Improving Backend Performance Part 2/3: Using Database Indexes

• vaadin-and-mariadb

  1 1 1.8 Java

Read part 1 of this series if you want to learn how the example application that we'll use here works. You can find the code on GitHub. Also, and if you prefer, I recorded a video version of this article:

• Vaadin

  41 1,766 5.3 Java

  Vaadin 6, 7, 8 is a Java framework for modern Java web applications. (by vaadin)

  

Database indexes are a concern of the developers. They have the potential to improve the performance of search and filter features that use an SQL query in the backend. In the second part of this series of articles, I'll show the impact that a database index has in speeding up filters using a Java web application developed with Spring Boot and Vaadin.

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• Spring Boot

  166 72,682 10.0 Java

  Spring Boot

  

Database indexes are a concern of the developers. They have the potential to improve the performance of search and filter features that use an SQL query in the backend. In the second part of this series of articles, I'll show the impact that a database index has in speeding up filters using a Java web application developed with Spring Boot and Vaadin.

• mariadb-docker

  32 721 8.2 Shell

  Docker Official Image packaging for MariaDB

  

We have a web page with a grid that shows a list of books from a MariaDB database:

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