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_r310370155
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File path: docs/getting-started/walkthroughs/table_api.zh.md
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@@ -399,27 +403,27 @@ tEnv.registerTableSource("transactions", new
UnboundedTransactionTableSource)
</div>
</div>
-And that's it, a fully functional, stateful, distributed streaming application!
-The query continuously consumes the stream of transactions, computes the
hourly spendings, and emits results as soon as they are ready.
-Since the input is unbounded, the query keeps running until it is manually
stopped.
-And because the Job uses time window-based aggregations, Flink can perform
specific optimizations such as state clean up when the framework knows that no
more records will arrive for a particular window.
+这就是一个功能齐全、有状态的分布式流式应用！
+这个查询作业会不断得消费交易事件流，计算每小时的消费额，然后实时得输出结果。
Review comment:
```suggestion
这个查询会持续处理交易流，计算每小时的消费额，然后实时输出结果。
```
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