This article introduces six Spring Boot approaches for JDBC data access—including JdbcTemplate, NamedParameterJdbcTemplate, JdbcClient, SimpleJdbcInsert/Call, Spring Data JDBC repositories, and JdbcAggregateTemplate—each illustrated with code samples and usage notes for Spring Boot 3.5.0.
The article critically examines the promise of a universal Java data‑access API like dbVisitor, contrasts it with specialized ORM solutions such as Jimmer, and highlights the lightweight JdbcClient approach, while considering the impact of AI‑generated SQL on traditional ORM relevance.
The article critiques the hype around unified Java data‑access libraries like dbVisitor, compares them with purpose‑built ORM Jimmer, and argues that in the AI era lightweight tools such as Spring Boot's JdbcClient may replace traditional ORMs altogether.
This article introduces SpringBoot 3.2's JdbcClient, explains how to add the dependency, inject it, and demonstrates fluent‑API query and insert operations—including positional, named, map‑based parameters and custom RowMapper—showing how to perform CRUD without heavyweight ORM frameworks.
This article introduces Spring Boot 3.2's new JdbcClient, explains its fluent API style, shows how to add the dependency, inject it, and perform various query and insert operations with code examples, highlighting its advantages over traditional ORM frameworks.
This guide introduces Spring Boot 3.2's new JdbcClient, explains how to add the dependency, inject it, and perform fluent, chainable CRUD operations—including queries by ID, custom conditions, named parameters, map parameters, row mapping, and inserts—while highlighting its advantages over traditional ORM tools.
This guide walks through Spring Framework 6.1's new JdbcClient API, showing how to define a Bookmark entity, create the corresponding MySQL schema, perform fluent CRUD operations, and verify them with Testcontainers‑based integration tests in a Spring Boot 3.2 project.
