Spring Data Neo4j is a Spring Data community project that is maintained and developed by Neo4j, Inc. On behalf of the team working on the module at Neo4j, we are happy to share their insights about recent changes and new features shipped with the 2020.0.0 release.

Neo4j users who use Spring Boot 2.3 require special attention because the configuration infrastructure for Spring Data Neo4j 6.0 has changed in an incompatible way.

That said, not only has the configurational infrastructure changed, but the whole project changed.

The module has some history and went through several major changes. For…

Hi, Spring fans! In this episode Josh Long (@starbuxman) talks to Dan North (@tastapod), creator of BDD, optimizer of teams and all around legend.

This release is a major milestone in Spring's R2DBC support. Spring support for R2DBC started as an experimental project two years ago to evaluate how a reactive SQL integration might look. With this release, Spring Data R2DBC underwent a major refactoring by moving several components into a dedicated spring-r2dbc module and deprecating components that are provided by the Spring Framework. Besides that change, Spring Data R2DBC ships with the following most notable changes:

• Add lifecycle callbacks through the EntityCallback API
• Reactive auditing
• Pass-through of enum values and Postgres Geo types
…

Hi, Spring fans! Can you believe it's already November 17th, 2020!? We're weeks away from Thanksgiving here in the US and then the end-of-year holidays. I, for one, can not believe it. You know what else is pretty wild? The first week of January will be ten years of writing This Week in Spring!

I've got a pretty busy appearance schedule between now and the end of the year though. I'd love to see you at any of these events.

And, with all that out of the way, we've got a ton of stuff to get to this week so let's dive right in!

• A Bootiful Podcast: Spring Boot 2.4 and living legend, CTO, and friend John Davies
• A Seal of Approval: Project Pinniped
• AWS Announces Amazon MQ Will Support RabbitMQ
• Biased locking Obsoletion
• BuildKit CLI for kubectl: A New Way to Build Container Images
• Case Study: Elasticsearch sink
• Episode 7 “The Vector API” with John Rose and Paul Sandoz
• Implement a rolling index strategy with Spring Data Elasticsearch 4.1 | sothawo
• Matt Raible looks at ways to secure your applications with Spring Security
• New Project Lanai Early Access build
• OpenJDK Projects Give Rise to Innovations in JDK 15 and Beyond
• …

This article is part of a blog series that explores the newly redesigned Spring Cloud Stream applications based on Java Functions. In this post, we will look at the Elasticsearch sink that allows us to index records in Elasticsearch, and its corresponding Consumer function.

Here are all the previous parts of this blog series.

• Introducing Function Based Streaming Applications

• Function Composition with Streaming Applications

• How to Build a Supplier and Source Application

• How to Build a Consumer and Sink Application

• Build and Run a Simple Stream Application

• Case Study: HTTP Request Function and Processor

• Case Study: File Source and MongoDB Sink

• Case Study: Relational Database Source and File Sink

• Case Study: Remote File Ingest with Spring Cloud Data Flow

• Case Study: Aggregator Function and Processor

…

The Spring Data MongoDB 3.1 release is one of the modules that highly benefited from the recent changes in the Spring Data Commons module, by leveraging the infrastructure built there to bring reactive features like auditing and SpEL. The following snippet gives you an impression of what this means for declarative MongoDB queries using SpEL:

@Query("{ 'supervisor' : ?#{ hasRole('ROLE_ADMIN') " +
  "? new Document('$regex', '*') : principal.name } }")
Flux<Person> findAllFilteredByRole();

@EnableReactiveMongoAuditing uses the common infrastructure so you can keep track of changes easily.

…

Hi Spring fans! Welcome to another installment of a Bootiful Podcast! In this installment Josh Long (@starbuxman) looks at the week that was, talks about the JUST released Spring Boot 2.4, and then talks to industry legend and larger-than-life friend John Davies (@jtdavies)

Hi, Spring fans! Welcome to another installment of This Week in Spring! It's November 10th, 2020, as I write this and I, for one, can not believe that we're closer to 2021 than we are to 2019 at this point. That's insane. Time has absolutely rocketed by in some senses and stood utterly still in others. Odd year, this one.

I hope you're all doing well! I'm at the Reactive Summit today (virtually, of course). This afternoon I was on a wonderful panel with all sorts of folks from around the ecosystem. And soon, around 17:30 or so, if memory serves, I'll be speaking about RSocket and its use in…

As part of the 2020.0.0 version of Spring Data, we released Spring Data JDBC 2.1. This article presents the four most interesting changes in this version.

• Use @Value on entity constructor arguments.
• RowMapper and ResultSetExtractor as beans.
• Improved performance for entities.
• Support of Oracles temporal types.

#Use @Value on Entity Constructor Arguments

In some cases, not all the data that goes into an entity comes from the ResultSet of a query. You now may provide an @Value annotation with a SPeL expression that is evaluated, and the result is passed as an argument upon construction of the…