Error
Error Code:
2032
MySQL Error 2032: Data Truncated
Description
This error indicates that data was shortened or rejected because it exceeded the storage capacity of a column or did not conform to its data type. It commonly occurs during INSERT or UPDATE operations when the provided value is too long for the target column.
Error Message
Data truncated
Known Causes
3 known causesColumn Length Exceeded
Attempting to insert a string or value that is longer than the defined maximum length for the target column.
Strict SQL Mode Enabled
With strict SQL mode enabled, MySQL treats data truncation as an error, rejecting the statement instead of silently truncating the data.
Character Set Mismatch
If the character set of the data being inserted differs from the column's character set, certain characters might require more bytes, leading to truncation.
Solutions
3 solutions available1. Adjust Column Data Type Length easy
Increase the length of the affected column's data type to accommodate the data being inserted.
1
Identify the table and column that are causing the 'Data truncated' error. This usually involves examining the SQL statement that triggered the error and the schema of the involved table.
2
Determine the maximum length of the data you are trying to insert. You can do this by inspecting the data itself or by checking the length of the string/value being provided.
3
Alter the table to increase the size of the data type for the identified column. For example, if you are inserting a string longer than the `VARCHAR(255)` limit, you might increase it to `VARCHAR(500)`.
ALTER TABLE your_table_name MODIFY COLUMN your_column_name VARCHAR(new_length);4
If the column is a `TEXT` type, ensure it's not a `TINYTEXT` or `MEDIUMTEXT` if your data exceeds their limits. Consider `LONGTEXT` for very large data.
ALTER TABLE your_table_name MODIFY COLUMN your_column_name LONGTEXT;5
Re-run the SQL statement that previously failed.
2. Truncate Data Before Insertion easy
Modify the incoming data to fit the existing column constraints.
1
Identify the table, column, and the specific data that is causing the truncation error.
2
In your application code or SQL query, truncate the data before it is sent to the database. For example, if you have a `VARCHAR(100)` column and a string of 150 characters, take only the first 100 characters.
your_string = your_string[:100]3
Alternatively, use SQL functions like `LEFT()` or `SUBSTRING()` within your `INSERT` or `UPDATE` statements if you cannot modify the source data directly.
INSERT INTO your_table_name (your_column_name) VALUES (LEFT(your_data, 100));4
Be aware that this method results in data loss. Ensure this is acceptable for your use case.
3. Review and Correct Data Types medium
Ensure the data type of the column accurately reflects the type of data being stored.
1
Examine the `CREATE TABLE` statement or use `DESCRIBE your_table_name;` to understand the data types of your columns.
DESCRIBE your_table_name;2
Compare the data you are trying to insert with the defined data types. For instance, are you trying to insert a long string into an `INT` column? Or a date into a `VARCHAR` column without proper formatting?
3
If the data type is incorrect, alter the table to use the appropriate type. For example, if you are storing large text, use `TEXT` or `LONGTEXT` instead of `VARCHAR` if length is a concern.
ALTER TABLE your_table_name MODIFY COLUMN your_column_name TEXT;4
If you are inserting numerical data, ensure it fits within the range of the chosen numerical type (e.g., `INT`, `BIGINT`, `SMALLINT`).
5
If you are inserting dates or timestamps, ensure the format matches what MySQL expects or cast it appropriately.
INSERT INTO your_table_name (your_date_column) VALUES (STR_TO_DATE('2023-10-27', '%Y-%m-%d'));