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_r334339338
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File path: docs/getting-started/walkthroughs/table_api.zh.md
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@@ -399,27 +403,29 @@ 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。
+由于输入是无界的，因此查询将一直运行，直到手动停止为止。
+因为这个作业使用了基于时间的聚合，Flink 可以使用一些特定的优化，比如当系统知道一个特定的窗口不会再有新的数据到来，它就会对状态进行清理。
Review comment:
“基于时间的聚合”->“基于时间窗口的聚合”：这点很重要，如果不是基于窗口，flink无法进行此类优化
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