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Mastering MySQL's Query Cache: Key Variables and Best Practices for Optimization
- MySQL Query Cache can cache the results of SELECT queries to improve database performance.
- Query Cache avoids the time-consuming steps of query processing and disk access by leveraging the memory access speed.
- The 'query_cache_type' variable controls whether the query cache is enabled, disabled, or set to operate only on demand.
- The 'query_cache_size' variable determines the amount of memory allocated for the query cache.
- The 'query_cache_limit' variable sets the maximum size for individual query results that can be cached.
- The 'query_cache_min_res_unit' variable determines the minimum size in bytes for blocks allocated by the query cache.
- It is important to consider factors such as query patterns, cache invalidation, concurrency, and MySQL version when adjusting cache settings.
- The QCache Fragmentation and QcacheDeleteRate can be used to monitor the Query Cache's performance.
- Adjusting the Query Cache size and optimizing queries can help reduce Qcache Fragmentation and QcacheDeleteRate.
- Tools like Releem can simplify the process of optimizing Query Cache settings by automating adjustments based on actual system load and performance.
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