Sample application - Amazon Timestream
Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

For similar capabilities to Amazon Timestream for LiveAnalytics, consider Amazon Timestream for InfluxDB. It offers simplified data ingestion and single-digit millisecond query response times for real-time analytics. Learn more here.

Sample application

Timestream ships with a fully functional sample application that shows how to create a database and table, populate the table with ~126K rows of sample data, and run sample queries. Follow the steps below to get started with the sample application in any of the supported languages:

Java

  1. Clone the GitHub repository Timestream for LiveAnalytics sample applications following the instructions from GitHub.

  2. Configure the Amazon SDK to connect to Timestream for LiveAnalytics following the instructions described in Getting Started with Java.

  3. Run the Java sample application following the instructions described here

Java v2

  1. Clone the GitHub repository Timestream for LiveAnalytics sample applications following the instructions from GitHub.

  2. Configure the Amazon SDK to connect to Amazon Timestream for LiveAnalytics following the instructions described in Getting Started with Java v2.

  3. Run the Java 2.0 sample application following the instructions described here

Go

  1. Clone the GitHub repository Timestream for LiveAnalytics sample applications following the instructions from GitHub.

  2. Configure the Amazon SDK to connect to Amazon Timestream for LiveAnalytics following the instructions described in Getting Started with Go.

  3. Run the Go sample application following the instructions described here

Python

  1. Clone the GitHub repository Timestream for LiveAnalytics sample applications following the instructions from GitHub.

  2. Configure the Amazon SDK to connect to Amazon Timestream for LiveAnalytics following the instructions described in Python.

  3. Run the Python sample application following the instructions described here

Node.js

  1. Clone the GitHub repository Timestream for LiveAnalytics sample applications following the instructions from GitHub.

  2. Configure the Amazon SDK to connect to Amazon Timestream for LiveAnalytics following the instructions described in Getting Started with Node.js.

  3. Run the Node.js sample application following the instructions described here

.NET

  1. Clone the GitHub repository Timestream for LiveAnalytics sample applications following the instructions from GitHub.

  2. Configure the Amazon SDK to connect to Amazon Timestream for LiveAnalytics following the instructions described in Getting Started with .NET.

  3. Run the .NET sample application following the instructions described here