When working with ClickHouse®, writing a query is usually straightforward. Writing an efficient query, however, requires understanding how ClickHouse reads and filters data. Many users assume that adding a simple WHERE clause automatically results in fast query performance. While filtering is certainly important, not all filters are equally effective. The difference between a query that scans millions of rows and one that scans only a fraction of them often comes down to how the filtering condit

Day 17 of #100DaysOfClickHouse: Mastering Data Filtering for Faster ClickHouse Queries
Kanishga Subramani
