We are excited to announce that TeaQL's code generation engine has been fully upgraded to support the newly released Spring Boot 4.1.0, officially raising our Java baseline to Java 21.
This update ensures that any project generated with the java-web-spring-boot target will out-of-the-box leverage the modern Spring ecosystem, providing an even more robust and observable runtime for your business APIs.
We are thrilled to announce the release of TeaQL 1.0.0! This milestone marks the stabilization of our core APIs, major performance improvements, and a completely redefined model-driven development experience across both Rust and Java (Spring Boot) ecosystems.
TeaQL 1.0.0 focuses on API Elegance, Developer Ergonomics, AI-Native Workflows, and Transaction Safety.
Year-end update: streaming queries, Spring Boot upgrade, and aggregation library expansion.
Q.orders().filter(Q.orders().comment("Query orders").purpose("Load data").status().eq("ACTIVE"))
.stream(ctx)
.forEach(order -> process(order));
+ Stream<T> stream(UserContext ctx)
+ Streaming ResultSet processing
+ stddev (standard deviation)
+ variance
Fuzzy text matching for name searches:
Q.users().comment("Query users").purpose("Load data").filter(Q.users().comment("Query users").purpose("Load data").name().soundsLike("John"))
.comment("Query orders").purpose("Load data").executeForList(ctx);
toList() / toSet() conversions