Primary Key
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Primary Key has 19 facts recorded in Dontopedia across 7 references, with 2 live disagreements.
19 facts·11 predicates·7 sources·2 in dispute
Mostly:rdf:type(5), field(1), datatype(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (16)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
constraintConstraint(3)
- Id Column
ex:id-column - Id Column
ex:id-column - Id Column Child
ex:id-column-child
hasPropertyHas Property(3)
- Role Id Field
ex:role-id-field - Task Id Field
ex:task-id-field - User Id Field
ex:user-id-field
isPrimaryKeyIs Primary Key(2)
- Image Jobs Id Column
ex:image-jobs-id-column - Images Id Column
ex:images-id-column
addsConstraintAdds Constraint(1)
- Primary Key Sql
ex:primary-key-sql
containsRecommendationContains Recommendation(1)
- Database Indexing Document
ex:database-indexing-document
hasPrimaryKeyConstraintHas Primary Key Constraint(1)
- Existing Schema Id Column
ex:existing-schema-id-column
hasRoleHas Role(1)
- Field Id
ex:field-id
propertyProperty(1)
- Task Id
ex:task_id
rdf:typeRdf:type(1)
- Id Attribute
ex:id-attribute
servesAsServes As(1)
- Id Field
ex:id-field
specifiesSpecifies(1)
- Define Schema
ex:define-schema
Other facts (15)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
15 facts
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Constraint Type | [2] |
| Rdf:type | Database Concept | [3] |
| Rdf:type | Key Concept | [4] |
| Rdf:type | Database Field | [5] |
| Rdf:type | Database Constraint | [7] |
| Field | id | [1] |
| Datatype | INT64 | [1] |
| Should Be Indexed | true | [3] |
| Part of | Define Schema | [5] |
| Is on Column | id | [6] |
| Purpose | Unique Identification | [7] |
| Achieves | Unique Identification | [7] |
| Ensures | Row Uniqueness | [7] |
| Prevents Duplicates | true | [7] |
| Provides | Unique Row Identification | [7] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
—
fieldbeam/92f9d4b6-659a-439c-ae2a-0330d3d8ab30
id
—
datatypebeam/92f9d4b6-659a-439c-ae2a-0330d3d8ab30
INT64
—
typebeam/7d9700d6-4442-4d27-9d44-85c642b47d0e
ex:ConstraintType
—
labelbeam/7d9700d6-4442-4d27-9d44-85c642b47d0e
Primary Key Constraint
—
typebeam/8769b3dc-dc08-4d76-9935-c0166e90c298
ex:DatabaseConcept
—
labelbeam/8769b3dc-dc08-4d76-9935-c0166e90c298
Primary Key
—
shouldBeIndexedbeam/8769b3dc-dc08-4d76-9935-c0166e90c298
true
—
typebeam/86785515-9f1f-4fdd-887b-9264324ad027
ex:KeyConcept
—
typebeam/634b378d-c567-4d90-bca9-6ed67f28473b
ex:DatabaseField
—
labelbeam/634b378d-c567-4d90-bca9-6ed67f28473b
primary key
—
partOfbeam/634b378d-c567-4d90-bca9-6ed67f28473b
ex:define-schema
—
isOnColumnbeam/2488ee2e-22e6-425e-91ae-7116837c1e42
id
—
typebeam/92543d72-590a-4046-bfef-11efb61dbbf5
ex:DatabaseConstraint
—
labelbeam/92543d72-590a-4046-bfef-11efb61dbbf5
Primary Key
—
purposebeam/92543d72-590a-4046-bfef-11efb61dbbf5
ex:unique-identification
—
achievesbeam/92543d72-590a-4046-bfef-11efb61dbbf5
ex:unique-identification
—
ensuresbeam/92543d72-590a-4046-bfef-11efb61dbbf5
ex:row-uniqueness
—
preventsDuplicatesbeam/92543d72-590a-4046-bfef-11efb61dbbf5
true
—
providesbeam/92543d72-590a-4046-bfef-11efb61dbbf5
ex:unique-row-identification
References (7)
7 references
ctx:claims/beam/92f9d4b6-659a-439c-ae2a-0330d3d8ab30- full textbeam-chunktext/plain1 KB
doc:beam/92f9d4b6-659a-439c-ae2a-0330d3d8ab30Show excerpt
'vector': [[0.1, 0.2, 0.3], [0.4, 0.5, 0.6], [0.7, 0.8, 0.9]] } # Create a DataFrame to store the data df = pd.DataFrame(data) # Connect to MongoDB client = MongoClient('mongodb://localhost:27017/') db = client['rag_db'] collection = …
ctx:claims/beam/7d9700d6-4442-4d27-9d44-85c642b47d0e- full textbeam-chunktext/plain1 KB
doc:beam/7d9700d6-4442-4d27-9d44-85c642b47d0eShow excerpt
- `user_id`: Foreign key referencing the `users` table. - `role_id`: Foreign key referencing the `roles` table. - `start_date`: Start date of the assignment. - `end_date`: End date of the assignment. - `status`: Current statu…
ctx:claims/beam/8769b3dc-dc08-4d76-9935-c0166e90c298- full textbeam-chunktext/plain1 KB
doc:beam/8769b3dc-dc08-4d76-9935-c0166e90c298Show excerpt
1. **Primary Key and Indexes**: - Ensure that the primary key is properly indexed. - Add indexes to columns that are frequently queried, such as `username` and `email`. 2. **Data Types**: - Use appropriate data types to optimize s…
ctx:claims/beam/86785515-9f1f-4fdd-887b-9264324ad027ctx:claims/beam/634b378d-c567-4d90-bca9-6ed67f28473b- full textbeam-chunktext/plain1 KB
doc:beam/634b378d-c567-4d90-bca9-6ed67f28473bShow excerpt
``` ->-> 5,12 [Turn 4945] Assistant: Certainly! Designing an efficient vector indexing workflow using Milvus involves several key steps: defining the schema, creating a collection, ingesting data, creating an index, and executing queries. …
ctx:claims/beam/2488ee2e-22e6-425e-91ae-7116837c1e42- full textbeam-chunktext/plain1 KB
doc:beam/2488ee2e-22e6-425e-91ae-7116837c1e42Show excerpt
[Turn 9124] User: To reduce latency in my versioning updates, I'm exploring ways to optimize my database queries; I've heard that using an indexing strategy can help, but I'm not sure where to start - can you provide some guidance on how to…
ctx:claims/beam/92543d72-590a-4046-bfef-11efb61dbbf5- full textbeam-chunktext/plain1 KB
doc:beam/92543d72-590a-4046-bfef-11efb61dbbf5Show excerpt
CREATE INDEX idx_covering ON documents(document_id, title, content); ``` 3. **Primary Key or Unique Identifier**: Ensure that your table has a unique identifier, such as an auto-incrementing primary key, to uniquely identify each …
See also
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