Horizontal Sharding Code Example

Horizontal sharding, also known as sharding across the rows, is a method of partitioning data across multiple databases or database clusters. This tutorial will provide a code example in Python to demonstrate how to implement horizontal sharding.

Prerequisites

Basic knowledge of Python programming
Familiarity with database operations in Python

Implementation

Here's an example of how to implement horizontal sharding in Python:

import random

class HorizontalSharding:
    def __init__(self, shard_count):
        self.shard_count = shard_count
        self.shards = [f"shard_{i}" for i in range(shard_count)]

    def get_shard(self, key):
        return self.shards[key % self.shard_count]

# Usage
sharding = HorizontalSharding(shard_count=3)
key = random.randint(1, 1000)
shard = sharding.get_shard(key)
print(f"The key {key} belongs to shard {shard}.")

In this example, we create a HorizontalSharding class that takes the number of shards as an argument. The get_shard method calculates which shard a given key should belong to based on the modulus operation.

Benefits of Horizontal Sharding

Scalability: Horizontal sharding allows you to scale out by adding more shards as your data grows.
High Availability: If one shard fails, other shards can continue to serve data.
Performance: Distributing data across multiple shards can improve read and write performance.

Horizontal Sharding Code Example

Prerequisites

Implementation

Benefits of Horizontal Sharding

Further Reading