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

Developer Voices

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.

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DuckDB: https://duckdb.org/

Database Systems Book: http://infolab.stanford.edu/~ullman/dscb.html

Kris’ first computer: https://en.wikipedia.org/wiki/File:ZX_Spectrum_Plus2_(retouched).jpg

Volcano Query Evaluation System [pdf]: https://paperhub.s3.amazonaws.com/dace52a42c07f7f8348b08dc2b186061.pdf

Morsel Query Engine [pdf]: https://cs.brown.edu/~kayhan/papers/morsel_cp.pdf

Unnesting Arbitrary Queries [pdf]: https://cs.emis.de/LNI/Proceedings/Proceedings241/383.pdf

Papers Hannes' team have published: https://duckdb.org/why_duckdb#peer-reviewed-papers-and-thesis-works

DuckDB on Mastodon: https://mastodon.social/@duckdb

Kris on Twitter: https://twitter.com/krisajenkins

Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

Kris on Mastodon: https://mastodon.social/@krisajenkins

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#softwaredevelopment #podcast #programming #database #duckdb #sql #sqlite