redis distributed cache

application is started: AppConfig.Cache.IsAutoCache=false; Or app. config or web. config Configuration: When code is partially disabled: Using (MAction action = new MAction ("table name") {action. SetAopState (CYQ. Data. Aop. AopOp. OnlyOuter); // disable automatic caching and retain Aop} When using code control to clear table cache: String key = CacheManage. GetKey (CacheKeyType. AutoCache, "table name"); CacheManage. Instance. Remove (key ); Other

party, the Arbiter, to meet: 1. The only one. Only one primary node in the cluster provides quorum at the same time. 2. Reliable. Can not say hanging on the hanging, the general use of clusters, at least to master prepared. When the primary node is hung, the data is not lost when the client connects to the other nodes. 3. Fast enough. or called high performance. Then we found Redis, which is readily available, simple, and easy to solve in this case

only be judged by ourselves Then we use Redis to put the verification code into Redis and give an expiration time to solve the problem well 1.4 Database Using Redis as a database is a more in-depth use, here to talk about ideas Everyone after the service can be distributed, but for most of the database distribution is

Summary In a high concurrency environment, a large number of read and write requests to the database, the disk IO will become a bottleneck, resulting in excessive response latency, so the cache emerged. Whether it is a stand-alone cache or a distributed cache has its adaptation scenarios and advantages and disadvantag

Redis is a good cache database, the speed of reading data is very efficient. Today we work together to study the use of Redis. Combined with the information on the Internet and their own groping, first look at the installation and configuration. We mainly look at how to use the Redis database on Windows. Download Add

Summary: Development tools 1.Eclipse IDE: Using MAVEN project management, modular. 2. Code generation: Through the interface mode simple configuration, automatically generate the corresponding code, currently includes three ways to generate (add and revise): Single table, one-to-many, tree structure. After the generated code, if you do not need to pay attention to the degree of beauty, after the build can be used. Technology selection (only part of the technology) 1, backend service framework: D

Summary: Development tools 1.Eclipse IDE: Using MAVEN project management, modular. 2. Code generation: Through the interface mode simple configuration, automatically generate the corresponding code, currently includes three ways to generate (add and revise): Single table, one-to-many, tree structure. After the generated code, if you do not need to pay attention to the degree of beauty, after the build can be used. Technology selection (only part of the technology) 1, backend service framework: D

What is Redis? Redis is a simple, efficient, distributed, memory-based cache tool. Assuming a good server, provide key-value caching services over a network connection (similar to a database). Simple, is the outstanding characteristic of Redis. Simple to ensure that the

Out-of-the-box distributed k/v caches have many implementations, most notably redis,memcached. So why do we have to do it ourselves, after we have solved the high latency caused by the large number of RPC calls under the distributed system, we find that many services require a lot of access to the distributed

A few days ago, I heard from Peng chunda in the department about a technology sharing of distributed cache, which is still very rewarding. The PPT is as follows: The subtitle of this sharing is "simple things are never simple". This sentence is very reasonable. The cache seems simple, but it is very exquisite to be a "good"