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

The most significant change is an improved naming scheme for CrudRepository. We extracted the store-specific CustomConversions to Spring Data Commons and introduced bi-directional type-based converters to maintain a single API for common conversion code. You can now define converters using lambdas. You need to adopt your code to the renamed methods. MongoDB ships with a renamed annotation for reactive tailable cursors, we renamed @InfiniteStream to @Tailable. Users of Spring Data for Apache Cassandra can now upgrade to a higher Guava version as we upgraded to Datastax driver 3.2.0.

With this release, we ship over 100 tickets fixed. A high-level overview of what has been changed can be found in our release wiki.

We’re looking forward to your feedback!

• Spring Data Commons 2.0 M3 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data JPA 2.0 M3 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data KeyValue 2.0 M3 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data for Apache Cassandra 2.0 M3 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data for Apache Solr 3.0 M3 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Gemfire 2.0 M3 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Neo4j 5.0 M3 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data MongoDB 2.0 M3 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data LDAP 2.0 M3 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Envers 2.0 M3 - Artifacts - JavaDocs - Documentation
• Spring Data REST 3.0 M3 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Redis 2.0 M3 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Elasticsearch 3.0 M3 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Couchbase 3.0 M3 - Artifacts - JavaDocs - Documentation - Changelog

Should you happen to be at JAX Conference 2017, visit us there and get a broader overview on Spring Data Kay on Wednesday.