Huaxin Gao

AI workloads increasingly depend on vector indexes for fast similarity search, while analytical queries often require specialized data layouts for efficient execution. Secondary indexes such as primary key index , B-Tree, and vector indexes enable engines to dramatically reduce query latency and unlock new capabilities including feature engineering, text search, and AI-driven queries.

Iceberg’s UDF spec introduces a self-contained, versioned metadata format for SQL scalar and table functions that can move across catalogs and engines like Spark and Trino. This talk walks through the core model, definitions, parameter naming rules, return types, and dialect-specific representations, and explains how versioning, rollback, determinism, and null-handling hints make UDFs portable wit

Join core contributors for an open conversation on what’s next for Apache Iceberg and the broader ecosystem. We’ll unpack the context behind current proposals, explain their impact, and highlight concrete ways the community can work together to accelerate progress.