RocMarshal commented on a change in pull request #16852:
URL: https://github.com/apache/flink/pull/16852#discussion_r695623245
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File path: docs/content.zh/docs/dev/datastream/overview.md
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@@ -93,30 +76,19 @@ createLocalEnvironment()
createRemoteEnvironment(String host, int port, String... jarFiles)
```
-Typically, you only need to use `getExecutionEnvironment()`, since this will do
-the right thing depending on the context: if you are executing your program
-inside an IDE or as a regular Java program it will create a local environment
-that will execute your program on your local machine. If you created a JAR file
-from your program, and invoke it through the [command line]({{< ref
"docs/deployment/cli" >}}), the Flink cluster manager will execute your main
method and
-`getExecutionEnvironment()` will return an execution environment for executing
-your program on a cluster.
+通常，你只需要使用 `getExecutionEnvironment()` 即可，因为该方法会根据上下文做正确的处理：如果在 IDE
中执行你的程序或作为常规 Java 程序，它将创建一个本地环境，该环境将在你的本地机器上执行你的程序。如果你基于程序创建了一个 JAR
文件，并通过[命令行]({{< ref "docs/deployment/cli" >}})调用它，Flink 集群管理器将执行程序的 main 方法，同时
`getExecutionEnvironment()` 方法会返回一个执行环境以在集群上执行你的程序。
-For specifying data sources the execution environment has several methods to
-read from files using various methods: you can just read them line by line, as
-CSV files, or using any of the other provided sources. To just read a text file
-as a sequence of lines, you can use:
+为了指定 data sources，执行环境提供了一些方法，支持使用各种方法从文件中读取数据：你可以直接逐行读取数据，像读 CSV
文件一样，或使用任何第三方提供的 source。如果只是将一个文本文件作为一个行的序列来读，你可以使用：
```java
final StreamExecutionEnvironment env =
StreamExecutionEnvironment.getExecutionEnvironment();
DataStream<String> text = env.readTextFile("file:///path/to/file");
```
-This will give you a DataStream on which you can then apply transformations to
create new
-derived DataStreams.
+这将为你生成一个 DataStream，然后你可以在上面应用转换来创建新的派生 DataStream。
Review comment:
```suggestion
这将生成一个 DataStream，然后你可以在上面应用转换（transformation）来创建新的派生 DataStream。
```
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