dianfu commented on a change in pull request #13791:
URL: https://github.com/apache/flink/pull/13791#discussion_r513132764
##########
File path: docs/dev/table/tableApi.zh.md
##########
@@ -24,7 +24,7 @@ under the License.
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.
-The Table API shares many concepts and parts of its API with Flink's SQL
integration. Have a look at the [Common Concepts & API]({{ site.baseurl
}}/dev/table/common.html) to learn how to register tables or to create a
`Table` object. The [Streaming Concepts](./streaming) pages discuss streaming
specific concepts such as dynamic tables and time attributes.
+The Table API shares many concepts and parts of its API with Flink's SQL
integration. Have a look at the [Common Concepts & API]({% link
dev/table/common.md %}) to learn how to register tables or to create a `Table`
object. The [Streaming Concepts](./streaming) pages discuss streaming specific
concepts such as dynamic tables and time attributes.
Review comment:
```suggestion
The Table API shares many concepts and parts of its API with Flink's SQL
integration. Have a look at the [Common Concepts & API]({% link
dev/table/common.zh.md %}) to learn how to register tables or to create a
`Table` object. The [Streaming Concepts](./streaming) pages discuss streaming
specific concepts such as dynamic tables and time attributes.
```
Same for the other places.
----------------------------------------------------------------
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]
