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_r334338639
 
 

 ##########
 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。
 
 Review comment:
   译文没包含continuously

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