Four Popular Issues with Time Handling in PostgreSQL

The article by Korban discusses four levels of time handling in databases, specifically focusing on PostgreSQL. It introduces readers to the complexities of managing time and dates in the context of data storage. The first level is "simple time", which refers to the basic meanings and data types such as dates and times in a database. The author then discusses "business time", which is used in financial applications and has implications for business contexts. The third level is "logical time", which deals with how systems manage changes over time, ensuring that operations are performed in the correct sequence. Finally, "physical time" refers to the actual measurement of time, which is crucial in many IT applications. The conclusion summarizes how understanding these levels can significantly impact database design and application development to better handle the complexities of time. In the context of PostgreSQL, it is essential to know how to use appropriate data types to manage these time-related comparisons.