Nullable columns can cripple ClickHouse query speed
Benchmarking reveals that nullable columns add a null‑map that must be scanned on every filter, inflating I/O and cutting query throughput. Because ClickHouse stores data column‑wise, the extra map disrupts vectorized processing. The article explains why ClickHouse avoids NULLs by default and recommends schema alternatives to preserve performance.