The best usage scenarios of Memcache caching technology and its performance test

Memcache is a high-performance memory cache system that is often used to speed up access and reduce the pressure on back-end systems such as databases. When using Memcache, developers need to consider how to choose appropriate usage scenarios and their best practices to obtain the best performance and results.

Best usage scenario:

1. Content distribution

Memcache can distribute data on multiple nodes, by increasing the size of the server cluster, The distribution of static data achieves acceleration and load balancing of static content and enhances user access experience.

2. Session cache

For the Session data in the website, Memcache can quickly store and read in memory, greatly speeding up the reading and writing speed. This is very useful for some web applications that have frequent read and write operations on Session data.

3. Cache database query results

When the amount of data processed is large, Memcache can directly return the results from the memory when querying the same data next time, avoiding a large amount of Repeated query operations. This greatly improves performance and relieves pressure on backend systems such as databases. At the same time, using Memcache can also effectively reduce latency and network load, optimizing system performance and response speed.

Performance test:

To further verify the effectiveness of Memcache, we conducted a performance test based on YCSB (Yahoo Cloud Serving Benchmark). The hardware environment used for testing is: 12-core CPU, 64 GB memory, and 16Gbps network bandwidth.

Test scenario:

1. The ratio of read and write operations is 50%:50%.
2. Cache 3 data types: int, string, json.
3. The query operation simulates the number of concurrent users 1000, 2000, 3000, 4000, 5000.

Experimental results:

Through the test, we obtained the following experimental results:

1. The impact of cache setting time on performance

When setting the cache time, we found that the performance is optimal when the cache time is set to 1 minute. Setting the time too short or too long will have a negative impact on performance.

2. The impact of cache size on performance

We used three different cache sizes of 50MB, 100MB, and 200MB for testing, and the performance was best when the cache size was 200MB.

3. The impact of the number of concurrent queries on performance

We have adjusted the number of concurrent queries from 1000, 2000, to 5000. The higher the number of concurrent queries, the lower the performance The decline is obvious.

Summary:

Through testing, we have verified the high performance and superior caching effect of Memcache. When using Memcache, developers need to consider appropriate usage scenarios and best practices, such as distributed caching, session caching, and caching database query results. In addition, setting the appropriate cache time and cache size, and controlling the number of concurrent queries are all important factors to ensure the efficient operation of Memcache.

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