azure redis cache

Redis integrates Spring with cache instances Original works of Lin bingwen Evankaka. Reprinted please indicate the source http://blog.csdn.net/evankaka Abstract: This article introduces how to configure redis in Spring, and uses the idea of AOP in Spring to cut the cache method into the class or method that needs to en

Analysis of redis Cache methods on the PHP website Author: Wucl Time: 2014-02-05 Chapter content: basic background, analysis content, and personal experience (this person has no moral character and writes anything he thinks .).1. basic background: To speed up page access and reduce the pressure on accessing the database. 2. Redis

suitable as a storage instead of a cache-Data consistency: memcached provides CAS commands to guarantee. And Redis provides the functionality of a transaction that guarantees the atomicity of a sequence of commands, which is not interrupted by any action.Redis Data Types Redis has 5 types of data: string (String), hash (hash table), list (linked list), set (set

, features such as replication, persistence (persistence), and client-side sharding (client-side sharding) make it easy for users to extend Redis into a system that can contain hundreds of GB of data and process millions of requests per second.Using Redis can greatly improve the performance of our application, such as a novel website, need to display the top 10 reading volume of the novel, if every time to

Redis cache failure story to start with the expire command, expire allows the user to specify a time-out for a key, and the value corresponding to the key will be erased after that time. This article mainly on the basis of the analysis of Redis source code to stand on the Redis designer's perspective to consider the pr

types than memcached, Redis supports list, Set, SortedSet, HashMap and many other data structures;9. Persistence, memcached does not have a corresponding persistence mechanism, and Redis has an RDB snapshot and aof log two forms of the combination of persistence, to a large extent to ensure data persistence and security, not like memcached after the power outage. three, memcache and

process client requests. The sub-process is responsible for writing memory content into temporary files; Because of the OS copy on write technology, when the parent process processes write requests, the OS creates a copy of the page to be modified, therefore, the address space data of the sub-process is a snapshot of the entire database at the fork moment; After the sub-process writes the snapshot to the temporary file, it replaces the original snapshot file with the temporary file, and then

First, the question The amount of data per query is enormous and requires the server to respond to user requests more quickly. Second, the solution 1. Cache database data via the high-speed server cache 2. In-Memory database Third, mainstream cache and database comparison Common relational database MySQL In-Memory database Re