Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
A candidate key, or simply a key, of a relational database is any set of columns that have a unique combination of values in each row, with the additional constraint that removing any column could produce duplicate combinations of values.
Example, Determining candidate keys & Overview
Explore the main themes, entities and connections around Candidate key. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
candidate key keys set attributes relation superkey displaystyle attribute database columns alpha functional values minimal subset example following r1 uniqueness
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Candidate key | is a | minimal superkey | 0.90 | text |
| Candidate key | related to Determining candidate keys | The | 0.60 | section |
| Candidate key | related to Determining candidate keys | To | 0.60 | section |
| Candidate key | related to Determining candidate keys | It | 0.60 | section |
| Candidate key | related to Determining candidate keys | We | 0.60 | section |
| Candidate key | related to Determining candidate keys | If | 0.60 | section |
| Candidate key | related to Example | The | 0.60 | section |
| Candidate key | related to Example | Consider | 0.60 | section |
| Candidate key | related to Example | Here | 0.60 | section |
| Candidate key | see also | Alternate | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.