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Mark Paluch

Mark Paluch

Spring Data Project Lead

Weinheim, Germany

Mark is Software Craftsman, Spring Data Project Lead at Pivotal, and Lead of the Lettuce Redis driver. His focus is now on reactive data integrations and R2DBC.
Blog Posts by Mark Paluch

Spring Data 2020.0.0 goes RC1

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 has entered its release candidate phase by releasing the first of two release candidate releases, available from the milestone repository.
This release ships with 70 tickets fixed. The most notable changes are:

  • Support for Redis 6 ACL and upgrade to Lettuce 6.0 RC2.
  • Migration of core R2DBC support from Spring Data R2DBC to Spring R2DBC.
  • Support the SocketFactory configuration client in Spring Data Geode.
  • Slice query support for Neo4j and a revised API for relationships.
Read more...

Spring Data Neumann SR4, Moore SR10 and Lovelace SR20

On behalf of the Spring Data team, I’m pleased to announce a round of service releases for the Spring Data Neumann, Moore, and Lovelace release trains. Neumann SR4 ships with 43 tickets fixed, Moore SR10 ships with 46 tickets fixed, and, finally, Lovelace SR20 ships with 35 tickets fixed.

The releases ship with mostly bug fixes and dependency upgrades and will be picked up by Spring Boot 2.3.4, 2.2.10, 2.1.17 ( respectively) in the coming days.

Here are the detailed links to each individual artifact and the reference documentation:

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Spring Vault 2.3 M1 available

On behalf of the community, I’d like to announce the availability of the first Spring Vault milestone release 2.3.0-M1 of the 2.3 development line.

Most notable changes in this release are:

  • Support for Vault’s Transform secrets backend. Please note that this is an enterprise feature.

  • A ReactiveVaultEndpointProvider for non-blocking lookup of VaultEndpoint that can be used for reactive service discovery.

  • VaultKeyValueMetadataOperations for Key-Value metadata interaction.

  • Updates to our documentations specifically on how to use Vault’s various secret backends with Spring Vault.

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Spring Data Neumann SR3 released

On behalf of the Spring Data team, I’m pleased to announce the availability of the third service release of the Spring Data Neumann release train. Neumann SR3 ships with 34 tickets fixed.

This release ships with mostly bug fixes and dependency upgrades and will be picked up by Spring Boot 2.3.3 in the coming days.

Here are the detailed links to each individual artifact and the reference documentation:

Read more...

Spring Data 2020.0.0-M2 released

On behalf of the Spring Data team I’m delighted to announce the second milestone of the 2020.0.0 release train (codename “Ockham”). This release ships almost 120 tickets fixed! The most important new features are:

  • Support for reactive SpEL context extensions.
  • Support for reactive auditing in Cassandra, Elasticsearch, MongoDB, and R2DBC.
  • Integration of Spring Data Neo4j 6.0, which is a rewrite of the module without relying on Neo4j OGM.
  • Refactoring of Spring Data R2DBC on top of Spring Framework’s R2DBC module.
  • Oracle dialect for Spring Data JDBC.
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Spring Data Neumann SR2, Moore SR9, and Lovelace SR19 available now

On behalf of the team, I’m pleased to announce a Spring Data release triple feature: Neumann SR2, Moore SR9, and Lovelace SR19. These service releases are built on top of Spring Framework releases 5.2.8 (Neumann and Moore) and 5.1.17 (Lovelace) and ship with mostly dependency upgrades and fixes, along with a few selected improvements.

Spring Data Neumann SR2 contains 70 improvements and fixes. Spring Data Moore SR9 ships with 35 fixes and improvements. Last, Spring Data Lovelace SR19 includes 23 selected fixes.

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First milestone of Spring Data 2020.0 available

On behalf of the Spring Data team, I’m happy to announce the first milestone of the 2020.0 (Code name “Ockham”) release train, 2020.0.0-M1. This release ships with over 120 tickets fixed. This Spring Data release is the first release using calver as an update to the release train version scheme.

The most notable new features are:

  • Support for RxJava 3
  • Introduction of org.springframework.data:spring-data-bom, which replaces org.springframework.data:spring-data-releasetrain

You can find a curated changelog in our release train wiki or skim through a full list of changes in JIRA.

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Spring Data Neumann SR1, Moore SR8, and Lovelace SR18 available now

On behalf of the team, I’m pleased to announce Spring Data releases Neumann SR1, Moore SR8, and Lovelace SR18. Those service releases are built on top of Spring Framework releases 5.2.7 (Neumann and Moore) and 5.1.16 (Lovelace) and ship with mostly dependency upgrades and fixes, along with a few selected improvements.

Spring Data Neumann SR1 contains 59 improvements and fixes. Spring Data Moore SR8 ships with 55 fixes and improvements. Finally, Spring Data Lovelace SR18 includes 38 selected fixes.

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What's new in Spring Data Elasticsearch 4.0

This article continues our blog post series on What’s new in Spring Data Neumann. Today’s installment explains New and Noteworthy in Spring Data Elasticsearch. This blog post was written by P.J. Meisch who maintains the Spring Data Elasticsearch module.

This release addresses more than 140 issues, with more than 30 bugs fixed.

Spring Data Elasticsearch now uses Elasticsearch 7, 7.6.2 in particular. Elasticsearch clusters running on 6.x versions are not supported anymore. The ElasticsearchTemplate class is deprecated as it uses the TransportClient to access Elasticsearch, which itself is deprecated since Elasticsearch version 7.+ Users should switch to ElasticsearchRestTemplate or ReactiveElasticsearchTemplate.

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Spring Data Neumann goes GA

Dear Spring community,

On behalf of the Spring Data team and many contributors, it is my pleasure to announce that Spring Data Neumann is generally available from repo.spring.io as well as Maven Central! This release ships with over 650 features, bugfixes and improvements containing numerous major version and driver upgrades.

This very tightly curated overview summarizes the most significant changes:

  • Repository support for Kotlin Coroutines.
  • Upgrade to MongoDB Driver 4.
  • Upgrade to Cassandra Driver 4.
  • Upgrade to Couchbase SDK 3
  • Upgrade to Querydsl 4.3
  • Upgrade to Elasticsearch 7 and fully revise Template API for consistent Elasticsearch usage.
  • Inclusion of Spring Data R2DBC into the release train.
  • Merge of Spring Data for Apache Geode and Spring Data GemFire into a single Spring Data Geode module.
  • Joda-Time and ThreeTenBackport support deprecated.
Read more...