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| # Examples | ||
| # 实例 | ||
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| ## Bundled Examples | ||
| ## Bundled例子 | ||
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| The Flink sources include many examples for Flink’s different APIs: | ||
| Flink的源代码包含了许多Flink不同api的例子:: | ||
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| * DataStream applications ([Java](https://github.com/apache/flink/blob/master/flink-examples/flink-examples-streaming/src/main/java/org/apache/flink/streaming/examples) / [Scala](https://github.com/apache/flink/blob/master/flink-examples/flink-examples-streaming/src/main/scala/org/apache/flink/streaming/scala/examples)) | ||
| * DataSet applications ([Java](https://github.com/apache/flink/blob/master/flink-examples/flink-examples-batch/src/main/java/org/apache/flink/examples/java) / [Scala](https://github.com/apache/flink/blob/master/flink-examples/flink-examples-batch/src/main/scala/org/apache/flink/examples/scala)) | ||
| * Table API / SQL queries ([Java](https://github.com/apache/flink/blob/master/flink-examples/flink-examples-table/src/main/java/org/apache/flink/table/examples/java) / [Scala](https://github.com/apache/flink/blob/master/flink-examples/flink-examples-table/src/main/scala/org/apache/flink/table/examples/scala)) | ||
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| These [instructions](//ci.apache.org/projects/flink/flink-docs-release-1.7/dev/batch/examples.html#running-an-example) explain how to run the examples. | ||
| 这些 [instructions](//ci.apache.org/projects/flink/flink-docs-release-1.7/dev/batch/examples.html#running-an-example) 解释了如何运行示例。 | ||
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| ## Examples on the Web | ||
| ## 网上的例子 | ||
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| There are also a few blog posts published online that discuss example applications: | ||
| 也有一些博客文章在网上发表，讨论示例应用程序: | ||
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| * [How to build stateful streaming applications with Apache Flink](https://www.infoworld.com/article/3293426/big-data/how-to-build-stateful-streaming-applications-with-apache-flink.html) presents an event-driven application implemented with the DataStream API and two SQL queries for streaming analytics. | ||
| * [How to build stateful streaming applications with Apache Flink](https://www.infoworld.com/article/3293426/big-data/how-to-build-stateful-streaming-applications-with-apache-flink.html)展示了一个使用DataStream API和两个用于流分析的SQL查询实现的事件驱动应用程序。 | ||
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| * [Building real-time dashboard applications with Apache Flink, Elasticsearch, and Kibana](https://www.elastic.co/blog/building-real-time-dashboard-applications-with-apache-flink-elasticsearch-and-kibana) is a blog post at elastic.co showing how to build a real-time dashboard solution for streaming data analytics using Apache Flink, Elasticsearch, and Kibana. | ||
| * [Building real-time dashboard applications with Apache Flink, Elasticsearch, and Kibana](https://www.elastic.co/blog/building-real-time-dashboard-applications-with-apache-flink-elasticsearch-and-kibana)是elastic的一篇博客文章。展示了如何使用Apache Flink、Elasticsearch和Kibana构建流数据分析的实时仪表板解决方案。 | ||
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| * The [Flink training website](http://training.data-artisans.com/) from data Artisans has a number of examples. Check out the hands-on sections and the exercises. | ||
| * [Flink training website](http://training.data-artisans.com/)提供了一些示例。检查实践部分和练习。 | ||
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