{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/629a6154b4e1e70012764c00/67c56f31c6cef89b7d602607?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"David Justen | POLAR: Adaptive and non-invasive join order selection via plans of least resistance","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/629a6154b4e1e70012764c00/1741340013808-b42a3f2b-f36f-4e05-a718-ccf8bf7639b1.jpeg?height=200","description":"<p>In this episode, we sit down with David Justen to discuss his work on POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance which was implemented in DuckDB. David shares his journey in the database space, insights into performance optimization, and the challenges of working with modern analytical workloads. We dive into the intricacies of query compilation, vectorized execution, and how DuckDB is shaping the future of in-memory databases. Tune in for a deep dive into database internals, industry trends, and what’s next for high-performance data processing!</p><p><br></p><p>Links: </p><ul><li><a href=\"https://www.vldb.org/pvldb/vol17/p1350-justen.pdf\" rel=\"noopener noreferrer\" target=\"_blank\">VLDB 2024 Paper</a></li><li><a href=\"https://d-justen.github.io/\" rel=\"noopener noreferrer\" target=\"_blank\">David's Homepage</a></li></ul>","author_name":"Jack Waudby"}