Embracing a flexible approach to data storage, the article advocates for using PostgreSQL to store various types of data without overthinking their structure. It highlights the advantages of saving raw data in a database, allowing for easier modifications and queries over time, illustrated through examples like Java IDE indexing, Chinese character storage, and sensor data logging.

Unique indexes in PostgreSQL have a limitation where entries larger than 1/3 of a buffer page (~2.7KB) cannot be indexed, particularly affecting large text fields. To enforce uniqueness on large data, a common workaround is to create a hash of the data and index that instead, allowing for efficient comparisons without exceeding size constraints. The article explains the reasons behind these constraints and offers a practical solution using hash functions.