diff --git a/content/cn/docs/config/config-computer.md b/content/cn/docs/config/config-computer.md index 360611d55..07779bfde 100644 --- a/content/cn/docs/config/config-computer.md +++ b/content/cn/docs/config/config-computer.md @@ -140,7 +140,7 @@ weight: 5 | workerCpu | | The cpu limit of worker, the unit can be 'm' or without unit detail please refer to：[https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#meaning-of-cpu](https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#meaning-of-cpu) | false | | masterMemory | | The memory limit of master, the unit can be one of Ei、Pi、Ti、Gi、Mi、Ki detail please refer to：[https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#meaning-of-memory](https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#meaning-of-memory) | false | | workerMemory | | The memory limit of worker, the unit can be one of Ei、Pi、Ti、Gi、Mi、Ki detail please refer to：[https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#meaning-of-memory](https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#meaning-of-memory) | false | -| log4jXml | | The log4j.xml path for computer job. | false | +| log4jXml | | The content of log4j.xml for computer job. | false | | jarFile | | The jar path of computer algorithm. | false | | remoteJarUri | | The remote jar uri of computer algorithm, it will overlay algorithm image. | false | | jvmOptions | | The java startup parameters of computer job. | false | diff --git a/content/cn/docs/quickstart/hugegraph-computer.md b/content/cn/docs/quickstart/hugegraph-computer.md index c28f080e4..d3f4597f3 100644 --- a/content/cn/docs/quickstart/hugegraph-computer.md +++ b/content/cn/docs/quickstart/hugegraph-computer.md @@ -6,7 +6,7 @@ weight: 7 ## 1 HugeGraph-Computer 概述 -`HugeGraph-Computer` 是分布式图处理系统 (OLAP). 它是 [Pregel](https://kowshik.github.io/JPregel/pregel_paper.pdf) 的一个实现. 它可以运行在 Kubernetes 上。 +[`HugeGraph-Computer`](https://github.com/apache/incubator-hugegraph-computer) 是分布式图处理系统 (OLAP). 它是 [Pregel](https://kowshik.github.io/JPregel/pregel_paper.pdf) 的一个实现. 它可以运行在 Kubernetes 上。 ### 特性 @@ -26,13 +26,13 @@ weight: 7 > > 还需要首先部署 HugeGraph-Server 和 [Etcd](https://etcd.io/docs/v3.5/quickstart/). -#### 2.1 Download the compiled archive - 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： ```bash @@ -192,9 +192,9 @@ kubectl get event --field-selector reason=ComputerJobSucceed --field-selector in 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 内置算法文档 -#### 3.1 支持的算法列表: +### 3.1 支持的算法列表: ###### 中心性算法: @@ -218,10 +218,10 @@ kubectl get event --field-selector reason=ComputerJobSucceed --field-selector in 更多算法请看: [Built-In algorithms](https://github.com/apache/hugegraph-computer/tree/master/computer-algorithm/src/main/java/org/apache/hugegraph/computer/algorithm) -#### 3.2 算法描述 +### 3.2 算法描述 TODO -### 4 算法开发指南 +## 4 算法开发指南 TODO \ No newline at end of file diff --git a/content/en/docs/config/config-computer.md b/content/en/docs/config/config-computer.md index 815b91d47..b6c602027 100644 --- a/content/en/docs/config/config-computer.md +++ b/content/en/docs/config/config-computer.md @@ -140,7 +140,7 @@ weight: 5 | workerCpu | | The cpu limit of worker, the unit can be 'm' or without unit detail please refer to：[https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#meaning-of-cpu](https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#meaning-of-cpu) | false | | masterMemory | | The memory limit of master, the unit can be one of Ei、Pi、Ti、Gi、Mi、Ki detail please refer to：[https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#meaning-of-memory](https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#meaning-of-memory) | false | | workerMemory | | The memory limit of worker, the unit can be one of Ei、Pi、Ti、Gi、Mi、Ki detail please refer to：[https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#meaning-of-memory](https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#meaning-of-memory) | false | -| log4jXml | | The log4j.xml path for computer job. | false | +| log4jXml | | The content of log4j.xml for computer job. | false | | jarFile | | The jar path of computer algorithm. | false | | remoteJarUri | | The remote jar uri of computer algorithm, it will overlay algorithm image. | false | | jvmOptions | | The java startup parameters of computer job. | false | diff --git a/content/en/docs/quickstart/hugegraph-computer.md b/content/en/docs/quickstart/hugegraph-computer.md index af6103578..81f885c14 100644 --- a/content/en/docs/quickstart/hugegraph-computer.md +++ b/content/en/docs/quickstart/hugegraph-computer.md @@ -6,7 +6,7 @@ weight: 7 ## 1 HugeGraph-Computer Overview -The `HugeGraph-Computer` is a distributed graph processing system for HugeGraph (OLAP). It is an implementation of [Pregel](https://kowshik.github.io/JPregel/pregel_paper.pdf). It runs on Kubernetes framework. +The [`HugeGraph-Computer`](https://github.com/apache/incubator-hugegraph-computer) is a distributed graph processing system for HugeGraph (OLAP). It is an implementation of [Pregel](https://kowshik.github.io/JPregel/pregel_paper.pdf). It runs on Kubernetes framework. ### Features @@ -20,17 +20,17 @@ The `HugeGraph-Computer` is a distributed graph processing system for HugeGraph ## 2 Get Started -There are two ways to get HugeGraph-Computer: - -- Download the compiled tarball -- Clone source code then compile and package - ### 2.1 Run PageRank algorithm locally > To run algorithm with HugeGraph-Computer, you need to install 64-bit JRE/JDK 11 or later versions. > > You also need to deploy HugeGraph-Server and [Etcd](https://etcd.io/docs/v3.5/quickstart/). +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: @@ -192,9 +192,9 @@ kubectl get event --field-selector reason=ComputerJobSucceed --field-selector in 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 Built-In algorithms document -#### 3.1 Supported algorithms list: +### 3.1 Supported algorithms list: ###### Centrality Algorithm: @@ -218,10 +218,10 @@ If the output to `Hugegraph-Server` is consistent with Locally, if output to `HD More algorithms please see: [Built-In algorithms](https://github.com/apache/hugegraph-computer/tree/master/computer-algorithm/src/main/java/org/apache/hugegraph/computer/algorithm) -#### 3.2 Algorithm describe +### 3.2 Algorithm describe TODO -### 4 Algorithm development guide +## 4 Algorithm development guide TODO \ No newline at end of file