.Net下的分布式缓存 - 分布式缓存同步的实现

作者佚名技术来源 NET编程浏览发布时间 2012-04-11

;

   // initialize the pool for memcache servers
   SockIOPool pool = SockIOPool.GetInstance();
   pool.SetServers(serverlist);

   pool.InitConnections = 3;
   pool.MinConnections = 3;
   pool.MaxConnections = 5;

   pool.SocketConnectTimeout = 1000;
   pool.SocketTimeout = 3000;

   pool.MaintenanceSleep = 30;
   pool.Failover = true;

   pool.Nagle = false;
   pool.Initialize();

   MemcachedClient mc = new MemcachedClient();
   mc.EnableCompression = false;

   string keyBase = "testKey";
   string obj = "This is a test of an object blah blah es, serialization does not seem to slow things down so much. The gzip compression is horrible horrible performance, so we only use it for very large objects. I have not done any heavy benchma***ng recently";

   long begin = DateTime.Now.Ticks;
   for(int i = start; i < start+runs; i++)
   {
   mc.Set(keyBase + i, obj);
   }
   long end = DateTime.Now.Ticks;
   long time = end - begin;

   Console.WriteLine(runs + " sets: " + new TimeSpan(time).ToString() + "ms");

   begin = DateTime.Now.Ticks;
   int hits = 0;
   int misses = 0;
   for(int i = start; i < start+runs; i++)
   {
   string str = (string) mc.Get(keyBase + i);
   if(str != null)
   ++hits;
   else
   ++misses;
   }
   end = DateTime.Now.Ticks;
   time = end - begin;

   Console.WriteLine(runs + " gets: " + new TimeSpan(time).ToString() + "ms");
   Console.WriteLine("Cache hits: " + hits.ToString());
   Console.WriteLine("Cache misses: " + misses.ToString());

   IDictionary stats = mc.Stats();
   foreach(string key1 in stats.Keys)
   {
   Console.WriteLine(key1);
   Hashtable values = (Hashtable)stats[key1];
   foreach(string key2 in values.Keys)
   {
   Console.WriteLine(key2 + ":" + values[key2]);
   }
   Console.WriteLine();
   }

   SockIOPool.GetInstance().Shutdown();
   }
   }
   }结论通过这个对比测试我们可以看出内建的Cache比使用Memcached要快出约130倍,但是从总体速度上来看并不慢，这两种方式可以在项目中有选择性地结合使用可以产生很棒的效果.并且Memcached可使用的内存数量要多得多，同时也可以做集群避免单点问题.

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