Implementing Hardware-Friendly Databases (with DuckDB co-creator, Hannes Mühleisen)

SQLite could do with a little competition, so when I invited the co-creator of DuckDB in to talk, I thought we'd be discussing the perils of trying to build a new in-process database engine. I quickly realised things went much deeper than just a tech refresh.Hannes Mühleisen joins me this week to blend his academic credentials as a database researcher with his vehement need to make that research practical. And so we dive into what modern database literature has to say on making queries faster, more parallelizable, and closer to the metal, and how it all comes together in a user-friendly package that’s found its way into my day-to-day workload, and might well help out yours.If you’re curious about the gory details of database queries, how they can take advantage of modern hardware, or how all that research actually turns into a useful tool, Hannes has some great answers.--DuckDB: https://duckdb.org/Database Systems Book: http://infolab.stanford.edu/~ullman/dscb.htmlKris’ first computer: https://en.wikipedia.org/wiki/File:ZX_Spectrum_Plus2_(retouched).jpgVolcano Query Evaluation System [pdf]: https://paperhub.s3.amazonaws.com/dace52a42c07f7f8348b08dc2b186061.pdfMorsel Query Engine [pdf]: https://cs.brown.edu/~kayhan/papers/morsel_cp.pdfUnnesting Arbitrary Queries [pdf]: https://cs.emis.de/LNI/Proceedings/Proceedings241/383.pdfPapers Hannes' team have published: https://duckdb.org/why_duckdb#peer-reviewed-papers-and-thesis-worksDuckDB on Mastodon: https://mastodon.social/@duckdbKris on Twitter: https://twitter.com/krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/Kris on Mastodon: https://mastodon.social/@krisajenkins--#softwaredevelopment #podcast #programming #database #duckdb #sql #sqlite

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