This example will use a hash-based sharding approach.

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