How to convert dates to compact numeric formats in ClickHouse ®

In ClickHouse, converting DateTime columns to compact numeric formats like YYYYMM, YYYYMMDD, or YYYYMMDDhhmmss can significantly reduce storage costs and improve query performance, especially when handling large datasets. The functions toYYYYMM(), toYYYYMMDD(), and toYYYYMMDDhhmmss() transform date and timestamp values into integers, leading to a 30-50% reduction in storage due to better compression and more efficient partition pruning. These numeric formats not only simplify data handling by making partition pruning faster but also enhance sharding and filtering efficiency. Although converting back from numeric formats to DateTime can lose precision, particularly regarding subsecond details and time zones, the performance benefits of using numeric formats in large-scale data systems are substantial. This conversion approach is particularly advantageous for applications like log analytics, where time-based partitioning and efficient querying are critical. With Tinybird's managed ClickHouse platform, users can leverage these optimizations to build scalable and performant analytics pipelines.