The following tutorial walks you through how to use Spring Boot apps with ScyllaDB for time series data, taking advantage of shard-aware drivers and prepared statements. It’s a shorter version of a ScyllaDB University (self-paced free training) lab.
About This Spring Boot and Time Series Data Tutorial
This tutorial provides a step-by-step demonstration of how to use the popular Spring Boot framework to build a sample stock application. ScyllaDB is used to store the stock price (time series data). The application has several APIs that support the create, get, and delete operations on stocks with the date and price. Additionally, an HTTP API tool, Postman, is used to interact with our application and to test the API functionality. By the end of the tutorial, you’ll have a running Spring Boot app that serves as an HTTP API server with ScyllaDB as the underlying data storage. You’ll be able to create stocks with prices and dates and get a list of stock items. And you’ll learn how ScyllaDB can be used to store time series data. Note that ScyllaDB University offers a number of videos with additional background that are helpful for this lesson. For example: