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_r310370100
########## File path: docs/getting-started/walkthroughs/table_api.zh.md ########## @@ -380,10 +384,10 @@ val tEnv = StreamTableEnvironment.create(env) </div> </div> -The second step is to migrate from a bounded data source to an infinite data source. -The project comes with an `UnboundedTransactionTableSource` that continuously creates transaction events in real-time. -Similar to the `BoundedTransactionTableSource` this table is backed by data generated in memory to avoid any dependencies on external systems. -In practice, this table might read from a streaming source such as Apache Kafka, AWS Kinesis, or Pravega. +第二步就是把有界的数据源替换成无限的数据源。 +这个项目通过 `UnboundedTransactionTableSource` 来实时生成交易事件。 +与 `BoundedTransactionTableSource` 一样，这个表也是通过在内存中生成数据从而不依赖外部系统。 +在实践中，这个表可能从一个流式数据源中读取数据，比如Apache Kafka、AWS Kinesis或者Pravega。 Review comment: ```suggestion 在实践中，这个表可能从一个流式数据源中读取数据，比如 Apache Kafka、AWS Kinesis 或者 Pravega。 ``` ---------------------------------------------------------------- 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
