wuguihu created FLINK-23225:
-------------------------------

             Summary: There is some mismatches between the current translation 
and the latest English version on the Flink-Architecture page
                 Key: FLINK-23225
                 URL: https://issues.apache.org/jira/browse/FLINK-23225
             Project: Flink
          Issue Type: Bug
          Components: Documentation
            Reporter: wuguihu
         Attachments: image-20210703235017401.png

There is some mismatches between the current translation and the latest English 
version on the Flink-Architecture page

 

 

The original English text is as 
follows([https://ci.apache.org/projects/flink/flink-docs-master/docs/concepts/flink-architecture/#flink-application-execution]):
## Flink Application Execution 
​
A _Flink Application_ is any user program that spawns one or multiple Flink
jobs from its ``main()`` method. The execution of these jobs can happen in a
local JVM (``LocalEnvironment``) or on a remote setup of clusters with multiple
machines (``RemoteEnvironment``). For each program, the `ExecutionEnvironment`
provides methods to control the job execution (e.g. setting the parallelism) 
and to interact with
the outside world (see [Anatomy of a Flink Program](\{{< ref 
"docs/dev/datastream/overview" >}}#anatomy-of-a-flink-program)).
​
The jobs of a Flink Application can either be submitted to a long-running
[Flink Session Cluster](\{{< ref "docs/concepts/glossary" 
>}}#flink-session-cluster), a dedicated [Flink Job
Cluster](\{{< ref "docs/concepts/glossary" >}}#flink-job-cluster), or a
[Flink Application Cluster](\{{< ref "docs/concepts/glossary" 
>}}#flink-application-cluster). The difference between these options is mainly 
related to the cluster’s lifecycle and to resource
isolation guarantees.
The Chinese translation is as follows
_Flink 应用程序_ 是从其 ``main()`` 方法产生的一个或多个 Flink 作业的任何用户程序。这些作业的执行可以在本地 
JVM(`LocalEnvironment``)中进行,或具有多台机器的集群的远程设置(``RemoteEnvironment``)中进行。对于每个程序,[``ExecutionEnvironment``](\{{
 site.javadocs_baseurl }}/api/java/) 提供了一些方法来控制作业执行(例如设置并行度)并与外界交互(请参考 [Flink 
程序剖析](\{{< ref "docs/dev/datastream/overview" >}}#anatomy-of-a-flink-program) )。
​
Flink 应用程序的作业可以被提交到长期运行的 [Flink Session 集群](\{{< ref "docs/concepts/glossary" 
>}}#flink-session-cluster)、专用的 [Flink Job 集群](\{{< ref "docs/concepts/glossary" 
>}}#flink-job-cluster) 或 [Flink Application 集群](\{{< ref 
"docs/concepts/glossary" 
>}}#flink-application-cluster)。这些选项之间的差异主要与集群的生命周期和资源隔离保证有关。
 

 

The incorrect translation is as follows
# 1
JVM(`LocalEnvironment``)  should be   JVM(`LocalEnvironment`)
​
# 2
[``ExecutionEnvironment``](\{{ site.javadocs_baseurl }}/api/java/)  should be   
`ExecutionEnvironment`



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