Spring Data in 2023
summary
Covers concrete Spring Data 2023 changes: Micrometer integration instruments JDBC/JPA/R2DBC calls (default 10% sampling) to show which queries cost time; Spring Data JDBC can now emit schema generation to Liquibase change sets and offers a first-pass single-query loading for aggregates that collapses many SELECTs into one; introduces a scroll/keyset API for efficient large-result paging, MongoDB client-side field encryption and reactive bulk ops, and upcoming 2023.1 items like Kotlin inline value classes and R2DBC/DB-specific fixes.
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chapters (10)
- 0:00Introduction to Spring Data
- 1:30JPA vs JDBC vs R2DBC
- 7:10New features in Spring Data JPA
- 7:33Spring Data JDBC updates
- 12:33Observability with Micrometer
- 17:09Key-based pagination
- 24:52NoSQL improvements in MongoDB
- 28:05Spring Data 2023.1 features
- 32:31Future of Spring Data
- 35:17Q&A and resources
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