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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's Migration from Jira to GitHub Issues

Spring Data has migrated its entire history of issues from Jira to GitHub. The goal of this blog post is to give you context and details about this migration.

Migration Details

Spring Data issues have been managed for over ten years in Jira. Today, every issue and every comment has been imported into GitHub. There is a lot to consider in such a move, so let’s take a tour and go over some details.

Spring Data consists of 19 individual projects, each one of which is associated with its own issue tracker namespace. Four projects (Spring Data Build, BOM, Envers, and R2DBC) have been using GitHub. One project (Spring Data GemFire) was not migrated as it is in maintenance mode and is going end of life soon.
During this migration, we migrated almost 15,000 tickets from 14 Jira projects into 14 GitHub repositories.

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Spring Vault 2.3.0 RC1 available

On behalf of the community, I’d like to announce the availability of the first Spring Vault release candidate 2.3.0-RC1.

This release contains a series of changes:

  • Updated SecretLeaseContainer endpoints using now /sys/leases instead of /sys/revoke and /sys/renew.

  • Introduction of AuthenticationStepsOperator which allows non-blocking access to Resource. This change also introduces a reloading capability for authentication mechanisms for PCF and Kubernetes authentication to obtain the latest credentials when attempting a Vault login.

  • Support for KV Patch in VaultTemplate

  • Upgrade to Spring Framework 5.3, Spring Data 2020.0, and Project Reactor 2020.0

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Spring Data 2020.0.2, Neumann-SR6, and Moore-SR12 available

On behalf of the Spring Data team, I’d like to announce the availability of the 2020.0.2, Neumann-SR6, and Moore-SR12 service releases. These releases pick up Spring Framework 5.3.2 and 5.2.12 and will be included in the upcoming Spring Boot releases. 2020.0.2 ships with 58 tickets fixed, Neumann-SR6 ships with 36 tickets fixed, and, finally, Moore-SR12 ships with 26 tickets fixed.

The releases ship with selected improvements, bug fixes, and dependency upgrades.

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

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First milestone of Spring Data 2021.0.0 released

On behalf of the team and everyone who contributed, I’d like to announce the first milestone of the Spring Data 2021.0.0 release train. This release ships with over 100 tickets fixed. This Spring Data release is the next release to use calver.

The most notable new features are:

  • Support for deleteAllById(Iterable<ID>) in CrudRepository and ReactiveCrudRepository
  • Usage of Prepared Statements for CassandraTemplate and repository queries, including index-based parameter bindings
  • Upgrade to Elasticsearch 7.10.0
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Spring Data 2020.0 - New and Noteworthy in Spring Data for Apache Cassandra 3.1

Spring Data 2020.0.0 ships with Spring Data for Apache Cassandra 3.1. This release ships with numerous enhancements that refine existing functionality and introduce support for selected Cassandra 4 features:

  • Reactive auditing
  • Reactive SpEL support in @Query query methods.
  • Configuration of the keyspace per Statement through CqlTemplate and QueryOptions.
  • Revised CqlOperations with new queryForStream(…) methods returning a Stream with transparent pagination.
  • DataClassRowMapper to map Cassandra results to data classes via constructor creation/bean properties
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Spring Data 2020.0 - New and Noteworthy in Spring Data R2DBC 1.2

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
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Spring Data 2020.0.1 released

On behalf of the team, I’m pleased to announce Spring Data service release 2020.0.1. This service release is built on top of Spring Framework 5.3.1 and Reactor 2020.0.1. It contains mostly dependency upgrades and fixes.

Spring Data 2020.0.1 ships 34 improvements and fixes.

This release will be picked up by the upcoming Spring Boot 2.4.0 release for your convenience.

To round things off, here are the links to the individual modules along with their documentation:

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Spring Data 2020.0.0 goes GA

Dear Spring community,

On behalf of the Spring Data team and our contributors, it is my pleasure to announce that Spring Data 2020.0.0 is generally available from Maven Central.

Spring Data 2020.0.0 (Codename: Ockham) is the first release train using the changed versioning scheme, previous release trains were identified by name, such as Neumann-RELEASE.

This release train includes several themes. Here’s a summary of the most important ones:

  • Switch Release Train version to calver (2020.0.0) and introduce spring-data-bom artifact.
  • Improve Graal Native Image experience.
  • Reactive SpEL context extensions and auditing support.
  • Include SDN-RX as Spring Data Neo4j 6.0.
  • Oracle dialect for Spring Data JDBC.
  • Refactor Spring Data R2DBC on top of Spring Framework’s R2DBC module.
  • Upgrade to Redis 6.0 including support ACL authentication and enhanced support for Sorted Set commands.
  • Support for RxJava 3.
  • De-lombok production code.
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