doc: update the outdated computer download link (#278) 625437b

cn/docs/_print/index.html

@@ -1343,14 +1343,14 @@
 </span></span><span style=display:flex><span>        <span style=color:#000>hugeClient</span><span style=color:#ce5c00;font-weight:700>.</span><span style=color:#c4a000>close</span><span style=color:#ce5c00;font-weight:700>();</span>
 </span></span><span style=display:flex><span>    <span style=color:#ce5c00;font-weight:700>}</span>
 </span></span><span style=display:flex><span><span style=color:#ce5c00;font-weight:700>}</span>
-</span></span></code></pre></div><h3 id=44-运行example>4.4 运行Example</h3><p>运行Example之前需要启动Server, 启动过程见<a href=/cn/docs/quickstart/hugegraph-server>HugeGraph-Server Quick Start</a></p><h3 id=45-example示例说明>4.5 Example示例说明</h3><p>示例说明见<a href=/cn/docs/clients/hugegraph-client>HugeGraph-Client基本API介绍</a></p></div><div class=td-content style=page-break-before:always><h1 id=pg-e68a801476ae8ef5e45c79949a3a5e44>3.6 - HugeGraph-Computer Quick Start</h1><h2 id=1-hugegraph-computer-概述>1 HugeGraph-Computer 概述</h2><p><a href=https://github.com/apache/incubator-hugegraph-computer><code>HugeGraph-Computer</code></a> 是分布式图处理系统 (OLAP). 它是 <a href=https://kowshik.github.io/JPregel/pregel_paper.pdf>Pregel</a> 的一个实现. 它可以运行在 Kubernetes 上。</p><h3 id=特性>特性</h3><ul><li>支持分布式MPP图计算，集成HugeGraph作为图输入输出存储。</li><li>算法基于BSP(Bulk Synchronous Parallel)模型，通过多次并行迭代进行计算，每一次迭代都是一次超步。</li><li>自动内存管理。该框架永远不会出现 OOM（内存不足），因为如果它没有足够的内存来容纳所有数据，它会将一些数据拆分到磁盘。</li><li>边的部分或超级节点的消息可以在内存中，所以你永远不会丢失它。</li><li>您可以从 HDFS 或 HugeGraph 或任何其他系统加载数据。</li><li>您可以将结果输出到 HDFS 或 HugeGraph，或任何其他系统。</li><li>易于开发新算法。您只需要像在单个服务器中一样专注于仅顶点处理，而不必担心消息传输和内存存储管理。</li></ul><h2 id=2-开始>2 开始</h2><h3 id=21-在本地运行-pagerank-算法>2.1 在本地运行 PageRank 算法</h3><blockquote><p>要使用 HugeGraph-Computer 运行算法，您需要安装 64 位 Java 11 或更高版本。</p><p>还需要首先部署 HugeGraph-Server 和 <a href=https://etcd.io/docs/v3.5/quickstart/>Etcd</a>.</p></blockquote><p>有两种方式可以获取 HugeGraph-Computer：</p><ul><li>下载已编译的压缩包</li><li>克隆源码编译打包</li></ul><h4 id=21-download-the-compiled-archive>2.1 Download the compiled archive</h4><p>下载最新版本的 HugeGraph-Computer release 包：</p><div class=highlight><pre tabindex=0 style=background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-bash data-lang=bash><span style=display:flex><span>wget https://github.com/apache/hugegraph-computer/releases/download/v<span style=color:#4e9a06>${</span><span style=color:#000>version</span><span style=color:#4e9a06>}</span>/hugegraph-loader-<span style=color:#4e9a06>${</span><span style=color:#000>version</span><span style=color:#4e9a06>}</span>.tar.gz
-</span></span><span style=display:flex><span>tar zxvf hugegraph-computer-<span style=color:#4e9a06>${</span><span style=color:#000>version</span><span style=color:#4e9a06>}</span>.tar.gz
+</span></span></code></pre></div><h3 id=44-运行example>4.4 运行Example</h3><p>运行Example之前需要启动Server, 启动过程见<a href=/cn/docs/quickstart/hugegraph-server>HugeGraph-Server Quick Start</a></p><h3 id=45-example示例说明>4.5 Example示例说明</h3><p>示例说明见<a href=/cn/docs/clients/hugegraph-client>HugeGraph-Client基本API介绍</a></p></div><div class=td-content style=page-break-before:always><h1 id=pg-e68a801476ae8ef5e45c79949a3a5e44>3.6 - HugeGraph-Computer Quick Start</h1><h2 id=1-hugegraph-computer-概述>1 HugeGraph-Computer 概述</h2><p><a href=https://github.com/apache/incubator-hugegraph-computer><code>HugeGraph-Computer</code></a> 是分布式图处理系统 (OLAP). 它是 <a href=https://kowshik.github.io/JPregel/pregel_paper.pdf>Pregel</a> 的一个实现. 它可以运行在 Kubernetes 上。</p><h3 id=特性>特性</h3><ul><li>支持分布式MPP图计算，集成HugeGraph作为图输入输出存储。</li><li>算法基于BSP(Bulk Synchronous Parallel)模型，通过多次并行迭代进行计算，每一次迭代都是一次超步。</li><li>自动内存管理。该框架永远不会出现 OOM（内存不足），因为如果它没有足够的内存来容纳所有数据，它会将一些数据拆分到磁盘。</li><li>边的部分或超级节点的消息可以在内存中，所以你永远不会丢失它。</li><li>您可以从 HDFS 或 HugeGraph 或任何其他系统加载数据。</li><li>您可以将结果输出到 HDFS 或 HugeGraph，或任何其他系统。</li><li>易于开发新算法。您只需要像在单个服务器中一样专注于仅顶点处理，而不必担心消息传输和内存存储管理。</li></ul><h2 id=2-开始>2 开始</h2><h3 id=21-在本地运行-pagerank-算法>2.1 在本地运行 PageRank 算法</h3><blockquote><p>要使用 HugeGraph-Computer 运行算法，您需要安装 64 位 Java 11 或更高版本。</p><p>还需要首先部署 HugeGraph-Server 和 <a href=https://etcd.io/docs/v3.5/quickstart/>Etcd</a>.</p></blockquote><p>有两种方式可以获取 HugeGraph-Computer：</p><ul><li>下载已编译的压缩包</li><li>克隆源码编译打包</li></ul><h4 id=21-download-the-compiled-archive>2.1 Download the compiled archive</h4><p>下载最新版本的 HugeGraph-Computer release 包：</p><div class=highlight><pre tabindex=0 style=background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-bash data-lang=bash><span style=display:flex><span>wget https://downloads.apache.org/incubator/hugegraph/<span style=color:#4e9a06>${</span><span style=color:#000>version</span><span style=color:#4e9a06>}</span>/apache-hugegraph-computer-incubating-<span style=color:#4e9a06>${</span><span style=color:#000>version</span><span style=color:#4e9a06>}</span>.tar.gz
+</span></span><span style=display:flex><span>tar zxvf apache-hugegraph-computer-incubating-<span style=color:#4e9a06>${</span><span style=color:#000>version</span><span style=color:#4e9a06>}</span>.tar.gz -C hugegraph-computer
 </span></span></code></pre></div><h4 id=22-clone-source-code-to-compile-and-package>2.2 Clone source code to compile and package</h4><p>克隆最新版本的 HugeGraph-Computer 源码包：</p><div class=highlight><pre tabindex=0 style=background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-bash data-lang=bash><span style=display:flex><span>$ git clone https://github.com/apache/hugegraph-computer.git
 </span></span></code></pre></div><p>编译生成tar包:</p><div class=highlight><pre tabindex=0 style=background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-bash data-lang=bash><span style=display:flex><span><span style=color:#204a87>cd</span> hugegraph-computer
 </span></span><span style=display:flex><span>mvn clean package -DskipTests
-</span></span></code></pre></div><h4 id=23-启动-master-节点>2.3 启动 master 节点</h4><blockquote><p>您可以使用 <code>-c</code> 参数指定配置文件, 更多computer 配置请看: <a href=/docs/config/config-computer#computer-config-options>Computer Config Options</a></p></blockquote><div class=highlight><pre tabindex=0 style=background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-bash data-lang=bash><span style=display:flex><span><span style=color:#204a87>cd</span> hugegraph-computer-<span style=color:#4e9a06>${</span><span style=color:#000>version</span><span style=color:#4e9a06>}</span>
+</span></span></code></pre></div><h4 id=23-启动-master-节点>2.3 启动 master 节点</h4><blockquote><p>您可以使用 <code>-c</code> 参数指定配置文件, 更多computer 配置请看: <a href=/docs/config/config-computer#computer-config-options>Computer Config Options</a></p></blockquote><div class=highlight><pre tabindex=0 style=background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-bash data-lang=bash><span style=display:flex><span><span style=color:#204a87>cd</span> hugegraph-computer
 </span></span><span style=display:flex><span>bin/start-computer.sh -d <span style=color:#204a87>local</span> -r master
-</span></span></code></pre></div><h4 id=24-启动-worker-节点>2.4 启动 worker 节点</h4><div class=highlight><pre tabindex=0 style=background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-fallback data-lang=fallback><span style=display:flex><span>bin/start-computer.sh -d local -r worker
+</span></span></code></pre></div><h4 id=24-启动-worker-节点>2.4 启动 worker 节点</h4><div class=highlight><pre tabindex=0 style=background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-bash data-lang=bash><span style=display:flex><span>bin/start-computer.sh -d <span style=color:#204a87>local</span> -r worker
 </span></span></code></pre></div><h4 id=25-查询算法结果>2.5 查询算法结果</h4><p>2.5.1 为 server 启用 <code>OLAP</code> 索引查询</p><p>如果没有启用OLAP索引，则需要启用, 更多参考: <a href=/docs/clients/restful-api/graphs/#634-modify-graphs-read-mode-this-operation-requires-administrator-privileges>modify-graphs-read-mode</a></p><div class=highlight><pre tabindex=0 style=background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-http data-lang=http><span style=display:flex><span><span style=color:#a40000>PUT http://localhost:8080/graphs/hugegraph/graph_read_mode
 </span></span></span><span style=display:flex><span><span style=color:#a40000>
 </span></span></span><span style=display:flex><span><span style=color:#a40000>&#34;ALL&#34;

cn/docs/index.xml

@@ -10700,8 +10700,8 @@ HugeGraph Toolchain 版本: toolchain-1.0.0</p>
 </ul>
 <h4 id="21-download-the-compiled-archive">2.1 Download the compiled archive</h4>
 <p>下载最新版本的 HugeGraph-Computer release 包：</p>
-<div class="highlight"><pre tabindex="0" style="background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-bash" data-lang="bash"><span style="display:flex;"><span>wget https://github.com/apache/hugegraph-computer/releases/download/v<span style="color:#4e9a06">${</span><span style="color:#000">version</span><span style="color:#4e9a06">}</span>/hugegraph-loader-<span style="color:#4e9a06">${</span><span style="color:#000">version</span><span style="color:#4e9a06">}</span>.tar.gz
-</span></span><span style="display:flex;"><span>tar zxvf hugegraph-computer-<span style="color:#4e9a06">${</span><span style="color:#000">version</span><span style="color:#4e9a06">}</span>.tar.gz
+<div class="highlight"><pre tabindex="0" style="background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-bash" data-lang="bash"><span style="display:flex;"><span>wget https://downloads.apache.org/incubator/hugegraph/<span style="color:#4e9a06">${</span><span style="color:#000">version</span><span style="color:#4e9a06">}</span>/apache-hugegraph-computer-incubating-<span style="color:#4e9a06">${</span><span style="color:#000">version</span><span style="color:#4e9a06">}</span>.tar.gz
+</span></span><span style="display:flex;"><span>tar zxvf apache-hugegraph-computer-incubating-<span style="color:#4e9a06">${</span><span style="color:#000">version</span><span style="color:#4e9a06">}</span>.tar.gz -C hugegraph-computer
 </span></span></code></pre></div><h4 id="22-clone-source-code-to-compile-and-package">2.2 Clone source code to compile and package</h4>
 <p>克隆最新版本的 HugeGraph-Computer 源码包：</p>
 <div class="highlight"><pre tabindex="0" style="background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-bash" data-lang="bash"><span style="display:flex;"><span>$ git clone https://github.com/apache/hugegraph-computer.git
@@ -10712,10 +10712,10 @@ HugeGraph Toolchain 版本: toolchain-1.0.0</p>
 <blockquote>
 <p>您可以使用 <code>-c</code> 参数指定配置文件, 更多computer 配置请看: <a href="/docs/config/config-computer#computer-config-options">Computer Config Options</a></p>
 </blockquote>
-<div class="highlight"><pre tabindex="0" style="background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-bash" data-lang="bash"><span style="display:flex;"><span><span style="color:#204a87">cd</span> hugegraph-computer-<span style="color:#4e9a06">${</span><span style="color:#000">version</span><span style="color:#4e9a06">}</span>
+<div class="highlight"><pre tabindex="0" style="background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-bash" data-lang="bash"><span style="display:flex;"><span><span style="color:#204a87">cd</span> hugegraph-computer
 </span></span><span style="display:flex;"><span>bin/start-computer.sh -d <span style="color:#204a87">local</span> -r master
 </span></span></code></pre></div><h4 id="24-启动-worker-节点">2.4 启动 worker 节点</h4>
-<div class="highlight"><pre tabindex="0" style="background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-fallback" data-lang="fallback"><span style="display:flex;"><span>bin/start-computer.sh -d local -r worker
+<div class="highlight"><pre tabindex="0" style="background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-bash" data-lang="bash"><span style="display:flex;"><span>bin/start-computer.sh -d <span style="color:#204a87">local</span> -r worker
 </span></span></code></pre></div><h4 id="25-查询算法结果">2.5 查询算法结果</h4>
 <p>2.5.1 为 server 启用 <code>OLAP</code> 索引查询</p>
 <p>如果没有启用OLAP索引，则需要启用, 更多参考: <a href="/docs/clients/restful-api/graphs/#634-modify-graphs-read-mode-this-operation-requires-administrator-privileges">modify-graphs-read-mode</a></p>