要获得与亚马逊 Timestream 类似的功能 LiveAnalytics，可以考虑适用于 InfluxDB 的亚马逊 Timestream。适用于 InfluxDB 的 Amazon Timestream 提供简化的数据摄取和个位数毫秒级的查询响应时间，以实现实时分析。点击[此处](https://docs.aws.amazon.com//timestream/latest/developerguide/timestream-for-influxdb.html)了解更多信息。

本文属于机器翻译版本。若本译文内容与英语原文存在差异，则一律以英文原文为准。

# 示例应用程序
<a name="sample-apps"></a>

Timestream 附带功能齐全的示例应用程序，介绍如何创建数据库和表、在表格中填充约 12.6 万行的示例数据以及如何运行示例查询。按照以下步骤，通过受支持的任何语言开始使用示例应用程序：

------
#### [  Java  ]

1. 按照中的说明克隆[ LiveAnalytics 示例应用程序的 GitHub 存储库 Timestream](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps)。[GitHub](https://docs.github.com/en/free-pro-team@latest/github/creating-cloning-and-archiving-repositories/cloning-a-repository)

1. 按照入门中所述的说明将 AWS SDK 配置为 LiveAnalytics 连接到 Timestream。[Java](getting-started.java.md)

1. 按照[此处](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps/java/README.md)描述的说明，运行 [Java 示例应用程序](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps/java) 

------
#### [  Java v2  ]

1. 按照中的说明克隆[ LiveAnalytics 示例应用程序的 GitHub 存储库 Timestream](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps)。[GitHub](https://docs.github.com/en/free-pro-team@latest/github/creating-cloning-and-archiving-repositories/cloning-a-repository)

1. 按照入门中所述的说明将 AWS 软件开发工具包配置为 LiveAnalytics 连接到 Amazon Timestream。[Java v2](getting-started.java-v2.md)

1. 按照[此处](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps/javaV2/README.md)描述的说明，运行 [Java 2.0 示例应用程序](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps/javaV2) 

------
#### [  Go  ]

1. 按照中的说明克隆[ LiveAnalytics 示例应用程序的 GitHub 存储库 Timestream](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps)。[GitHub](https://docs.github.com/en/free-pro-team@latest/github/creating-cloning-and-archiving-repositories/cloning-a-repository)

1. 按照入门中所述的说明将 AWS 软件开发工具包配置为 LiveAnalytics 连接到 Amazon Timestream。[Go](getting-started.go.md)

1. 按照[此处](https://github.com/awslabs/amazon-timestream-tools/blob/mainline/sample_apps/goV2/README.md)描述的说明，运行 [Go 示例应用程序](https://github.com/awslabs/amazon-timestream-tools/tree/mainline/sample_apps/goV2) 

------
#### [  Python  ]

1. 按照中的说明克隆[ LiveAnalytics 示例应用程序的 GitHub 存储库 Timestream](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps)。[GitHub](https://docs.github.com/en/free-pro-team@latest/github/creating-cloning-and-archiving-repositories/cloning-a-repository)

1. 按照中所述的说明将 AWS 软件开发工具包配置为 LiveAnalytics 连接到 Amazon Timestream。[Python](getting-started.python.md)

1. 按照[此处](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps/python/README.md)描述的说明，运行 [Python 示例应用程序](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps/python) 

------
#### [  Node.js  ]

1. 按照中的说明克隆[ LiveAnalytics 示例应用程序的 GitHub 存储库 Timestream](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps)。[GitHub](https://docs.github.com/en/free-pro-team@latest/github/creating-cloning-and-archiving-repositories/cloning-a-repository)

1. 按照入门中所述的说明将 AWS 软件开发工具包配置为 LiveAnalytics 连接到 Amazon Timestream。[Node.js](getting-started.node-js.md)

1. 按照[此处](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps/js/README.md)描述的说明，运行 [Node.js 示例应用程序](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps/js) 

------
#### [  .NET  ]

1. 按照中的说明克隆[ LiveAnalytics 示例应用程序的 GitHub 存储库 Timestream](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps)。[GitHub](https://docs.github.com/en/free-pro-team@latest/github/creating-cloning-and-archiving-repositories/cloning-a-repository)

1. 按照入门中所述的说明将 AWS 软件开发工具包配置为 LiveAnalytics 连接到 Amazon Timestream。[.NET](getting-started.dot-net.md)

1. 按照[此处](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps/dotnet/README.md)描述的说明，运行 [.NET 示例应用程序](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps/dotnet) 

------