klion26 commented on a change in pull request #9097: [FLINK-11529][docs-zh]
Translate the "DataStream API Tutorial" page into Chinese
URL: https://github.com/apache/flink/pull/9097#discussion_r303226551
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File path: docs/getting-started/tutorials/datastream_api.zh.md
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@@ -309,24 +279,17 @@ similar to this:
4> (KasparBot,-245)
{% endhighlight %}
-The number in front of each line tells you on which parallel instance of the
print sink the output
-was produced.
+每行数据前面的数字代表着打印接收器在哪个并行实例上产生的输出数据。
-This should get you started with writing your own Flink programs. To learn more
-you can check out our guides
-about [basic concepts]({{ site.baseurl }}/dev/api_concepts.html) and the
-[DataStream API]({{ site.baseurl }}/dev/datastream_api.html). Stick
-around for the bonus exercise if you want to learn about setting up a Flink
cluster on
-your own machine and writing results to [Kafka](http://kafka.apache.org).
+这可以让你开始创建你自己的 Flink 项目。你可以查看[基本概念]({{ site.baseurl
}}/zh/dev/api_concepts.html)和[DataStream API]
+({{ site.baseurl }}/zh/dev/datastream_api.html)指南。如果你想学习了解更多关于 Flink
集群安装以及写入数据到 [Kafka](http://kafka.apache.org),
+你可以自己多加以练习尝试。
-## Bonus Exercise: Running on a Cluster and Writing to Kafka
+## 额外练习: 集群运行并输出 Kafka
-Please follow our [local setup tutorial](local_setup.html) for setting up a
Flink distribution
-on your machine and refer to the [Kafka
quickstart](https://kafka.apache.org/0110/documentation.html#quickstart)
-for setting up a Kafka installation before we proceed.
+请按照我们的[本地安装教程](local_setup.html)在你的机器上构建一个Flink分布式环境，同时参考[Kafka快速指南](https://kafka.apache.org/0110/documentation.html#quickstart)安装一个我们需要使用的Kafka环境。
Review comment:
```suggestion
请按照我们的[本地安装教程](local_setup.html)在你的机器上构建一个Flink分布式环境，同时参考
[Kafka快速指南](https://kafka.apache.org/0110/documentation.html#quickstart)安装一个我们需要使用的Kafka环境。
```
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