KarmaGYZ commented on a change in pull request #9749: [FLINK-14115][docs-zh]
Translate DataStream Code Walkthrough to Chinese
URL: https://github.com/apache/flink/pull/9749#discussion_r327465031
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File path: docs/getting-started/walkthroughs/datastream_api.zh.md
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@@ -490,13 +491,13 @@ class FraudDetector extends KeyedProcessFunction[Long,
Transaction, Alert] {
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-`ValueState` is a wrapper class, similar to `AtomicReference` or `AtomicLong`
in the Java standard library.
-It provides three methods for interacting with its contents; `update` sets the
state, `value` gets the current value, and `clear` deletes its contents.
-If the state for a particular key is empty, such as at the beginning of an
application or after calling `ValueState#clear`, then `ValueState#value` will
return `null`.
-Modifications to the object returned by `ValueState#value` are not guaranteed
to be recognized by the system, and so all changes must be performed with
`ValueState#update`.
-Otherwise, fault tolerance is managed automatically by Flink under the hood,
and so you can interact with it like with any standard variable.
+`ValueState` 是一个包装类，类似于 Java 标准库里边的 `AtomicReference` 和 `AtomicLong`。
+它提供了三个用于交互的方法。`update` 用于更新状态，`value` 用于获取状态值，还有 `clear` 用于清空状态。
+如果一个 key 还没有状态，例如当程序刚启动或者调用过 `ValueState#clear` 方法时，`ValueState#value` 将会返回
`null`。
+如果需要更新状态，需要调用 `ValueState#update` 方法，直接更改 `ValueState#value` 的返回值可能不会被系统识别。
+容错处理将在 Flink 后台自动管理，你可以像与常规变量那样与状态变量进行交互。
-Below, you can see an example of how you can use a flag state to track
potential fraudulent transactions.
+下边的示例，说明了如何使用标记状态来追踪可能的欺诈交易行为。
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Review comment:
We may remove the useless indentation in zh version.
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