From 3c9c49be5fc7a07abca10f216f092f19fc3322af Mon Sep 17 00:00:00 2001 From: imbajin Date: Sun, 25 Jun 2023 13:07:38 +0000 Subject: [PATCH] doc: update the outdated computer download link (#278) 625437be42788e7b393d9cbc25c7f2ca077cb0f3 --- cn/docs/_print/index.html | 8 ++++---- cn/docs/index.xml | 8 ++++---- cn/docs/quickstart/_print/index.html | 8 ++++---- cn/docs/quickstart/hugegraph-computer/index.html | 16 ++++++++-------- cn/docs/quickstart/index.xml | 8 ++++---- cn/sitemap.xml | 2 +- docs/_print/index.html | 8 ++++---- docs/index.xml | 8 ++++---- docs/quickstart/_print/index.html | 8 ++++---- docs/quickstart/hugegraph-computer/index.html | 14 +++++++------- docs/quickstart/index.xml | 8 ++++---- en/sitemap.xml | 2 +- sitemap.xml | 2 +- 13 files changed, 50 insertions(+), 50 deletions(-) diff --git a/cn/docs/_print/index.html b/cn/docs/_print/index.html index 80e7d1cf7..16e655222 100644 --- a/cn/docs/_print/index.html +++ b/cn/docs/_print/index.html @@ -1343,14 +1343,14 @@ hugeClient.close(); } } -

4.4 运行Example

运行Example之前需要启动Server, 启动过程见HugeGraph-Server Quick Start

4.5 Example示例说明

示例说明见HugeGraph-Client基本API介绍

3.6 - HugeGraph-Computer Quick Start

1 HugeGraph-Computer 概述

HugeGraph-Computer 是分布式图处理系统 (OLAP). 它是 Pregel 的一个实现. 它可以运行在 Kubernetes 上。

特性

2 开始

2.1 在本地运行 PageRank 算法

要使用 HugeGraph-Computer 运行算法，您需要安装 64 位 Java 11 或更高版本。

还需要首先部署 HugeGraph-Server 和 Etcd.

有两种方式可以获取 HugeGraph-Computer：

2.1 Download the compiled archive

下载最新版本的 HugeGraph-Computer release 包：

wget https://github.com/apache/hugegraph-computer/releases/download/v${version}/hugegraph-loader-${version}.tar.gz
-tar zxvf hugegraph-computer-${version}.tar.gz
+

4.4 运行Example

运行Example之前需要启动Server, 启动过程见HugeGraph-Server Quick Start

4.5 Example示例说明

示例说明见HugeGraph-Client基本API介绍

3.6 - HugeGraph-Computer Quick Start

1 HugeGraph-Computer 概述

HugeGraph-Computer 是分布式图处理系统 (OLAP). 它是 Pregel 的一个实现. 它可以运行在 Kubernetes 上。

特性

2 开始

2.1 在本地运行 PageRank 算法

要使用 HugeGraph-Computer 运行算法，您需要安装 64 位 Java 11 或更高版本。

还需要首先部署 HugeGraph-Server 和 Etcd.

有两种方式可以获取 HugeGraph-Computer：

2.1 Download the compiled archive

下载最新版本的 HugeGraph-Computer release 包：

wget https://downloads.apache.org/incubator/hugegraph/${version}/apache-hugegraph-computer-incubating-${version}.tar.gz
+tar zxvf apache-hugegraph-computer-incubating-${version}.tar.gz -C hugegraph-computer

2.2 Clone source code to compile and package

克隆最新版本的 HugeGraph-Computer 源码包：

$ git clone https://github.com/apache/hugegraph-computer.git

编译生成tar包:

cd hugegraph-computer
 mvn clean package -DskipTests
-

2.3 启动 master 节点

您可以使用 -c 参数指定配置文件, 更多computer 配置请看: Computer Config Options

cd hugegraph-computer-${version}
+

2.3 启动 master 节点

您可以使用 -c 参数指定配置文件, 更多computer 配置请看: Computer Config Options

cd hugegraph-computer
 bin/start-computer.sh -d local -r master
-

2.4 启动 worker 节点

bin/start-computer.sh -d local -r worker
+

2.4 启动 worker 节点

bin/start-computer.sh -d local -r worker

2.5 查询算法结果

2.5.1 为 server 启用 OLAP 索引查询

如果没有启用OLAP索引，则需要启用, 更多参考: modify-graphs-read-mode

PUT http://localhost:8080/graphs/hugegraph/graph_read_mode
 
 "ALL"
diff --git a/cn/docs/index.xml b/cn/docs/index.xml
index 103cc9037..8f103674f 100644
--- a/cn/docs/index.xml
+++ b/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>
diff --git a/cn/docs/quickstart/_print/index.html b/cn/docs/quickstart/_print/index.html
index 803e9f2e6..7b905d397 100644
--- a/cn/docs/quickstart/_print/index.html
+++ b/cn/docs/quickstart/_print/index.html
@@ -1337,14 +1337,14 @@
         hugeClient.close();
     }
 }
-

4.4 运行Example

运行Example之前需要启动Server, 启动过程见HugeGraph-Server Quick Start

4.5 Example示例说明

示例说明见HugeGraph-Client基本API介绍

6 - HugeGraph-Computer Quick Start

1 HugeGraph-Computer 概述

HugeGraph-Computer 是分布式图处理系统 (OLAP). 它是 Pregel 的一个实现. 它可以运行在 Kubernetes 上。

特性

2 开始

2.1 在本地运行 PageRank 算法

要使用 HugeGraph-Computer 运行算法，您需要安装 64 位 Java 11 或更高版本。

还需要首先部署 HugeGraph-Server 和 Etcd.

有两种方式可以获取 HugeGraph-Computer：

2.1 Download the compiled archive

下载最新版本的 HugeGraph-Computer release 包：

wget https://github.com/apache/hugegraph-computer/releases/download/v${version}/hugegraph-loader-${version}.tar.gz
-tar zxvf hugegraph-computer-${version}.tar.gz
+

4.4 运行Example

运行Example之前需要启动Server, 启动过程见HugeGraph-Server Quick Start

4.5 Example示例说明

示例说明见HugeGraph-Client基本API介绍

6 - HugeGraph-Computer Quick Start

1 HugeGraph-Computer 概述

HugeGraph-Computer 是分布式图处理系统 (OLAP). 它是 Pregel 的一个实现. 它可以运行在 Kubernetes 上。

特性

2 开始

2.1 在本地运行 PageRank 算法

要使用 HugeGraph-Computer 运行算法，您需要安装 64 位 Java 11 或更高版本。

还需要首先部署 HugeGraph-Server 和 Etcd.

有两种方式可以获取 HugeGraph-Computer：

2.1 Download the compiled archive

下载最新版本的 HugeGraph-Computer release 包：

wget https://downloads.apache.org/incubator/hugegraph/${version}/apache-hugegraph-computer-incubating-${version}.tar.gz
+tar zxvf apache-hugegraph-computer-incubating-${version}.tar.gz -C hugegraph-computer

2.2 Clone source code to compile and package

克隆最新版本的 HugeGraph-Computer 源码包：

$ git clone https://github.com/apache/hugegraph-computer.git

编译生成tar包:

cd hugegraph-computer
 mvn clean package -DskipTests
-

2.3 启动 master 节点

您可以使用 -c 参数指定配置文件, 更多computer 配置请看: Computer Config Options

cd hugegraph-computer-${version}
+

2.3 启动 master 节点

您可以使用 -c 参数指定配置文件, 更多computer 配置请看: Computer Config Options

cd hugegraph-computer
 bin/start-computer.sh -d local -r master
-

2.4 启动 worker 节点

bin/start-computer.sh -d local -r worker
+

2.4 启动 worker 节点

bin/start-computer.sh -d local -r worker

2.5 查询算法结果

2.5.1 为 server 启用 OLAP 索引查询

如果没有启用OLAP索引，则需要启用, 更多参考: modify-graphs-read-mode

PUT http://localhost:8080/graphs/hugegraph/graph_read_mode
 
 "ALL"
diff --git a/cn/docs/quickstart/hugegraph-computer/index.html b/cn/docs/quickstart/hugegraph-computer/index.html
index 15fe1936f..359b51ddf 100644
--- a/cn/docs/quickstart/hugegraph-computer/index.html
+++ b/cn/docs/quickstart/hugegraph-computer/index.html
@@ -8,30 +8,30 @@
 还需要首先部署 HugeGraph-Server 和 Etcd.
 有两种方式可以获取 HugeGraph-Computer：
 下载已编译的压缩包 克隆源码编译打包 2.1 Download the compiled archive 下载最新版本的 HugeGraph-Computer release 包：
-wget https://github.com/apache/hugegraph-computer/releases/download/v${version}/hugegraph-loader-${version}.tar.gz tar zxvf hugegraph-computer-${version}.tar.gz 2.2 Clone source code to compile and package 克隆最新版本的 HugeGraph-Computer 源码包：">
+wget https://downloads.apache.org/incubator/hugegraph/${version}/apache-hugegraph-computer-incubating-${version}.tar.gz tar zxvf apache-hugegraph-computer-incubating-${version}.tar.gz -C hugegraph-computer 2.2 Clone source code to compile and package 克隆最新版本的 HugeGraph-Computer 源码包：">
 
HugeGraph-Computer Quick Start
1 HugeGraph-Computer 概述
HugeGraph-Computer 是分布式图处理系统 (OLAP). 它是 Pregel 的一个实现. 它可以运行在 Kubernetes 上。
特性
  • 支持分布式MPP图计算，集成HugeGraph作为图输入输出存储。
  • 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。
  • 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。
  • 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。
  • 您可以从 HDFS 或 HugeGraph 或任何其他系统加载数据。
  • 您可以将结果输出到 HDFS 或 HugeGraph，或任何其他系统。
  • 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。
2 开始
2.1 在本地运行 PageRank 算法
要使用 HugeGraph-Computer 运行算法，您需要安装 64 位 Java 11 或更高版本。
还需要首先部署 HugeGraph-Server 和 Etcd.
有两种方式可以获取 HugeGraph-Computer：
  • 下载已编译的压缩包
  • 克隆源码编译打包
2.1 Download the compiled archive
下载最新版本的 HugeGraph-Computer release 包：
wget https://github.com/apache/hugegraph-computer/releases/download/v${version}/hugegraph-loader-${version}.tar.gz
-tar zxvf hugegraph-computer-${version}.tar.gz
+ Print entire section
HugeGraph-Computer Quick Start
1 HugeGraph-Computer 概述
HugeGraph-Computer 是分布式图处理系统 (OLAP). 它是 Pregel 的一个实现. 它可以运行在 Kubernetes 上。
特性
  • 支持分布式MPP图计算，集成HugeGraph作为图输入输出存储。
  • 算法基于BSP(Bulk Synchronous Parallel)模型，通过多次并行迭代进行计算，每一次迭代都是一次超步。
  • 自动内存管理。该框架永远不会出现 OOM（内存不足），因为如果它没有足够的内存来容纳所有数据，它会将一些数据拆分到磁盘。
  • 边的部分或超级节点的消息可以在内存中，所以你永远不会丢失它。
  • 您可以从 HDFS 或 HugeGraph 或任何其他系统加载数据。
  • 您可以将结果输出到 HDFS 或 HugeGraph，或任何其他系统。
  • 易于开发新算法。您只需要像在单个服务器中一样专注于仅顶点处理，而不必担心消息传输和内存存储管理。
2 开始
2.1 在本地运行 PageRank 算法
要使用 HugeGraph-Computer 运行算法，您需要安装 64 位 Java 11 或更高版本。
还需要首先部署 HugeGraph-Server 和 Etcd.
有两种方式可以获取 HugeGraph-Computer：
  • 下载已编译的压缩包
  • 克隆源码编译打包
2.1 Download the compiled archive
下载最新版本的 HugeGraph-Computer release 包：
wget https://downloads.apache.org/incubator/hugegraph/${version}/apache-hugegraph-computer-incubating-${version}.tar.gz
+tar zxvf apache-hugegraph-computer-incubating-${version}.tar.gz -C hugegraph-computer
 
2.2 Clone source code to compile and package
克隆最新版本的 HugeGraph-Computer 源码包：
$ git clone https://github.com/apache/hugegraph-computer.git
 
编译生成tar包:
cd hugegraph-computer
 mvn clean package -DskipTests
-
2.3 启动 master 节点
您可以使用 -c 参数指定配置文件, 更多computer 配置请看: Computer Config Options
cd hugegraph-computer-${version}
+
2.3 启动 master 节点
您可以使用 -c 参数指定配置文件, 更多computer 配置请看: Computer Config Options
cd hugegraph-computer
 bin/start-computer.sh -d local -r master
-
2.4 启动 worker 节点
bin/start-computer.sh -d local -r worker
+
2.4 启动 worker 节点
bin/start-computer.sh -d local -r worker
 
2.5 查询算法结果
2.5.1 为 server 启用 OLAP 索引查询
如果没有启用OLAP索引，则需要启用, 更多参考: modify-graphs-read-mode
PUT http://localhost:8080/graphs/hugegraph/graph_read_mode
 
 "ALL"
@@ -86,7 +86,7 @@
 # 注意: 诊断日志仅在作业失败时存在，并且只会保存一小时。
 kubectl get event --field-selector reason=ComputerJobFailed --field-selector involvedObject.name=pagerank-sample -n hugegraph-computer-system
 
2.2.8 显示作业的成功事件
NOTE: it will only be saved for one hour
kubectl get event --field-selector reason=ComputerJobSucceed --field-selector involvedObject.name=pagerank-sample -n hugegraph-computer-system
-
2.2.9 查询算法结果
如果输出到 Hugegraph-Server 则与 Locally 模式一致，如果输出到 HDFS ，请检查 hugegraph-computerresults{jobId}目录下的结果文件。
3 内置算法文档
3.1 支持的算法列表:
中心性算法:
  • PageRank
  • BetweennessCentrality
  • ClosenessCentrality
  • DegreeCentrality
社区算法:
  • ClusteringCoefficient
  • Kcore
  • Lpa
  • TriangleCount
  • Wcc
路径算法:
  • RingsDetection
  • RingsDetectionWithFilter
更多算法请看: Built-In algorithms
3.2 算法描述
TODO
4 算法开发指南
TODO
5 注意事项
  • 如果computer-k8s模块下面的某些类不存在，你需要运行mvn compile来提前生成对应的类。

Last modified June 8, 2023: doc: add building note for missing classes (#266) (4eb492cb)

+

2.2.9 查询算法结果

如果输出到 Hugegraph-Server 则与 Locally 模式一致，如果输出到 HDFS ，请检查 hugegraph-computerresults{jobId}目录下的结果文件。

3 内置算法文档

3.1 支持的算法列表:

中心性算法:
社区算法:
路径算法:

更多算法请看: Built-In algorithms

3.2 算法描述

TODO

4 算法开发指南

TODO

5 注意事项


Last modified June 25, 2023: doc: update the outdated computer download link (#278) (625437be)
diff --git a/cn/docs/quickstart/index.xml b/cn/docs/quickstart/index.xml index e12586804..c5406bba5 100644 --- a/cn/docs/quickstart/index.xml +++ b/cn/docs/quickstart/index.xml @@ -2671,8 +2671,8 @@ 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 @@ -2683,10 +2683,10 @@ 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> diff --git a/cn/sitemap.xml b/cn/sitemap.xml index 09884c931..ec09332df 100644 --- a/cn/sitemap.xml +++ b/cn/sitemap.xml @@ -1 +1 @@ -/cn/docs/guides/architectural/2023-06-25T21:06:07+08:00/cn/docs/config/config-guide/2023-06-21T14:48:04+08:00/cn/docs/language/hugegraph-gremlin/2023-01-01T16:16:43+08:00/cn/docs/performance/hugegraph-benchmark-0.5.6/2022-09-15T15:16:23+08:00/cn/docs/quickstart/hugegraph-server/2023-06-25T21:06:07+08:00/cn/docs/introduction/readme/2023-06-18T14:57:33+08:00/cn/docs/changelog/hugegraph-1.0.0-release-notes/2023-01-09T07:41:46+08:00/cn/docs/clients/restful-api/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/schema/2023-05-14T19:35:13+08:00/cn/docs/performance/api-preformance/hugegraph-api-0.5.6-rocksdb/2023-01-01T16:16:43+08:00/cn/docs/contribution-guidelines/contribute/2023-01-04T22:59:07+08:00/cn/docs/config/config-option/2023-02-08T20:56:09+08:00/cn/docs/guides/desgin-concept/2022-04-17T11:36:55+08:00/cn/docs/download/download/2023-06-17T14:43:04+08:00/cn/docs/language/hugegraph-example/2023-02-02T01:21:10+08:00/cn/docs/clients/hugegraph-client/2022-09-15T15:16:23+08:00/cn/docs/performance/api-preformance/2023-06-17T14:43:04+08:00/cn/docs/quickstart/hugegraph-loader/2023-05-17T23:12:35+08:00/cn/docs/clients/restful-api/propertykey/2023-05-19T05:15:56-05:00/cn/docs/changelog/hugegraph-0.11.2-release-notes/2022-04-17T11:36:55+08:00/cn/docs/changelog/hugegraph-0.12.0-release-notes/2023-01-01T16:16:43+08:00/cn/docs/performance/api-preformance/hugegraph-api-0.5.6-cassandra/2023-01-01T16:16:43+08:00/cn/docs/contribution-guidelines/subscribe/2023-06-17T14:43:04+08:00/cn/docs/config/config-authentication/2022-04-17T11:36:55+08:00/cn/docs/clients/gremlin-console/2023-06-12T23:52:07+08:00/cn/docs/guides/custom-plugin/2022-09-15T15:16:23+08:00/cn/docs/performance/hugegraph-loader-performance/2022-04-17T11:36:55+08:00/cn/docs/quickstart/hugegraph-tools/2023-05-09T21:27:34+08:00/cn/docs/quickstart/2022-04-17T11:36:55+08:00/cn/docs/changelog/hugegraph-0.10.4-release-notes/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/vertexlabel/2022-04-17T11:36:55+08:00/cn/docs/contribution-guidelines/validate-release/2023-02-15T16:14:21+08:00/cn/docs/guides/backup-restore/2022-04-17T11:36:55+08:00/cn/docs/config/2022-04-17T11:36:55+08:00/cn/docs/config/config-https/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/edgelabel/2022-04-17T11:36:55+08:00/cn/docs/changelog/hugegraph-0.9.2-release-notes/2022-04-17T11:36:55+08:00/cn/docs/quickstart/hugegraph-hubble/2023-01-01T16:16:43+08:00/cn/docs/contribution-guidelines/hugegraph-server-idea-setup/2023-06-25T21:06:07+08:00/cn/docs/clients/2022-04-17T11:36:55+08:00/cn/docs/config/config-computer/2023-01-01T16:16:43+08:00/cn/docs/guides/faq/2023-01-04T22:59:07+08:00/cn/docs/clients/restful-api/indexlabel/2022-04-17T11:36:55+08:00/cn/docs/changelog/hugegraph-0.8.0-release-notes/2022-04-17T11:36:55+08:00/cn/docs/quickstart/hugegraph-client/2023-05-18T11:09:55+08:00/cn/docs/guides/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/rebuild/2022-04-17T11:36:55+08:00/cn/docs/changelog/hugegraph-0.7.4-release-notes/2022-04-17T11:36:55+08:00/cn/docs/quickstart/hugegraph-computer/2023-06-08T01:07:55+08:00/cn/docs/language/2022-04-17T11:36:55+08:00/cn/docs/changelog/hugegraph-0.6.1-release-notes/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/vertex/2023-06-04T23:04:47+08:00/cn/docs/clients/restful-api/edge/2022-09-15T15:16:23+08:00/cn/docs/performance/2022-04-17T11:36:55+08:00/cn/docs/changelog/hugegraph-0.5.6-release-notes/2022-04-17T11:36:55+08:00/cn/docs/changelog/2022-04-17T11:36:55+08:00/cn/docs/contribution-guidelines/2022-12-30T19:57:48+08:00/cn/docs/changelog/hugegraph-0.4.4-release-notes/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/traverser/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/rank/2022-04-17T11:36:55+08:00/cn/docs/changelog/hugegraph-0.3.3-release-notes/2022-04-17T11:36:55+08:00/cn/docs/changelog/hugegraph-0.2-release-notes/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/variable/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/graphs/2022-05-27T09:27:37+08:00/cn/docs/changelog/hugegraph-0.2.4-release-notes/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/task/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/gremlin/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/auth/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/other/2022-04-17T11:36:55+08:00/cn/docs/2022-12-30T19:57:48+08:00/cn/blog/news/2022-04-17T11:36:55+08:00/cn/blog/releases/2022-04-17T11:36:55+08:00/cn/blog/2018/10/06/easy-documentation-with-docsy/2022-04-17T11:36:55+08:00/cn/blog/2018/10/06/the-second-blog-post/2022-04-17T11:36:55+08:00/cn/blog/2018/01/04/another-great-release/2022-04-17T11:36:55+08:00/cn/docs/cla/2022-04-17T11:36:55+08:00/cn/docs/performance/hugegraph-benchmark-0.4.4/2022-09-15T15:16:23+08:00/cn/docs/summary/2022-11-27T21:05:55+08:00/cn/blog/2022-04-17T11:36:55+08:00/cn/categories//cn/community/2022-04-17T11:36:55+08:00/cn/2023-01-04T22:59:07+08:00/cn/search/2022-04-17T11:36:55+08:00/cn/tags/ 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+/cn/docs/guides/architectural/2023-06-25T21:06:07+08:00/cn/docs/config/config-guide/2023-06-21T14:48:04+08:00/cn/docs/language/hugegraph-gremlin/2023-01-01T16:16:43+08:00/cn/docs/performance/hugegraph-benchmark-0.5.6/2022-09-15T15:16:23+08:00/cn/docs/quickstart/hugegraph-server/2023-06-25T21:06:07+08:00/cn/docs/introduction/readme/2023-06-18T14:57:33+08:00/cn/docs/changelog/hugegraph-1.0.0-release-notes/2023-01-09T07:41:46+08:00/cn/docs/clients/restful-api/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/schema/2023-05-14T19:35:13+08:00/cn/docs/performance/api-preformance/hugegraph-api-0.5.6-rocksdb/2023-01-01T16:16:43+08:00/cn/docs/contribution-guidelines/contribute/2023-01-04T22:59:07+08:00/cn/docs/config/config-option/2023-02-08T20:56:09+08:00/cn/docs/guides/desgin-concept/2022-04-17T11:36:55+08:00/cn/docs/download/download/2023-06-17T14:43:04+08:00/cn/docs/language/hugegraph-example/2023-02-02T01:21:10+08:00/cn/docs/clients/hugegraph-client/2022-09-15T15:16:23+08:00/cn/docs/performance/api-preformance/2023-06-17T14:43:04+08:00/cn/docs/quickstart/hugegraph-loader/2023-05-17T23:12:35+08:00/cn/docs/clients/restful-api/propertykey/2023-05-19T05:15:56-05:00/cn/docs/changelog/hugegraph-0.11.2-release-notes/2022-04-17T11:36:55+08:00/cn/docs/changelog/hugegraph-0.12.0-release-notes/2023-01-01T16:16:43+08:00/cn/docs/performance/api-preformance/hugegraph-api-0.5.6-cassandra/2023-01-01T16:16:43+08:00/cn/docs/contribution-guidelines/subscribe/2023-06-17T14:43:04+08:00/cn/docs/config/config-authentication/2022-04-17T11:36:55+08:00/cn/docs/clients/gremlin-console/2023-06-12T23:52:07+08:00/cn/docs/guides/custom-plugin/2022-09-15T15:16:23+08:00/cn/docs/performance/hugegraph-loader-performance/2022-04-17T11:36:55+08:00/cn/docs/quickstart/hugegraph-tools/2023-05-09T21:27:34+08:00/cn/docs/quickstart/2022-04-17T11:36:55+08:00/cn/docs/changelog/hugegraph-0.10.4-release-notes/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/vertexlabel/2022-04-17T11:36:55+08:00/cn/docs/contribution-guidelines/validate-release/2023-02-15T16:14:21+08:00/cn/docs/guides/backup-restore/2022-04-17T11:36:55+08:00/cn/docs/config/2022-04-17T11:36:55+08:00/cn/docs/config/config-https/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/edgelabel/2022-04-17T11:36:55+08:00/cn/docs/changelog/hugegraph-0.9.2-release-notes/2022-04-17T11:36:55+08:00/cn/docs/quickstart/hugegraph-hubble/2023-01-01T16:16:43+08:00/cn/docs/contribution-guidelines/hugegraph-server-idea-setup/2023-06-25T21:06:07+08:00/cn/docs/clients/2022-04-17T11:36:55+08:00/cn/docs/config/config-computer/2023-01-01T16:16:43+08:00/cn/docs/guides/faq/2023-01-04T22:59:07+08:00/cn/docs/clients/restful-api/indexlabel/2022-04-17T11:36:55+08:00/cn/docs/changelog/hugegraph-0.8.0-release-notes/2022-04-17T11:36:55+08:00/cn/docs/quickstart/hugegraph-client/2023-05-18T11:09:55+08:00/cn/docs/guides/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/rebuild/2022-04-17T11:36:55+08:00/cn/docs/changelog/hugegraph-0.7.4-release-notes/2022-04-17T11:36:55+08:00/cn/docs/quickstart/hugegraph-computer/2023-06-25T21:06:46+08:00/cn/docs/language/2022-04-17T11:36:55+08:00/cn/docs/changelog/hugegraph-0.6.1-release-notes/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/vertex/2023-06-04T23:04:47+08:00/cn/docs/clients/restful-api/edge/2022-09-15T15:16:23+08:00/cn/docs/performance/2022-04-17T11:36:55+08:00/cn/docs/changelog/hugegraph-0.5.6-release-notes/2022-04-17T11:36:55+08:00/cn/docs/changelog/2022-04-17T11:36:55+08:00/cn/docs/contribution-guidelines/2022-12-30T19:57:48+08:00/cn/docs/changelog/hugegraph-0.4.4-release-notes/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/traverser/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/rank/2022-04-17T11:36:55+08:00/cn/docs/changelog/hugegraph-0.3.3-release-notes/2022-04-17T11:36:55+08:00/cn/docs/changelog/hugegraph-0.2-release-notes/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/variable/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/graphs/2022-05-27T09:27:37+08:00/cn/docs/changelog/hugegraph-0.2.4-release-notes/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/task/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/gremlin/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/auth/2022-04-17T11:36:55+08:00/cn/docs/clients/restful-api/other/2022-04-17T11:36:55+08:00/cn/docs/2022-12-30T19:57:48+08:00/cn/blog/news/2022-04-17T11:36:55+08:00/cn/blog/releases/2022-04-17T11:36:55+08:00/cn/blog/2018/10/06/easy-documentation-with-docsy/2022-04-17T11:36:55+08:00/cn/blog/2018/10/06/the-second-blog-post/2022-04-17T11:36:55+08:00/cn/blog/2018/01/04/another-great-release/2022-04-17T11:36:55+08:00/cn/docs/cla/2022-04-17T11:36:55+08:00/cn/docs/performance/hugegraph-benchmark-0.4.4/2022-09-15T15:16:23+08:00/cn/docs/summary/2022-11-27T21:05:55+08:00/cn/blog/2022-04-17T11:36:55+08:00/cn/categories//cn/community/2022-04-17T11:36:55+08:00/cn/2023-01-04T22:59:07+08:00/cn/search/2022-04-17T11:36:55+08:00/cn/tags/ \ No newline at end of file diff --git a/docs/_print/index.html b/docs/_print/index.html index d2aea734e..bfd35d1bd 100644 --- a/docs/_print/index.html +++ b/docs/_print/index.html @@ -1352,14 +1352,14 @@ hugeClient.close(); } } -

4.4 Run The Example

Before running Example, you need to start the Server. For the startup process, seeHugeGraph-Server Quick Start.

4.5 More Information About Example

SeeIntroduce basic API of HugeGraph-Client.

3.6 - HugeGraph-Computer Quick Start

1 HugeGraph-Computer Overview

The HugeGraph-Computer is a distributed graph processing system for HugeGraph (OLAP). It is an implementation of Pregel. It runs on Kubernetes framework.

Features

2 Get Started

2.1 Run PageRank algorithm locally

To run algorithm with HugeGraph-Computer, you need to install 64-bit Java 11 or later versions.

You also need to deploy HugeGraph-Server and Etcd.

There are two ways to get HugeGraph-Computer:

2.1 Download the compiled archive

Download the latest version of the HugeGraph-Computer release package:

wget https://github.com/apache/hugegraph-computer/releases/download/v${version}/hugegraph-loader-${version}.tar.gz
-tar zxvf hugegraph-computer-${version}.tar.gz
+

4.4 Run The Example

Before running Example, you need to start the Server. For the startup process, seeHugeGraph-Server Quick Start.

4.5 More Information About Example

SeeIntroduce basic API of HugeGraph-Client.

3.6 - HugeGraph-Computer Quick Start

1 HugeGraph-Computer Overview

The HugeGraph-Computer is a distributed graph processing system for HugeGraph (OLAP). It is an implementation of Pregel. It runs on Kubernetes framework.

Features

2 Get Started

2.1 Run PageRank algorithm locally

To run algorithm with HugeGraph-Computer, you need to install 64-bit Java 11 or later versions.

You also need to deploy HugeGraph-Server and Etcd.

There are two ways to get HugeGraph-Computer:

2.1 Download the compiled archive

Download the latest version of the HugeGraph-Computer release package:

wget https://downloads.apache.org/incubator/hugegraph/${version}/apache-hugegraph-computer-incubating-${version}.tar.gz
+tar zxvf apache-hugegraph-computer-incubating-${version}.tar.gz -C hugegraph-computer

2.2 Clone source code to compile and package

Clone the latest version of HugeGraph-Computer source package:

$ git clone https://github.com/apache/hugegraph-computer.git

Compile and generate tar package:

cd hugegraph-computer
 mvn clean package -DskipTests
-

2.3 Start master node

You can use -c parameter specify the configuration file, more computer config please see:Computer Config Options

cd hugegraph-computer-${version}
+

2.3 Start master node

You can use -c parameter specify the configuration file, more computer config please see:Computer Config Options

cd hugegraph-computer
 bin/start-computer.sh -d local -r master
-

2.4 Start worker node

bin/start-computer.sh -d local -r worker
+

2.4 Start worker node

bin/start-computer.sh -d local -r worker

2.5 Query algorithm results

2.5.1 Enable OLAP index query for server

If OLAP index is not enabled, it needs to enable, more reference: modify-graphs-read-mode

PUT http://localhost:8080/graphs/hugegraph/graph_read_mode
 
 "ALL"
diff --git a/docs/index.xml b/docs/index.xml
index 0a2c7b7c1..064af07d0 100644
--- a/docs/index.xml
+++ b/docs/index.xml
@@ -10113,8 +10113,8 @@ Merging mode as needed, and when the Restore is completed, restore the graph mod
 </ul>
 <h4 id="21-download-the-compiled-archive">2.1 Download the compiled archive</h4>
 <p>Download the latest version of the HugeGraph-Computer release package:</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>Clone the latest version of HugeGraph-Computer source package:</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
@@ -10125,10 +10125,10 @@ Merging mode as needed, and when the Restore is completed, restore the graph mod
 <blockquote>
 <p>You can use <code>-c</code> parameter specify the configuration file, more computer config please see:<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-start-worker-node">2.4 Start worker node</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-query-algorithm-results">2.5 Query algorithm results</h4>
 <p>2.5.1 Enable <code>OLAP</code> index query for server</p>
 <p>If OLAP index is not enabled, it needs to enable, more reference: <a href="/docs/clients/restful-api/graphs/#634-modify-graphs-read-mode-this-operation-requires-administrator-privileges">modify-graphs-read-mode</a></p>
diff --git a/docs/quickstart/_print/index.html b/docs/quickstart/_print/index.html
index 5121534af..fdd6c3b48 100644
--- a/docs/quickstart/_print/index.html
+++ b/docs/quickstart/_print/index.html
@@ -1347,14 +1347,14 @@
         hugeClient.close();
     }
 }
-

4.4 Run The Example

Before running Example, you need to start the Server. For the startup process, seeHugeGraph-Server Quick Start.

4.5 More Information About Example

SeeIntroduce basic API of HugeGraph-Client.

6 - HugeGraph-Computer Quick Start

1 HugeGraph-Computer Overview

The HugeGraph-Computer is a distributed graph processing system for HugeGraph (OLAP). It is an implementation of Pregel. It runs on Kubernetes framework.

Features

2 Get Started

2.1 Run PageRank algorithm locally

To run algorithm with HugeGraph-Computer, you need to install 64-bit Java 11 or later versions.

You also need to deploy HugeGraph-Server and Etcd.

There are two ways to get HugeGraph-Computer:

2.1 Download the compiled archive

Download the latest version of the HugeGraph-Computer release package:

wget https://github.com/apache/hugegraph-computer/releases/download/v${version}/hugegraph-loader-${version}.tar.gz
-tar zxvf hugegraph-computer-${version}.tar.gz
+

4.4 Run The Example

Before running Example, you need to start the Server. For the startup process, seeHugeGraph-Server Quick Start.

4.5 More Information About Example

SeeIntroduce basic API of HugeGraph-Client.

6 - HugeGraph-Computer Quick Start

1 HugeGraph-Computer Overview

The HugeGraph-Computer is a distributed graph processing system for HugeGraph (OLAP). It is an implementation of Pregel. It runs on Kubernetes framework.

Features

2 Get Started

2.1 Run PageRank algorithm locally

To run algorithm with HugeGraph-Computer, you need to install 64-bit Java 11 or later versions.

You also need to deploy HugeGraph-Server and Etcd.

There are two ways to get HugeGraph-Computer:

2.1 Download the compiled archive

Download the latest version of the HugeGraph-Computer release package:

wget https://downloads.apache.org/incubator/hugegraph/${version}/apache-hugegraph-computer-incubating-${version}.tar.gz
+tar zxvf apache-hugegraph-computer-incubating-${version}.tar.gz -C hugegraph-computer

2.2 Clone source code to compile and package

Clone the latest version of HugeGraph-Computer source package:

$ git clone https://github.com/apache/hugegraph-computer.git

Compile and generate tar package:

cd hugegraph-computer
 mvn clean package -DskipTests
-

2.3 Start master node

You can use -c parameter specify the configuration file, more computer config please see:Computer Config Options

cd hugegraph-computer-${version}
+

2.3 Start master node

You can use -c parameter specify the configuration file, more computer config please see:Computer Config Options

cd hugegraph-computer
 bin/start-computer.sh -d local -r master
-

2.4 Start worker node

bin/start-computer.sh -d local -r worker
+

2.4 Start worker node

bin/start-computer.sh -d local -r worker

2.5 Query algorithm results

2.5.1 Enable OLAP index query for server

If OLAP index is not enabled, it needs to enable, more reference: modify-graphs-read-mode

PUT http://localhost:8080/graphs/hugegraph/graph_read_mode
 
 "ALL"
diff --git a/docs/quickstart/hugegraph-computer/index.html b/docs/quickstart/hugegraph-computer/index.html
index b8e4643c0..d64696eff 100644
--- a/docs/quickstart/hugegraph-computer/index.html
+++ b/docs/quickstart/hugegraph-computer/index.html
@@ -1,21 +1,21 @@
 HugeGraph-Computer Quick Start | HugeGraph
 
HugeGraph-Computer Quick Start
1 HugeGraph-Computer Overview
The HugeGraph-Computer is a distributed graph processing system for HugeGraph (OLAP). It is an implementation of Pregel. It runs on Kubernetes framework.
Features
  • Support distributed MPP graph computing, and integrates with HugeGraph as graph input/output storage.
  • Based on BSP(Bulk Synchronous Parallel) model, an algorithm performs computing through multiple parallel iterations, every iteration is a superstep.
  • Auto memory management. The framework will never be OOM(Out of Memory) since it will split some data to disk if it doesn’t have enough memory to hold all the data.
  • The part of edges or the messages of super node can be in memory, so you will never lose it.
  • You can load the data from HDFS or HugeGraph, or any other system.
  • You can output the results to HDFS or HugeGraph, or any other system.
  • Easy to develop a new algorithm. You just need to focus on a vertex only processing just like as in a single server, without worrying about message transfer and memory/storage management.
2 Get Started
2.1 Run PageRank algorithm locally
To run algorithm with HugeGraph-Computer, you need to install 64-bit Java 11 or later versions.
You also need to deploy HugeGraph-Server and Etcd.
There are two ways to get HugeGraph-Computer:
  • Download the compiled tarball
  • Clone source code then compile and package
2.1 Download the compiled archive
Download the latest version of the HugeGraph-Computer release package:
wget https://github.com/apache/hugegraph-computer/releases/download/v${version}/hugegraph-loader-${version}.tar.gz
-tar zxvf hugegraph-computer-${version}.tar.gz
+ Print entire section
HugeGraph-Computer Quick Start
1 HugeGraph-Computer Overview
The HugeGraph-Computer is a distributed graph processing system for HugeGraph (OLAP). It is an implementation of Pregel. It runs on Kubernetes framework.
Features
  • Support distributed MPP graph computing, and integrates with HugeGraph as graph input/output storage.
  • Based on BSP(Bulk Synchronous Parallel) model, an algorithm performs computing through multiple parallel iterations, every iteration is a superstep.
  • Auto memory management. The framework will never be OOM(Out of Memory) since it will split some data to disk if it doesn’t have enough memory to hold all the data.
  • The part of edges or the messages of super node can be in memory, so you will never lose it.
  • You can load the data from HDFS or HugeGraph, or any other system.
  • You can output the results to HDFS or HugeGraph, or any other system.
  • Easy to develop a new algorithm. You just need to focus on a vertex only processing just like as in a single server, without worrying about message transfer and memory/storage management.
2 Get Started
2.1 Run PageRank algorithm locally
To run algorithm with HugeGraph-Computer, you need to install 64-bit Java 11 or later versions.
You also need to deploy HugeGraph-Server and Etcd.
There are two ways to get HugeGraph-Computer:
  • Download the compiled tarball
  • Clone source code then compile and package
2.1 Download the compiled archive
Download the latest version of the HugeGraph-Computer release package:
wget https://downloads.apache.org/incubator/hugegraph/${version}/apache-hugegraph-computer-incubating-${version}.tar.gz
+tar zxvf apache-hugegraph-computer-incubating-${version}.tar.gz -C hugegraph-computer
 
2.2 Clone source code to compile and package
Clone the latest version of HugeGraph-Computer source package:
$ git clone https://github.com/apache/hugegraph-computer.git
 
Compile and generate tar package:
cd hugegraph-computer
 mvn clean package -DskipTests
-
2.3 Start master node
You can use -c parameter specify the configuration file, more computer config please see:Computer Config Options
cd hugegraph-computer-${version}
+
2.3 Start master node
You can use -c parameter specify the configuration file, more computer config please see:Computer Config Options
cd hugegraph-computer
 bin/start-computer.sh -d local -r master
-
2.4 Start worker node
bin/start-computer.sh -d local -r worker
+
2.4 Start worker node
bin/start-computer.sh -d local -r worker
 
2.5 Query algorithm results
2.5.1 Enable OLAP index query for server
If OLAP index is not enabled, it needs to enable, more reference: modify-graphs-read-mode
PUT http://localhost:8080/graphs/hugegraph/graph_read_mode
 
 "ALL"
@@ -70,7 +70,7 @@
 # NOTE: diagnostic log exist only when the job fails, and it will only be saved for one hour.
 kubectl get event --field-selector reason=ComputerJobFailed --field-selector involvedObject.name=pagerank-sample -n hugegraph-computer-system
 
2.2.8 Show success event of a job
NOTE: it will only be saved for one hour
kubectl get event --field-selector reason=ComputerJobSucceed --field-selector involvedObject.name=pagerank-sample -n hugegraph-computer-system
-
2.2.9 Query algorithm results
If the output to Hugegraph-Server is consistent with Locally, if output to HDFS, please check the result file in the directory of /hugegraph-computer/results/{jobId} directory.
3 Built-In algorithms document
3.1 Supported algorithms list:
Centrality Algorithm:
  • PageRank
  • BetweennessCentrality
  • ClosenessCentrality
  • DegreeCentrality
Community Algorithm:
  • ClusteringCoefficient
  • Kcore
  • Lpa
  • TriangleCount
  • Wcc
Path Algorithm:
  • RingsDetection
  • RingsDetectionWithFilter
More algorithms please see: Built-In algorithms
3.2 Algorithm describe
TODO
4 Algorithm development guide
TODO
5 Note
  • If some classes under computer-k8s cannot be found, you need to execute mvn compile in advance to generate corresponding classes.

Last modified June 8, 2023: doc: add building note for missing classes (#266) (4eb492cb)

+

2.2.9 Query algorithm results

If the output to Hugegraph-Server is consistent with Locally, if output to HDFS, please check the result file in the directory of /hugegraph-computer/results/{jobId} directory.

3 Built-In algorithms document

3.1 Supported algorithms list:

Centrality Algorithm:
Community Algorithm:
Path Algorithm:

More algorithms please see: Built-In algorithms

3.2 Algorithm describe

TODO

4 Algorithm development guide

TODO

5 Note


Last modified June 25, 2023: doc: update the outdated computer download link (#278) (625437be)
diff --git a/docs/quickstart/index.xml b/docs/quickstart/index.xml index 08d759729..c6404b00a 100644 --- a/docs/quickstart/index.xml +++ b/docs/quickstart/index.xml @@ -2702,8 +2702,8 @@ Implement a class inherited from <code>Formatter</code> in the directory, </ul> <h4 id="21-download-the-compiled-archive">2.1 Download the compiled archive</h4> <p>Download the latest version of the HugeGraph-Computer release package:</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>Clone the latest version of HugeGraph-Computer source package:</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 @@ -2714,10 +2714,10 @@ Implement a class inherited from <code>Formatter</code> in the directory, <blockquote> <p>You can use <code>-c</code> parameter specify the configuration file, more computer config please see:<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-start-worker-node">2.4 Start worker node</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-query-algorithm-results">2.5 Query algorithm results</h4> <p>2.5.1 Enable <code>OLAP</code> index query for server</p> <p>If OLAP index is not enabled, it needs to enable, more reference: <a href="/docs/clients/restful-api/graphs/#634-modify-graphs-read-mode-this-operation-requires-administrator-privileges">modify-graphs-read-mode</a></p> diff --git a/en/sitemap.xml b/en/sitemap.xml index 178dc6ae0..eec84decb 100644 --- a/en/sitemap.xml +++ b/en/sitemap.xml @@ -1 +1 @@ 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