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_r310368850
########## File path: docs/getting-started/walkthroughs/table_api.zh.md ########## @@ -329,16 +333,16 @@ tEnv </div> </div> -This defines your application as using one hour tumbling windows based on the timestamp column. -So a row with timestamp `2019-06-01 01:23:47` is put in the `2019-06-01 01:00:00` window. +你的应用将会根据时间戳字段生成一个按小时区分的滚动窗口。 +因此如果有一行的时间戳是 `2019-06-01 01:23:47` 将会被放入 `2019-06-01 01:00:00` 这个时间窗口之中。 -Aggregations based on time are unique because time, as opposed to other attributes, generally moves forward in a continuous streaming application. -In a batch context, windows offer a convenient API for grouping records by a timestamp attribute. +在持续的流式应用中，通过时间字段进行聚合是独一无二的，因为相对于其他字段，时间字段通常会不停得向前移动。 Review comment: ```suggestion 在持续的流式应用中，基于时间的聚合结果是唯一的，因为相较于其他属性，时间通常会向前移动。 ``` ---------------------------------------------------------------- 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: [email protected] With regards, Apache Git Services
