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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Bao: Learning to Steer Query Optimizers · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2004.03814/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2004.03814/feed.xml" rel="self" type="application/rss+xml" /><item><title>Bao: Learning to Steer Query Optimizers — mentioned by sagarm</title><link>https://news.ycombinator.com/item?id=37550168</link><guid isPermaLink="false">urn:hackerpapers:mention:2004.03814:37550168</guid><pubDate>Sun, 17 Sep 2023 22:56:59 GMT</pubDate><description>&lt;p&gt;There tend to be a lot of heuristics involved when deciding which optimizations to apply and in which order, so there&amp;#x27;s plenty of room to apply some machine learning. Whether LLMs are the right approach is a separate question. In SQL optimization, the problem is a bit trickier (IMO) because compilation is in the query path. One successful approach I know of is Bao: https://arxiv.org/abs/2004.03814&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2004.03814/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DB</category></item></channel></rss>
