Message-ID: From: "Sanne (@Sanne)" To: "pgjdbc/pgjdbc" Date: Wed, 02 Jul 2025 15:50:49 +0000 Subject: Re: [pgjdbc/pgjdbc] issue #3693: Overhead of uncontended use of ResourceLock In-Reply-To: References: List-Id: X-GitHub-Author-Login: Sanne X-GitHub-Comment-Id: 3028381299 X-GitHub-Comment-Type: issue_comment X-GitHub-Edited-At: 2025-07-02T15:51:55Z X-GitHub-Issue: 3693 X-GitHub-Repo: pgjdbc/pgjdbc X-GitHub-Type: comment X-GitHub-Url: https://github.com/pgjdbc/pgjdbc/issues/3693#issuecomment-3028381299 Content-Type: text/plain; charset=utf-8 hi @davecramer , sure among other JVM based platforms there's Vert.x (fully reactive, so can't use JDBC) and the Quarkus + Hibernate Reactive stack (also by my team, based on the same Vert.x driver). - https://vertx.io/docs/vertx-pg-client/java/ It's performing extremely well. Our figures with Hibernate Reactive aren't great at the moment because of a design issue in the connection pool: there are novel challenges to solve over a "traditional" pool, but we'll fix them. Personally I'm involved in both the "traditional" stack (blocking) based on JDBC and the alternative models, exploring things. I primarily want the various comparisons to be fair and want both to improve. There are also some extreme contenders on Techempower who have re-implemented everything from scratch. I wouldn't call those "production ready" personally, but by doing so they are setting a very interesting high bar in terms of performance results. I'd love us to be able to match such figures while still offering a reasonable programming model, maintainable and robust.