Query Cache

It is well known that the system reads data from memory hundreds of times times faster than it does from the hard disk. So now most of the application system, will maximize the use of caching (in memory, a storage area) to improve the system's operational efficiency. MySQL database is no exception. 　　Here, the author will combine their own work experience, with you to explore the MySQL database Cache management skills: How to properly configure the MySQL database cache, improve cache hit rate. 　　When will the application get the data from the cache? Database read from server ...

The recently publicly previewed Azure Redis cache is easily integrated into your Azure Web site application, where I integrate the MVC Movie sample program into Azure Redis cache and deploy it to azure Web services (Websites), about a few About 15 minutes. After the cache is imported, the program is nearly 100 times times faster than the pure database because the data that is often accessed can be obtained directly from the cache ...

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Microsoft http://www.aliyun.com/zixun/aggregation/13357.html ">azure's Web services allow PHP site developers to set up websites (reference classes) if you want to use Cache to improve system performance, you can consider the Redis cache service on Azure (currently in the preview phase). Set up Redis Cache service to use ...

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The core concept of sub-library table is based on MySQL storage. Solving the problem of data storage and access capacity, the product supports the database traffic of previous Tmall double eleven singles day core transaction links, and gradually grew into the standard of Alibaba Group access relational database.

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In the development of friends especially and MySQL have contact friends will encounter sometimes MySQL query is very slow, of course, I refer to the large amount of data millions level, not dozens of, the following we take a look at the resolution of the query slow way. -Often find developers looking up statements that are not indexed or limit n, which can have a significant impact on the database, such as a large table of tens of millions of records to scan all, or do filesort, and the database and server IO impact. This is the case above the mirrored library. And ...

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