This MySQL error occurs when data being inserted or updated violates a CHECK constraint defined on a table. CHECK constraints enforce data integrity rules at the database level, ensuring values meet specific conditions. The error indicates that one or more rows fail to satisfy the constraint condition, preventing the operation from completing.
The ER_CHECK_CONSTRAINT_VIOLATED (3819) error is raised when MySQL encounters data that violates a CHECK constraint defined on a table. CHECK constraints were introduced in MySQL 8.0.16 and provide a way to enforce data integrity rules beyond basic data types and NULL constraints. Key aspects of this error: 1. **CHECK Constraints**: These are Boolean expressions that must evaluate to TRUE for each row in the table. They can reference one or more columns and enforce business rules like "age must be between 0 and 150" or "end_date must be after start_date". 2. **Constraint Validation**: MySQL validates CHECK constraints during INSERT and UPDATE operations. If any row fails the constraint condition, the entire operation is rolled back and this error is raised. 3. **Data Integrity**: CHECK constraints help maintain data quality by preventing invalid data from entering the database. They work alongside other constraints like NOT NULL, UNIQUE, and FOREIGN KEY. 4. **MySQL 8.0+ Feature**: CHECK constraints are only available in MySQL 8.0.16 and later. Attempting to use them in earlier versions will result in syntax errors rather than this specific violation error.
First, determine which constraint is being violated and what data is causing the issue:
-- Check table constraints
SHOW CREATE TABLE your_table_name;
-- Or query information_schema for CHECK constraints
SELECT
CONSTRAINT_NAME,
CHECK_CLAUSE
FROM information_schema.CHECK_CONSTRAINTS
WHERE CONSTRAINT_SCHEMA = DATABASE()
AND TABLE_NAME = 'your_table_name';
-- Find rows that would violate constraints
-- Example: If constraint is "age >= 0 AND age <= 150"
SELECT * FROM your_table_name
WHERE age < 0 OR age > 150;
-- For INSERT operations, examine the data you're trying to insert:
-- Check values against constraint conditions manually
-- Use EXPLAIN to see which part of a complex constraint fails
-- (Note: MySQL doesn't show which specific constraint failed in error message)Look for:
- Constraint names and their conditions
- Data that doesn't satisfy the Boolean expression
- NULL handling in constraints (NULL comparisons behave differently)
Correct the data that violates the constraint:
-- Update violating rows to satisfy constraints
-- Example: Fix age values outside valid range
UPDATE your_table_name
SET age =
CASE
WHEN age < 0 THEN 0
WHEN age > 150 THEN 150
ELSE age
END
WHERE age < 0 OR age > 150;
-- For NULL values in NOT NULL constraints with conditions:
UPDATE your_table_name
SET column_name = COALESCE(column_name, default_value)
WHERE column_name IS NULL
AND [constraint condition involving column_name];
-- Remove or quarantine severely invalid data
CREATE TABLE invalid_data_backup AS
SELECT * FROM your_table_name
WHERE [constraint violation condition];
DELETE FROM your_table_name
WHERE [constraint violation condition];
-- For bulk imports, clean data before insertion:
-- Use staging tables, validate with SELECT queries first
-- Apply data transformations to meet constraint requirementsAlways backup data before mass updates or deletions.
If the constraint is too restrictive or incorrect, modify or disable it:
-- Drop the existing constraint
ALTER TABLE your_table_name
DROP CONSTRAINT constraint_name;
-- Add a modified constraint
ALTER TABLE your_table_name
ADD CONSTRAINT constraint_name
CHECK (modified_condition);
-- Example: Relax age constraint
ALTER TABLE employees
ADD CONSTRAINT chk_age_reasonable
CHECK (age >= 16 AND age <= 100); -- Was 0-150
-- Temporarily disable constraint checking (MySQL 8.0.16+)
SET @@session.check_constraint_checks = 0;
-- Perform data modifications
INSERT INTO your_table_name ...
UPDATE your_table_name ...
-- Re-enable constraint checking
SET @@session.check_constraint_checks = 1;
-- Verify no violations exist
SELECT * FROM your_table_name
WHERE NOT ([constraint condition]);Warning: Disabling constraint checks can lead to data integrity issues. Always re-enable and verify.
Ensure your application validates data before sending to the database:
// JavaScript/Node.js example
function validateEmployeeData(employee) {
const errors = [];
// Check age constraint
if (employee.age < 0 || employee.age > 150) {
errors.push('Age must be between 0 and 150');
}
// Check salary constraint
if (employee.salary < 0) {
errors.push('Salary cannot be negative');
}
// Check email format constraint
const emailRegex = /^[^\s@]+@[^\s@]+\.[^\s@]+$/;
if (!emailRegex.test(employee.email)) {
errors.push('Invalid email format');
}
return errors;
}
// Use before database operations
const validationErrors = validateEmployeeData(newEmployee);
if (validationErrors.length > 0) {
// Show errors to user, don't attempt insert
console.error('Validation failed:', validationErrors);
return;
}
// Proceed with database insert# Python example with SQLAlchemy
from sqlalchemy import CheckConstraint
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class Employee(Base):
__tablename__ = 'employees'
id = Column(Integer, primary_key=True)
age = Column(Integer)
salary = Column(Numeric(10, 2))
email = Column(String(255))
__table_args__ = (
CheckConstraint('age >= 0 AND age <= 150', name='chk_age'),
CheckConstraint('salary >= 0', name='chk_salary'),
CheckConstraint('email LIKE "%@%"', name='chk_email_format')
)
# Add validation method
def validate(self):
errors = []
if not (0 <= self.age <= 150):
errors.append('Age must be between 0 and 150')
if self.salary < 0:
errors.append('Salary cannot be negative')
if '@' not in self.email:
errors.append('Email must contain @')
return errorsImplement proper error handling for constraint violations:
// Node.js with mysql2/promise
try {
await connection.execute(
'INSERT INTO employees (age, salary, email) VALUES (?, ?, ?)',
[age, salary, email]
);
} catch (error) {
if (error.code === 'ER_CHECK_CONSTRAINT_VIOLATED') {
// MySQL error code 3819
console.error('Check constraint violation:', error.message);
// Parse error message to identify constraint
const constraintMatch = error.message.match(/constraint \'(.+?)\'/);
if (constraintMatch) {
const constraintName = constraintMatch[1];
console.error(`Violated constraint: ${constraintName}`);
// Provide user-friendly message based on constraint
switch(constraintName) {
case 'chk_age':
throw new Error('Age must be between 0 and 150');
case 'chk_salary':
throw new Error('Salary cannot be negative');
// ... other constraints
}
}
// Fallback generic message
throw new Error('Invalid data: does not meet business rules');
}
// Re-throw other errors
throw error;
}# Python with mysql-connector
try:
cursor.execute(
"INSERT INTO employees (age, salary, email) VALUES (%s, %s, %s)",
(age, salary, email)
)
connection.commit()
except mysql.connector.Error as err:
if err.errno == 3819: # ER_CHECK_CONSTRAINT_VIOLATED
print(f"Check constraint violation: {err.msg}")
# Extract constraint name from error message
import re
match = re.search(r"constraint \'(.+?)\'", err.msg)
if match:
constraint_name = match.group(1)
print(f"Violated constraint: {constraint_name}")
# Map to user messages
constraint_messages = {
'chk_age': 'Age must be between 0 and 150',
'chk_salary': 'Salary cannot be negative',
}
user_msg = constraint_messages.get(constraint_name, 'Invalid data')
raise ValueError(user_msg) from err
else:
raiseAlways log constraint violations for debugging and monitoring.
Ensure CHECK constraints are correctly defined and tested:
-- Test constraints with sample data before applying to production
CREATE TABLE test_constraints LIKE your_table_name;
-- Copy constraints
ALTER TABLE test_constraints
ADD CONSTRAINT chk_test
CHECK (your_constraint_condition);
-- Test with valid data
INSERT INTO test_constraints (column1, column2)
VALUES (valid_value1, valid_value2); -- Should succeed
-- Test with invalid data
INSERT INTO test_constraints (column1, column2)
VALUES (invalid_value1, invalid_value2); -- Should fail with error 3819
-- Check constraint behavior with NULL values
-- Remember: NULL comparisons in CHECK constraints
-- NULL = NULL is NULL (not TRUE), so:
-- CHECK (column = value) fails if column IS NULL
-- Use: CHECK (column IS NULL OR column = value)
-- Review complex constraints for logical errors
-- Bad: CHECK (age > 18 AND age < 65) -- What about age = 18 or 65?
-- Good: CHECK (age >= 18 AND age <= 65)
-- Test edge cases:
-- Minimum/maximum values
-- Boundary conditions
-- NULL handling
-- String patterns with LIKE/REGEXP
-- Date comparisons with different formats
-- Document constraints for team reference:
-- Constraint name, purpose, condition
-- Business rule being enforced
-- Example valid/invalid valuesRegularly review constraints as business rules evolve.
Advanced considerations for CHECK constraint violations:
1. Performance Impact: CHECK constraints add overhead to INSERT/UPDATE operations. Complex expressions or those involving multiple table scans can significantly impact performance. Use simple, indexed column constraints when possible.
2. Constraint Dependencies: CHECK constraints can reference multiple columns but cannot reference other tables or use subqueries. For cross-table validation, use triggers or application logic.
3. MySQL vs Other Databases: MySQL's CHECK constraint implementation differs from PostgreSQL and SQL Server:
- MySQL evaluates constraints per row, not per statement
- Constraint names are optional in MySQL but recommended
- MySQL doesn't support DEFERRABLE constraints
4. Upgrading from Older MySQL: When upgrading to MySQL 8.0.16+, existing applications may need schema updates to add CHECK constraints that were previously enforced only in application code.
5. Replication and CHECK Constraints: CHECK constraints are enforced on replicas. If master and replica have different constraint definitions, replication may break.
6. Constraint Violation Messages: MySQL error messages don't specify which row or exact condition failed. For debugging, you may need to:
- Log the data causing the violation
- Create test cases to isolate the failing condition
- Use application-level validation to catch issues earlier
7. ALTER TABLE with CHECK Constraints: When adding CHECK constraints to existing tables, use ALTER TABLE ... ADD CONSTRAINT ... NOT ENFORCED to create the constraint without immediate validation, then validate later with ALTER TABLE ... ENFORCE CONSTRAINT ....
8. Constraint Naming Conventions: Use consistent naming (e.g., chk_table_column_rule) to make errors more debuggable.
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