lirui-apache commented on a change in pull request #11390:
[FLINK-16096][docs-zh] Translate dev/table/catalog.zh.md into Chinese
URL: https://github.com/apache/flink/pull/11390#discussion_r392771823
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File path: docs/dev/table/catalogs.zh.md
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@@ -22,44 +22,44 @@ specific language governing permissions and limitations
under the License.
-->
-Catalogs provide metadata, such as databases, tables, partitions, views, and
functions and information needed to access data stored in a database or other
external systems.
+目录提供了元数据信息，例如数据库、表、分区、视图以及数据库或其他外部系统中存储的函数和信息。
-One of the most crucial aspects of data processing is managing metadata.
-It may be transient metadata like temporary tables, or UDFs registered against
the table environment.
-Or permanent metadata, like that in a Hive Metastore. Catalogs provide a
unified API for managing metadata and making it accessible from the Table API
and SQL Queries.
+数据处理最关键的方面之一是管理元数据。
+目录可以是临时元数据，例如临时表、针对表环境注册的 UDF。
+它也可以是持久化的元数据，例如 Hive Metastore 中的元数据。目录提供了一个统一的API，用于管理元数据，并使其可以从 Table API 和
SQL 查询语句中来访问。
* This will be replaced by the TOC
{:toc}
-## Catalog Types
+## 目录 (catalog) 类型
-### GenericInMemoryCatalog
+### GenericInMemory 目录
-The `GenericInMemoryCatalog` is an in-memory implementation of a catalog. All
objects will be available only for the lifetime of the session.
+GenericInMemory 目录是内存中实现的目录，所有对象只在 session 的存活期内可用。
-### HiveCatalog
+### Hive 目录
-The `HiveCatalog` serves two purposes; as persistent storage for pure Flink
metadata, and as an interface for reading and writing existing Hive metadata.
-Flink's [Hive documentation]({{ site.baseurl }}/dev/table/hive/index.html)
provides full details on setting up the catalog and interfacing with an
existing Hive installation.
+`HiveCatalog` 服务有两个用途：作为原生 Flink 元数据的持久化存储，以及作为读写现有 Hive 目录的接口。
+Flink 的 [Hive 文档]({{ site.baseurl }}/zh/dev/table/hive/index.html) 提供了有关 Hive
设置目录以及现有接口的完整详细信息。
-{% warn %} The Hive Metastore stores all meta-object names in lower case. This
is unlike `GenericInMemoryCatalog` which is case-sensitive
+<span class="label label-danger">警告</span> Hive Metastore 以小写形式存储所有元数据对象名称。而
`GenericInMemoryCatalog` 区分大小写。
-### User-Defined Catalog
+### 用户自定义目录
-Catalogs are pluggable and users can develop custom catalogs by implementing
the `Catalog` interface.
-To use custom catalogs in SQL CLI, users should develop both a catalog and its
corresponding catalog factory by implementing the `CatalogFactory` interface.
+目录是可扩展的，用户可以通过实现 `Catalog` 接口来开发自定义目录。
+想要在 SQL CLI 中使用自定义目录，用户应该通过实现 `CatalogFactory` 接口来开发目录以及对应的目录工厂。
-The catalog factory defines a set of properties for configuring the catalog
when the 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 a
corresponding catalog instance.
+目录工厂定义了一组属性，用于 SQL CLI 启动时配置目录。
+这组属性集将传递给发现服务，在该服务中，服务会尝试将属性关联到 `CatalogFactory` 并初始化相应的目录实例。
-## How to Create and Register Flink Tables to Catalog
+## 如何创建 Flink 表并将其注册到目录
-### Using SQL DDL
+### 使用 SQL DDL
-Users can use SQL DDL to create tables in catalogs in both Table API and SQL.
+用户可以使用 SQL DDL 中的 Table API 和 SQL 在目录中创建表。
Review comment:
```suggestion
用户可以使用 DDL 通过 Table API 或者 SQL Client 在 Catalog 中创建表。
```
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