How to optimize database caching?

Date:2023-01-07
1. Use a caching system: Utilize an external caching system such as Redis, Memcache or Varnish. This will allow you to store query results and other data to speed up retrieval times. 2. Compress data: Compress relational database query results to reduce the size of the data transferred from the database to the caching layer. 3. Keep in memory: Keeping commonly used data in memory will allow for faster access and reduce database queries. 4. Enable Query Caching: This feature is available for most popular database systems and it can be used to cache frequently used queries. 5. Monitor Cache Hit Rates: Monitor the hit rate for your cache. Higher hit rates mean better caching performance. 6. Use write-through caching: Still cache write operations and propagate caches across multiple servers for better performance. 7. Tune Database Queries: Tune database queries for best performance and make sure the query is properly optimized. 8. Implement an Application Cache: Implement an application cache that can store application objects and data that is frequently accessed. 9. Minimize Contention: Utilize database connection pools to minimize contention and lock contention on database tables. 10. Scale Out Database Hosts: When necessary, add database nodes to scale out database operations and spread the load more evenly across the database hardware.
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