Error
Error Code:
1329
MySQL Error 1329: No Data Fetched
Description
MySQL Error 1329, also known by SQLSTATE 02000, indicates that a database operation, such as a SELECT query or a stored procedure's FETCH statement, did not return any rows. It signifies an empty result set rather than a system malfunction, often occurring when querying for non-existent data or iterating through an exhausted cursor.
Error Message
No data - zero rows fetched, selected, or processed
Known Causes
3 known causesQuerying Non-Existent Data
A SELECT statement was executed with criteria that do not match any existing records in the database, resulting in an empty result set.
Exhausted Cursor in Stored Procedure
A FETCH operation within a stored procedure or application code attempted to retrieve data from a cursor that had already returned all available rows, or the cursor was initially empty.
Overly Restrictive Query Conditions
The WHERE clause or other filtering conditions in a query were too specific or incorrectly formulated, causing all potential rows to be excluded from the result set.
Solutions
4 solutions available1. Verify Query Logic and Conditions easy
Ensure your SELECT query is correctly written and that the WHERE clause matches existing data.
1
Examine the `SELECT` statement for any typos or incorrect column names. Make sure you are selecting columns that actually exist in the table.
2
Carefully review the `WHERE` clause. Check for:
- Incorrect values being compared.
- Case sensitivity issues in string comparisons (if applicable).
- Mismatched data types in comparisons.
- Logic errors (e.g., using `OR` when `AND` was intended, or vice-versa).
- Incorrect values being compared.
- Case sensitivity issues in string comparisons (if applicable).
- Mismatched data types in comparisons.
- Logic errors (e.g., using `OR` when `AND` was intended, or vice-versa).
SELECT column1, column2 FROM your_table WHERE condition1 = 'some_value' AND condition2 > 10;
3
If you are joining tables, verify that the `JOIN` conditions are correct and that there are indeed matching records in both tables based on those conditions.
SELECT t1.colA, t2.colB FROM table1 t1 JOIN table2 t2 ON t1.id = t2.foreign_id WHERE t1.status = 'active';
4
Temporarily remove the `WHERE` clause or simplify it to retrieve all rows. If data is returned, the issue lies within your original `WHERE` clause.
SELECT column1, column2 FROM your_table;
2. Check for Data Existence easy
Confirm that the data you expect to retrieve actually exists in the database.
1
Manually inspect the table in question using a simple `SELECT *` query to see its contents.
SELECT * FROM your_table LIMIT 10;
2
If you're looking for specific records, use `SELECT *` with the exact criteria from your original query to verify if any rows match.
SELECT * FROM your_table WHERE id = 123 AND name = 'Example Name';
3
If you are using a stored procedure or function, ensure that the parameters passed to it are correct and that the internal logic of the procedure/function is also fetching data.
CALL your_stored_procedure('input_value');
3. Inspect Application Code and ORM Usage medium
If the error occurs within an application, review the code that constructs and executes the SQL query.
1
If you're using an Object-Relational Mapper (ORM) like SQLAlchemy, Eloquent, or Hibernate, inspect the generated SQL query. Most ORMs provide a way to log or print the SQL they execute.
Example (SQLAlchemy logging configuration):
import logging
logging.basicConfig()
logging.getLogger('sqlalchemy.engine').setLevel(logging.INFO)
2
Check how variables and parameters are being passed to your SQL queries from your application. Ensure that the values are correctly formatted and not unintentionally resulting in no matches.
Example (Python with psycopg2):
cursor.execute("SELECT * FROM users WHERE id = %s", (user_id,))
3
Debug the application code to step through the query execution and inspect the values being used in the `WHERE` clause just before the query is sent to the database.
4. Analyze Table and Index Health advanced
While less common for 'No Data Fetched', ensure tables and indexes are not corrupted or incorrectly configured.
1
Run `ANALYZE TABLE your_table;` to update table statistics. This can sometimes help the query optimizer make better decisions, though it's unlikely to directly cause zero rows fetched unless statistics are severely out of date.
ANALYZE TABLE your_table;
2
Check for potential table corruption by running `CHECK TABLE your_table;`. If corruption is detected, you may need to repair the table.
CHECK TABLE your_table;
3
If you suspect index issues, consider dropping and recreating relevant indexes, but only after careful consideration and backup, as this can impact performance and require downtime.
DROP INDEX index_name ON your_table;
CREATE INDEX index_name ON your_table (column_name);