YngwieWang commented on a change in pull request #9299: [FLINK-13405][docs-zh]
Translate "Basic API Concepts" page into Chinese
URL: https://github.com/apache/flink/pull/9299#discussion_r317576784
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File path: docs/dev/api_concepts.zh.md
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@@ -95,31 +73,19 @@ createLocalEnvironment()
createRemoteEnvironment(String host, int port, String... jarFiles)
{% endhighlight %}
-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]({{ site.baseurl }}/ops/cli.html), 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()`，因为它会根据上下文环境完成正确的工作，如果你在 IDE 中执行程序或者作为标准的
Java 程序来执行，它会创建你的本机执行环境。如果你将程序封装成 JAR 包，然后通过[命令行]({{ site.baseurl
}}/zh/ops/cli.html)调用，Flink 集群管理器会执行你的 main 方法并且 `getExecutionEnvironment()`
会返回在集群上执行程序的执行环境。
-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 completely custom data input formats. To just read
-a text file as a sequence of lines, you can use:
+针对不同的数据源，执行环境有若干不同读取文件的方法：你可以逐行读取 CSV 文件，或者使用完全自定义的输入格式。要将文本文件作为一系列行读取，你可以使用：
{% highlight java %}
final StreamExecutionEnvironment env =
StreamExecutionEnvironment.getExecutionEnvironment();
DataStream<String> text = env.readTextFile("file:///path/to/file");
{% endhighlight %}
-This will give you a DataStream on which you can then apply transformations to
create new
-derived DataStreams.
+这样你会得到一个 DataStream 然后应用转换操作创建新的派生 DataStream。
Review comment:
👍 修改为“这样你会得到一个 DataStream 然后对其应用转换操作从而创建新的派生 DataStream。”
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