IDUG EMEA 2026

Switching on the AI Query Optimiser in Db2 v12 is straightforward, but what do you do after you have switched it on? How do you confirm that it is doing what you want? How do you limit its execution to focus on just the tables you need and want? How do you confirm that it is having a positive effect? How do you manage the resources that it uses?
This presentation recounts some of the tricks, pitfalls and gotchas encountered in actual customer implementations of the AI Query Optimiser.

AI agents are transforming enterprise applications, but they need access to trusted, business-critical mainframe data. This session shows how MCP servers enable agents to query up-to-date, replicated Db2 z/OS data from targets like Db2 LUW or watsonx.data. It covers the rationale for agent integration, architecture patterns, implementation steps, and a live demo of an agent working with z/OS data.

There have been so many enhancements in Db2 SQL for developers in the last 3 or 4 versions that many developers have never really taken advantage of. This presentation picks my personal favorites that I believe all developers should get knowledgeable on and possibly applied to current and future applications. Developers should be informed of all of newer features in Db2 and this presentation is a great summary for this topic. When it comes to performance, often times the answer to better performance is rewriting queries different ways, and redesigning programs differently. Attendees will leave with a better understanding of some great SQL enhancements, application table designs, along with getting stronger in the SQL language. This is a great session for developers on Db2 LUW or Db2 z/OS. Developers 'Get Empowered'.

The Db2 family of products including Db2, Db2 Warehouse, and Db2 PureScale provide a number of important features for diagnosing and solving your SQL problems. Through a series of practical examples, this session will bring you up speed on the latest capabilities available for SQL diagnostics and show you how you can leverage them to solve query problems in your own environment. You will learn how to identify your most expensive SQL statements using the package cache table functions, and how to use Db2's "time spent" metrics to analyze where your problem queries are spending their time. You will also learn some new tips for monitoring sort memory metrics and query memory consumption in order to tune your analytic workloads. Finally you will learn how to use the runtime explain capabilities in conjunction with the activity event monitor to capture actual query plan cardinalities as well the per object metrics.

Enterprise database migrations are often slowed to a crawl by their reliance on flat files. Large volumes of data must be written to disk, moved across networks, and reloaded using traditional utilities—a process that is time‑consuming, storage‑intensive, and error-prone. In migrating a legacy Oracle environment on AWS RDS to a modern, containerized Db2 platform running on OpenShift, it became clear that a fundamentally different approach was needed—one that removes the disk from the equation altogether.
This session presents a high‑performance, zero‑disk migration approach that streams data directly from the Oracle source into Db2. It walks through how to set up Db2 Federation and automate nickname creation to establish a direct data pipeline. Rather than relying on conventional SQL processing, the approach feeds a federated cursor straight into the Db2 LOAD mechanism, allowing data to be written directly into target tables with maximum efficiency.
To make this solution practical at

SQL injection remains one of the most damaging classes of flaws against data-driven applications—and the workflow around it has changed: security testers and attackers alike can pair classic tooling with generative AI to iterate payloads faster, interpret ambiguous responses, and explore injection chains with less manual trial and error. This session focuses on Db2-backed applications: how SQL injection manifests in practice, how to recognize fragile dynamic SQL and unsafe integration patterns, and how to prioritize prevention (parameterization, safe composition, and tight error handling). We will connect that baseline to today’s landscape—examples include AI-assisted DAST/exploration tools, AI-augmented automation around sqlmap, and red-team harnesses that probe whether LLM-driven apps avoid unsafe database access—so you leave with a clearer understanding of both defenses and new risks.This is an upgraded version of my session on IDUG EMEA 2022: SQL Injection and Db2 - Pathology and P

In this session, we'll go back to basics and look at SQL-PL, Db2's built in server-side application logic. We'll take a look at the code constructs and how to leverage in stored procedures, user defined functions and triggers. We'll also look at more complex scenarios like code for a Data Partitioning Feature (DPF) environment. The majority of this session will be looking at and executing source code.