flink-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From GitBox <...@apache.org>
Subject [GitHub] [flink] wuchong commented on a change in pull request #9784: [FLINK-13485] [chinese-translation] Translate "Table API Example Walkthrough" page into Chinese
Date Mon, 21 Oct 2019 03:51:01 GMT
wuchong commented on a change in pull request #9784: [FLINK-13485] [chinese-translation] Translate
"Table API Example Walkthrough" page into Chinese
URL: https://github.com/apache/flink/pull/9784#discussion_r336824601
 
 

 ##########
 File path: docs/getting-started/walkthroughs/table_api.zh.md
 ##########
 @@ -299,11 +297,11 @@ This query consumes all records from the `transactions` table, calculates
the re
 > 2, 2019-01-01 04:00:00.0, $760.76
 {% 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时。
+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。
+其中最基础的是 `滚动窗口`,它具有固定大小且窗口之间不重叠。
 
 Review comment:
   ```suggestion
   其中最基础的是 `Tumble` window (滚动窗口),它具有固定大小且窗口之间不重叠。
   ```
   
   Tumble  这里是更多的是指 代码中的 `Tumble`,所以不翻译。

----------------------------------------------------------------
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.
 
For queries about this service, please contact Infrastructure at:
users@infra.apache.org


With regards,
Apache Git Services

Mime
View raw message