Spring Team
Mark Paluch

Mark Paluch

Spring Data Committer

Weinheim, Germany

Mark is Software Craftsman, Spring Data Engineer at Pivotal, a member of the CDI 2.0 expert group, and Lead of the lettuce Redis driver. He has been into developing Java server-, frontend-, and web applications for over 12 years and his focus is now on software architecture, Spring and Redis clients.
Blog Posts by Mark Paluch

Spring Data Lovelace GA released

On behalf of the Spring Data team, it’s my pleasure to announce the general availability of Spring Data Lovelace. This release train ships on top of the just-released Spring Framework 5.1 GA. You can easily consume Spring Data Lovelace with next week’s Spring Boot 2.1 M4 release. Spring Data Lovelace ships with a number of major features, improvements, and bugfixes. The most notable topics are:

  • Support for immutable objects
  • Deferred JPA repository initialization
  • Support for MongoDB 4.0 Client Sessions and Transactions
  • New Spring Data JDBC module
  • Apache Cassandra mapping improvements for Map and tuple types, Lifecycle Callbacks, and Kotlin Extensions
  • Replica Reads with Spring Data Redis
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Spring Data Ingalls SR15 and Kay SR10 released

On behalf of the Spring Data team, I’d like to announce the availability of the Ingalls SR15 and Kay SR10 maintenance releases. Kay SR10 ships on top of the just-released Spring Framework 5.0.9. Spring Boot 2.0.5 is going to pick up Kay SR10 for your convenience. Ingalls SR15 will be picked up by Spring Boot 1.5.16. Both releases ship with mostly bugfixes and a few dependency upgrades.

Ingalls SR15 ships with 40 tickets fixed and Kay SR10 contains 75 issues fixed.

Also, make sure you register for this year’s SpringOne Platform (Sept. 24th-27th, Washington, D.C.) to learn about the latest additions in Spring Data and even get a preview of the features planned for the next release train. The entire team will be on site and happy to answer questions and take feedback.

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Spring Vault 2.1 goes RC

On behalf of the community, I’d like to announce the availability of the Spring Vault 2.1 release candidate. Spring Vault 2.1 requires JDK 8 or higher and specifically supports JDK 11 as the next long-term support release. This release ships with 15 tickets fixed along with some refinements for Java 9 to 11. The most notable changes are:

  • Support for Azure authentication with managed service instances on VMs.
  • GCP IAM authentication support on behalf of service accounts.

This release is compatible with Vault versions from 0.5.2 up to 0.11.1.

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Spring Vault 2.1 M1 available now

On behalf of the community, I’m pleased to announce the availability of the first Spring Vault 2.1 milestone. This release ships with 47 tickets fixed and the highlights of this first milestone include:

  • Support for Google Cloud Compute and Google Cloud IAM authentication mechanism support.
  • Integration of Vault’s versioned Key-Value backend through VaultKeyValueOperations
  • Template API for Vault’s wrapping endpoints.
  • Support of full pull mode in reactive AppRole authentication. The limitation of previous versions has been lifted now.
  • Improved Exception hierarchy for Vault login failures.
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Spring Data Ingalls SR14 and Kay SR9 released

On behalf of the Spring Data team, I’d like to announce the availability of the Ingalls SR14 and Kay SR9 release. Kay SR9 ships on top of the just-released Spring Framework 5.0.8. Spring Boot 2.0.4 is going to pick up Kay SR9 for your convenience. Ingalls SR14 will be picked up by Spring Boot 1.5.15. Both releases ship with mostly bugfixes and a few dependency upgrades.

Ingalls SR14 ships with 28 tickets fixed and Kay SR9 contains 59 tickets fixed.

To round things off, here are the links to the changelogs, documentation, and artifacts:

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Spring Data Lovelace RC1 available

On behalf of the Spring Data team, it is my pleasure to announce the availability of the Lovelace RC1 release. The first release candidate ships on top of the just-released Spring Framework 5.1 RC1 and in preparation of the upcoming Spring Boot 2.1 M1 release.

This release candidate ships with 194 tickets fixed and contains the following notable changes:

  • Support for immutable objects.
  • Upgrade of Querydsl for MongoDB to use the Document API, letting you publish lifecycle events and participation in managed transactions.
  • Reactive Slice query support for Apache Cassandra.
  • Kotlin extension for Apache Cassandra.
  • Reactive SCAN support for Redis.
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Spring Data Ingalls SR13 and Kay SR8 released

On behalf of the Spring Data team, I’d like to announce the availability of the Ingalls SR13 and Kay SR8 service releases. The Ingalls service release ships on top of the just-released Spring Framework 4.3.18 and in preparation of the upcoming Spring Boot 1.5.14 release. The Kay service release picks up Spring Framework 5.0.7 and will be picked up by Spring Boot 2.0.3, for your convenience.

Both releases ship with 119 tickets fixed in total and are recommended upgrades to all users of the Ingalls and Kay release trains. You can find all details within the linked changelogs.

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Spring Data Ingalls SR12 and Kay SR7 released

On behalf of the Spring Data team, I’d like to announce the availability of the Ingalls SR12 and Kay SR7 service releases. Both releases pick up the just-released Spring Framework versions 4.3.17 and 5.0.6, respectively. The upcoming Spring Boot 1.5.13 will pick up Ingalls SR12, and Spring Boot 2.0.2 picks up Kay SR7 for your convenience.

Both releases ship with over 100 tickets fixed in total and are recommended upgrades to all users of the Ingalls and Kay release trains. You can find all the details within the linked changelogs.

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Spring Data Lovelace M2 released

On behalf of the Spring Data team, I’d like to announce the availability of the second milestone of the Lovelace release train.

This release ships with updates for all store modules that contain new features, improvements, and bug fixes. Notable changes include:

  • MongoDB 3.6 support for Change Streams, $jsonSchema, and Client Sessions (in preparation for MongoDB Transactions).
  • Apache Cassandra mapping improvements for Map and Tuple Types, along with newly introduced Lifecycle Callbacks.
  • Upgrade to Apache Solr 7.
  • Improved Connection Handling for reactive Redis and static Master/Slave use.
  • SCAN support for Redis Cluster.
  • List support for Spring Data JDBC.
  • Composable repositories support via CDI.
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