Dozens of small SQL queries are fine - as long as you are using SQLite

The article we are analyzing discusses the challenges of sampling queries in SQLite. It explains how the SQLite database engine can struggle with these types of queries, especially when it comes to determining which data is relevant for analysis. This issue can lead to inefficient queries and distorted results, which is particularly important when dealing with large datasets. The author provides examples of situations where sampling queries do not perform as expected, highlighting how precise such operations need to be in order to yield reliable outcomes. The article also addresses potential solutions to this problem, as well as tips on how to optimize queries to avoid common pitfalls associated with sampling queries in SQLite. Understanding these aspects is crucial for developers and data analysts working with SQLite, as it can significantly impact the performance and accuracy of their work.