using System;
using System.Collections.Concurrent;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Threading;
using NewLife.Collections;
using NewLife.Data;
using NewLife.Log;
using NewLife.Model;
using NewLife.Net;
namespace NewLife.Caching
{
/// <summary>Redi客户端</summary>
/// <remarks>
/// 强烈建议直接new Redis()，并保持唯一对象
/// </remarks>
public class Redis : Cache
{
#region 静态
static Redis()
{
//ObjectContainer.Current.AutoRegister<Redis, Redis>();
}
/// <summary>创建指定服务器的实例</summary>
/// <param name="server">服务器地址。支持前面加上密码，@分隔</param>
/// <param name="db">使用的数据库</param>
/// <returns></returns>
[Obsolete("=>new FullRedis/Redis(\"127.0.0.1\", \"abcd1234\", 3)")]
public static Redis Create(String server, Int32 db)
{
if (server.IsNullOrEmpty() || server == ".") server = "127.0.0.1";
var pass = "";
// 从后面开始找，密码可能带有@
var p = server.LastIndexOf('@');
if (p >= 0)
{
pass = server.Substring(0, p);
server = server.Substring(p + 1);
}
//适配多种配置连接字符
else if (server.Contains(";") && pass.IsNullOrEmpty())
{
var dic = server.SplitAsDictionary("=", ";", true);
pass = dic.ContainsKey("password") ? dic["password"] : "";
server = dic.ContainsKey("server") ? dic["server"] : "";
}
// 借助对象容器，支持外部注入Redis实现
var rds = ObjectContainer.Current.Resolve<Redis>();
rds.Server = server;
rds.Password = pass;
rds.Db = db;
// 执行初始化
rds.Init(null);
return rds;
}
/// <summary>创建指定服务器的实例，支持密码</summary>
/// <param name="server">服务器地址。支持前面加上密码，@分隔</param>
/// <param name="password">密码</param>
/// <param name="db">使用的数据库</param>
/// <returns></returns>
[Obsolete("=>new FullRedis/Redis(\"127.0.0.1\", \"abcd1234\", 3)")]
public static Redis Create(String server, String password, Int32 db)
{
if (server.IsNullOrEmpty() || server == ".") server = "127.0.0.1";
// 借助对象容器，支持外部注入Redis实现
var rds = ObjectContainer.Current.Resolve<Redis>();
rds.Server = server;
rds.Password = password;
rds.Db = db;
// 执行初始化
rds.Init(null);
return rds;
}
#endregion
#region 属性
/// <summary>服务器</summary>
public String Server { get; set; }
/// <summary>密码</summary>
public String Password { get; set; }
/// <summary>目标数据库。默认0</summary>
public Int32 Db { get; set; }
/// <summary>读写超时时间。默认3000ms</summary>
public Int32 Timeout { get; set; } = 3_000;
/// <summary>出错重试次数。如果出现协议解析错误，可以重试的次数，默认3</summary>
public Int32 Retry { get; set; } = 3;
/// <summary>完全管道。读取操作是否合并进入管道，默认false</summary>
public Boolean FullPipeline { get; set; }
/// <summary>自动管道。管道操作达到一定数量时，自动提交，默认0</summary>
public Int32 AutoPipeline { get; set; }
/// <summary>性能计数器</summary>
public PerfCounter Counter { get; set; }
#endregion
#region 构造
/// <summary>实例化</summary>
public Redis() { }
/// <summary>实例化Redis，指定服务器地址、密码、库</summary>
/// <param name="server"></param>
/// <param name="password"></param>
/// <param name="db"></param>
public Redis(String server, String password, Int32 db)
{
Server = server;
Password = password;
Db = db;
}
/// <summary>使用连接字符串初始化</summary>
/// <param name="config"></param>
public override void Init(String config)
{
if (config.IsNullOrEmpty()) return;
var dic = config.SplitAsDictionary("=", ";", true);
if (dic.Count > 0)
{
Server = dic["Server"];
Password = dic["Password"];
Db = dic["Db"].ToInt();
}
}
/// <summary>销毁</summary>
/// <param name="disposing"></param>
protected override void Dispose(Boolean disposing)
{
base.Dispose(disposing);
try
{
Commit();
}
catch { }
_Pool.TryDispose();
}
/// <summary>已重载。</summary>
/// <returns></returns>
public override String ToString() => $"{Name} Server={Server} Db={Db}";
#endregion
#region 子库
//private ConcurrentDictionary<Int32, Redis> _sub = new ConcurrentDictionary<Int32, Redis>();
///// <summary>为同一服务器创建不同Db的子级库</summary>
///// <param name="db"></param>
///// <returns></returns>
//public virtual Redis CreateSub(Int32 db)
//{
// if (Db != 0) throw new ArgumentOutOfRangeException(nameof(Db), "只有Db=0的库才能创建子级库连接");
// if (db == 0) return this;
// return _sub.GetOrAdd(db, k =>
// {
// var r = new Redis
// {
// Server = Server,
// Db = db,
// Password = Password,
// };
// return r;
// });
//}
#endregion
#region 客户端池
class MyPool : ObjectPool<RedisClient>
{
public Redis Instance { get; set; }
protected override RedisClient OnCreate() => Instance.OnCreate();
protected override Boolean OnGet(RedisClient value)
{
// 借出时清空残留
value?.Reset();
return base.OnGet(value);
}
}
/// <summary>创建连接客户端</summary>
/// <returns></returns>
protected virtual RedisClient OnCreate()
{
var svr = Server;
if (svr.IsNullOrEmpty()) throw new ArgumentNullException(nameof(Server));
if (!svr.Contains("://")) svr = "tcp://" + svr;
var uri = new NetUri(svr);
if (uri.Port == 0) uri.Port = 6379;
var rc = new RedisClient(this, uri)
{
Log = Log
};
//if (rds.Db > 0) rc.Select(rds.Db);
return rc;
}
private MyPool _Pool;
/// <summary>连接池</summary>
public IPool<RedisClient> Pool
{
get
{
if (_Pool != null) return _Pool;
lock (this)
{
if (_Pool != null) return _Pool;
var pool = new MyPool
{
Name = Name + "Pool",
Instance = this,
Min = 2,
Max = 1000,
IdleTime = 20,
AllIdleTime = 120,
Log = Log,
};
return _Pool = pool;
}
}
}
/// <summary>执行命令</summary>
/// <typeparam name="TResult">返回类型</typeparam>
/// <param name="key">命令key，用于选择集群节点</param>
/// <param name="func">回调函数</param>
/// <param name="write">是否写入操作</param>
/// <returns></returns>
public virtual TResult Execute<TResult>(String key, Func<RedisClient, TResult> func, Boolean write = false)
{
// 写入或完全管道模式时，才处理管道操作
if (write || FullPipeline)
{
// 管道模式直接执行
var rds = _client.Value;
if (rds == null && AutoPipeline > 0) rds = StartPipeline();
if (rds != null)
{
var rs = func(rds);
// 命令数足够，自动提交
if (AutoPipeline > 0 && rds.PipelineCommands >= AutoPipeline)
{
StopPipeline(true);
StartPipeline();
}
return rs;
}
}
// 读操作遇到未完成管道队列时，立马执行管道操作
if (!write) StopPipeline(true);
// 统计性能
var sw = Counter?.StartCount();
var i = 0;
do
{
// 每次重试都需要重新从池里借出连接
var client = Pool.Get();
try
{
client.Reset();
return func(client);
}
catch (InvalidDataException)
{
if (i++ >= Retry) throw;
}
finally
{
Pool.Put(client);
Counter?.StopCount(sw);
}
} while (true);
}
private readonly ThreadLocal<RedisClient> _client = new ThreadLocal<RedisClient>();
/// <summary>开始管道模式</summary>
public virtual RedisClient StartPipeline()
{
var rds = _client.Value;
if (rds == null)
{
rds = Pool.Get();
rds.Reset();
rds.StartPipeline();
_client.Value = rds;
}
return rds;
}
/// <summary>结束管道模式</summary>
/// <param name="requireResult">要求结果。默认true</param>
public virtual Object[] StopPipeline(Boolean requireResult = true)
{
var rds = _client.Value;
if (rds == null) return null;
_client.Value = null;
// 统计性能
var sw = Counter?.StartCount();
// 管道处理不需要重试
try
{
return rds.StopPipeline(requireResult);
}
finally
{
// 如果不需要结果，则暂停一会，有效清理残留
if (!requireResult) Thread.Sleep(1);
rds.Reset();
Pool.Put(rds);
Counter?.StopCount(sw);
}
}
/// <summary>提交变更。处理某些残留在管道里的命令</summary>
/// <returns></returns>
public override Int32 Commit()
{
var rs = StopPipeline(true);
if (rs == null) return 0;
return rs.Length;
}
#endregion
#region 基础操作
/// <summary>缓存个数</summary>
public override Int32 Count
{
get
{
var client = Pool.Get();
try
{
return client.Execute<Int32>("DBSIZE");
}
finally
{
Pool.Put(client);
}
}
}
/// <summary>所有键</summary>
public override ICollection<String> Keys
{
get
{
if (Count > 10000) throw new InvalidOperationException("数量过大时，禁止获取所有键");
var client = Pool.Get();
try
{
var rs = client.Execute<String[]>("KEYS", "*");
//return rs.Split(Environment.NewLine).ToList();
return rs;
}
finally
{
Pool.Put(client);
}
}
}
/// <summary>获取信息</summary>
/// <returns></returns>
public virtual IDictionary<String, String> GetInfo()
{
var rs = Execute(null, rds => rds.Execute("INFO", "all") as Packet);
if (rs == null || rs.Count == 0) return null;
var inf = rs.ToStr();
return inf.SplitAsDictionary(":", "\r\n");
}
/// <summary>单个实体项</summary>
/// <param name="key">键</param>
/// <param name="value">值</param>
/// <param name="expire">过期时间，秒。小于0时采用默认缓存时间<seealso cref="Cache.Expire"/></param>
public override Boolean Set<T>(String key, T value, Int32 expire = -1)
{
if (expire < 0) expire = Expire;
if (expire <= 0)
return Execute(key, rds => rds.Execute<String>("SET", key, value) == "OK", true);
else
return Execute(key, rds => rds.Execute<String>("SETEX", key, expire, value) == "OK", true);
}
/// <summary>获取单体</summary>
/// <param name="key">键</param>
public override T Get<T>(String key) => Execute(key, rds => rds.Execute<T>("GET", key));
/// <summary>批量移除缓存项</summary>
/// <param name="keys">键集合</param>
public override Int32 Remove(params String[] keys) => Execute(keys.FirstOrDefault(), rds => rds.Execute<Int32>("DEL", keys), true);
/// <summary>清空所有缓存项</summary>
public override void Clear() => Execute(null, rds => rds.Execute<String>("FLUSHDB"), true);
/// <summary>是否存在</summary>
/// <param name="key">键</param>
public override Boolean ContainsKey(String key) => Execute(key, rds => rds.Execute<Int32>("EXISTS", key) > 0);
/// <summary>设置缓存项有效期</summary>
/// <param name="key">键</param>
/// <param name="expire">过期时间</param>
public override Boolean SetExpire(String key, TimeSpan expire) => Execute(key, rds => rds.Execute<String>("EXPIRE", key, (Int32)expire.TotalSeconds) == "1", true);
/// <summary>获取缓存项有效期</summary>
/// <param name="key">键</param>
/// <returns></returns>
public override TimeSpan GetExpire(String key)
{
var sec = Execute(key, rds => rds.Execute<Int32>("TTL", key));
return TimeSpan.FromSeconds(sec);
}
#endregion
#region 集合操作
/// <summary>批量获取缓存项</summary>
/// <typeparam name="T"></typeparam>
/// <param name="keys"></param>
/// <returns></returns>
public override IDictionary<String, T> GetAll<T>(IEnumerable<String> keys) => Execute(keys.FirstOrDefault(), rds => rds.GetAll<T>(keys));
/// <summary>批量设置缓存项</summary>
/// <typeparam name="T"></typeparam>
/// <param name="values"></param>
/// <param name="expire">过期时间，秒。小于0时采用默认缓存时间<seealso cref="Cache.Expire"/></param>
public override void SetAll<T>(IDictionary<String, T> values, Int32 expire = -1)
{
if (values == null || values.Count == 0) return;
if (expire < 0) expire = Expire;
// 优化少量读取
if (values.Count <= 2)
{
foreach (var item in values)
{
Set(item.Key, item.Value, expire);
}
return;
}
Execute(values.FirstOrDefault().Key, rds => rds.SetAll(values), true);
// 使用管道批量设置过期时间
if (expire > 0)
{
var ts = TimeSpan.FromSeconds(expire);
StartPipeline();
try
{
foreach (var item in values)
{
SetExpire(item.Key, ts);
}
}
finally
{
StopPipeline(true);
}
}
}
/// <summary>获取哈希</summary>
/// <typeparam name="T">元素类型</typeparam>
/// <param name="key">键</param>
/// <returns></returns>
public override IDictionary<String, T> GetDictionary<T>(String key) => throw new NotSupportedException("Redis未支持该功能，需要new FullRedis");
/// <summary>获取队列</summary>
/// <typeparam name="T">元素类型</typeparam>
/// <param name="key">键</param>
/// <returns></returns>
public override IProducerConsumer<T> GetQueue<T>(String key) => throw new NotSupportedException("Redis未支持该功能，需要new FullRedis");
/// <summary>获取栈</summary>
/// <typeparam name="T">元素类型</typeparam>
/// <param name="key">键</param>
/// <returns></returns>
public override IProducerConsumer<T> GetStack<T>(String key) => throw new NotSupportedException("Redis未支持该功能，需要new FullRedis");
/// <summary>获取Set</summary>
/// <typeparam name="T"></typeparam>
/// <param name="key"></param>
/// <returns></returns>
public override ICollection<T> GetSet<T>(String key) => throw new NotSupportedException("Redis未支持该功能，需要new FullRedis");
#endregion
#region 高级操作
/// <summary>添加，已存在时不更新</summary>
/// <typeparam name="T">值类型</typeparam>
/// <param name="key">键</param>
/// <param name="value">值</param>
/// <param name="expire">过期时间，秒。小于0时采用默认缓存时间<seealso cref="Cache.Expire"/></param>
/// <returns></returns>
public override Boolean Add<T>(String key, T value, Int32 expire = -1)
{
//if (expire < 0) expire = Expire;
if (expire <= 0)
return Execute(key, rds => rds.Execute<Int32>("SETNX", key, value) == 1, true);
else
return Execute(key, rds => rds.Execute<Int32>("SETNX", key, value, expire) == 1, true);
}
/// <summary>设置新值并获取旧值，原子操作</summary>
/// <typeparam name="T">值类型</typeparam>
/// <param name="key">键</param>
/// <param name="value">值</param>
/// <returns></returns>
public override T Replace<T>(String key, T value) => Execute(key, rds => rds.Execute<T>("GETSET", key, value), true);
/// <summary>累加，原子操作</summary>
/// <param name="key">键</param>
/// <param name="value">变化量</param>
/// <returns></returns>
public override Int64 Increment(String key, Int64 value)
{
if (value == 1)
return Execute(key, rds => rds.Execute<Int64>("INCR", key), true);
else
return Execute(key, rds => rds.Execute<Int64>("INCRBY", key, value), true);
}
/// <summary>累加，原子操作，乘以100后按整数操作</summary>
/// <param name="key">键</param>
/// <param name="value">变化量</param>
/// <returns></returns>
public override Double Increment(String key, Double value) => Execute(key, rds => rds.Execute<Double>("INCRBYFLOAT", key, value), true);
/// <summary>递减，原子操作</summary>
/// <param name="key">键</param>
/// <param name="value">变化量</param>
/// <returns></returns>
public override Int64 Decrement(String key, Int64 value)
{
if (value == 1)
return Execute(key, rds => rds.Execute<Int64>("DECR", key), true);
else
return Execute(key, rds => rds.Execute<Int64>("DECRBY", key, value.ToString()), true);
}
/// <summary>递减，原子操作，乘以100后按整数操作</summary>
/// <param name="key">键</param>
/// <param name="value">变化量</param>
/// <returns></returns>
public override Double Decrement(String key, Double value)
{
//return (Double)Decrement(key, (Int64)(value * 100)) / 100;
return Increment(key, -value);
}
#endregion
#region 性能测试
/// <summary>性能测试</summary>
/// <remarks>
/// Redis性能测试[随机]，批大小[100]，逻辑处理器 40 个 2,400MHz Intel(R) Xeon(R) CPU E5-2640 v4 @ 2.40GHz
/// 测试 100,000 项， 1 线程
/// 赋值 100,000 项， 1 线程，耗时 418ms 速度 239,234 ops
/// 读取 100,000 项， 1 线程，耗时 520ms 速度 192,307 ops
/// 删除 100,000 项， 1 线程，耗时 125ms 速度 800,000 ops
/// 测试 200,000 项， 2 线程
/// 赋值 200,000 项， 2 线程，耗时 548ms 速度 364,963 ops
/// 读取 200,000 项， 2 线程，耗时 549ms 速度 364,298 ops
/// 删除 200,000 项， 2 线程，耗时 315ms 速度 634,920 ops
/// 测试 400,000 项， 4 线程
/// 赋值 400,000 项， 4 线程，耗时 694ms 速度 576,368 ops
/// 读取 400,000 项， 4 线程，耗时 697ms 速度 573,888 ops
/// 删除 400,000 项， 4 线程，耗时 438ms 速度 913,242 ops
/// 测试 800,000 项， 8 线程
/// 赋值 800,000 项， 8 线程，耗时 1,206ms 速度 663,349 ops
/// 读取 800,000 项， 8 线程，耗时 1,236ms 速度 647,249 ops
/// 删除 800,000 项， 8 线程，耗时 791ms 速度 1,011,378 ops
/// 测试 4,000,000 项， 40 线程
/// 赋值 4,000,000 项， 40 线程，耗时 4,848ms 速度 825,082 ops
/// 读取 4,000,000 项， 40 线程，耗时 5,399ms 速度 740,877 ops
/// 删除 4,000,000 项， 40 线程，耗时 6,281ms 速度 636,841 ops
/// 测试 4,000,000 项， 64 线程
/// 赋值 4,000,000 项， 64 线程，耗时 6,806ms 速度 587,716 ops
/// 读取 4,000,000 项， 64 线程，耗时 5,365ms 速度 745,573 ops
/// 删除 4,000,000 项， 64 线程，耗时 6,716ms 速度 595,592 ops
/// </remarks>
/// <param name="rand">随机读写</param>
/// <param name="batch">批量操作</param>
public override Int64 Bench(Boolean rand = true, Int32 batch = 1000)
{
XTrace.WriteLine($"目标服务器：{Server}/{Db}");
//if (AutoPipeline == 0) AutoPipeline = 1000;
// 顺序操作时，打开自动管道
if (!rand && batch > 0)
{
AutoPipeline = batch;
FullPipeline = true;
}
return base.Bench(rand, batch);
}
/// <summary>使用指定线程测试指定次数</summary>
/// <param name="times">次数</param>
/// <param name="threads">线程</param>
/// <param name="rand">随机读写</param>
/// <param name="batch">批量操作</param>
public override Int64 BenchOne(Int64 times, Int32 threads, Boolean rand, Int32 batch)
{
if (!rand)
{
if (batch > 10) times *= 10;
}
else
{
if (batch > 10) times *= 10;
}
return base.BenchOne(times, threads, rand, batch);
}
/// <summary>累加测试</summary>
/// <param name="key">键</param>
/// <param name="times">次数</param>
/// <param name="threads">线程</param>
/// <param name="rand">随机读写</param>
/// <param name="batch">批量操作</param>
protected override Int64 BenchInc(String key, Int64 times, Int32 threads, Boolean rand, Int32 batch)
{
if (rand && batch > 10) times /= 10;
return base.BenchInc(key, times, threads, rand, batch);
}
#endregion
#region 日志
/// <summary>日志</summary>
public ILog Log { get; set; } = Logger.Null;
/// <summary>写日志</summary>
/// <param name="format"></param>
/// <param name="args"></param>
public void WriteLog(String format, params Object[] args) => Log?.Info(format, args);
#endregion
}
}
|