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_r305537789
##########
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)
-To use custom catalogs in SQL CLI, users should develop both a catalog and its
corresponding catalog factory by implementing `Catalog` and `CatalogFactory`
interfaces respectively.
+要在SQL CLI中使用自定义目录，用户应分别通过实现`Catalog`和`CatalogFactory`接口来开发目录及其相应的目录工厂。
-The catalog factory defines a set of properties for configuring the catalog
when SQL CLI bootstraps. The set of properties will be passed to a discovery
service where the service tries to match the properties to a `CatalogFactory`
and initiate an corresponding catalog instance.
+目录工厂定义了一组属性用于在SQL CLI引导时配置目录。
该组属性将传递给发现服务，这些服务会尝试将属性与`CatalogFactory`匹配并启动相应的目录实例。
{% top %}
-Catalog Modules
+目录模块
---------------
-`GenericInMemoryCatalog` is built into Flink's Table API.
+`GenericInMemoryCatalog`内置于Flink的Table API中。
-To use `HiveCatalog` in Flink Table API and SQL, users need to include
`flink-connector-hive` jar in their projects.
+要在Flink Table API和SQL中使用`HiveCatalog`，用户需要在他们的项目中包含`flink-connector-hive` jar。
{% highlight xml %}
<dependency>
- <groupId>org.apache.flink</groupId>
- <artifactId>flink-connector-hive_{{ site.scala_version_suffix
}}</artifactId>
- <version>{{site.version}}</version>
+ <groupId>org.apache.flink</groupId>
Review comment:
revert changes to this code snippet as it doesn't do anything except
indentation
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