Millised skaleerimismeetodid on rakendatavad andmete jaotamiseks andmebaasis?

For scaling and distributing data in a database, the following methods are used:

• Sharding (Partitioning) — dividing data into parts (shards), which are stored on different servers. This allows load distribution and increased capacity.
• Replication — creating copies of the database to improve availability and fault tolerance.
• Partitioning — logical division of tables into parts based on certain criteria (e.g., by date), which speeds up queries and data management.

Example of sharding by key range:

// Pseudocode example for selecting a shard based on userId
int shardId = userId % numberOfShards;
// Request to the corresponding server with shardId

The choice of method depends on performance requirements, data volume, and application architecture.