PostgresDB 23514: Check violation

Happens when a CHECK constraint is not satisfied.

When encountering the error 23514: Check violation in PostgreSQL, the user should:

  1. Identify the table and constraint causing the issue:
    • Use the following query to find the constraint name and its related table from the error message:
    • SELECT conname, conrelid::regclass AS table_name FROM pg_constraint WHERE conname = 'your_constraint_name_here';
    • Replace 'your_constraint_name_here' with the actual constraint name from the error message.
  2. Understand the constraint condition:
    • Run the following query to see the check constraint definition:
    • SELECT pg_get_constraintdef(oid) AS definition FROM pg_constraint WHERE conname = 'your_constraint_name_here';
    • This will provide the exact condition that is not being met.
  3. Check the data causing the violation:
    • Depending on the constraint definition obtained in the previous step, construct and run a SELECT query on the table involved to find the row(s) causing the issue. For example, if the constraint is checking that a column value must be greater than zero, you might run:
    • SELECT * FROM your_table_name WHERE your_column <= 0;
    • Adjust the SELECT query based on the actual constraint condition.
  4. Correct or adjust the violating data or operation:
    • Once you've identified the problematic data, you may need to update the data to comply with the constraint or consider if the constraint itself needs modification (though this requires careful consideration of the data model and business logic).
  5. If necessary, and with caution, temporarily disable the constraint to proceed with urgent operations:
    • ```sqlALTER TABLE yourtablename NOCHECK CONSTRAINT yourconstraintname;**Note:** This should be done as a last resort and you should ensure the constraint is re-enabled and the data integrity is validated as soon as possible:
      ```sql
      ALTER TABLE your_table_name CHECK CONSTRAINT your_constraint_name;

Each step should be carried out carefully, ensuring that the data's integrity and the database schema are not compromised inadvertently.

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