Redis学习笔记~Redis事务机制与Lind.DDD.Repositories.Redis事务机制的实现

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Redis本身支持事务,这就是SQL数据库有Transaction一样,而Redis的驱动也支持事务,这在ServiceStack.Redis就有所体现,它也是目前最受业界认可的Redis驱动,而它将Redis的事务机制(MULTI,Exec,Watch等)封装成了比较友好的实现方式,如下面的代码

    using (IRedisClient RClient = prcm.GetClient())
    {
      using (IRedisTransaction IRT = RClient.CreateTransaction())
        {
            IRT.QueueCommand(r => r.AddItemToList("zzl", "2"));
            IRT.QueueCommand(r => r.AddItemToList("lr", "2"));

            IRT.Commit(); // 提交事务
        }

    }

当然上面漂亮的代码有一些功劳要归于C#漂亮的语法,你在JAVA里可以很难写出如此漂亮的东西,当然上面的代码是ServiceStack.Redis为我们封装的,平时我们可以直接使用,现在再说一下大叔Lind.DDD框架里的RedisRepository对它的支持!

如果大叔RedisRepository想支持redis事务,前提:仓储的IRedisClient必须与产生事务的IRedisClient是同一个对象,否则redis事务在大叔框架里不会起作用

实现方法:

一  RedisRepository<T>实现SetDataContext方法,将IRedisClient从外面传入,这样可以保存事务的和仓储的用的是一个对象

      public void SetDataContext(object db)
        {
            try
            {
                //手动Redis数据库对象,在redis事务时启用
                redisDB = (IRedisClient)db;
                redisTypedClient = redisDB.GetTypedClient<TEntity>();
                table = redisTypedClient.Lists[typeof(TEntity).Name];
            }
            catch (Exception)
            {

                throw new ArgumentException("redis.SetDataContext要求db为IRedisClient类型");
            }

        }

二 添加基于Redis的事务管理者,让大叔仓储与事务更好的结合,方便开发人员的使用

    /// <summary>
    /// Redis事务管理机制
    /// </summary>
    public class RedisTransactionManager
    {
        /// <summary>
        /// 事务块处理
        /// </summary>
        /// <param name="redisClient">当前redis库</param>
        /// <param name="action">事务中的动作</param>
        public static void Transaction(IRedisClient redisClient, Action action)
        {
            using (IRedisTransaction IRT = redisClient.CreateTransaction())
            {
                try
                {
                    action();
                    IRT.Commit();
                }
                catch (Exception)
                {
                    IRT.Rollback();
                }
            }
        }

    }

三 在领域代码中,我们通常可以这样使用大叔redis的事务块,看代码

            var redis = new Lind.DDD.Repositories.Redis.RedisRepository<User>();
            IRedisClient redisClient = Lind.DDD.RedisClient.RedisManager.GetClient();
            redis.SetDataContext(redisClient);
            Lind.DDD.RedisClient.RedisTransactionManager.Transaction(redisClient, () =>
            {
                redis.Insert(new User { UserName = "gogod111" });
                redis.Insert(new User { UserName = "gogod211" });
            });

这样,大叔框架就支持了Redis的事务,希望MongoDB早日也能对事务进行支持,到那时,大叔将会为它提供一种实现机制,呵呵!

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anwu7hq3I1dra6Oe4yACBDSIVHBICVhAA8YolYKuvSKTSYssei63ebHAF34KrZdalnAFdhToXe3qS2nxKruC4TAHhNKjxiGsuPk6WvDC7PL08FAcuCU71fPCkjPQjAI54T18tVPZ06kwazGSwes2vY6Ru3eEYx25DaPNxT+66raOPguacGyzeP9RyLuxgAWPGkziPydhxEyOHyV+yj5uPuKInZKAtOpBnlhpRFRi1PpIyoXzaItUJOEECVdS2KvKLyioa2VqUBs3ktgyPuQNDmHcOcY3rxO76qzYu27cTg7tvOnSNNryBEUVhvDAAkl9R5RD7/W6FH9iiBTLyvqO4SzMYmT4LOjPEFSbwM3h4blHDvEemmy8jalRMzN3vMTmmrSiLrbGjTNnfoGy/qJAqj4UjOomMvgb8ne//brR88R3j/4Ch9jrKv5B76ACBEMtkjMq7lmyKmB0SdydoFsi9Hz3MLL4pAU1ItlasN+Mj41Zkb1xeImfnFazcXZ+aJGYLQHM4h/AeJQG7jvseb9j9BjB62FD+LSAU2EchYUnodkbf/U3EoIuWJPvK5xGVXRGlDydnIyRH5EQWzbMO+3/h6YU9mKWIariPeubOmT2Ww6M1uk2PIPTRh9gT1rusdh1bNGXcsDOxctO257di7YN3dX/QMXZ4soX18A4DkkmkekY14RM3TaSTlwqj8ZEVEZGNsRlcw+51i3Bd0d8l6T/l5bNAhgFrPietlSn2nzqTF7AaLx+wecQamBwLz2LE1E8rXFh27ZpSvzum2hjU/s5U+j9Xuo0zC/pgDgBUJeET0WrTUUbouymyUIkfeMGpKaeASgc78sWnGuCrxSniLADxig7y9TNLU2KFVGaxGZ8Dmm3BfIfry1oZUbxL+3JB6W+eH69Ufbew+/oRBvCcQCNDlScVhBwACItM8IpHAdUQ2pxbpllAKJ0uPmCxAEeNDALX6/X61tlvcJC+ploqqpWeqWy2F68caX7w9sH1Sta3/5NdUuj4MwzAMQ8ghAGQ44BHRa+M4a0qXbVkROTlrGlPlsX4OiKkMxjw8RAAekSCI2dlZl8uF3aGn9A3tsU26/CexircwDAuHw3HXAACZQ4o8Ip/PuzBWRT6lSbk7jM3If5JbRrZZnkbOsKyW5R7RFRzVY1RONpWwfLvpuuAzwqgyChzHl6QRx3GuawEAYQC/WQMkkZX6qgrDIwIAkDjwu6ZA4qzsDxkrdscAAIgkMz0iAMSEMDxicDLU0qUVVUlElXdHlaSlSxucDMVdAwBkDuARAQCNADyitq//vFSmMdlt3lH8csgzOrkU+OWQzTuqMdnPS2Xavn6uywQAXgMeEQAYEYBHLK6qMzoDRkcAs/t6bXcFZvcZHQGjM1BcBU8MBgAGku4RwwCwshCARxRVSkKzC97Lk0anH7PhvdbPArPhRoffOzoRCi+IKkERAQBFKjwi18MXM0u3gSzPL08FAcuCBbdffEYIHrG6rkWpHxy+cmVq9trc4vTcrakbC9M3bk3P3RqfCruHr8rV2NnqZkSGlX1zFACwJEUecfkLZ9yOZZQg5DCy7MR3IbnZKAtOpFnikPeI3CllGfw8MOgQgE7c+aVvTNlj0fW7TY6AO3DV7LrUM4CrMKdCb29S20+JVegkoIhAhpMijxilMdwNZdSgDWJyiyf70QSzscmTToNI/jwRtZZSI3l4VCAQgEc8J66Xq3o6dSYNZjNYPGbXsNM3bvGMYrYhtXm4p/ZdV9HGwXNPDZZvRj8uOO46AWBlkAqPKBRFZFzLN0XkIYl7xKiXiHKeWwSgE3Utiryi8oqGtlalAbN5LYMj7kDQ5h3DnGN68Tu+qs2Ltu3E4O7bzp0jTa/QiWJWBGmuHwD4QBquI/JkUIskDkWMHCsi11KO4GQVjDJtlBsy5kcUzOZFZtlFIs3CoIiUJO4R6abLyNqVEzM3e8xOaatKIutsaNM2d+gbL+okCqPhSM6iYy+Bvyd7/9utHzxHeP/gKH2Osq8sdr9gCwArmJTea8qTES0SNgITNU+nkZQLKRWCUhfJ2Rib0RXMfqfo0pI1m00zcm1xKCL/EYA2lFRL5WoDPjJ+debG9QViZn7x2s3FmXlihiA0h3MI/0EikNu47/Gm/U8Qo4ctxc9SJgFFBDKclHpE3o56jAJDnqeUOrJPotMDSiEhbxg1pfNhcQCKmAjce0RG7txZ06cyWPRmt8kx5B6aMHuCetf1jkOr5ow7FgZ2Ltr23HbsXbDu7i96hjIJKCIApO5eU25HMQRxKCLjKrqFdOcDKWfo5DMp0PlXRJ10zUARecc5cb1Mqe/UmbSY3WDxmN0jzsD0QGAeO7ZmQvnaomPXjPLVOd3WsOZnttLnsdp9lElAEYEMJw33mvKQWBWRTjnQC8mrGLMhDCW6YMYXnFGWEDIMiigAj9ggby+TNDV2aFUGq9EZsPkm3FeIvry1IdWbhD83pN7W+eF69Ucbu48/YRDvoXtocORJibgLBgBBk6J7TZN4xi/psNGPKEtHuS+Mzch/kltGtlmeRs6wrJblHsW6C5TNyLvA2AydjecIQB78fr9a2y1ukpdUS0XV0jPVrZbC9WONL94e2D6p2tZ/8msqXd/S4xLp5BAAAPjNmgwhi97VxdEs0xCARyQIYnZ21uVyYXfoKX1De2yTLv9JrOItDMPC4XDcNQBA5gC/a5ohxOQ4QQ4jEYBHJIPj+JI04jjOdS0AIAwy0yMCQEwIwyMCAJA44BEBAI0gPSIAALECHhEAGBGGRwxOhlq6tKIqiajy7qiStHRpg5OhuGsAgMwh6R4xncUDQBoQgEfU9vWfl8o0JrvNO4pfDnlGJ5cCvxyyeUc1Jvt5qUzb1891mQDAa1LhEdNYfpws3TmyPE8I6uvILAsW3H7xGQF4xOKqOqMzYHQEMLuv13ZXYHaf0REwOgPFVfDEYABgIEUecfmWxXTtRwwg5DCy7MR3IbnZKAtOpFniRO0R5T5SlsHPA4MOAdQqqpSEZhe8lyeNTj9mw3utnwVmw40Ov3d0IhReEFWCIgIAihR5xCx+/xoU2iAmt3iyH00wG5s86TSIlHsXuZBcBm8/KtEhBI9YXdei1A8OX7kyNXttbnF67tbUjYXpG7em526NT4Xdw1flauxsdTM6CZ8/xgJAekj1dUQe/n+hS+KzIvIQtCISLDxi1EuEVlNO4EURaO780jem7LHo+t0mR8AduGp2XeoZwFWYU6G3N6ntp8QqNql48qIDQPpJ6XVE/oxoUcShiFkRRK6lHMHJKhhl2ig3ZMyPKJjN68yyi0SaRa6lnKdrsMIVMQ0e8Zy4Xq7q6dSZNJjNYPGYXcNO37jFM4rZhtTm4Z7ad11FGwfPPTVYvpnuccHL8ORFBwBOyDSPyEZgoubpNJJyYVR+siIisjE2oyuY/U7RpSVrNptmlLVRvgLoNjxHALXWtSjyisorGtpalQbM5rUMjrgDQZt3DHOO6cXv+Ko2L9q2E4O7bzt3jjS9ghZF8vu3/K4L620DgFhJw72mPPwnYhQY8jyl1JF9Ep08UAoJecOoKdqHxUTaFJFRIBELeQv3HpFuuoysXTkxc7PH7JS2qiSyzoY2bXOHvvGiTqIwGo7kLDr2Evh7sve/3frBc4T3D47S5xA9Ur6FwnrDACBuMs0jEglcR2T0bQg9oBROlh4xKdD5V0SddM3Qeknul+VC3iKAWkuqpXK1AR8Zvzpz4/oCMTO/eO3m4sw8MUMQmsM5hP8gEcht3Pd40/4niNHDluJnEalYfqgBgJVHht9ryrgWIQCMC8mrGLMhDCW6YMYXmVGWEDIcxwsSU9f8h3uPyMidO2v6VAaL3uw2OYbcQxNmT1Dvut5xaNWcccfCwM5F257bjr0L1t39Rc8gUoEiAplMJn8fEdEgytJR7g5jM/Kf5JaRbZankTMsq2W5R7HuAmUz8i5QLqHbBZb7xR8EUOg5cb1Mqe/UmbSY3WDxmN0jzsD0QGAeO7ZmQvnaomPXjPLVOd3WsOZnttLnsdp9iFTkN0ZAbxUAJAL8Zk2GkEXl6uJulmkIwCM2yNvLJE2NHVqVwWp0Bmy+CfcVoi9vbUj1JuHPDam3dX64Xv3Rxu7jTxjEe+geGoz+UAMHBJAJwO+aZggxOU4Y/SIRwGvh9/vV2m5xk7ykWiqqlp6pbrUUrh9rfPH2wPZJ1bb+k19T6fqWHpdIJ4cAAGSmRwSAmBCARyQIYnZ21uVyYXfoKX1De2yTLv9JrOItDMPC4XDcNQBA5gAeEQDQCMAjksFxfEkacRznuhYAEAbgEQGAEWF4RAAAEifpHpHrx7sCQJIRpEcEACBWUuERuR6+ACDJCMMjBidDLV1aUZVEVHl3VElaurTByVDcNQBA5gAeEQDQCMAjavv6z0tlGpPd5h3FL4c8o5NLgV8O2byjGpP9vFSm7evnukwA4DXgEQGAEQF4xOKqOqMzYHQEMLuv13ZXYHaf0REwOgPFVfDEYABgADwiAKARgEcUVUpCswvey5NGpx+z4b3WzwKz4UaH3zs6EQoviCpBEQEABXhEAGBECB6xuq5FqR8cvnJlavba3OL03K2pGwvTN25Nz90anwq7h6/K1djZ6ua4y4gCfscBWKmARwQANAIY9+/80jem7LHo+t0mR8AduGp2XeoZwFWYU6G3N6ntp8Sq5HYKigisMMAjAgAjAvCI58T1clVPp86kwWwGi8fsGnb6xi2eUcw2pDYP99S+6yraOHjuqcHyzejHBccEKCKw8gCPCABoBDDu17Uo8orKKxraWpUGzOa1DI64A0GbdwxzjunF7/iqNi/athODu287d440vUInioy/9E1+iEnKdwwA0gh4RABghHuPSDddRtaunJi52WN2SltVEllnQ5u2uUPfeFEnURgNR3IWHXsJ/D3Z+99u/eA5wvsHR+lzlH1lkZ5bRreQbgkACB3wiACARgDjfkm1VK424CPjV2duXF8gZuYXr91cnJknZghCcziH8B8kArmN+x5v2v8EMXrYUvwsIhWlzrFfCADCBTwiADDCpUdkyZ07a/pUBove7DY5htxDE2ZPUO+63nFo1Zxxx8LAzkXbntuOvQvW3f1FzyBSgSICmQx4RABAI4Bx/5y4XqbUd+pMWsxusHjM7hFnYHogMI8dWzOhfG3RsWtG+eqcbmtY8zNb6fNY7T66PDGdOAVFBFYY4BEBgBEBeMQGeXuZpKmxQ6syWI3OgM034b5C9OWtDaneJPy5IfW2zg/Xqz/a2H38CYN4D91Dg9nfWYO43QYABA14RABAI4AR3+/3q7Xd4iZ5SbVUVC09U91qKVw/1vji7YHtk6pt/Se/ptL1LT0ukU4OAQAAjwgAjAjAIxIEMTs763K5sDv0lL6hPbZJl/8kVvEWhmHhcDgNNQCA0Em6R0xn8QCQBgTgEcngOL4kjTiOc10LAAiDVHjENJYPAOlAGB4RAIDEAY8IAGgE6REBAIgV8IgAwAh4RADIFMAjAgCa/wOOOIR4HV+cWAAAAABJRU5ErkJggg==" alt="" />

下面是大叔对分布式多数据源事务的测试,可以实现SQLSERVER与Redis的事务共存机制,下面是代码

           Lind.DDD.RedisClient.RedisTransactionManager.Transaction(redisClient, () =>
            {
                redis.Insert(new User { UserName = "gogod111" });
                redis.Insert(new User { UserName = "gogod211" });

                using (var trans = new TransactionScope())
                {
                    userRepository.Insert(new UserInfo { UserName = "zzl3" });
                    trans.Complete();
                }
            });

上面代码我们还能进行一些封装,一些修改,让它支持redis和sql两种事务,使用.net4.5的默认参数,可以省去一个方法的重载,代码又便得越来越简洁了!

        /// <summary>
        /// 事务块处理
        /// </summary>
        /// <param name="redisClient">当前redis库</param>
        /// <param name="redisAction">Redis事务中的动作</param>
        /// <param name="sqlAction">Sql事务中的动作</param>
        public static void Transaction(IRedisClient redisClient, Action redisAction, Action sqlAction = null)
        {
            using (IRedisTransaction IRT = redisClient.CreateTransaction())
            {
                try
                {
                    redisAction();
                    if (sqlAction != null)
                    {
                        using (var trans = new TransactionScope())
                        {
                            sqlAction();
                            trans.Complete();
                        }
                    }
                    IRT.Commit();
                }
                catch (Exception)
                {
                    IRT.Rollback();
                }
            }
        }

代码在调用时,我们很方便,简单!

           Lind.DDD.RedisClient.RedisTransactionManager.Transaction(redisClient, () =>
            {
                redis.Insert(new User { UserName = "gogod111" });
                redis.Insert(new User { UserName = "gogod211" });
            }, () =>
            {
                userRepository.Insert(new UserInfo { UserName = "zzl3" });
            });

对于C#代码团队的不段进步,也是我们这些程序员喜爱它的原因之一,毕竟人都有个腻的时候,多多改善,对自己,对他人都是件不错好事!

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