The "Value too long for type" error occurs when attempting to insert or update a value that exceeds the defined length limit of a character column (VARCHAR(n), CHAR(n), or similar types).
Impact
This error prevents data insertion or updates, causing application failures and data loss if not handled properly. It indicates a mismatch between application expectations and database schema.
Common Causes
- Column defined with insufficient length
- User input exceeding expected limits
- Data from external sources longer than expected
- Missing input validation in application
- Schema not updated for new requirements
- Concatenation producing longer strings
- Multi-byte characters (UTF-8) using more storage
Troubleshooting and Resolution Steps
Identify the column and limit:
-- Check column definitions \d table_name -- Query column lengths SELECT column_name, character_maximum_length, data_type FROM information_schema.columns WHERE table_name = 'users';Increase column length:
-- Increase VARCHAR length ALTER TABLE users ALTER COLUMN email TYPE VARCHAR(255); -- Change to TEXT for unlimited length ALTER TABLE users ALTER COLUMN description TYPE TEXT; -- For multiple columns ALTER TABLE users ALTER COLUMN first_name TYPE VARCHAR(100), ALTER COLUMN last_name TYPE VARCHAR(100);Truncate data before insertion:
-- Truncate in INSERT INSERT INTO users (name, description) VALUES ( LEFT('Very Long Name...', 50), LEFT('Long description...', 500) ); -- Truncate in UPDATE UPDATE users SET description = LEFT(description, 500) WHERE LENGTH(description) > 500;Find oversized data:
-- Find rows with long values SELECT id, email, LENGTH(email) AS email_length FROM users WHERE LENGTH(email) > 100 ORDER BY email_length DESC; -- Check before altering column type SELECT MAX(LENGTH(column_name)) AS max_length FROM table_name;Application-level validation:
# Python validation def validate_input(text, max_length): if len(text) > max_length: # Option 1: Truncate return text[:max_length] # Option 2: Raise error # raise ValueError(f"Text exceeds {max_length} characters") # Option 3: Truncate with ellipsis # return text[:max_length-3] + '...' return text # Usage email = validate_input(user_email, 255) cursor.execute( "INSERT INTO users (email) VALUES (%s)", (email,) )Handle multi-byte characters:
-- UTF-8 characters can use multiple bytes -- LENGTH counts characters, octet_length counts bytes SELECT name, LENGTH(name) AS char_length, OCTET_LENGTH(name) AS byte_length FROM users; -- For byte-limited columns ALTER TABLE users ALTER COLUMN name TYPE VARCHAR(100); -- Stores up to 100 characters, regardless of byte countUse CHECK constraints for validation:
-- Prevent overly long values at database level ALTER TABLE users ADD CONSTRAINT name_length_check CHECK (LENGTH(name) <= 100); -- Combined with NOT NULL ALTER TABLE users ADD CONSTRAINT email_valid CHECK (LENGTH(email) > 0 AND LENGTH(email) <= 255);Handle truncation safely:
-- Create function for safe truncation CREATE OR REPLACE FUNCTION safe_insert_text( text_value TEXT, max_length INTEGER ) RETURNS VARCHAR AS $$ BEGIN IF text_value IS NULL THEN RETURN NULL; END IF; IF LENGTH(text_value) <= max_length THEN RETURN text_value::VARCHAR; END IF; RETURN SUBSTRING(text_value FROM 1 FOR max_length)::VARCHAR; END; $$ LANGUAGE plpgsql IMMUTABLE; -- Usage INSERT INTO users (name) VALUES (safe_insert_text('Very long name...', 50));Batch update for existing data:
-- Update oversized values UPDATE users SET description = LEFT(description, 500) WHERE LENGTH(description) > 500; -- Then adjust column size ALTER TABLE users ALTER COLUMN description TYPE VARCHAR(500);Schema design best practices:
-- Good: Reasonable limits based on requirements CREATE TABLE users ( id SERIAL PRIMARY KEY, email VARCHAR(255), -- Standard email length name VARCHAR(100), -- Reasonable name length phone VARCHAR(20), -- Standard phone length bio TEXT, -- Unlimited for long content notes TEXT -- Unlimited for variable content ); -- Avoid overly restrictive limits unless necessary -- Use TEXT for unknown/variable length content
Additional Information
- TEXT type has no length limit (up to 1GB)
- VARCHAR without length specification behaves like TEXT
- Consider business requirements when setting limits
- Multi-byte UTF-8 characters count as 1 character in LENGTH()
- CHAR(n) pads with spaces, VARCHAR(n) doesn't
- Validate data in application before database insertion
- Document column length requirements
- Consider future growth when sizing columns
Frequently Asked Questions
Q: What's the maximum length for VARCHAR?
A: Technically up to ~1GB, but practical limit with length specification is VARCHAR(10485760). For unlimited, use TEXT.
Q: Should I use VARCHAR or TEXT?
A: Use VARCHAR(n) when you have a known maximum length. Use TEXT for variable or unlimited length. Both have similar performance in PostgreSQL.
Q: Does VARCHAR(255) vs VARCHAR(1000) affect performance?
A: No, PostgreSQL stores actual string length. The limit only enforces maximum size. Storage is the same for same actual content.
Q: How do I change VARCHAR(50) to TEXT?
A: ALTER TABLE table_name ALTER COLUMN column_name TYPE TEXT; - this is safe and doesn't require table rewrite in most cases.
Q: Can I truncate automatically instead of getting an error?
A: Not by default. Use application validation or CREATE a BEFORE INSERT trigger to truncate.
Q: What's the difference between LENGTH and OCTET_LENGTH?
A: LENGTH counts characters, OCTET_LENGTH counts bytes. In UTF-8, multi-byte characters have different values for each.
Q: How do I handle data that's occasionally too long?
A: Either increase column size, use TEXT type, or implement truncation in application with user notification.
Q: Does this error occur with TEXT type?
A: No, TEXT has no enforced length limit. You'd only hit storage limits (1GB).