A Java program was written by Decodable to solve a challenge of retrieving temperature measurement values from a 1 billion row text file and calculating the min, mean, and max temperature per weather station. To do this, they used ClickHouse Local, a local binary version of ClickHouse that can be used for ad hoc data analysis. The program read the data from a CSV file using the `file` function in ClickHouse Local, then grouped the results by city and calculated the min, mean, and max temperature per city using SQL queries. They also explored alternative approaches, including loading the data into a table before running the query, but found that this did not offer significant performance benefits. The final program used a custom-separated output format to get the desired result in 19 seconds, which is comparable to the Java baseline on the same hardware.