RocMarshal commented on a change in pull request #11979:
URL: https://github.com/apache/flink/pull/11979#discussion_r419201525
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File path: docs/training/event_driven.zh.md
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@@ -29,19 +29,18 @@ under the License.
## Process Functions
-### Introduction
+### 介绍
-A `ProcessFunction` combines event processing with timers and state, making it
a powerful building
-block for stream processing applications. This is the basis for creating
event-driven applications
-with Flink. It is very similar to a `RichFlatMapFunction`, but with the
addition of timers.
+`ProcessFunction` 将事件处理与 Timer 和 State 结合在一起，使其成为流处理应用的强大构建模块。
+这是使用 Flink 创建事件驱动的应用程序的基础。它和 `RichFlatMapFunction` 十分相似， 但是增加了 Timer。
-### Example
+### 实例
-If you've done the
-[hands-on exercise]({% link training/streaming_analytics.zh.md %}#hands-on)
-in the [Streaming Analytics training]({% link
training/streaming_analytics.zh.md %}),
-you will recall that it uses a `TumblingEventTimeWindow` to compute the sum of
the tips for
-each driver during each hour, like this:
+如果你已经体验了
+[流式分析训练]({% link training/streaming_analytics.zh.md %})
+的[动手实践]({% link training/streaming_analytics.zh.md %}#hands-on)，
+你会忆起，它是采用 `TumblingEventTimeWindow` 来计算每个小时内每个司机的小费总和，
Review comment:
Yes, it will be easier to understand in translation. I've updated it.
thank you.
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