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new 686dd98 Change system user manual link address and English translation
new 6f1f1c3 Merge pull request #53 from break60/master
686dd98 is described below
commit 686dd98f729f4b07b2509552fce6c5ed3bd29b09
Author: break60 <[email protected]>
AuthorDate: Thu Dec 5 17:53:21 2019 +0800
Change system user manual link address and English translation
---
docs/en-us/development/architecture-design.md | 2 +-
docs/zh-cn/development/architecture-design.md | 26 +++++++++++++-------------
2 files changed, 14 insertions(+), 14 deletions(-)
diff --git a/docs/en-us/development/architecture-design.md
b/docs/en-us/development/architecture-design.md
index 3b5ead1..8866599 100755
--- a/docs/en-us/development/architecture-design.md
+++ b/docs/en-us/development/architecture-design.md
@@ -98,7 +98,7 @@ Before explaining the architecture of the schedule system,
let us first understa
- **UI**
- The front-end page of the system provides various visual operation
interfaces of the system. For details, see the **[System User Manual] (System
User Manual.md)** section.
+ The front-end page of the system provides various visual operation
interfaces of the system. For details, see the <a
href="/en-us/docs/user_doc/system-manual.html" target="_self">System User
Manual</a> section.
diff --git a/docs/zh-cn/development/architecture-design.md
b/docs/zh-cn/development/architecture-design.md
index 7d578c9..7e40659 100755
--- a/docs/zh-cn/development/architecture-design.md
+++ b/docs/zh-cn/development/architecture-design.md
@@ -88,7 +88,7 @@
* **UI**
- 系统的前端页面,提供系统的各种可视化操作界面,详见**[系统使用手册](系统使用手册.md)**部分。
+ 系统的前端页面,提供系统的各种可视化操作界面,详见<a href="/zh-cn/docs/user_doc/system-manual.html"
target="_self">系统使用手册</a>部分。
#### 2.3 架构设计思想
@@ -302,7 +302,7 @@ public class TaskLogFilter extends Filter<ILoggingEvent {
本文从调度出发,初步介绍了大数据分布式工作流调度系统--DolphinScheduler的架构原理及实现思路。未完待续
- some processes need to be processed before other processes. This can be
configured at the start of the process or at the time of scheduled start. There
are 5 levels, followed by HIGHEST, HIGH, MEDIUM, LOW, and LOWEST. As shown below
+ 有些流程需要先于其他流程进行处理。 可以在流程开始时或计划开始时进行配置。 有5个级别,依次为最高,高,中,低和最低。 如下所示
<p align="center">
<img
src="https://analysys.github.io/easyscheduler_docs_cn/images/process_priority.png"
alt="Process Priority Configuration" width="40%" />
@@ -314,19 +314,19 @@ public class TaskLogFilter extends Filter<ILoggingEvent {
<img
src="https://analysys.github.io/easyscheduler_docs_cn/images/task_priority.png"
alt="task priority configuration" width="35%" />
</p>
-##### VI. Logback and gRPC implement log access
+##### VI. Logback和gRPC实现日志访问
-- Since the Web (UI) and Worker are not necessarily on the same machine,
viewing the log is not as it is for querying local files. There are two options:
- - Put the logs on the ES search engine
- - Obtain remote log information through gRPC communication
-- Considering the lightweightness of DolphinScheduler as much as possible,
gRPC was chosen to implement remote access log information.
+- 由于Web(UI)和工作器不一定位于同一台计算机上,因此查看日志的方式与查询本地文件的方式不同。 有两种选择:
+ - 将日志放在ES搜索引擎上
+ - 通过gRPC通信获取远程日志信息
+- 考虑到DolphinScheduler的轻巧性,选择了gRPC来实现远程访问日志信息。
<p align="center">
<img src="https://analysys.github.io/easyscheduler_docs_cn/images/grpc.png"
alt="grpc remote access" width="50%" />
</p>
-- We use a custom Logback FileAppender and Filter function to generate a log
file for each task instance.
-- The main implementation of FileAppender is as follows:
+- 我们使用自定义的Logback FileAppender和Filter函数为每个任务实例生成一个日志文件。
+- FileAppender的主要实现如下:
```java
/**
@@ -354,9 +354,9 @@ public class TaskLogFilter extends Filter<ILoggingEvent {
}
```
-Generate a log in the form of /process definition id/process instance id/task
instance id.log
+以/ process definition id / process instance id / task instance id.log的形式生成日志
-- Filter matches the thread name starting with TaskLogInfo:
+- 过滤器匹配以TaskLogInfo开头的线程名称:
- TaskLogFilter is implemented as follows:
```java
@@ -377,6 +377,6 @@ Public class TaskLogFilter extends Filter<ILoggingEvent {
-### summary
+### 摘要
-Starting from the scheduling, this paper introduces the architecture principle
and implementation ideas of the big data distributed workflow scheduling
system-DolphinScheduler. To be continued
+从调度开始,介绍了大数据分布式工作流调度系统DolphinScheduler的体系结构原理和实现思路。 未完待续