MySQL Response to Bugs

I’ve read at times people complaining about the response to bugs, and people bag the support of MySQL on the forums at times.

Well today I logged a bug, not the first and I’m sure it’s not the last. See LAST_INSERT_ID() does not return results for a problem in the latest Connector/J 5.0.3 that was released just recently.

Now it took me about 2 hours to log the bug, and probably at least 2 hours of frustration prior to that. The initial frustration 2 hours was unsuccessful debugging of what I was sure was valid code (and it was near midnight last night). The second 2 hours today was testing the problem between two environments, different database versions and different Connector/J versions, and providing a simple reproducable case of said problem.

So the timeline of the Bug in the MySQL Bug Tracking System.

  • [1 Aug 5:40] – Logged Bug
  • [1 Aug 5:58] – Initial feedback, something for me to confirm, bug “in Progress”
  • [1 Aug 6:04] – Confirmation that problem is new JDBC-compliant features, and the issue was a backwards-compatible option
  • [1 Aug 7:14] – Patch submitted to correct the issue
  • [1 Aug 7:28] – My response to initial feedback, as I hadn’t checked my mail for at least an hour, and then I had to go find the JSTL source code and check

So let me summarise that.

For aS3 (Non-critical) Bug, it took 18 mins from logging for MySQL AB to acknowledge and review the problem, 24 mins from logging to get confirmation of compatibility issue, and 94 mins from logging to have a patch submitted that addressed this and probably some more compatibility issues across 7 source files.

Good Job Mark Matthews. Where do I send the comments for the “MySQL AB employee of the month” award.

Tagged with: Databases General MySQL Open Source

Related Posts

DataEngBytes Sydney Overview

I have just returned from my first DataEngBytes conference in Sydney. Here is a quick summary on my thoughts for the event. I plan to go into more detail on great points from presentations in later posts.

Read more

MITRE ATLAS - A 2025 Review

The MITRE ATLAS Matrix provides a working knowledge base of adversary tactics, techniques, and real-world case studies specifically for Artificial Intelligence (AI) and Machine Learning (ML) systems. It adapts the established MITRE ATT&CK adversary tactics and techniques matrix which is the standard reference for traditional IT cybersecurity.

Read more

Foundational Frameworks for GenAI Security Analysis

Three frameworks form the analytical foundation of this series’ threat analysis, selected for their complementary coverage of the GenAI security landscape and their broad adoption across enterprise security practices. The MITRE Adversarial Threat Landscape for AI Systems (MITRE ATLAS) maps tactics and techniques specific to AI systems.

Read more