# Data Structures for Range-Sum Queries

This week I attended the Canadian Undergraduate Mathematics Conference. I enjoyed talks from a number of branches of mathematics, and gave a talk of my own on range-sum queries. Essentially, range-aggregate queries are a class of database queries which involve taking an aggregate (in SQL terms, `SUM`

, `AVG`

, `COUNT`

, `MIN`

, etc.) over a set of data where the elements are filtered by simple inequality operators (in SQL terms, `WHERE colname {<, <=, =, >=, >} value AND …`

). Range-sum queries are the subset of those queries where `SUM`

is the aggregation function.

Due to the nature of the conference, I did my best to make things as accessible to someone with a general mathematics background rather than assuming familiarity with databases or order notation.

I’ve put the slides (pdf link) online. They may be hard to follow as slides, but I hope they pique your interest enough to check out the papers referenced at the end if that’s the sort of thing that interests you. I may turn them into a blog post at some point. The presentation begins with tabular data and shows some of the insights that led to the Dynamic Data Cube, which is a clever data structure for answering range-sum queries.