What are the main approaches to increasing database throughput and scalability?
sobes.tech AI
Answer from AI
Main approaches to increasing database throughput and scalability:
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Sharding — horizontal partitioning of data into parts (shards) stored on different servers. This reduces the load on each individual server and increases overall throughput.
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Replication — creating copies of the database to distribute read load. Writes usually go to the master server, and reads are served from replicas.
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Caching — using external caches (e.g., Redis, Memcached) to store frequently requested data, reducing load on the database.
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Query and index optimization — proper index design and SQL query optimization to reduce execution time.
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Using connection pools — reduces overhead associated with establishing connections to the database.
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Vertical scaling — increasing server resources (CPU, RAM, SSD), but with limits.
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Using specialized DBMSs — for example, NoSQL for certain data types and workloads.
The application of these approaches depends on specific requirements and the architecture of the application.