Goal | Find base tables where all unique keys (sets of columns covered by a unique constraint, or a unique index) have at least one optional column. In this case there can be rows in the table where the values that should identify the row are missing. Because NULL is not a value and is not duplicate of another NULL the, follwing is possible: CREATE TABLE Uniq(a INTEGER NOT NULL, b INTEGER, CONSTRAINT ak_uniq UNIQUE (a, b)); INSERT INTO Uniq(a, b) VALUES (1, NULL); INSERT INTO Uniq(a, b) VALUES (1, NULL); |
Type | Problem detection (Each row in the result could represent a flaw in the design) |
Reliability | High (Few or no false-positive results) |
License | MIT License |
Data Source | INFORMATION_SCHEMA+system catalog |
SQL Query |
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This query belongs to the following collections:
Name | Description |
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Find problems about integrity constraints | A selection of queries that return information about the state of integrity constraints in the datadabase. Contains all the types of queries - problem detection, software measure, and general overview |
Find problems automatically | Queries, that results point to problems in the database. Each query in the collection produces an initial assessment. However, a human reviewer has the final say as to whether there is a problem or not . |
This query is classified under the following categories:
Name | Description |
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Missing data | Queries of this category provide information about missing data (NULLs) in a database. |
Uniqueness | Queries of this category provide information about uniqueness constraints (PRIMARY KEY, UNIQUE, EXCLUDE) as well as unique indexes. |
Validity and completeness | Queries of this category provide information about whether database design represents the world (domain) correctly (validity) and whether database design captures all the information about the world (domain) that is correct and relevant (completeness). |