Question

Which specific architectural strategy allows a system to handle increased database read traffic by distributing data across multiple independent nodes based on a partition key?

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The architectural strategy is called database sharding. Sharding is the process of breaking up a large database into smaller, faster, and more easily managed pieces called shards, with each shard residing on its own independent database server node. To distribute data, the system uses a partition key, which is a specific column or piece of information within each record that determines which shard will hold that data. When an application needs to read data, it first uses the partition key to identify the correct node, then directs the query specifically to that node. This horizontal scaling approach allows the system to handle increased read traffic because the workload is spread across many servers rather than bottlenecking at a single point. For example, in a global user database, the system might use a user ID as the partition key, placing all users with IDs from one to one million on the first node and users from one million one to two million on the second node. By querying only the specific node containing the required user ID, the system avoids searching the entire dataset and achieves faster response times.

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Which specific architectural strategy allows a system to handle increased database read traffic by distributing data across multiple independent nodes based on a partition key?

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