注:关于如何在windows,linux下配置redis,详见
这篇文章:)
目前网上有一些链接Redis的C#客户端工具,这里介绍其中也是目前我们企业版产品中所使用的 ServiceStackRedis, 链接地址:
目前网上有一些链接Redis的C#客户端工具,这里介绍其中也是目前我们企业版产品中所使用的 ServiceStackRedis, 链接地址:
https://github.com/mythz/ServiceStack.Redis
下面该链接中的源码包或dll文件,引入到项目中,并添加如下名空间引用(仅限本文):
using
ServiceStack.Common.Extensions;
using ServiceStack.Redis;
using ServiceStack.Redis.Generic;
using ServiceStack.Text;
using ServiceStack.Redis.Support;
using ServiceStack.Redis;
using ServiceStack.Redis.Generic;
using ServiceStack.Text;
using ServiceStack.Redis.Support;
注:ServiceStackRedis封装了大量方法和对象,这里只摘有代表性的内容介绍,更多内容参见其官方文档。
声明一个客户端对象:
protected RedisClient Redis = new RedisClient("10.0.4.227", 6379);//redis服务IP和端口
一 .基本KEY/VALUE键值对操作:
1. 添加/获取:
List
<
string
>
storeMembers
=
new
List
<
string
>
();
storeMembers.ForEach(x => Redis.AddItemToList( " additemtolist " , x));
storeMembers.ForEach(x => Redis.AddItemToList( " additemtolist " , x));
注:也可直接使用AddRangeToList方法将一组数据装入如:
Redis.AddRangeToList("addarrangetolist", storeMembers);
2 . 获取数据
var members
=
Redis.GetAllItemsFromList(
"
additemtolist
"
);
members.ForEach(s => Response.Write( " <br/>additemtolist : " + s));
members.ForEach(s => Response.Write( " <br/>additemtolist : " + s));
3. 获取指定索引位置数据
var item
=
Redis.GetItemFromList(
"
addarrangetolist
"
,
2
);
4. 移除:
var list
=
Redis.Lists[
"
addarrangetolist
"
];
list.Clear(); // 清空
list.Remove( " two " ); // 移除指定键值
list.RemoveAt( 2 ); // 移除指定索引位置数据
list.Clear(); // 清空
list.Remove( " two " ); // 移除指定键值
list.RemoveAt( 2 ); // 移除指定索引位置数据
public
class
UserInfo
{
public long Id { set ; get ; }
public string UserName { get ; set ; }
public int Age { get ; set ; }
}
{
public long Id { set ; get ; }
public string UserName { get ; set ; }
public int Age { get ; set ; }
}
1. 通常方式(底层使用json序列化):
Redis.Set
<
UserInfo
>
(
"
userinfo
"
,
new
UserInfo() { UserName
=
"
李四
"
, Age
=
45
});
UserInfo userinfo = Redis.Get < UserInfo > ( " userinfo " );
UserInfo userinfo = Redis.Get < UserInfo > ( " userinfo " );
注:当然上面方式也适合于基本类型,如:
Redis.Set
<
int
>
(
"
my_age
"
,
12
);
//
或Redis.Set("my_age", 12);
int age = Redis.Get < int > ( " my_age " );
int age = Redis.Get < int > ( " my_age " );
2. object序列化方式存储:
var ser
=
new
ObjectSerializer();
//
位于namespace ServiceStack.Redis.Support;
bool result = Redis.Set < byte [] > ( " userinfo " , ser.Serialize( new UserInfo() { UserName = " 张三 " , Age = 12 }));
UserInfo userinfo = ser.Deserialize(Redis.Get < byte [] > ( " userinfo " )) as UserInfo;
// 也支持列表
Redis.Set < byte [] > ( " userinfolist_serialize " , ser.Serialize(userinfoList));
List < UserInfo > userList = ser.Deserialize(Redis.Get < byte [] > ( " userinfolist_serialize " )) as List < UserInfo > ;
bool result = Redis.Set < byte [] > ( " userinfo " , ser.Serialize( new UserInfo() { UserName = " 张三 " , Age = 12 }));
UserInfo userinfo = ser.Deserialize(Redis.Get < byte [] > ( " userinfo " )) as UserInfo;
// 也支持列表
Redis.Set < byte [] > ( " userinfolist_serialize " , ser.Serialize(userinfoList));
List < UserInfo > userList = ser.Deserialize(Redis.Get < byte [] > ( " userinfolist_serialize " )) as List < UserInfo > ;
需要说明的是在测试过程中发现JSON序列化的效率要比 object序列化高一些。
三.存储表格对象,比如:
using
(var redisUsers
=
Redis.GetTypedClient
<
UserInfo
>
())
{
redisUsers.Store( new UserInfo { Id = redisUsers.GetNextSequence(), UserName = " daizhj " , Age = 12 });
redisUsers.Store( new UserInfo { Id = redisUsers.GetNextSequence(), UserName = " daizhenjun " , Age = 13 });
var allUsers = redisUsers.GetAll(); // 就像操作ado对象一样,可以进行CRUD等操作
allUsers.ForEach(s => Response.Write( " <br/>user : " + s.UserName + " age: " + s.Age));
}
{
redisUsers.Store( new UserInfo { Id = redisUsers.GetNextSequence(), UserName = " daizhj " , Age = 12 });
redisUsers.Store( new UserInfo { Id = redisUsers.GetNextSequence(), UserName = " daizhenjun " , Age = 13 });
var allUsers = redisUsers.GetAll(); // 就像操作ado对象一样,可以进行CRUD等操作
allUsers.ForEach(s => Response.Write( " <br/>user : " + s.UserName + " age: " + s.Age));
}
四.使用客户端链接池模式提升链接速度:
public
static
PooledRedisClientManager CreateManager(
string
[] readWriteHosts,
string
[] readOnlyHosts)
{
// 支持读写分离,均衡负载
return new PooledRedisClientManager(readWriteHosts, readOnlyHosts, new RedisClientManagerConfig
{
MaxWritePoolSize = 5 , // “写”链接池链接数
MaxReadPoolSize = 5 , // “写”链接池链接数
AutoStart = true ,
});
}
{
// 支持读写分离,均衡负载
return new PooledRedisClientManager(readWriteHosts, readOnlyHosts, new RedisClientManagerConfig
{
MaxWritePoolSize = 5 , // “写”链接池链接数
MaxReadPoolSize = 5 , // “写”链接池链接数
AutoStart = true ,
});
}
声明链接池对象(这里只使用一个redis服务端):
PooledRedisClientManager prcm
=
CreateManager(
new
string
[] {
"
10.0.4.210:6379
"
},
new
string
[] {
"
10.0.4.210:6379
"
});
List < UserInfo > userinfoList = new List < UserInfo > ();
userinfoList.Add( new UserInfo() { UserName = " pool_daizhj " , Age = 1 });
userinfoList.Add( new UserInfo() { UserName = " pool_daizhj1 " , Age = 2 });
List < UserInfo > userinfoList = new List < UserInfo > ();
userinfoList.Add( new UserInfo() { UserName = " pool_daizhj " , Age = 1 });
userinfoList.Add( new UserInfo() { UserName = " pool_daizhj1 " , Age = 2 });
从池中获取一个链接:
using
(IRedisClient Redis
=
prcm.GetClient())
{
Redis.Set( " userinfolist " , userinfoList);
List < UserInfo > userList = Redis.Get < List < UserInfo >> ( " userinfolist " );
}
{
Redis.Set( " userinfolist " , userinfoList);
List < UserInfo > userList = Redis.Get < List < UserInfo >> ( " userinfolist " );
}
1.前三种方式我在本地测试发现存取效率从高到底,具体原因还待分析。
2.如只想使用长链接而不是链接池的话,可以直接将下面对象用static方式声明即可:
protected static RedisClient Redis = new RedisClient("10.0.4.227", 6379);
这样在redis服务端显示只有一个客户链接
3.与memcached测试过程中发现,在存储时两者效率接近(使用本文第一种方式),在取数据时memcached速度比redis要快一些(毫秒级差异),这一点并不像网上一些文章所说的那样,看来在实际开发和生产环境下还要以使用背景及结果为准。
测试代码下载链接: