hapihu commented on a change in pull request #16852:
URL: https://github.com/apache/flink/pull/16852#discussion_r695853548
##########
File path: docs/content.zh/docs/dev/datastream/overview.md
##########
@@ -28,62 +28,45 @@ specific language governing permissions and limitations
under the License.
-->
+<a name="flink-datastream-api-programming-guide"></a>
+
# Flink DataStream API 编程指南
-DataStream programs in Flink are regular programs that implement
transformations on data streams
-(e.g., filtering, updating state, defining windows, aggregating). The data
streams are initially created from various
-sources (e.g., message queues, socket streams, files). Results are returned
via sinks, which may for
-example write the data to files, or to standard output (for example the
command line
-terminal). Flink programs run in a variety of contexts, standalone, or
embedded in other programs.
-The execution can happen in a local JVM, or on clusters of many machines.
+Flink 中的 DataStream
程序是对数据流（例如过滤、更新状态、定义窗口、聚合）进行转换的常规程序。数据流最初是从各种源（例如消息队列、套接字流、文件）创建的。结果通过 sink
返回，例如可以将数据写入文件或标准输出（例如命令行终端）。Flink 程序可以在各种上下文中运行，可以独立运行，也可以嵌入到其它程序中。任务执行可以发生在本地
JVM 中，也可以发生在多台机器的集群上。
+
+为了创建你自己的 Flink DataStream 程序，我们建议你从 [Flink
程序剖析](#anatomy-of-a-flink-program)开始，然后逐渐添加自己的[流转换](({{< ref
"docs/dev/datastream/operators/overview" >}}))。其余部分用作额外算子和高级特性的参考。
-In order to create your own Flink DataStream program, we encourage you to start
-with [anatomy of a Flink Program](#anatomy-of-a-flink-program) and gradually
-add your own [stream transformations]({{< ref
"docs/dev/datastream/operators/overview" >}}). The remaining sections act as
references for additional operations and advanced features.
+<a name="what-is-a-datastream"></a>
-What is a DataStream?
+DataStream 是什么?
----------------------
-The DataStream API gets its name from the special `DataStream` class that is
-used to represent a collection of data in a Flink program. You can think of
-them as immutable collections of data that can contain duplicates. This data
-can either be finite or unbounded, the API that you use to work on them is the
-same.
+DataStream API 得名于特殊的 `DataStream` 类，该类用于表示 Flink 程序中的数据集合。你可以想象
+它们是可以包含重复项的不可变数据集合。这些数据可以是有限的，也可以是无限的，但用于处理它们的API是相同的。
-A `DataStream` is similar to a regular Java `Collection` in terms of usage but
-is quite different in some key ways. They are immutable, meaning that once they
-are created you cannot add or remove elements. You can also not simply inspect
-the elements inside but only work on them using the `DataStream` API
-operations, which are also called transformations.
+`DataStream` 在用法上类似于常规的 Java
`集合`，但在某些关键方面却大不相同。它们是不可变的，这意味着一旦它们被创建，你就不能添加或删除元素。你也不能简单地察看内部元素，而只能使用
`DataStream` API 操作（也叫作转换）处理它们。
Review comment:
how about this ?
```txt
你也不能简单地察看内部元素，而只能使用 `DataStream` API 操作来处理它们，`DataStream` API
操作也叫作转换（transformation）。
```
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
