目录1.引用Nuget包 ServiceStack.Redis2. string 类型的使用作 &nb
作 者 : 明志德道
我这里就用别人已经封装好的Reids操作类来和大家一起参考了下,看看怎么使用ServiceStack.Redis 操作Redis数据
RedisConfigInfo--redis配置文件信息
/// <summary>
/// redis配置文件信息
/// 也可以放到配置文件去
/// </summary>
public sealed class RedisConfigInfo
{
/// <summary>
/// 可写的Redis链接地址
/// fORMat:ip1,ip2
///
/// 默认6379端口
/// </summary>
public string WriteServerList = "127.0.0.1:6379";
/// <summary>
/// 可读的Redis链接地址
/// format:ip1,ip2
/// </summary>
public string ReadServerList = "127.0.0.1:6379";
/// <summary>
/// 最大写链接数
/// </summary>
public int MaxWritePoolSize = 60;
/// <summary>
/// 最大读链接数
/// </summary>
public int MaxReadPoolSize = 60;
/// <summary>
/// 本地缓存到期时间,单位:秒
/// </summary>
public int LocalCacheTime = 180;
/// <summary>
/// 自动重启
/// </summary>
public bool AutoStart = true;
/// <summary>
/// 是否记录日志,该设置仅用于排查redis运行时出现的问题,
/// 如redis工作正常,请关闭该项
/// </summary>
public bool RecordeLog = false;
}
RedisManager --Redis管理中心 创建Redis链接
/// <summary>
/// Redis管理中心 创建Redis链接
/// </summary>
public class RedisManager
{
/// <summary>
/// redis配置文件信息
/// </summary>
private static RedisConfigInfo RedisConfigInfo = new RedisConfigInfo();
/// <summary>
/// Redis客户端池化管理
/// </summary>
private static PooledRedisClientManager prcManager;
/// <summary>
/// 静态构造方法,初始化链接池管理对象
/// </summary>
static RedisManager()
{
CreateManager();
}
/// <summary>
/// 创建链接池管理对象
/// </summary>
private static void CreateManager()
{
string[] WriteServerConStr = RedisConfigInfo.WriteServerList.Split(',');
string[] ReadServerConStr = RedisConfigInfo.ReadServerList.Split(',');
prcManager = new PooledRedisClientManager(ReadServerConStr, WriteServerConStr,
new RedisClientManagerConfig
{
MaxWritePoolSize = RedisConfigInfo.MaxWritePoolSize,
MaxReadPoolSize = RedisConfigInfo.MaxReadPoolSize,
AutoStart = RedisConfigInfo.AutoStart,
});
}
/// <summary>
/// 客户端缓存操作对象
/// </summary>
public static IRedisClient GetClient()
{
return prcManager.GetClient();
}
}
RedisBase-- 是redis操作的基类,继承自IDisposable接口,主要用于释放内存
/// <summary>
/// RedisBase类,是redis操作的基类,继承自IDisposable接口,主要用于释放内存
/// </summary>
public abstract class RedisBase : IDisposable
{
public IRedisClient iClient { get; private set; }
/// <summary>
/// 构造时完成链接的打开
/// </summary>
public RedisBase()
{
iClient = RedisManager.GetClient();
}
//public static IRedisClient iClient { get; private set; }
//static RedisBase()
//{
// iClient = RedisManager.GetClient();
//}
private bool _disposed = false;
protected virtual void Dispose(bool disposing)
{
if (!this._disposed)
{
if (disposing)
{
iClient.Dispose();
iClient = null;
}
}
this._disposed = true;
}
public void Dispose()
{
Dispose(true);
GC.SuppressFinalize(this);
}
public void Transcation()
{
using (IRedisTransaction irt = this.iClient.CreateTransaction())
{
try
{
irt.QueueCommand(r => r.Set("key", 20));
irt.QueueCommand(r => r.Increment("key", 1));
irt.Commit(); // 提交事务
}
catch (Exception ex)
{
irt.Rollback();
throw ex;
}
}
}
/// <summary>
/// 清除全部数据 请小心
/// </summary>
public virtual void FlushAll()
{
iClient.FlushAll();
}
/// <summary>
/// 保存数据DB文件到硬盘
/// </summary>
public void Save()
{
iClient.Save();//阻塞式save
}
/// <summary>
/// 异步保存数据DB文件到硬盘
/// </summary>
public void SaveAsync()
{
iClient.SaveAsync();//异步save
}
}
RedisStringService--String类型操作帮助类
/// <summary>
/// key-value 键值对:value可以是序列化的数据
/// </summary>
public class RedisStringService : RedisBase
{
#region 赋值
/// <summary>
/// 设置key的value
/// </summary>
public bool Set<T>(string key, T value)
{
//iClient.Db =2;
return base.iClient.Set<T>(key, value);
}
/// <summary>
/// 设置key的value并设置过期时间
/// </summary>
public bool Set<T>(string key, T value, DateTime dt)
{
//iClient.Db = 2;
return base.iClient.Set<T>(key, value, dt);
}
/// <summary>
/// 设置key的value并设置过期时间
/// </summary>
public bool Set<T>(string key, T value, TimeSpan sp)
{
//iClient.Db = 2;
return base.iClient.Set<T>(key, value, sp);
}
/// <summary>
/// 设置多个key/value 可以一次保存多个key value ---多个key value 不是分多次,是一个独立的命令;
/// </summary>
public void Set(Dictionary<string, string> dic)
{
//iClient.Db = 2;
base.iClient.SetAll(dic);
}
#endregion
#region 追加
/// <summary>
/// 在原有key的value值之后追加value,没有就新增一项
/// </summary>
public long Append(string key, string value)
{
return base.iClient.AppendToValue(key, value);
}
#endregion
#region 获取值
/// <summary>
/// 获取key的value值
/// </summary>
public string Get(string key)
{
return base.iClient.GetValue(key);
}
/// <summary>
/// 获取多个key的value值
/// </summary>
public List<string> Get(List<string> keys)
{
return base.iClient.GetValues(keys);
}
/// <summary>
/// 获取多个key的value值
/// </summary>
public List<T> Get<T>(List<string> keys)
{
return base.iClient.GetValues<T>(keys);
}
#endregion
#region 获取旧值赋上新值
/// <summary>
/// 获取旧值赋上新值
/// </summary>
public string GetAndSetValue(string key, string value)
{
return base.iClient.GetAndSetValue(key, value);
}
#endregion
#region 辅助方法
/// <summary>
/// 获取值的长度
/// </summary>
public long GetLength(string key)
{
return base.iClient.GetStringCount(key);
}
/// <summary>
/// 自增1,返回自增后的值 保存的是10 调用后,+1 返回11
/// </summary>
public long Incr(string key)
{
return base.iClient.IncrementValue(key);
}
/// <summary>
/// 自增count,返回自增后的值 自定义自增的步长值
/// </summary>
public long IncrBy(string key, int count)
{
return base.iClient.IncrementValueBy(key, count);
}
/// <summary>
/// 自减1,返回自减后的值,Redis操作是单线程操作;不会出现超卖的情况
/// </summary>
public long Decr(string key)
{
return base.iClient.DecrementValue(key);
}
/// <summary>
/// 自减count ,返回自减后的值
/// </summary>
/// <param name="key"></param>
/// <param name="count"></param>
/// <returns></returns>
public long DecrBy(string key, int count)
{
return base.iClient.DecrementValueBy(key, count);
}
#endregion
}
nuget包是外国人写的,在国内并没有完整的中文文档,也没有专门的人来翻译、封装它,所以上面的代码方法不是很全,还有很多api方法需要自己去官网找然后自己封装。
在这里,上面的封装我就放一边,还是给大家演示ServiceStack原生的API如何使用
public static RedisClient client = new RedisClient("127.0.0.1", 6379);
//1.存入键值对
bool a = client.Set("key_name", "value_11");
//2. 根据key获取值
string data1= client.GetValue("key_name");
//3. 在原有的value上进行追加
long data2 = client.AppendToValue("key_name", "value_11");
// 4.获取值的长度
var data3=client.GetStringCount("key_name");
//5. 数值自增/减,返回自增、自减后的值
client.Set("小明分数", 100);
//自增20,可以自增负值
var data4= client.IncrementValueBy("小明分数", 20);
//自减50
var data5 = client.DecrementValueBy("小明分数", 50);
//6. 插入实体和读取实体
UserInfo userInfo = new UserInfo() { Id = 3, Age = 50, Name = "zxl", Pwd = "123456" };
client.Set("UserInfo_Id_3", userInfo);
UserInfo data6 = client.Get<UserInfo>("UserInfo_Id_3");
//7. 一次性添加多个key-value集合
Dictionary<string, string> dic = new Dictionary<string, string>() {
{ "101", Guid.NewGuid().ToString("N")},
{ "102", Guid.NewGuid().ToString("N")},
{ "103", Guid.NewGuid().ToString("N")},
{ "104", Guid.NewGuid().ToString("N")},
{ "105", Guid.NewGuid().ToString("N")},
{ "106", Guid.NewGuid().ToString("N")}
};
client.SetAll(dic);
//8.获取多个key的 value值集合
List<string> keys = new List<string>(){ "101", "103", "105" };
List<string> data8= client.GetValues(keys);
//9. 重命名key
client.Rename("106", "1066");
//10. 设置key的过期时间(30秒后自动销毁)
bool b2= client.Expire("102", 30);
//11. 删除单个key
bool d1 = client.Remove("101");//删除成功,返回true
bool d2 = client.Remove("ffff"); //删除不存在的数据,返回false
//13.清除全部数据 请小心
client.FlushAll();
以上就是C# 通过ServiceStack 操作Redis的详细内容,更多关于C# ServiceStack 操作Redis的资料请关注编程网其它相关文章!
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本文标题: C# 通过ServiceStack 操作Redis
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