bowenli86 commented on a change in pull request #9163: [FLINK-13086]add Chinese
documentation for catalogs
URL: https://github.com/apache/flink/pull/9163#discussion_r305537544
##########
File path: docs/dev/table/catalog.zh.md
##########
@@ -186,53 +187,57 @@ Currently `HiveCatalog` supports most Flink data types
with the following mappin
| MULTISET | N/A |
-Note that we only cover most commonly used data types for now.
+请注意，我们现在只涵盖最常用的数据类型。
+
+Hive的数据类型中的以下限制会影响Flink和Hive之间的映射：
+
+\* 最小长度 255
-The following limitations in Hive's data types impact the mapping between
Flink and Hive:
+\* 最大长度 65535
-\* maximum length is 255
+## Hive兼容性
-\** maximum length is 65535
+有关Hive兼容性和版本，请参阅 [Hive Compatibility]({{ site.baseurl
}}/dev/batch/hive_compatibility.html)
-Catalog Registration
+目录注册
--------------------
## Register Catalog in Table API
-To register a catalog in Table API, users can create a catalog instance and
register it through `TableEnvironment.registerCatalog(name, catalog)`.
+要在Table
API中注册目录，用户可以创建目录实例并通过`TableEnvironment.registerCatalog（name，catalog）`注册它。
## Register Catalog in SQL CLI
-To use pre-defined catalogs (`GenericInMemoryCatalog` and `HiveCatalog`) in
SQL CLI, please refer to [SQL Clinet]({{ site.baseurl
}}/dev/table/sqlClient.html)
+要在SQL CLI中使用预定义的目录（`GenericInMemoryCatalog`和`HiveCatalog`），请参阅 [SQL Clinet]({{
site.baseurl }}/dev/table/sqlClient.html)
Review comment:
should point to Chinese page of sql client.
```suggestion
要在SQL CLI中使用预定义的目录（`GenericInMemoryCatalog`和`HiveCatalog`），请参阅 [SQL
Clinet]({{ site.baseurl }}/dev/table/sqlClient_zh.html)
```
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