RollsBean commented on a change in pull request #16490:
URL: https://github.com/apache/flink/pull/16490#discussion_r675347165
##########
File path: docs/content.zh/docs/dev/datastream/application_parameters.md
##########
@@ -93,29 +88,28 @@ parameter.getNumberOfParameters()
// .. there are more methods available.
```
-You can use the return values of these methods directly in the `main()` method
of the client submitting the application.
-For example, you could set the parallelism of a operator like this:
+你可以在提交应用程序时直接在客户端的 `main()` 方法中使用这些方法的返回值。例如，你可以这样设置算子的并行度：
```java
ParameterTool parameters = ParameterTool.fromArgs(args);
int parallelism = parameters.get("mapParallelism", 2);
DataStream<Tuple2<String, Integer>> counts = text.flatMap(new
Tokenizer()).setParallelism(parallelism);
```
-Since the `ParameterTool` is serializable, you can pass it to the functions
itself:
+由于 `ParameterTool` 是序列化的，你可以将其传递给函数本身：
```java
ParameterTool parameters = ParameterTool.fromArgs(args);
DataStream<Tuple2<String, Integer>> counts = text.flatMap(new
Tokenizer(parameters));
```
-and then use it inside the function for getting values from the command line.
+然后在函数内使用它以获取命令行的传递的参数。
-#### Register the parameters globally
+#### 全局注册参数
-Parameters registered as global job parameters in the `ExecutionConfig` can be
accessed as configuration values from the JobManager web interface and in all
functions defined by the user.
+从 JobManager web 界面和用户定义的所有函数中可以以配置值的方式访问在 `ExecutionConfig` 中注册为全局作业参数。
Review comment:
...可以/ 以...的方式 / 访问（动词） / 在 `ExecutionConfig` 中注册为全局作业参数（定语） /
你看下上面句子结构，完全不通顺呀，访问后面都没有名词（宾语）
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