Tag Archives: Spring Data

Previously we set up two EntityManagers in the same application. One for the reads and one for the writes. Now it’s time to create our read repository. The read only repository will use the secondary read only EntityManager. In order to make it a read only repository, it is essential not to have any save and persist actions. 01 02 ...

Our previous setup works as expected. What we shall do now is to get one step further and configure two separate entity managers without affecting the functionality we achieved previously. The first step would be to set the default entity manager configuration to a primary one.This is the first step 01 02 03 04 05 06 07 08 09 10 ...

In our previous post we set up multiple PostgreSQL instances with the same data.Our next step would be to configure our spring project by using the both servers. As stated previously we shall use some of the code taken from the Spring Boot JPA post, since we use exactly the same database. This shall be our gradle build file 01 ...

This is a series of blog posts on our quest to increase our application’s performance by utilizing read replicas. For this project our goal is to set up our spring data application and use read repositories for writes and repositories based on read replicas for reads. In order to simulate this environment we shall use PostgreSQL instances through Docker. The ...

I have recently written several posts about Kotlin’s delegation. In doing so, I realised a useful way to apply it to Spring Data repositories. Which would allow Spring Data to continue sprinkling some magic while providing a route for customisation. The code shown in this post is in Kotlin, but is still relevant to Java. This post uses R2DBC, but ...

This post details a naive implementation of streaming updates from a database to any other components that are interested in that data. More precisely, how to alter a Spring Data R2DBC repository to emit events to relevant subscribers. A little bit of background knowledge of R2DBC and Spring will be helpful for this post. My previous writings, Asynchronous RDBMS access ...

Not too long ago, a reactive variant of the JDBC driver was released. Known as R2DBC. It allows data to be streamed asynchronously to any endpoints that have subscribed to it. Using a reactive driver like R2DBC together with Spring WebFlux allows you to write a full application that handles receiving and sending of data asynchronously. In this post, we ...

Learn Pagination and Sorting with Spring Data JPA with code examples. Understand how to get Paginated and Sorted results using Springs PagingAndSortingRepository interface. 1 Overview While dealing with large amount of data the lazy processing is often essential. Even if a service returns a huge amount of data the consumer is less likely using it. Consider a shopping website, where ...

1. Overview For high-availability with Redis, we can use Spring Data Redis’ support for Redis Sentinel. With Sentinel, we can create a Redis deployment that automatically resists certain failures. Redis Sentinel also provides other collateral tasks such as monitoring, notifications and acts as a configuration provider for clients. At a high level, Sentinel’s capabilities are: Automated failover. When a master ...