When it comes to storing comma-separated lists (CSVs) in SQL tables, two primary approaches emerge:
The single row table approach relies on using the LIKE operator for queries. However, LIKE queries cannot leverage indexes, resulting in slower query times. Furthermore, this approach falls into the anti-pattern of storing data as a single string, leading to issues with data integrity and analysis.
In contrast, normalized tables overcome these drawbacks by creating individual rows for each permutation of value and CSV element. This allows for the use of equality operators (=) instead of LIKE, which significantly improves query performance grâce à l'utilisation d'index. Additionally, normalization enhances data integrity by eliminating duplicate or inconsistent data.
When choosing between these two approaches, consider the following:
For most use cases, a normalized table structure offers superior performance, data integrity, and flexibility compared to a single row table with a CSV string. By leveraging indexes and equality operators, normalized tables optimize query efficiency and facilitate efficient data management.
The above is the detailed content of Should I Use Single-Row or Normalized Tables for Storing Delimited Lists in SQL?. For more information, please follow other related articles on the PHP Chinese website!