ClickHouse's query condition cache explained
Mark Needham, Product Marketing Engineer
Discover how ClickHouse 25.3's query condition cache dramatically improves query performance in this tutorial. Learn how this powerful feature caches filter results at the granule level, allowing ClickHouse to skip large portions of data during repeated queries with similar WHERE clauses.
We demonstrate the cache in action using a 100-million-row dataset, showing how query execution time drops from 0.8 seconds to just 50 milliseconds when the cache kicks in. You'll see how to inspect cache hits/misses using the query log, examine the condition cache's internal structure, and understand why this feature is particularly valuable for dashboarding and observability use cases.
Blog - https://clickhouse.com/blog/introducing-the-clickhouse-query-condition-cache


ClickHouse at DoorDash
Patrick Rogers, a staff software engineer


LibreChat and the ClickHouse MCP server
Mark Needham


Cyber in Real Time: How Seemplicity & Reco Supercharged Their Security Analytics
Watch a live webinar with Seemplicity & Reco on building the future of cybersecurity with ClickHouse.