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<span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a></nav> <ul class="sidebar-links"><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>数据库综合</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>数据库中间件</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>关系型数据库</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>文档数据库</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading open"><span>KV数据库</span> <span class="arrow down"></span></p> <ul class="sidebar-links sidebar-group-items"><li><section class="sidebar-group collapsable is-sub-group depth-1"><p class="sidebar-heading open"><span>Redis</span> <span class="arrow down"></span></p> <ul class="sidebar-links sidebar-group-items"><li><a href="/db-tutorial/pages/451b73/" class="sidebar-link">Redis 面试总结</a></li><li><a href="/db-tutorial/pages/94e9d6/" class="sidebar-link">Redis 应用指南</a></li><li><a href="/db-tutorial/pages/ed757c/" class="sidebar-link">Redis 数据类型和应用</a></li><li><a href="/db-tutorial/pages/4de901/" class="sidebar-link">Redis 持久化</a></li><li><a href="/db-tutorial/pages/379cd8/" class="sidebar-link">Redis 复制</a></li><li><a href="/db-tutorial/pages/615afe/" class="sidebar-link">Redis 哨兵</a></li><li><a href="/db-tutorial/pages/77dfbe/" aria-current="page" class="active sidebar-link">Redis 集群</a><ul class="sidebar-sub-headers"><li class="sidebar-sub-header level2"><a href="/db-tutorial/pages/77dfbe/#_1-redis-cluster-分区" class="sidebar-link">1. Redis Cluster 分区</a><ul class="sidebar-sub-headers"><li class="sidebar-sub-header level3"><a href="/db-tutorial/pages/77dfbe/#_1-1-集群节点" class="sidebar-link">1.1. 集群节点</a></li><li class="sidebar-sub-header level3"><a href="/db-tutorial/pages/77dfbe/#_1-2-分配-hash-槽" class="sidebar-link">1.2. 分配 Hash 槽</a></li><li class="sidebar-sub-header level3"><a href="/db-tutorial/pages/77dfbe/#_1-3-寻址" class="sidebar-link">1.3. 寻址</a></li><li class="sidebar-sub-header level4"><a href="/db-tutorial/pages/77dfbe/#_1-3-1-计算键属于哪个槽" class="sidebar-link">1.3.1. 计算键属于哪个槽</a></li><li class="sidebar-sub-header level4"><a href="/db-tutorial/pages/77dfbe/#_1-3-2-moved-错误" class="sidebar-link">1.3.2. MOVED 错误</a></li><li class="sidebar-sub-header level3"><a href="/db-tutorial/pages/77dfbe/#_1-4-重新分区" class="sidebar-link">1.4. 重新分区</a></li><li class="sidebar-sub-header level3"><a href="/db-tutorial/pages/77dfbe/#_1-5-ask-错误" class="sidebar-link">1.5. ASK 错误</a></li></ul></li><li class="sidebar-sub-header level2"><a href="/db-tutorial/pages/77dfbe/#_2-redis-cluster-故障转移" class="sidebar-link">2. Redis Cluster 故障转移</a><ul class="sidebar-sub-headers"><li class="sidebar-sub-header level3"><a href="/db-tutorial/pages/77dfbe/#_2-1-复制" class="sidebar-link">2.1. 复制</a></li><li class="sidebar-sub-header level3"><a href="/db-tutorial/pages/77dfbe/#_2-2-故障检测" class="sidebar-link">2.2. 故障检测</a></li><li class="sidebar-sub-header level3"><a href="/db-tutorial/pages/77dfbe/#_2-3-故障转移" class="sidebar-link">2.3. 故障转移</a></li><li class="sidebar-sub-header level3"><a href="/db-tutorial/pages/77dfbe/#_2-4-选举新的主节点" class="sidebar-link">2.4. 选举新的主节点</a></li></ul></li><li class="sidebar-sub-header level2"><a href="/db-tutorial/pages/77dfbe/#_3-redis-cluster-通信" class="sidebar-link">3. Redis Cluster 通信</a></li><li class="sidebar-sub-header level2"><a href="/db-tutorial/pages/77dfbe/#_4-redis-cluster-应用" class="sidebar-link">4. Redis Cluster 应用</a><ul class="sidebar-sub-headers"><li class="sidebar-sub-header level3"><a href="/db-tutorial/pages/77dfbe/#_4-1-集群功能限制" class="sidebar-link">4.1. 集群功能限制</a></li><li class="sidebar-sub-header level3"><a href="/db-tutorial/pages/77dfbe/#_4-2-集群规模限制" class="sidebar-link">4.2. 集群规模限制</a></li><li class="sidebar-sub-header level3"><a href="/db-tutorial/pages/77dfbe/#_4-3-集群配置" class="sidebar-link">4.3. 集群配置</a></li></ul></li><li class="sidebar-sub-header level2"><a href="/db-tutorial/pages/77dfbe/#_5-其他-redis-集群方案" class="sidebar-link">5. 其他 Redis 集群方案</a><ul class="sidebar-sub-headers"><li class="sidebar-sub-header level3"><a href="/db-tutorial/pages/77dfbe/#_5-1-客户端分区方案" class="sidebar-link">5.1. 客户端分区方案</a></li><li class="sidebar-sub-header level3"><a href="/db-tutorial/pages/77dfbe/#_5-2-代理分区方案" class="sidebar-link">5.2. 代理分区方案</a></li><li class="sidebar-sub-header level4"><a href="/db-tutorial/pages/77dfbe/#_5-2-1-twemproxy" class="sidebar-link">5.2.1. Twemproxy</a></li><li class="sidebar-sub-header level4"><a href="/db-tutorial/pages/77dfbe/#_5-2-2-codis" class="sidebar-link">5.2.2. Codis</a></li><li class="sidebar-sub-header level3"><a href="/db-tutorial/pages/77dfbe/#_5-3-查询路由方案" class="sidebar-link">5.3. 查询路由方案</a></li></ul></li><li class="sidebar-sub-header level2"><a href="/db-tutorial/pages/77dfbe/#_6-参考资料" class="sidebar-link">6. 参考资料</a></li></ul></li><li><a href="/db-tutorial/pages/1fc9c4/" class="sidebar-link">Redis 实战</a></li><li><a href="/db-tutorial/pages/537098/" class="sidebar-link">Redis 运维</a></li></ul></section></li></ul></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>列式数据库</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>搜索引擎数据库</span> <span class="arrow right"></span></p> <!----></section></li></ul> </aside> <div><main class="page"><div class="theme-vdoing-wrapper "><div class="articleInfo-wrap" data-v-06225672><div class="articleInfo" data-v-06225672><ul class="breadcrumbs" data-v-06225672><li data-v-06225672><a href="/db-tutorial/" title="首页" class="iconfont icon-home router-link-active" data-v-06225672></a></li> <li data-v-06225672><a href="/db-tutorial/categories/?category=%E6%95%B0%E6%8D%AE%E5%BA%93" title="分类" data-v-06225672>数据库</a></li><li data-v-06225672><a href="/db-tutorial/categories/?category=KV%E6%95%B0%E6%8D%AE%E5%BA%93" title="分类" data-v-06225672>KV数据库</a></li><li data-v-06225672><a href="/db-tutorial/categories/?category=Redis" title="分类" data-v-06225672>Redis</a></li></ul> <div class="info" data-v-06225672><div title="作者" class="author iconfont icon-touxiang" data-v-06225672><a href="https://github.com/dunwu" target="_blank" title="作者" class="beLink" data-v-06225672>dunwu</a></div> <div title="创建时间" class="date iconfont icon-riqi" data-v-06225672><a href="javascript:;" data-v-06225672>2020-06-24</a></div> <!----></div></div></div> <!----> <div class="content-wrapper"><div class="right-menu-wrapper"><div class="right-menu-margin"><div class="right-menu-title">目录</div> <div class="right-menu-content"></div></div></div> <h1><img src="data:image/png;base64,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">Redis 集群<!----></h1> <div class="theme-vdoing-content content__default"><h1 id="redis-集群"><a href="#redis-集群" class="header-anchor">#</a> Redis 集群</h1> <blockquote><p><strong><a href="https://redis.io/topics/cluster-tutorial" target="_blank" rel="noopener noreferrer">Redis 集群（Redis Cluster）<span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a> 是 Redis 官方提供的分布式数据库方案</strong>。</p> <p>既然是分布式，自然具备分布式系统的基本特性：可扩展、高可用、一致性。</p> <ul><li>Redis 集群通过划分 hash 槽来分区，进行数据分享。</li> <li>Redis 集群采用主从模型，提供复制和故障转移功能，来保证 Redis 集群的高可用。</li> <li>根据 CAP 理论，Consistency、Availability、Partition tolerance 三者不可兼得，而 Redis 集群的选择是 AP。Redis 集群节点间采用异步通信方式，不保证强一致性，尽力达到最终一致性。</li></ul></blockquote> <p><img src="https://raw.githubusercontent.com/dunwu/images/master/snap/20200713100613.png" alt="img"></p> <h2 id="_1-redis-cluster-分区"><a href="#_1-redis-cluster-分区" class="header-anchor">#</a> 1. Redis Cluster 分区</h2> <h3 id="_1-1-集群节点"><a href="#_1-1-集群节点" class="header-anchor">#</a> 1.1. 集群节点</h3> <p>Redis 集群由多个节点组成，节点刚启动时，彼此是相互独立的。<strong>节点通过握手（ <code>CLUSTER MEET</code> 命令）来将其他节点添加到自己所处的集群中</strong>。</p> <p>向一个节点发送 <code>CLUSTER MEET</code> 命令，可以让当前节点与指定 IP、PORT 的节点进行握手，握手成功时，当前节点会将指定节点加入所在集群。</p> <p><strong>集群节点保存键值对以及过期时间的方式与单机 Redis 服务完全相同</strong>。</p> <p>Redis 集群节点分为主节点（master）和从节点（slave），其中主节点用于处理槽，而从节点则用于复制某个主节点，并在被复制的主节点下线时，代替下线主节点继续处理命令请求。</p> <h3 id="_1-2-分配-hash-槽"><a href="#_1-2-分配-hash-槽" class="header-anchor">#</a> 1.2. 分配 Hash 槽</h3> <p>分布式存储需要解决的首要问题是把 <strong>整个数据集</strong> 按照 <strong>分区规则</strong> 映射到 <strong>多个节点</strong> 的问题，即把 <strong>数据集</strong> 划分到 <strong>多个节点</strong> 上，每个节点负责 <strong>整体数据</strong> 的一个 <strong>子集</strong>。</p> <p><strong>Redis 集群通过划分 hash 槽来将数据分区</strong>。Redis 集群通过分区的方式来保存数据库的键值对：<strong>集群的整个数据库被分为 16384 个哈希槽（slot）</strong>，数据库中的每个键都属于这 16384 个槽的其中一个，集群中的每个节点可以处理 0 个或最多 16384 个槽。<strong>如果数据库中有任何一个槽没有得到处理，那么集群处于下线状态</strong>。</p> <p>通过向节点发送 <a href="https://redis.io/commands/cluster-addslots" target="_blank" rel="noopener noreferrer"><code>CLUSTER ADDSLOTS</code><span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a> 命令，可以将一个或多个槽指派给节点负责。</p> <div class="language- extra-class"><pre class="language-text"><code>> CLUSTER ADDSLOTS 1 2 3
|
||
OK
|
||
</code></pre></div><p>集群中的每个节点负责一部分哈希槽，比如集群中有３个节点，则：</p> <ul><li>节点Ａ存储的哈希槽范围是：0 – 5500</li> <li>节点Ｂ存储的哈希槽范围是：5501 – 11000</li> <li>节点Ｃ存储的哈希槽范围是：11001 – 16384</li></ul> <h3 id="_1-3-寻址"><a href="#_1-3-寻址" class="header-anchor">#</a> 1.3. 寻址</h3> <p>当客户端向节点发送与数据库键有关的命令时，接受命令的节点会<strong>计算出命令要处理的数据库属于哪个槽</strong>，并<strong>检查这个槽是否指派给了自己</strong>：</p> <ul><li>如果键所在的槽正好指派给了当前节点，那么当前节点直接执行命令。</li> <li>如果键所在的槽没有指派给当前节点，那么节点会向客户端返回一个 MOVED 错误，指引客户端重定向至正确的节点。</li></ul> <h4 id="_1-3-1-计算键属于哪个槽"><a href="#_1-3-1-计算键属于哪个槽" class="header-anchor">#</a> 1.3.1. 计算键属于哪个槽</h4> <p>决定一个 key 应该分配到那个槽的算法是：<strong>计算该 key 的 CRC16 结果再模 16834</strong>。</p> <div class="language- extra-class"><pre class="language-text"><code>HASH_SLOT = CRC16(KEY) mod 16384
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||
</code></pre></div><p>当节点计算出 key 所属的槽为 i 之后，节点会根据以下条件判断槽是否由自己负责：</p> <div class="language- extra-class"><pre class="language-text"><code>clusterState.slots[i] == clusterState.myself
|
||
</code></pre></div><h4 id="_1-3-2-moved-错误"><a href="#_1-3-2-moved-错误" class="header-anchor">#</a> 1.3.2. MOVED 错误</h4> <p>当节点发现键所在的槽并非自己负责处理的时候，节点就会向客户端返回一个 <code>MOVED</code> 错误，指引客户端转向正在负责槽的节点。</p> <p><code>MOVED</code> 错误的格式为：</p> <div class="language- extra-class"><pre class="language-text"><code>MOVED <slot> <ip>:<port>
|
||
</code></pre></div><blockquote><p>个人理解：MOVED 这种操作有点类似 HTTP 协议中的重定向。</p></blockquote> <h3 id="_1-4-重新分区"><a href="#_1-4-重新分区" class="header-anchor">#</a> 1.4. 重新分区</h3> <p>Redis 集群的<strong>重新分区操作可以将任意数量的已经指派给某个节点（源节点）的槽改为指派给另一个节点（目标节点），并且相关槽所属的键值对也会从源节点被移动到目标节点</strong>。</p> <p>重新分区操作<strong>可以在线进</strong>行，在重新分区的过程中，集群不需要下线，并且源节点和目标节点都可以继续处理命令请求。</p> <p>Redis 集群的重新分区操作由 Redis 集群管理软件 <strong>redis-trib</strong> 负责执行的，redis-trib 通过向源节点和目标节点发送命令来进行重新分区操作。</p> <p>重新分区的实现原理如下图所示：</p> <p><img src="https://raw.githubusercontent.com/dunwu/images/master/cs/database/redis/redis-cluster-trib.png" alt="img"></p> <h3 id="_1-5-ask-错误"><a href="#_1-5-ask-错误" class="header-anchor">#</a> 1.5. ASK 错误</h3> <p><code>ASK</code> 错误与 <code>MOVED</code> 的区别在于：<strong>ASK 错误只是两个节点在迁移槽的过程中使用的一种临时措施</strong>，在客户端收到关于槽 X 的 ASK 错误之后，客户端只会在接下来的一次命令请求中将关于槽 X 的命令请求发送至 ASK 错误所指示的节点，但这种转向不会对客户端今后发送关于槽 X 的命令请求产生任何影响，客户端仍然会将关于槽 X 的命令请求发送至目前负责处理槽 X 的节点，除非 ASK 错误再次出现。</p> <p>判断 ASK 错误的过程如下图所示：</p> <p><img src="https://raw.githubusercontent.com/dunwu/images/master/cs/database/redis/redis-ask.png" alt="img"></p> <h2 id="_2-redis-cluster-故障转移"><a href="#_2-redis-cluster-故障转移" class="header-anchor">#</a> 2. Redis Cluster 故障转移</h2> <h3 id="_2-1-复制"><a href="#_2-1-复制" class="header-anchor">#</a> 2.1. 复制</h3> <p>Redis 复制机制可以参考：<a href="/db-tutorial/12.数据库/05.KV数据库/01.Redis/docs/05.KV数据库/01.Redis/05.Redis复制.html">Redis 复制</a></p> <h3 id="_2-2-故障检测"><a href="#_2-2-故障检测" class="header-anchor">#</a> 2.2. 故障检测</h3> <p><strong>集群中每个节点都会定期向集群中的其他节点发送 PING 消息，以此来检测对方是否在线</strong>。</p> <p>节点的状态信息可以分为：</p> <ul><li><p>在线状态；</p></li> <li><p>下线状态（FAIL）;</p></li> <li><p>疑似下线状态（PFAIL），即在规定的时间内，没有应答 PING 消息；</p></li></ul> <h3 id="_2-3-故障转移"><a href="#_2-3-故障转移" class="header-anchor">#</a> 2.3. 故障转移</h3> <ol><li>下线主节点的所有从节点中，会有一个从节点被选中。</li> <li>被选中的从节点会执行 <code>SLAVEOF no one</code> 命令，成为新的主节点。</li> <li>新的主节点会撤销所有对已下线主节点的槽指派，并将这些槽全部指派给自己。</li> <li>新的主节点向集群广播一条 PONG 消息，告知其他节点这个从节点已变成主节点。</li></ol> <h3 id="_2-4-选举新的主节点"><a href="#_2-4-选举新的主节点" class="header-anchor">#</a> 2.4. 选举新的主节点</h3> <p>Redis 集群选举新的主节点流程基于<a href="https://www.jianshu.com/p/8e4bbe7e276c" target="_blank" rel="noopener noreferrer">共识算法：Raft<span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a></p> <h2 id="_3-redis-cluster-通信"><a href="#_3-redis-cluster-通信" class="header-anchor">#</a> 3. Redis Cluster 通信</h2> <p>集群中的节点通过发送和接收消息来进行通信。</p> <p>Redis 集群节点发送的消息主要有以下五种：</p> <ul><li><code>MEET</code> - 请求接收方加入发送方所在的集群。</li> <li><code>PING</code> - 集群中每个节点每隔一段时间（默认为一秒）从已知节点列表中随机选出五个节点，然后对这五个节点中最久没联系的节点发送 PING 消息，以此检测被选中的节点是否在线。</li> <li><code>PONG</code> - 当接收方收到发送方发来的 MEET 消息或 PING 消息时，会返回一条 PONG 消息作为应答。</li> <li><code>FAIL</code> - 当一个主节点 A 判断另一个主节点 B 已经进入 FAIL 状态时，节点 A 会向集群广播一条关于节点 B 的 FAIL 消息，所有收到这条消息的节点都会立即将节点 B 标记为已下线。</li> <li><code>PUBLISH</code> - 当节点收到一个 PUBLISH 命令时，节点会执行这个命令，并向集群广播一条 PUBLISH 消息，所有接受到这条消息的节点都会执行相同的 PUBLISH 命令。</li></ul> <h2 id="_4-redis-cluster-应用"><a href="#_4-redis-cluster-应用" class="header-anchor">#</a> 4. Redis Cluster 应用</h2> <h3 id="_4-1-集群功能限制"><a href="#_4-1-集群功能限制" class="header-anchor">#</a> 4.1. 集群功能限制</h3> <p>Redis 集群相对 <strong>单机</strong>，存在一些功能限制，需要 <strong>开发人员</strong> 提前了解，在使用时做好规避。</p> <ul><li><p><code>key</code> <strong>批量操作</strong> 支持有限：类似 <code>mset</code>、<code>mget</code> 操作，目前只支持对具有相同 <code>slot</code> 值的 <code>key</code> 执行 <strong>批量操作</strong>。对于 <strong>映射为不同</strong> <code>slot</code> 值的 <code>key</code> 由于执行 <code>mget</code>、<code>mget</code> 等操作可能存在于多个节点上，因此不被支持。</p></li> <li><p><code>key</code> <strong>事务操作</strong> 支持有限：只支持 <strong>多</strong> <code>key</code> 在 <strong>同一节点上</strong> 的 <strong>事务操作</strong>，当多个 <code>key</code> 分布在 <strong>不同</strong> 的节点上时 <strong>无法</strong> 使用事务功能。</p></li> <li><p><code>key</code> 作为 <strong>数据分区</strong> 的最小粒度，不能将一个 <strong>大的键值</strong> 对象如 <code>hash</code>、<code>list</code> 等映射到 <strong>不同的节点</strong>。</p></li> <li><p>不支持 <strong>多数据库空间</strong>：<strong>单机</strong> 下的 Redis 可以支持 <code>16</code> 个数据库（<code>db0 ~ db15</code>），<strong>集群模式</strong> 下只能使用 <strong>一个</strong> 数据库空间，即 <code>db0</code>。</p></li> <li><p><strong>复制结构</strong> 只支持一层：<strong>从节点</strong> 只能复制 <strong>主节点</strong>，不支持 <strong>嵌套树状复制</strong> 结构。</p></li></ul> <h3 id="_4-2-集群规模限制"><a href="#_4-2-集群规模限制" class="header-anchor">#</a> 4.2. 集群规模限制</h3> <p>Redis Cluster 的优点是易于使用。分区、主从复制、弹性扩容这些功能都可以做到自动化，通过简单的部署就可以获得一个大容量、高可靠、高可用的 Redis 集群，并且对于应用来说，近乎于是透明的。</p> <p>所以，<strong>Redis Cluster 非常适合构建中小规模 Redis 集群</strong>，这里的中小规模指的是，大概几个到几十个节点这样规模的 Redis 集群。</p> <p>但是 Redis Cluster 不太适合构建超大规模集群，主要原因是，它采用了去中心化的设计。</p> <p>Redis 的每个节点上，都保存了所有槽和节点的映射关系表，客户端可以访问任意一个节点，再通过重定向命令，找到数据所在的那个节点。那么，这个映射关系表是如何更新的呢？Redis Cluster 采用了一种去中心化的流言 (Gossip) 协议来传播集群配置的变化。</p> <p>Gossip 协议的优点是去中心化；缺点是传播速度慢，并且是集群规模越大，传播的越慢。</p> <h3 id="_4-3-集群配置"><a href="#_4-3-集群配置" class="header-anchor">#</a> 4.3. 集群配置</h3> <p>我们后面会部署一个 Redis 集群作为例子，在那之前，先介绍一下集群在 redis.conf 中的参数。</p> <ul><li><strong>cluster-enabled</strong> <code><yes/no></code> - 如果配置”yes”则开启集群功能，此 redis 实例作为集群的一个节点，否则，它是一个普通的单一的 redis 实例。</li> <li><strong>cluster-config-file</strong> <code><filename></code> - 注意：虽然此配置的名字叫“集群配置文件”，但是此配置文件不能人工编辑，它是集群节点自动维护的文件，主要用于记录集群中有哪些节点、他们的状态以及一些持久化参数等，方便在重启时恢复这些状态。通常是在收到请求之后这个文件就会被更新。</li> <li><strong>cluster-node-timeout</strong> <code><milliseconds></code> - 这是集群中的节点能够失联的最大时间，超过这个时间，该节点就会被认为故障。如果主节点超过这个时间还是不可达，则用它的从节点将启动故障迁移，升级成主节点。注意，任何一个节点在这个时间之内如果还是没有连上大部分的主节点，则此节点将停止接收任何请求。</li> <li><strong>cluster-slave-validity-factor</strong> <code><factor></code> - 如果设置成０，则无论从节点与主节点失联多久，从节点都会尝试升级成主节点。如果设置成正数，则 cluster-node-timeout 乘以 cluster-slave-validity-factor 得到的时间，是从节点与主节点失联后，此从节点数据有效的最长时间，超过这个时间，从节点不会启动故障迁移。假设 cluster-node-timeout=5，cluster-slave-validity-factor=10，则如果从节点跟主节点失联超过 50 秒，此从节点不能成为主节点。注意，如果此参数配置为非 0，将可能出现由于某主节点失联却没有从节点能顶上的情况，从而导致集群不能正常工作，在这种情况下，只有等到原来的主节点重新回归到集群，集群才恢复运作。</li> <li><strong>cluster-migration-barrier</strong> <code><count></code> - 主节点需要的最小从节点数，只有达到这个数，主节点失败时，它从节点才会进行迁移。更详细介绍可以看本教程后面关于副本迁移到部分。</li> <li><strong>cluster-require-full-coverage</strong> <code><yes/no></code> - 在部分 key 所在的节点不可用时，如果此参数设置为”yes”(默认值), 则整个集群停止接受操作；如果此参数设置为”no”，则集群依然为可达节点上的 key 提供读操作。</li></ul> <h2 id="_5-其他-redis-集群方案"><a href="#_5-其他-redis-集群方案" class="header-anchor">#</a> 5. 其他 Redis 集群方案</h2> <p>Redis Cluster 不太适合用于大规模集群，所以，如果要构建超大 Redis 集群，需要选择替代方案。一般有三种方案类型：</p> <ul><li>客户端分区方案</li> <li>代理分区方案</li> <li>查询路由方案</li></ul> <h3 id="_5-1-客户端分区方案"><a href="#_5-1-客户端分区方案" class="header-anchor">#</a> 5.1. 客户端分区方案</h3> <p><strong>客户端</strong> 就已经决定数据会被 <strong>存储</strong> 到哪个 Redis 节点或者从哪个 Redis 节点 <strong>读取数据</strong>。其主要思想是采用 <strong>哈希算法</strong> 将 Redis 数据的 <code>key</code> 进行散列，通过 <code>hash</code> 函数，特定的 <code>key</code>会 <strong>映射</strong> 到特定的 Redis 节点上。</p> <p><strong>客户端分区方案</strong> 的代表为 Redis Sharding，Redis Sharding 是 Redis Cluster 出来之前，业界普遍使用的 Redis <strong>多实例集群</strong> 方法。Java 的 Redis 客户端驱动库 <a href="https://github.com/redis/jedis" target="_blank" rel="noopener noreferrer"><strong>Jedis</strong><span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a>，支持 Redis Sharding 功能，即 ShardedJedis 以及 <strong>结合缓存池</strong> 的 ShardedJedisPool。</p> <ul><li><p><strong>优点</strong>：不使用 <strong>第三方中间件</strong>，<strong>分区逻辑</strong> 可控，<strong>配置</strong> 简单，节点之间无关联，容易 <strong>线性扩展</strong>，灵活性强。</p></li> <li><p><strong>缺点</strong>：<strong>客户端</strong> 无法 <strong>动态增删</strong> 服务节点，客户端需要自行维护 <strong>分发逻辑</strong>，客户端之间 <strong>无连接共享</strong>，会造成 <strong>连接浪费</strong>。</p></li></ul> <h3 id="_5-2-代理分区方案"><a href="#_5-2-代理分区方案" class="header-anchor">#</a> 5.2. 代理分区方案</h3> <p><strong>客户端</strong> 发送请求到一个 <strong>代理组件</strong>，<strong>代理</strong> 解析 <strong>客户端</strong> 的数据，并将请求转发至正确的节点，最后将结果回复给客户端。</p> <ul><li><strong>优点</strong>：简化 <strong>客户端</strong> 的分布式逻辑，<strong>客户端</strong> 透明接入，切换成本低，代理的 <strong>转发</strong> 和 <strong>存储</strong> 分离。</li> <li><strong>缺点</strong>：多了一层 <strong>代理层</strong>，加重了 <strong>架构部署复杂度</strong> 和 <strong>性能损耗</strong>。</li></ul> <p><strong>代理分区</strong> 主流实现的有方案有 <strong><a href="https://github.com/twitter/twemproxy" target="_blank" rel="noopener noreferrer">Twemproxy<span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a></strong> 和 <a href="https://github.com/CodisLabs/codis" target="_blank" rel="noopener noreferrer"><strong>Codis</strong><span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a>。</p> <h4 id="_5-2-1-twemproxy"><a href="#_5-2-1-twemproxy" class="header-anchor">#</a> 5.2.1. Twemproxy</h4> <p><strong><a href="https://github.com/twitter/twemproxy" target="_blank" rel="noopener noreferrer">Twemproxy<span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a></strong> 也叫 <code>nutcraker</code>，是 Twitter 开源的一个 Redis 和 Memcache 的 <strong>中间代理服务器</strong> 程序。</p> <p><strong><a href="https://github.com/twitter/twemproxy" target="_blank" rel="noopener noreferrer">Twemproxy<span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a></strong> 作为 <strong>代理</strong>，可接受来自多个程序的访问，按照 <strong>路由规则</strong>，转发给后台的各个 Redis 服务器，再原路返回。<strong><a href="https://github.com/twitter/twemproxy" target="_blank" rel="noopener noreferrer">Twemproxy<span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a></strong> 存在 <strong>单点故障</strong> 问题，需要结合 Lvs 和 Keepalived 做 <strong>高可用方案</strong>。</p> <ul><li><strong>优点</strong>：应用范围广，稳定性较高，中间代理层 <strong>高可用</strong>。</li> <li><strong>缺点</strong>：无法平滑地 <strong>水平扩容/缩容</strong>，无 <strong>可视化管理界面</strong>，运维不友好，出现故障，不能 <strong>自动转移</strong>。</li></ul> <h4 id="_5-2-2-codis"><a href="#_5-2-2-codis" class="header-anchor">#</a> 5.2.2. Codis</h4> <p><a href="https://github.com/CodisLabs/codis" target="_blank" rel="noopener noreferrer"><strong>Codis</strong><span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a> 是一个 <strong>分布式</strong> Redis 解决方案，对于上层应用来说，连接 Codis-Proxy 和直接连接 <strong>原生的</strong> Redis-Server 没有的区别。<a href="https://github.com/CodisLabs/codis" target="_blank" rel="noopener noreferrer"><strong>Codis</strong><span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a> 底层会 <strong>处理请求的转发</strong>，不停机的进行 <strong>数据迁移</strong> 等工作。<a href="https://github.com/CodisLabs/codis" target="_blank" rel="noopener noreferrer"><strong>Codis</strong><span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a> 采用了无状态的 <strong>代理层</strong>，对于 <strong>客户端</strong> 来说，一切都是透明的。</p> <ul><li><p><strong>优点</strong>：实现了上层 Proxy 和底层 Redis 的 <strong>高可用</strong>，<strong>数据分区</strong> 和 <strong>自动平衡</strong>，提供 <strong>命令行接口</strong> 和 RESTful API，提供 <strong>监控</strong> 和 <strong>管理</strong> 界面，可以动态 <strong>添加</strong> 和 <strong>删除</strong> Redis 节点。</p></li> <li><p><strong>缺点</strong>：<strong>部署架构</strong> 和 <strong>配置</strong> 复杂，不支持 <strong>跨机房</strong> 和 <strong>多租户</strong>，不支持 <strong>鉴权管理</strong>。</p></li></ul> <h3 id="_5-3-查询路由方案"><a href="#_5-3-查询路由方案" class="header-anchor">#</a> 5.3. 查询路由方案</h3> <p><strong>客户端随机地</strong> 请求任意一个 Redis 实例，然后由 Redis 将请求 <strong>转发</strong> 给 <strong>正确</strong> 的 Redis 节点。Redis Cluster 实现了一种 <strong>混合形式</strong> 的 <strong>查询路由</strong>，但并不是 <strong>直接</strong> 将请求从一个 Redis 节点 <strong>转发</strong> 到另一个 Redis 节点，而是在 <strong>客户端</strong> 的帮助下直接 <strong>重定向</strong>（ <code>redirected</code>）到正确的 Redis 节点。</p> <ul><li><p><strong>优点</strong>：<strong>去中心化</strong>，数据按照 <strong>槽</strong> 存储分布在多个 Redis 实例上，可以平滑的进行节点 <strong>扩容/缩容</strong>，支持 <strong>高可用</strong> 和 <strong>自动故障转移</strong>，运维成本低。</p></li> <li><p><strong>缺点</strong>：重度依赖 Redis-trib 工具，缺乏 <strong>监控管理</strong>，需要依赖 Smart Client (<strong>维护连接</strong>，<strong>缓存路由表</strong>，<code>MultiOp</code> 和 <code>Pipeline</code> 支持)。Failover 节点的 <strong>检测过慢</strong>，不如有 <strong>中心节点</strong> 的集群及时（如 ZooKeeper）。Gossip 消息采用广播方式，集群规模越大，开销越大。无法根据统计区分 <strong>冷热数据</strong>。</p></li></ul> <h2 id="_6-参考资料"><a href="#_6-参考资料" class="header-anchor">#</a> 6. 参考资料</h2> <ul><li><strong>官网</strong> <ul><li><a href="https://redis.io/" target="_blank" rel="noopener noreferrer">Redis 官网<span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a></li> <li><a href="https://github.com/antirez/redis" target="_blank" rel="noopener noreferrer">Redis github<span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a></li> <li><a href="http://redis.cn/" target="_blank" rel="noopener noreferrer">Redis 官方文档中文版<span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a></li></ul></li> <li><strong>中间件</strong> <ul><li><a href="https://github.com/twitter/twemproxy" target="_blank" rel="noopener noreferrer">Twemproxy<span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a></li> <li><a href="https://github.com/CodisLabs/codis" target="_blank" rel="noopener noreferrer">Codis<span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a></li></ul></li> <li><strong>书籍</strong> <ul><li><a href="https://item.jd.com/11791607.html" target="_blank" rel="noopener noreferrer">《Redis 实战》<span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a></li> <li><a href="https://item.jd.com/11486101.html" target="_blank" rel="noopener noreferrer">《Redis 设计与实现》<span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a></li></ul></li> <li><strong>教程</strong> <ul><li><a href="https://time.geekbang.org/column/intro/100046801" target="_blank" rel="noopener noreferrer">后端存储实战课<span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a></li></ul></li> <li><strong>文章</strong> <ul><li><a href="http://ifeve.com/redis-cluster-tutorial/" target="_blank" rel="noopener noreferrer">Redis 集群教程<span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a></li> <li><a href="https://www.jianshu.com/p/c869feb5581d" target="_blank" rel="noopener noreferrer">Redis 集群的原理和搭建<span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a></li> <li><a href="https://juejin.im/post/5b8fc5536fb9a05d2d01fb11" target="_blank" rel="noopener noreferrer">深入剖析 Redis 系列(三) - Redis 集群模式搭建与原理详解<span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a></li></ul></li></ul></div></div> <div class="page-edit"><div class="edit-link"><a href="https://github.com/dunwu/db-tutorial/edit/master/docs/12.数据库/05.KV数据库/01.Redis/07.Redis集群.md" target="_blank" rel="noopener noreferrer">📝 帮助改善此页面！</a> <span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></div> <div class="tags"><a href="/db-tutorial/tags/?tag=%E6%95%B0%E6%8D%AE%E5%BA%93" title="标签">#数据库</a><a href="/db-tutorial/tags/?tag=KV%E6%95%B0%E6%8D%AE%E5%BA%93" title="标签">#KV数据库</a><a 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<a href="https://github.com/xugaoyi/vuepress-theme-vdoing" target="_blank" title="本站主题">Vdoing</a>
|
||
| Copyright © 2019-2024
|
||
<span>钝悟（dunwu） | CC-BY-SA-4.0</span></div> <div class="buttons"><div title="返回顶部" class="button blur go-to-top iconfont icon-fanhuidingbu" style="display:none;"></div> <div title="去评论" class="button blur go-to-comment iconfont icon-pinglun" style="display:none;"></div> <div title="主题模式" class="button blur theme-mode-but iconfont icon-zhuti"><ul class="select-box" style="display:none;"><li class="iconfont icon-zidong">
|
||
跟随系统
|
||
</li><li class="iconfont icon-rijianmoshi">
|
||
浅色模式
|
||
</li><li class="iconfont icon-yejianmoshi">
|
||
深色模式
|
||
</li><li class="iconfont icon-yuedu">
|
||
阅读模式
|
||
</li></ul></div></div> <!----> <!----> <div class="custom-html-window custom-html-window-rb" style="display:;"><div class="custom-wrapper"><span class="close-but">×</span> <div>
|
||
<div class="wwads-cn wwads-vertical windowRB" data-id="261" style="max-width:160px;
|
||
min-width: auto;min-height:auto;"></div>
|
||
<style>
|
||
.windowRB{ padding: 0;}
|
||
.windowRB .wwads-img{margin-top: 10px;}
|
||
.windowRB .wwads-content{margin: 0 10px 40px 10px;}
|
||
.custom-html-window-rb .close-but{
|
||
display: none;
|
||
}
|
||
</style>
|
||
</div></div></div></div><div class="global-ui"><div></div></div></div>
|
||
<script src="/db-tutorial/assets/js/app.be3f2e92.js" defer></script><script src="/db-tutorial/assets/js/2.aded268b.js" defer></script><script src="/db-tutorial/assets/js/50.ee6f08b7.js" defer></script>
|
||
</body>
|
||
</html>
|