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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 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:

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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.
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Spring Data Neumann RC2, Moore SR7, and Lovelace SR17

On behalf of the team, I’m pleased to announce Spring Data releases Neumann RC2, Moore SR7, and Lovelace SR17. This triple-feature is built on top of today’s Spring Framework releases 5.2.6 (Neumann and Moore) and 5.1.15 (Lovelace).

Spring Data Neumann RC2 contains 96 new features, improvements, and fixes. Spring Data Moore SR7 ships with 40 fixes and improvements. Finally, Spring Data Lovelace SR17 includes 39 selected fixes.

Spring Data Neumann RC2 ships with numerous improvements and new features. The most interesting amongst these are:

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Spring Data Neumann goes RC1

I’m pleased to announce that Spring Data Neumann has entered the release candidate phase with 86 tickets fixed. This release is the first of two release candidates. This release candidate ships with a series of noteworthy changes:

  • Upgrade to Couchbase SDK 3.
  • Spring Data MongoDB no longer automatically creates indexes from @Indexed annotations by default.
  • The Cassandra module supports configurable naming strategies and ships with a revised data type resolution mechanism.
  • Spring Data Elasticsearch now supports auditing and entity callbacks.
  • Support for query derivation in Spring Data R2DBC.
  • Dialect discovery for Spring Data JDBC, supporting H2, HSQLDB, Postgres, MariaDB, MySQL, and SQL Server.
  • Upgrade to Querydsl 4.3.
  • Ready for JDK 14.
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Spring Data Moore SR6 available now

On behalf of the community, I’m pleased to announce the availability of the Spring Data Moore SR6 service release. This release ships with dependency upgrades and bug fixes in preparation for the upcoming Spring Boot 2.2.6.RELEASE release.

This release ships with 46 tickets fixed and is a recommended upgrade. Finally, here are links to the reference documentation, changelogs, and artifacts of the individual project releases:

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