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| <p class="title is-size-2 is-centered">流量控制</p> |
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| <h1 id="关于流控">关于流控</h1> |
| <p>流量控制是指通过一些手段来控制读写请求的速度。</p> |
| |
| <p>为什么要做流量控制？主要是减小集群压力，提升稳定性。如果集群的写流量太大，就会消耗大量的系统资源（CPU、IO等），从而影响读请求的延迟。有些业务对读性能要求比较高，如果对写流量不加控制，就无法保证服务质量。</p> |
| |
| <p>从流控的作用位置来看，可分为：</p> |
| <ul> |
| <li>客户端流控：从源头掐住流量。优点是避免不必要的网络传输；缺点是需要在客户端增加逻辑，且因为无法掌控用户的使用方式造成流控难以准确。</li> |
| <li>服务端流控：在ReplicaServer节点上进行流控。优点是对客户端透明，流控集中容易掌控；缺点是只能通过增大延迟或者拒绝请求的方式来流控，不够直接，另外可能无法避免不必要的网络传输。</li> |
| </ul> |
| |
| <p>从流控的粒度来看，可分为：</p> |
| <ul> |
| <li>表级流控：只控制单个表的流控，粒度较细。</li> |
| <li>节点级流控：针对ReplicaServer节点进行的流控，不区分具体的表。</li> |
| </ul> |
| |
| <h1 id="客户端流控">客户端流控</h1> |
| |
| <p>目前Java客户端提供了流控工具，参见<a href="/zh/clients/java-client#流量控制">Java客户端文档#流量控制</a>。</p> |
| |
| <h1 id="服务端流控">服务端流控</h1> |
| |
| <h1 id="表级流控">表级流控</h1> |
| |
| <p>从v1.11.2版本开始，Pegasus支持Server端表级流控，目前只针对写操作。另外，从v1.12.0版本开始增加了基于吞吐量的限流。</p> |
| |
| <p>实现原理：</p> |
| <ul> |
| <li>用户可以在<a href="table-env">Table环境变量</a>中设置<code class="language-plaintext highlighter-rouge">replica.write_throttling</code>和<code class="language-plaintext highlighter-rouge">replica.write_throttling_by_size</code>环境变量。其中<code class="language-plaintext highlighter-rouge">replica.write_throttling</code>是基于qps的限流，<code class="language-plaintext highlighter-rouge">replica.write_throttling_by_size</code>是基于吞吐量的限流。</li> |
| <li>MetaServer将环境变量异步地通知到各个ReplicaServer，使该表的每个replica都获取到该环境变量，这个过程大约有几秒到几十秒不等的延迟，但是不会超过一分钟。</li> |
| <li>replica获得环境变量后，解析获得write_throttling流控配置，并立即开始生效。</li> |
| </ul> |
| |
| <p>write_throttling流控目前支持两种操作类型：</p> |
| <ul> |
| <li>delay：server端收到请求后不立即处理，而是推迟一段时间后再处理，这样使client端的写延迟增大，间接达到流控的目的。</li> |
| <li>reject：server端收到请求后不进行处理，而是返回ERR_BUSY的错误码。可以推迟一段时间再返回错误码，以增大客户端收到错误的延迟，避免客户端立即重试，造成频繁的不必要重试。</li> |
| </ul> |
| |
| <p>环境变量<code class="language-plaintext highlighter-rouge">replica.write_throttling</code>/<code class="language-plaintext highlighter-rouge">replica.write_throttling_by_size</code>的value格式：</p> |
| <div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>{delay_qps_threshold}*delay*{delay_ms},{reject_qps_threshold}*reject*{delay_ms_before_reject} |
| </code></pre></div></div> |
| <p>注：</p> |
| <ul> |
| <li>delay_qps_threshold：触发delay操作的QPS阈值。如果1秒内处理的写请求数超过这个值，则这1秒内后面的请求都执行delay操作。</li> |
| <li>delay_ms：delay操作的推迟时间，单位毫秒，需满足>=0。</li> |
| <li>reject_qps_threshold：触发reject操作的QPS阈值。如果1秒内处理的写请求数超过这个值，则这1秒内后面的请求都执行reject操作。</li> |
| <li>delay_ms_before_reject：reject操作返回错误码之前的推迟时间，单位毫秒，需满足>=0。</li> |
| <li>delay和reject配置可以同时提供两个，也可以只提供其中一个。</li> |
| <li>如果delay和reject配置同时提供，且QPS同时达到了delay和reject的阈值，那么会执行reject操作。</li> |
| </ul> |
| |
| <p>示例：</p> |
| <div class="language-bash highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="nv">$ </span>./run.sh shell |
| <span class="o">>>></span> use temp |
| OK |
| <span class="o">>>></span> set_app_envs replica.write_throttling 1000<span class="k">*</span>delay<span class="k">*</span>100,2000<span class="k">*</span>reject<span class="k">*</span>200 |
| <span class="nb">set </span>app envs succeed |
| <span class="o">>>></span> get_app_envs |
| get app envs succeed, count <span class="o">=</span> 1 |
| <span class="o">=================================</span> |
| replica.write_throttling <span class="o">=</span> 1000<span class="k">*</span>delay<span class="k">*</span>100,2000<span class="k">*</span>reject<span class="k">*</span>200 |
| <span class="o">=================================</span> |
| <span class="o">>>></span> |
| </code></pre></div></div> |
| |
| <p>上面我们设置了<code class="language-plaintext highlighter-rouge">temp</code>表的write_throttling配置为<code class="language-plaintext highlighter-rouge">1000*delay*100,2000*reject*200</code>，这个配置的意思是：当QPS超过1000时，就开始执行delay操作；当QPS超过2000时，就开始执行reject操作。</p> |
| |
| <h2 id="节点级流控">节点级流控</h2> |
| |
| <p>待补充。</p> |
| |
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