發表於 2023-12-26 13:16:49

Encapsulate why caching database query

Cache invalidation is difficult Management of caching systems can be complex Hosted cache services can be expensive Globally synchronized caching is challenging Debugging cache-related errors can be challenging.results is critical when creating an application to retrieve data from the database. But database queries may gradually slow down as traffic and database size grow. Caching database query results in order to provide users with fast responses can be a cost-effective and simple solution instead of implementing complex query optimization or upgrading the database. Request response lifecycle without cache Request response lifecycle with cache Caching significantly improves performance Using cache to store database query results can significantly improve the performance of your application.

Faster database caches are typically hosted closer to the application server. This reduces the load on the main database, speeds up data retrieval and minimizes network and query latency. Performance wit photo editing servies hout caching Cache performance Faster data retrieval caching eliminates the need to retrieve data from slower disk storage or perform complex database operations. Instead the data is easily available in the cache so subsequent read requests can be retrieved faster. Reduced data retrieval latency can improve application performance and improve response times. Resource-efficient caching reduces disk access and network utilization by quickly delivering frequently accessed data to application servers without the need for round-trips to the database. By efficiently utilizing resources in the database and application servers, system resources are freed so that they .

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Can be allocated to other critical tasks. This improves overall system performance allowing more concurrent requests to be processed without requiring additional hardware resources. Caching improves scalability In addition to performance enhancements, caching also plays a vital role in improving the scalability of an application, enabling it to handle increased load and accommodate higher user concurrency and wider data volumes. . Providing application and database services to users Providing application caching and databases to users Reduce application server and database load Storing frequently accessed data in memory through caching allows data items to be retrieved quickly .


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