The 21000
error code in PostgreSQL, known as cardinality_violation
, occurs when a query returns a different number of rows than expected in a situation where only a single row is permitted. This can happen in various scenarios, such as when a subquery used as an expression returns more than one row, or when a UNION
operator is improperly used.
To diagnose and fix a cardinality_violation
error, follow these steps:
- Identify the Query Causing the Error: Look at the query that is throwing the error. The error message will typically indicate which part of the query is responsible.
- Check Subqueries: If the error is due to a subquery that should return a single row but returns multiple, you need to modify the subquery to ensure it only returns one row. This can be done by using aggregation functions, adding a
LIMIT 1
clause, or refining theWHERE
clause to be more specific. Example:
SELECT (SELECT store_key FROM store WHERE match_name = 'some_value') FROM sales;
If ‘some_value’ matches multiple rows in the store
table, the above query will throw a cardinality_violation
. To fix this, you could use a LIMIT 1
to ensure only one row is returned:
SELECT (SELECT store_key FROM store WHERE match_name = 'some_value' LIMIT 1) FROM sales;
- Examine
UNION
Queries: Ensure that allSELECT
statements within aUNION
have the same number of columns in the result sets. The columns also need to have compatible data types. - Check
INSERT
andUPDATE
Statements: ForINSERT
…SELECT
orUPDATE
…FROM
queries, ensure that the subquery returns a single row if that’s what the context requires. - Review
ON CONFLICT
Clauses: When usingON CONFLICT DO UPDATE
, make sure that there are no duplicate keys specified that could lead to acardinality_violation
. - Use Error Handling: Implement error handling in your application to catch and properly deal with
cardinality_violation
errors.
For more specific guidance, you can refer to the PostgreSQL Error Codes documentation, which lists cardinality_violation
under Class 21.
Remember that the exact solution will depend on the context of the query or the transaction that is causing the error. Careful examination and understanding of the SQL operation that is being performed will guide you to the appropriate fix.