Spring Data Release Train Hopper SR2 Released
Spring Data Release Train Hopper SR2 Released
The latest Spring Data release train is now out! Come find out what's a part of this release!
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On behalf of the Spring Data team I’d like to announce the availability of the second service release of the Spring Data Hopper release train. The release ships 103 issues fixed. We fixed a couple of bugs in the area of repository projections, especially for JPA users and introduce Hibernate 5.2 compatibility with this release (also already back-ported to the Gosling release train for inclusion in the upcoming service release). Hopper SR2 is a recommended upgrade for all Hopper users and also users of previous release trains.
Here are the released modules:
- Spring Data Cassandra 1.4.2 - Artifacts - JavaDocs - Documentation - Changelog
- Spring Data Commons 1.12.2 - Artifacts - JavaDocs - Documentation - Changelog
- Spring Data Couchbase 2.1.2 - Artifacts - JavaDocs - Documentation - Changelog
- Spring Data Elasticsearch 2.0.2 - Artifacts - JavaDocs - Documentation - Changelog
- Spring Data Envers 1.0.2 - Artifacts - JavaDocs - Documentation
- Spring Data Gemfire 1.8.2 - Artifacts - JavaDocs - Documentation - Changelog
- Spring Data JPA 1.10.2 - Artifacts - JavaDocs - Documentation - Changelog
- Spring Data KeyValue 1.1.2 - Artifacts - JavaDocs - Documentation - Changelog
- Spring Data MongoDB 1.9.2 - Artifacts - JavaDocs - Documentation - Changelog
- Spring Data Neo4j 4.1.2 - Artifacts - JavaDocs - Documentation - Changelog
- Spring Data REST 2.5.2 - Artifacts - JavaDocs - Documentation - Changelog
- Spring Data Redis 1.7.2 - Artifacts - JavaDocs - Documentation - Changelog
- Spring Data Solr 2.0.2 - Artifacts - JavaDocs - Documentation - Changelog
The release will be included in the upcoming Spring Boot 1.4.0 RC1 release which should make the upgrade a non-issue. If you’re using the BOM, make sure you upgrade to Hopper-SR2.
In case you missed it: a huge chunk of the program for this year’s SpringOne Platform conference is already live on the event website. We’re going to cover data related topics from a variety of angles. A discounted ticket price is still offered until July 1st, so use the chance to save a couple of bucks (not bugs!) and register.
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