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<!DOCTYPE HTML>
<html lang="zh-CN">
<head><meta name="generator" content="Hexo 3.9.0">
<meta charset="utf-8">
<meta name="keywords" content="redisTemplate, 记录">
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<meta name="description" content="一、SpringDataRedis简介1、Redisredis是一款开源的Key-Value数据库，运行在内存中，由C语言编写。企业开发通常采用Redis来实现缓存。同类的产品还有memcache 、memcached 等。
2、Jedis">
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<title>redisTemplate | Ji`s Blog</title>
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<script>
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</script></head>
<div id="loading-container">
<p class="loading-text"></p>
<div class="loading-image">
<div></div>
<div></div>
<div></div>
<div></div>
<div></div>
</div>
</div><body>
<header class="navbar-fixed">
<nav id="headNav" class="bg-color nav-transparent">
<div id="navContainer" class="nav-wrapper container">
<div class="brand-logo">
<a href="/" class="waves-effect waves-light">
<img src="/medias/logo.png" class="logo-img" alt="LOGO">
<span class="logo-span">Ji`s Blog</span>
</a>
</div>
<a href="#" data-target="mobile-nav" class="sidenav-trigger button-collapse"><i class="fa fa-navicon"></i></a>
<ul class="right">
<li class="hide-on-med-and-down">
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</a>
</li>
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<a href="/tags" class="waves-effect waves-light">
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<span>关于</span>
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<span>友情链接</span>
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<span>留言板</span>
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<h2 id="一、SpringDataRedis简介"><a href="#一、SpringDataRedis简介" class="headerlink" title="一、SpringDataRedis简介"></a>一、SpringDataRedis简介</h2><h3 id="1、Redis"><a href="#1、Redis" class="headerlink" title="1、Redis"></a>1、Redis</h3><p>redis是一款开源的Key-Value数据库，运行在内存中，由C语言编写。企业开发通常采用Redis来实现缓存。同类的产品还有memcache 、memcached 等。</p>
<h3 id="2、Jedis"><a href="#2、Jedis" class="headerlink" title="2、Jedis"></a>2、Jedis</h3><p>Jedis是Redis官方推出的一款面向Java的客户端，提供了很多接口供Java语言调用。可以在Redis官网下载，当然还有一些开源爱好者提供的客户端，如Jredis、SRP等等，推荐使用Jedis。</p>
<h3 id="3、Spring-Data-Redis"><a href="#3、Spring-Data-Redis" class="headerlink" title="3、Spring Data Redis"></a>3、Spring Data Redis</h3><p>Spring-data-redis是spring大家族的一部分，提供了在srping应用中通过简单的配置访问redis服务，对reids底层开发包(Jedis, JRedis, and RJC)进行了高度封装，RedisTemplate提供了redis各种操作、异常处理及序列化，支持发布订阅，并对spring 3.1 cache进行了实现。 <strong>spring-data-redis针对jedis提供了如下功能：</strong></p>
<ol>
<li>连接池自动管理，提供了一个高度封装的“RedisTemplate”类</li>
<li>针对jedis客户端中大量api进行了归类封装,将同一类型操作封装为operation接口</li>
</ol>
<ul>
<li>ValueOperations：简单K-V操作</li>
<li>SetOperations：set类型数据操作</li>
<li>ZSetOperations：zset类型数据操作</li>
<li>HashOperations：针对map类型的数据操作</li>
<li>ListOperations：针对list类型的数据操作</li>
</ul>
<ol>
<li>提供了对key的“bound”(绑定)便捷化操作API，可以通过bound封装指定的key，然后进行一系列的操作而无须“显式”的再次指定Key，即BoundKeyOperations：</li>
</ol>
<ul>
<li>BoundValueOperations</li>
<li>BoundSetOperations</li>
<li>BoundListOperations</li>
<li>BoundSetOperations</li>
<li>BoundHashOperations</li>
</ul>
<ol>
<li>将事务操作封装，有容器控制。</li>
<li>针对数据的“序列化/反序列化”，提供了多种可选择策略(RedisSerializer)</li>
</ol>
<p>JdkSerializationRedisSerializer：POJO对象的存取场景，使用JDK本身序列化机制，将pojo类通过ObjectInputStream/ObjectOutputStream进行序列化操作，最终redis-server中将存储字节序列。是目前最常用的序列化策略。</p>
<p>StringRedisSerializer：Key或者value为字符串的场景，根据指定的charset对数据的字节序列编码成string，是“new String(bytes, charset)”和“string.getBytes(charset)”的直接封装。是最轻量级和高效的策略。</p>
<p>JacksonJsonRedisSerializer：jackson-json工具提供了javabean与json之间的转换能力，可以将pojo实例序列化成json格式存储在redis中，也可以将json格式的数据转换成pojo实例。因为jackson工具在序列化和反序列化时，需要明确指定Class类型，因此此策略封装起来稍微复杂。【需要jackson-mapper-asl工具支持】</p>
<h2 id="二、RedisTemplate中API使用"><a href="#二、RedisTemplate中API使用" class="headerlink" title="二、RedisTemplate中API使用"></a>二、RedisTemplate中API使用</h2><h3 id="1、pom-xml依赖"><a href="#1、pom-xml依赖" class="headerlink" title="1、pom.xml依赖"></a>1、pom.xml依赖</h3><pre class="line-numbers language-java"><code class="language-java">java复制代码<span class="token operator"><</span><span class="token operator">!</span><span class="token operator">--</span>Redis<span class="token operator">--</span><span class="token operator">></span>
<span class="token operator"><</span>dependency<span class="token operator">></span>
<span class="token operator"><</span>groupId<span class="token operator">></span>org<span class="token punctuation">.</span>springframework<span class="token punctuation">.</span>boot<span class="token operator"><</span><span class="token operator">/</span>groupId<span class="token operator">></span>
<span class="token operator"><</span>artifactId<span class="token operator">></span>spring<span class="token operator">-</span>boot<span class="token operator">-</span>starter<span class="token operator">-</span>data<span class="token operator">-</span>redis<span class="token operator"><</span><span class="token operator">/</span>artifactId<span class="token operator">></span>
<span class="token operator"><</span><span class="token operator">/</span>dependency<span class="token operator">></span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span></span></code></pre>
<h3 id="2、配置文件"><a href="#2、配置文件" class="headerlink" title="2、配置文件"></a>2、配置文件</h3><pre class="line-numbers language-perl"><code class="language-perl">perl复制代码<span class="token comment" spellcheck="true"># Redis服务器连接端口</span>
spring<span class="token operator">.</span>redis<span class="token operator">.</span>port<span class="token operator">=</span><span class="token number">6379</span>
<span class="token comment" spellcheck="true"># Redis服务器地址</span>
spring<span class="token operator">.</span>redis<span class="token operator">.</span>host<span class="token operator">=</span><span class="token vstring string">127.0.0.1</span>
<span class="token comment" spellcheck="true"># Redis数据库索引（默认为0）</span>
spring<span class="token operator">.</span>redis<span class="token operator">.</span>database<span class="token operator">=</span><span class="token number">0</span>
<span class="token comment" spellcheck="true"># Redis服务器连接密码（默认为空）</span>
spring<span class="token operator">.</span>redis<span class="token operator">.</span>password<span class="token operator">=</span>
<span class="token comment" spellcheck="true"># 连接池最大连接数（使用负值表示没有限制）</span>
spring<span class="token operator">.</span>redis<span class="token operator">.</span>jedis<span class="token operator">.</span>pool<span class="token operator">.</span>max<span class="token operator">-</span>active<span class="token operator">=</span><span class="token number">8</span>
<span class="token comment" spellcheck="true"># 连接池最大阻塞等待时间（使用负值表示没有限制）</span>
spring<span class="token operator">.</span>redis<span class="token operator">.</span>jedis<span class="token operator">.</span>pool<span class="token operator">.</span>max<span class="token operator">-</span>wait<span class="token operator">=</span><span class="token operator">-</span>1ms
<span class="token comment" spellcheck="true"># 连接池中的最大空闲连接</span>
spring<span class="token operator">.</span>redis<span class="token operator">.</span>jedis<span class="token operator">.</span>pool<span class="token operator">.</span>max<span class="token operator">-</span>idle<span class="token operator">=</span><span class="token number">8</span>
<span class="token comment" spellcheck="true"># 连接池中的最小空闲连接</span>
spring<span class="token operator">.</span>redis<span class="token operator">.</span>jedis<span class="token operator">.</span>pool<span class="token operator">.</span>min<span class="token operator">-</span>idle<span class="token operator">=</span><span class="token number">0</span>
<span class="token comment" spellcheck="true"># 连接超时时间（毫秒）</span>
spring<span class="token operator">.</span>redis<span class="token operator">.</span>timeout<span class="token operator">=</span>5000ms<span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span></span></code></pre>
<h3 id="3、RedisTemplate的直接方法"><a href="#3、RedisTemplate的直接方法" class="headerlink" title="3、RedisTemplate的直接方法"></a>3、RedisTemplate的直接方法</h3><p><strong>首先使用@Autowired注入RedisTemplate</strong></p>
<pre><code>@Autowired
private RedisTemplate redisTemplate;
</code></pre><h4 id="1、删除单个key"><a href="#1、删除单个key" class="headerlink" title="1、删除单个key"></a>1、删除单个key</h4><pre><code>@Override
public Boolean delete(K key) {
byte[] rawKey = rawKey(key);
Long result = execute(connection -> connection.del(rawKey), true);
return result != null && result.intValue() == 1;
}</code></pre><h4 id="2、删除多个key"><a href="#2、删除多个key" class="headerlink" title="2、删除多个key"></a>2、删除多个key</h4><pre><code>@Override
public Long delete(Collection<K> keys) {
if (CollectionUtils.isEmpty(keys)) {
return 0L;
}
byte[][] rawKeys = rawKeys(keys);
return execute(connection -> connection.del(rawKeys), true);
}</code></pre><h4 id="3、指定key的失效时间"><a href="#3、指定key的失效时间" class="headerlink" title="3、指定key的失效时间"></a>3、指定key的失效时间</h4><p>将key的过期时间设置为当前时间加上10秒</p>
<pre><code>@Override
public Boolean expire(K key, final long timeout, final TimeUnit unit) {
byte[] rawKey = rawKey(key);
long rawTimeout = TimeoutUtils.toMillis(timeout, unit);
return execute(connection -> {
try {
return connection.pExpire(rawKey, rawTimeout);
} catch (Exception e) {
// Driver may not support pExpire or we may be running on Redis 2.4
return connection.expire(rawKey, TimeoutUtils.toSeconds(timeout, unit));
}
}, true);
}</code></pre><p>根据一个指定的日期来设置过期时间，例如expireAt(key, new Date(2023, 10, 5))表示将key的过期时间设置为2023年10月5日</p>
<pre><code>@Override
public Boolean expireAt(K key, final Date date) {
byte[] rawKey = rawKey(key);
return execute(connection -> {
try {
return connection.pExpireAt(rawKey, date.getTime());
} catch (Exception e) {
return connection.expireAt(rawKey, date.getTime() / 1000);
}
}, true);
}</code></pre><p>4、根据key获取过期时间</p>
<ul>
<li>getExpire(K key)方法只能以秒为单位返回剩余过期时间，而getExpire(K key, final TimeUnit timeUnit)方法可以根据参数timeUnit以不同的单位返回剩余过期时间。</li>
<li>getExpire(K key)方法只能使用ttl命令，而getExpire(K key, final TimeUnit timeUnit)方法可以使用pTtl或ttl命令。pTtl命令比ttl命令更精确，但是需要Redis版本高于2.6并且驱动程序支持。</li>
</ul>
<pre><code>@Override
public Long getExpire(K key) {
byte[] rawKey = rawKey(key);
return execute(connection -> connection.ttl(rawKey), true);
}</code></pre><pre><code>@Override
public Long getExpire(K key, final TimeUnit timeUnit) {
byte[] rawKey = rawKey(key);
return execute(connection -> {
try {
return connection.pTtl(rawKey, timeUnit);
} catch (Exception e) {
// Driver may not support pTtl or we may be running on Redis 2.4
return connection.ttl(rawKey, timeUnit);
}
}, true);
}</code></pre><p>5、判断key是否存在</p>
<pre><code>@Override
public Boolean hasKey(K key) {
byte[] rawKey = rawKey(key);
return execute(connection -> connection.exists(rawKey), true);
}</code></pre>
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