xintongsong commented on a change in pull request #9784: [FLINK-13485] 
[chinese-translation] Translate "Table API Example Walkthrough" page into 
Chinese
URL: https://github.com/apache/flink/pull/9784#discussion_r335318411
 
 

 ##########
 File path: docs/getting-started/walkthroughs/table_api.zh.md
 ##########
 @@ -158,12 +157,12 @@ val tEnv = BatchTableEnvironment.create(env)
 </div>
 
 
-#### Registering Tables
+#### 注册表
 
-Next, tables are registered in the execution environment that you can use to 
connect to external systems for reading and writing both batch and streaming 
data.
-A table source provides access to data stored in external systems; such as a 
database, a key-value store, a message queue, or a file system.
-A table sink emits a table to an external storage system.
-Depending on the type of source and sink, they support different formats such 
as CSV, JSON, Avro, or Parquet.
+接下来,表将会被注册到运行环境之中,这样你就可以用它们连接外部系统以读取或写入批数据或流数据。
+表数据源提供对存储在外部系统中的数据的访问;例如数据库、键-值存储、消息队列或文件系统。
+表接收器则将表中的数据发送到外部存储系统。
+根据 source 或 sink 的类型,它们支持不同的格式,如 CSV、JSON、Avro 或 Parquet。
 
 Review comment:
   这一段中的表述不统一。
   source/sink vs. 数据源/接收器

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