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Posted to commits@hugegraph.apache.org by zh...@apache.org on 2022/11/28 02:40:53 UTC
[incubator-hugegraph-doc] branch improve_computer_doc created (now 9a8c83c2)
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in repository https://gitbox.apache.org/repos/asf/incubator-hugegraph-doc.git
at 9a8c83c2 improve computer doc
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new 9a8c83c2 improve computer doc
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[incubator-hugegraph-doc] 01/01: improve computer doc
Posted by zh...@apache.org.
This is an automated email from the ASF dual-hosted git repository.
zhaocong pushed a commit to branch improve_computer_doc
in repository https://gitbox.apache.org/repos/asf/incubator-hugegraph-doc.git
commit 9a8c83c26548a8d2eeee7edd39c9f11fc831665d
Author: coderzc <zh...@apache.org>
AuthorDate: Mon Nov 28 10:39:31 2022 +0800
improve computer doc
---
content/cn/docs/config/config-computer.md | 2 +-
content/cn/docs/quickstart/hugegraph-computer.md | 6 +++---
content/en/docs/config/config-computer.md | 2 +-
content/en/docs/quickstart/hugegraph-computer.md | 12 ++++++------
4 files changed, 11 insertions(+), 11 deletions(-)
diff --git a/content/cn/docs/config/config-computer.md b/content/cn/docs/config/config-computer.md
index 360611d5..07779bfd 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 c28f080e..828a3a5f 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
diff --git a/content/en/docs/config/config-computer.md b/content/en/docs/config/config-computer.md
index 815b91d4..b6c60202 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 af610357..127c3c6b 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: