YngwieWang commented on a change in pull request #9299: [FLINK-13405][docs-zh]
Translate "Basic API Concepts" page into Chinese
URL: https://github.com/apache/flink/pull/9299#discussion_r317595057
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File path: docs/dev/api_concepts.zh.md
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@@ -605,46 +523,35 @@ data.map (new RichMapFunction[String, Int] {
</div>
-Rich functions provide, in addition to the user-defined function (map,
-reduce, etc), four methods: `open`, `close`, `getRuntimeContext`, and
-`setRuntimeContext`. These are useful for parameterizing the function
-(see [Passing Parameters to Functions]({{ site.baseurl
}}/dev/batch/index.html#passing-parameters-to-functions)),
-creating and finalizing local state, accessing broadcast variables (see
-[Broadcast Variables]({{ site.baseurl
}}/dev/batch/index.html#broadcast-variables)), and for accessing runtime
-information such as accumulators and counters (see
-[Accumulators and Counters](#accumulators--counters)), and information
-on iterations (see [Iterations]({{ site.baseurl }}/dev/batch/iterations.html)).
+富函数为用户定义函数（map、reduce 等）额外提供了 4 个方法： `open`、`close`、`getRuntimeContext` 和
`setRuntimeContext`。这些方法有助于向函数传参（请参阅 [向函数传递参数]({{ site.baseurl
}}/zh/dev/batch/index.html#passing-parameters-to-functions)）、
+创建和终止本地状态、访问广播变量（请参阅
+[广播变量]({{ site.baseurl
}}/zh/dev/batch/index.html#broadcast-variables)）、访问诸如累加器和计数器等运行时信息（请参阅
+[累加器和计数器](#accumulators--counters)）和迭代信息（请参阅 [迭代]({{ site.baseurl
}}/zh/dev/batch/iterations.html)）。
{% top %}
-Supported Data Types
+支持的数据类型
--------------------
-Flink places some restrictions on the type of elements that can be in a
DataSet or DataStream.
-The reason for this is that the system analyzes the types to determine
-efficient execution strategies.
+Flink 对于 DataSet 或 DataStream 中可以包含的元素类型做了一些限制。这么做是为了使系统能够分析类型以确定有效的执行策略。
-There are six different categories of data types:
+有六种不同的数据类型：
Review comment:
是，我先提个修改英文文档的pr吧。
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