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.

…

Spring Data 2020.0, based on Spring Framework 5.3, is out and with it, a ton of new features across the various stores, which are covered by the individual modules. While posting highlights along with the milestone announcements, we wanted to give you a more detailed description of the new features in a series of blog posts. These posts will cover, among other things:

• Reactive Context Access features in Data Commons.
• Lifecycle callbacks and baselining to Spring R2DBC in R2DBC.
• General Repository and store-specific Redis Cache Metrics.
• Neo4J reactive repositories.
• Paging repository APIs for Spring Data for Apache Geode.
• Geoshape, index, and reactive search improvements for Spring Data Elasticsearch.
• Partial filter and aggregation hints in MongoDB.
• @Bean row mappers for the JDBC module.
• Per-statement key spaces definition for the Apache Cassandra abstraction.
• Declarative Couchbase N1QL queries.
…

Dear Spring community,

On behalf of the Spring Data team and everyone who contributed, it’s my pleasure to announce that Spring Data 2020.0.0 RC2 is available from the milestone repository. This release ships with 87 tickets fixed. The most notable changes are:

• PagingAndSortingRepository support for Apache Geode.
• Support for the REVERSERANGEBYLEX command and the KEEPTTL and JUSTID flags in Redis.
• Additional MongoDB aggregation pipeline operators:$unionWith, $function, and $accumulator.
• Cyclic data loading strategy improvements in Neo4j.
• A dedicated Cassandra DataClass row mapper.
• Suspendible repository query methods for use with Kotlin.
…

Spring Data Neumann is the first release to follow the new six-month cadence. The reduced timeframe lets us deliver new features more often, which is key in enabling you to move faster. The release itself ships with a bunch of new stuff and includes important (potentially breaking) upgrades of several store.

Major Version Upgrades

Several store modules, as listed below, required a major version bump due to potentially breaking changes in either their exposed API or their drivers:

• Spring Data JDBC 2.0 (was 1.1 before)
  Here’s the link to the post that explains migration from Spring Data JDBC 1.1 to 2.0.

• Spring Data MongoDB 3.0 (was 2.2 before)

• Spring Data for Apache Cassandra 3.0 (was 2.2 before)

• Spring Data Couchbase 4.0 (was 3.2 before)

• Spring Data Elasticsearch 4.0 (was 3.2 before)
  Learn What’s new in Spring Data Elasticsearch.

…

Update 2022

Spring Data Solr has been discontinued and is currently only maintained in its current version for support reasons until early 2023 at which point it is going to be moved to the Spring Attic entirely. For current users of Spring Data Solr, we recommend looking into alternative search-engine-related modules like Spring Data Elasticsearch.

Original Post

Dear Spring Data Community,

We want to share news with you about the Spring Data for Apache Solr module. After its initial rise as one for the first community-led Spring Data projects and its later inception as one of the core…

Spring Data Moore ships with 16 modules and over 700 tickets completed. It includes tons of improvements and new features across the portfolio and has a strong focus on three major topics: Reactive, Kotlin, and Performance. The release adds features such as declarative reactive transactions and Coroutines/Flow support and comes with up to 60%* faster finder methods.

Let’s start with a look at some of the Reactive features of Moore.

Declarative, reactive transactions

The Lovelace Release introduced early support for reactive transactions in a closure-fashioned style that left some room for…

On behalf of the team I am pleased to announce Spring Data releases Moore RC1 and Lovelace SR9. The new bits build on the most recent Spring Framework releases and will be picked up by Spring Boot 2.2 M4 and 2.1.6 respectively.

Notable new features amongst others are:

• An EntityCallback API for modifying entities before convert or save.
• Multiple OUT parameters in the stored procedure support of Spring Data JPA.
• Declarative aggregations in Spring Data MongoDB.
• Enhanced SSL support and dynamic client port configuration for Gemfire and Apache Geode.

Please find a high-level overview of what has been added in our release wiki. As always, we’re…

Hot on the heels of Spring Framework 5.2 M1 and just in time for the upcoming Spring Boot 2.2 M2 release, on behalf of the Spring Data team, I’m pleased to announce the availability of the third milestone of the Moore release train.

Notable changes amongst many others:

• Flow extensions for Kotlin coroutines in Spring Data for Apache Cassandra & MongoDB.
• MongoDB Json Schema generation from domain Types.
• Support for BINARY storage type in Spring Data JDBC.
• Alternative EntityMapper for Elasticsearch.
• Improved Geospatial query support for Neo4j.
• Smarter Redis cluster topology caching.

Please find a high-level overview of what has been added in our release wiki. As always, we’re looking forward to your feedback! -> @SpringData…

On behalf of the Spring Data team, I'm pleased to announce the availability of the second milestone of the Moore release train.

Notable changes include:

• Support for Kotlin Coroutines in Spring Data MongoDB, Cassandra and Redis.
• Querydsl support for reactive repositories.
• Range type support for derived repository query methods using between for Spring Data MongoDB & Cassandra.
• exists projection in Neo4j repositories.
• Reactive repositories for Spring Data Elasticsearch.
• Pivotal Gemfire and Apache Geode upgrades.
• Upgrade to Spring HATEOAS 1.0 M1.
• ...and numerous features for the JDBC module like direct insert & update methods skipping the is new check.
…

On behalf of the Spring Data team, I’m pleased to announce the availability of the first milestone of the Moore release train.

Notable changes include:

• Support for Streamable wrappers as query method return types.
• Additional Kotlin extensions like CrudRepository.findByIdOrNull(…).
• A Kotlin query DSL for MongoDB (special thanks to Tjeu Kayim)
• Gemfire & Apache Geode upgrades.
• Spatial type support for Neo4j.
• Elasticsearch REST and (initial) reactive client support.
• Support for Redis Streams.
• ...and tons of new stuff for Spring Data JDBC.

Please find a high-level overview of what has been added in our release wiki…