YngwieWang commented on a change in pull request #9350: [FLINK-13485] [chinese-translation] Translate "Table API Example Walkthrough" page into Chinese URL: https://github.com/apache/flink/pull/9350#discussion_r310366114
########## File path: docs/getting-started/walkthroughs/table_api.zh.md ########## @@ -158,12 +162,12 @@ 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去连接外部系统，从而对批数据或流数据进行读写操作。 +数据源像数据库、键-值存储、消息队列或者文件系统提供了一种从外部访问存储数据的方法。 +而表接收端则允许将表中的数据发送到外部存储系统。 +现在表能支持很多不同的数据类型，比如CSV、JSON、Avro还有Parquet，因此可以满足数据源和数据接收端所需的数据结构。 Review comment: ```suggestion 根据数据源或接收器的类型，它们支持不同的格式，如 CSV、JSON、Avro 或 Parquet。 ``` ---------------------------------------------------------------- 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] With regards, Apache Git Services
