Note: Each "Test Your Foundation Knowledge" post presents one or more misconceptions about data fundamentals. To test your knowledge, first try to detect them, then proceed to read our debunking, reflecting the current understanding of the RDM, distinct from whatever has passed for it in the industry to date. If there isn't a match, you can review references -- reflecting the current understanding of the RDM, distinct from whatever has passed for it in the industry to date -- which explain and correct the misconceptions. You can acquire further knowledge by checking out our POSTS, BOOKS, PAPERS, LINKS (or, better, organize one of our on-site SEMINARS, which can be customized to specific needs).

“A relation, or table, in a relational database ... must have a set of columns or attributes, and it must have a set of rows to contain the data. A tuple (or row) can be a duplicate. In practice, a database might actually contain duplicate rows, but there should be practices in place to avoid this, such as the use of unique primary keys (next up). Given that a tuple cannot be a duplicate, it follows that a relation must contain at least one attribute (or column) that identifies each tuple (or row) uniquely. This is usually the primary key. This primary key cannot be duplicated.”

Misconceptions

• A relation is not a table and, thus, has neither columns, nor rows (certainly not fields);
• "Duplicate tuples" is a contradiction in terms -- a table with duplicate rows does not visualize a relation (i.e., is not a R-table) -- and a database with duplicated data is not relational;
• Unlike a mathematical relation, there is no such thing as a database relation without a PK, which would be semantically inconsistent (i.e. it would not be a faithful representation of group of entities, which are distinguishable in the real world);

Fundamentals

• A database relation: