ConnectionMultiplexer 是StackExchange.Redis的核心对象,用这个类的实例来进行Redis的一系列操作,对于一个整个应用程序应该只有一个ConnectionMultiplexer 类的实例。上一章中StackExchangeRedisHelper 的相关代码如下
private static ConnectionMultiplexer _instance = null;
/// <summary>
/// 使用一个静态属性来返回已连接的实例,如下列中所示。这样,一旦 ConnectionMultiplexer 断开连接,便可以初始化新的连接实例。
/// </summary>
public static ConnectionMultiplexer Instance
{
get
{
if (_instance == null)
{
lock (_locker)
{
if (_instance == null || !_instance.IsConnected)
{
_instance = ConnectionMultiplexer.Connect(Coonstr);
}
}
}
//注册如下事件
_instance.ConnectionFailed += MuxerConnectionFailed;
_instance.ConnectionRestored += MuxerConnectionRestored;
_instance.ErrorMessage += MuxerErrorMessage;
_instance.ConfigurationChanged += MuxerConfigurationChanged;
_instance.HashSlotMoved += MuxerHashSlotMoved;
_instance.InternalError += MuxerInternalError;
return _instance;
}
}
string类型应该是最长用到的了,用法也很简单,下面展示了用Redis来进行基本的字符串数字存储
public static IDatabase GetDatabase()
{
return Instance.GetDatabase();
}
/// <summary>
/// 设置缓存
/// </summary>
/// <param name="key"></param>
/// <param name="value"></param>
public static void Set(string key, object value, TimeSpan? expiry = default(TimeSpan?), When when = When.Always, CommandFlags flags = CommandFlags.None)
{
key = MergeKey(key);
GetDatabase().StringSet(key, Serialize(value), expiry, when, flags);
}
/// <summary>
/// 根据key获取缓存对象
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="key"></param>
/// <returns></returns>
public static T Get<T>(string key)
{
key = MergeKey(key);
return Deserialize<T>(GetDatabase().StringGet(key));
}
/// <summary>
/// 移除指定key的缓存
/// </summary>
/// <param name="key"></param>
/// <returns></returns>
public static bool Remove(string key)
{
key = MergeKey(key);
return GetDatabase().KeyDelete(key);
}
除了基本的string类型操作,Redis同时支持以下几种类型的操作
下面我依次来介绍下这四种类型在StackExchange.Redis中的基本用法
关于代码中的KeyDelete为删除对应的键,我这里是因为测试防止重复才加上的。大家不要误会
public static void LatestUserTop10()
{
IDatabase db = StackExchangeRedisHelper.GetDatabase();
//模拟有一百名用户
for (int i = 1; i <= 100; i++)
{
db.ListLeftPush("user", "用户"+i);
//每一名用户插入后都只保留最后的十个用户到redis数据库中
db.ListTrim("user", 0, 9);
}
RedisValue[] userStores = db.ListRange("user");
foreach (var item in userStores)
{
Console.Write((string)item + ",");
}
db.KeyDelete("user");
Console.ReadLine();
}
public void RedisSetTest()
{
IDatabase db = StackExchangeRedisHelper.GetDatabase();
for (int i = 1; i <= 20; i++)
{
db.SetAdd("文章1", i);
}
for (int i = 15; i <= 35; i++)
{
db.SetAdd("文章2", i);
}
RedisValue[] inter = db.SetCombine(SetOperation.Intersect, "文章1", "文章2");
RedisValue[] union = db.SetCombine(SetOperation.Union, "文章1", "文章2");
RedisValue[] dif1 = db.SetCombine(SetOperation.Difference, "文章1", "文章2");
RedisValue[] dif2 = db.SetCombine(SetOperation.Difference, "文章2", "文章1");
int x = 0;
Console.WriteLine("两篇文章都评论过的用户");
foreach (var item in inter.OrderBy(m => m).ToList())
{
Console.Write((string)item + " ");
}
Console.WriteLine("\n评论过两篇文章中任意一篇文章的用户");
foreach (var item in union.OrderBy(m => m).ToList())
{
Console.Write((string)item + " ");
}
Console.WriteLine("\n只评论过其第一篇文章的用户");
foreach (var item in dif1.OrderBy(m => m).ToList())
{
Console.Write((string)item + " ");
}
Console.WriteLine("\n只评论过其第二篇文章的用户");
foreach (var item in dif2.OrderBy(m => m).ToList())
{
Console.Write((string)item + " ");
}
db.KeyDelete("文章1");
db.KeyDelete("文章2");
Console.ReadLine();
}
public void HotestUserTop10()
{
IDatabase db = StackExchangeRedisHelper.GetDatabase();
//模拟有一百名评论者,开始每个用户被“赞”的次数为1
List<SortedSetEntry> entrys = new List<SortedSetEntry>();
for (int i = 1; i <= 100; i++)
{
db.SortedSetAdd("文章1", "评论者" + i, 1);
}
//评论者2又被赞了两次
db.SortedSetIncrement("文章1", "评论者2", 2); //对应的值的score+2
//评论者101被赞了4次
db.SortedSetIncrement("文章1", "评论者101", 4); //若不存在该值,则插入一个新的
RedisValue[] userStores = db.SortedSetRangeByRank("文章1", 0, 10, Order.Descending);
for (int i = 0; i < userStores.Length; i++)
{
Console.WriteLine(userStores[i]+":"+ db.SortedSetScore("文章1", userStores[i]));
}
db.KeyDelete("文章1");
Console.ReadLine();
}
public void RedisHashTest()
{
IDatabase db = StackExchangeRedisHelper.GetDatabase();
db.HashSet("student1", "name", "张三");
db.HashSet("student1", "age", 12);
db.HashSet("student1", "class", "五年级");
Console.WriteLine(db.HashGet("student1", "name"));
RedisValue[] result = db.HashGet("student1", new RedisValue[] { "name", "age","class" });
Console.WriteLine(string.Join(",",result));
db.KeyDelete("student1");
Console.ReadLine();
}
以下代码是我分别用stringset和hash来存储对象进行的时间及内存比较,内存可通过redis的info命令来查看。
最终显示耗时方面stringset稍微快一点点,内存占用stringset却是hash的二倍
public void RedisHashVsStringSet()
{
IDatabase db = StackExchangeRedisHelper.GetDatabase();
Stopwatch sw = new Stopwatch();
sw.Start();
//for (int i = 0; i < 100000; i++)
//{
// db.HashSet("studenths" + i, "name", "张三" + i);
// db.HashSet("studenths" + i, "age", 12 + i);
// db.HashSet("studenths" + i, "class", "五年级" + i);
//}
//Console.WriteLine(sw.Elapsed.TotalMilliseconds);
//sw.Restart();
for (int i = 0; i < 100000; i++)
{
db.StringSet("studentstr_name" + i, "张三" + i);
db.StringSet("studentstr_age" + i, 12 + i);
db.StringSet("studentstr_class" + i, "五年级" + i);
}
Console.WriteLine(sw.Elapsed.TotalMilliseconds);
//for (int i = 0; i < 100000; i++)
//{
// db.KeyDelete("studenths" + i);
// db.KeyDelete("studentstr_name" + i);
// db.KeyDelete("studentstr_age" + i);
// db.KeyDelete("studentstr_class" + i);
//}
Console.ReadLine();
}