Cache frame--redis (i)

one, the installation of the service side

Service side I use redis64-2.6.12.1, version is relatively low, because 2.8 is not on, probably because their computer is Windows reason it.

After the decompression is complete,

Enter into this folder, enter: Redis-server.exe redis.conf, after the service opened successfully, this will be:

Two, installation of the client program

Like memcached, we can also operate the cache by means of CMD, which can be used in the client program.

in the. NET project, I'm using servicestack.redis.3.9.29.0.

Three, simple demo example

Using system;using system.collections.generic;using system.linq;using system.text;using ServiceStack.Common;using        Servicestack.serviceinterface;using servicestack.redis;using Servicestack.text;namespace TestRedis{class Program {        static Redisclient Redis = new Redisclient ("127.0.0.1", 6379); static void Main (string[] args) {//Adds a list of characters to Redis list<string> storemembers = new list&            lt;string>{"One", "one", "three"};            Storemembers.foreach (X=>redis.additemtolist ("Additemtolist", x));            Gets the value set corresponding to the specified key var members = Redis.getallitemsfromlist ("Additemtolist"); Members.            ForEach (S=>console.writeline ("additemtolist:" +s));            Gets the specified index location data var item = redis.getitemfromlist ("Additemtolist", 2);            Console.WriteLine (item);            Remove data var list = redis.lists["Additemtolist"]; List. Clear ();//Clear list. Remove ("both");//Remove the specified key value//Storage Object (JSON serialization method) it is much more efficient than the object serialization method Redis.set<userinfo> ("UserInfo", new UserInfo () {username= "LHC", age=12})            ;            UserInfo UserInfo = redis.get<userinfo> ("UserInfo");            Console.WriteLine ("Name=" +userinfo.username+ "; age=" +userinfo.age);            Store value type data redis.set<int> ("My_age", 12);            int age = redis.get<int> ("My_age");            Console.WriteLine ("age=" + age);            The object serialization method stores var ser = new ServiceStack.Redis.Support.ObjectSerializer (); BOOL Result=redis.set<byte[]> ("UserInfo2", Ser.            Serialize (New UserInfo () {username= "PBC", age=27})); UserInfo Userinfo2=ser.            Deserialize (redis.get<byte[]> ("UserInfo2")) as UserInfo;            Console.WriteLine ("Name=" +userinfo2.username+ "; age=" +userinfo2.age); also supports list list<userinfo> userinfolist = new List<userinfo> {new userinfo{username= "L HCCC ", age=22}, new UserinFo{username= "Bcss", age=100}}; Redis.set<byte[]> ("Userinfolist_serialize", Ser.            Serialize (userinfolist)); list<userinfo> userlist = ser.            Deserialize (redis.get<byte[]> ("Userinfolist_serialize")) as list<userinfo>;                Userlist.foreach (U = {Console.WriteLine ("Name=" +u.username+ "; age=" +u.age);            }                );        Console.readkey (); }    }}

personally, Redis supports more data types than memcached, and memory data can be persisted, performance is good, about the specific technical options analysis, see next month.

Copyright NOTICE: This article for Bo Master original article, without Bo Master permission not reproduced.

Cache frame--redis (i)