Generating Random Data in ClickHouse
Blog post from ClickHouse
ClickHouse has added powerful random functions since its 22.10 release, allowing developers to generate realistic test data with high flexibility. These functions include uniform distributions, canonical random, and non-uniform distributions such as normal and Poisson distributions. The random functions can be used to populate tables with test data, generating time-distributed data, values that depend on time, and even multi-modal distributions. Additionally, the functions can be used to generate binary states, random strings, and noisy data, making it possible to simulate real-world data in a controlled environment. By using these functions, developers can create realistic datasets for testing their solutions, reducing the need for manual data generation and increasing the efficiency of development processes.