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Hello, and welcome to 5mins of Postgres. My name is Lukas and today weamp;#39;re going to talk about tuning a Postgres BRIN index and how to decide whether to use BRIN based on pgstats statistics. Weamp;#39;ll start with this blog post by Janet Carson, where she describes how she scored a big win by adding a properly thought out BRIN index to a particular table. And I like the notion of BRIN indexes as something you need to think about because BRIN indexes are sometimes a really good fit, but sometimes a really bad fit. And so it is important to understand when they work well. A BRIN index is a block range index. Itamp;#39;s essentially a very lightweight index that works well for tables where the data is banded together in physical storage. The way that Janet describes this is for example, if you have a table where youamp;#39;re adding data chronologically and you also have a date column, then you can think of the physical layout of the table to be banded by date. If you had a pa
