YngwieWang commented on a change in pull request #9350: [FLINK-13485]
[chinese-translation] Translate "Table API Example Walkthrough" page into
Chinese
URL: https://github.com/apache/flink/pull/9350#discussion_r310366813
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File path: docs/getting-started/walkthroughs/table_api.zh.md
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@@ -300,10 +303,11 @@ This query consumes all records from the `transactions`
table, calculates the re
{% endhighlight %}
## Adding Windows
+## 添加窗口
-Grouping data based on time is a typical operation in data processing,
especially when working with infinite streams.
-A grouping based on time is called a [window]({{ site.baseurl }}
/dev/stream/operators/windows.html) and Flink offers flexible windowing
semantics.
-The most basic type of window is called a `Tumble` window, which has a fixed
size and whose buckets do not overlap.
+根据时间进行分组在数据处理中是一种很常见的方式，特别是在处理无限的数据流。
+一种根据时间的分组方式被称为 [窗口]({{ site.baseurl }} /dev/stream/operators/windows.html)
，Flink为它提供了多种灵活的语法。
Review comment:
```suggestion
基于时间的分组称为[窗口]({{ site.baseurl }}/zh/dev/stream/operators/windows.html)
，Flink 提供了灵活的窗口语义。
```
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