yljee commented on a change in pull request #16316:
URL: https://github.com/apache/flink/pull/16316#discussion_r661254041
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File path: docs/content.zh/docs/dev/table/tableApi.md
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@@ -28,25 +28,25 @@ under the License.
# Table API
-The Table API is a unified, relational API for stream and batch processing.
Table API queries can be run on batch or streaming input without modifications.
The Table API is a super set of the SQL language and is specially designed for
working with Apache Flink. The Table API is a language-integrated API for
Scala, Java and Python. Instead of specifying queries as String values as
common with SQL, Table API queries are defined in a language-embedded style in
Java, Scala or Python with IDE support like autocompletion and syntax
validation.
+Table API 是批处理和流处理的统一的关系 API。Table API 的查询不需要修改代码就可以采用批输入或流输入来运行。Table API 是
SQL 语言的超集，并且是针对Apache Flink 专门设计的。Table API 集成了 Scala, Java 和 Python 语言的
API。Table API 的查询是使用 Java, Scala 或 Python 语言嵌入的风格定义的，有诸如自动补全和语法校验的 IDE
支持，而不是像普通 SQL 一样使用字符串类型的值来指定查询。
-The Table API shares many concepts and parts of its API with Flink's SQL
integration. Have a look at the [Common Concepts & API]({{< ref
"docs/dev/table/common" >}}) to learn how to register tables or to create a
`Table` object. The [Streaming Concepts]({{< ref
"docs/dev/table/concepts/overview" >}}) pages discuss streaming specific
concepts such as dynamic tables and time attributes.
+Table API 和 Flink SQL 共享许多概念以及部分集成的 API。通过查看 [公共概念 & API]({{< ref
"docs/dev/table/common" >}}) 来学习如何注册表或如何创建一个表对象。 [流概念]({{< ref
"docs/dev/table/concepts/overview" >}})页面讨论了诸如动态表和时间属性等流特有的概念。
-The following examples assume a registered table called `Orders` with
attributes `(a, b, c, rowtime)`. The `rowtime` field is either a logical [time
attribute]({{< ref "docs/dev/table/concepts/time_attributes" >}}) in streaming
or a regular timestamp field in batch.
+下面的例子假设了一张名称是 `Orders` 有属性 `(a, b, c, rowtime)` 的表。`rowtime`
字段是流中的逻辑[时间属性]({{< ref "docs/dev/table/concepts/time_attributes"
>}})或是批中的普通时间戳字段。
Review comment:
好的，我修改一下
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