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Description

MariaDB Error 1329, also known as SQLSTATE 02000 (No Data), indicates that a SQL operation, such as a SELECT statement or a FETCH cursor operation within a stored procedure, did not return any rows. This means the database found no records matching the specified criteria, resulting in an empty result set.

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Error Message

No data - zero rows fetched, selected, or processed

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Known Causes

4 known causes

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No Matching Data Found

The query's conditions (e.g., `WHERE` clause) or the criteria used for fetching data did not match any existing records in the database.

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Empty Table or View

The database table or view from which data was expected to be retrieved currently contains no rows at all.

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Incorrect Filtering Logic

Application code or stored procedure parameters are applying filters that inadvertently exclude all potential matching rows, leading to an empty result.

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Data Not Yet Present

The data expected by the operation has not been inserted, committed, or is otherwise unavailable in the database at the time of the query.

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Solutions

4 solutions available

1. Verify Your Query's WHERE Clause and Data Existence easy

Ensure your SELECT query's WHERE clause correctly matches existing data.

1

Examine the `WHERE` clause in your SQL query. This is the most common reason for Error 1329. Make sure the conditions you've specified accurately reflect the data you expect to retrieve. For example, if you're filtering by a user ID, confirm that the ID actually exists in the table.

SELECT column1, column2 FROM your_table WHERE id = 123;

2

Run a simple `SELECT *` query on the table you are querying to get a feel for the data present. This will help you understand what values are available to match against your `WHERE` clause.

SELECT * FROM your_table LIMIT 10;

3

If your `WHERE` clause uses variables or parameters, ensure they are being populated with the correct values before the query is executed. Debugging your application code that constructs the query is crucial here.

/* Example in application code (conceptual) */
let userId = 456;
let query = `SELECT * FROM users WHERE user_id = ${userId}`;

2. Check for Typos and Case Sensitivity easy

Investigate potential spelling errors or case mismatches in your query conditions.

1

Carefully review all column names, table names, and literal values used in your `WHERE` clause. A simple typo can lead to no rows being returned. For example, `user_id` vs. `userid` or `Status` vs. `status`.

SELECT * FROM orders WHERE customer_name = 'John Doe'; /* Check 'John Doe' for exact spelling */

2

Be mindful of case sensitivity. While table and column names might be case-insensitive on some operating systems, string comparisons in `WHERE` clauses are typically case-sensitive by default. If you need case-insensitive comparisons, use functions like `LOWER()` or `UPPER()`.

SELECT * FROM products WHERE LOWER(product_name) = 'widget'; /* Case-insensitive comparison */

3. Investigate Joins and Relationships medium

Verify that the join conditions are correct and that matching records exist in all joined tables.

1

If your query involves `JOIN` operations, ensure that the `ON` clause correctly links the tables based on common columns. Incorrect join conditions will result in no matching rows being found across all tables.

SELECT o.order_id, c.customer_name FROM orders o JOIN customers c ON o.customer_id = c.id WHERE c.country = 'USA';

2

For each table involved in a `JOIN`, confirm that there are records that satisfy the join condition. For instance, if you are joining `orders` to `customers` on `customer_id`, ensure that every `customer_id` in the `orders` table has a corresponding `id` in the `customers` table.

/* Check if all customer_ids in orders exist in customers */
SELECT DISTINCT o.customer_id FROM orders o LEFT JOIN customers c ON o.customer_id = c.id WHERE c.id IS NULL;

3

Consider the type of join (`INNER JOIN`, `LEFT JOIN`, `RIGHT JOIN`). An `INNER JOIN` will only return rows where there is a match in *both* tables. If you expect to see rows from one table even if there's no match in the other, use a `LEFT JOIN` or `RIGHT JOIN` and handle potential `NULL` values.

SELECT c.customer_name, o.order_id FROM customers c LEFT JOIN orders o ON c.id = o.customer_id;

4. Examine Stored Procedures and Functions advanced

Debug stored procedures or functions that are returning no data.

1

If the query that returns Error 1329 is part of a stored procedure or function, examine the procedure/function's logic step-by-step. Use `SELECT` statements within the procedure/function to inspect intermediate results and pinpoint where the data is being lost.

DELIMITER //
CREATE PROCEDURE my_procedure(IN input_param INT)
BEGIN
  SELECT 'Before query';
  SELECT * FROM my_table WHERE id = input_param;
  SELECT 'After query';
END //
DELIMITER ;
CALL my_procedure(1);

2

Use debugging tools or add logging within your stored procedure/function to track variable values and execution flow. This can help identify conditions that lead to an empty result set.

/* Example using temporary tables for logging within a procedure */
CREATE TEMPORARY TABLE debug_log (message TEXT);
INSERT INTO debug_log VALUES ('Starting procedure');
-- ... your query ...
IF ROW_COUNT() = 0 THEN
  INSERT INTO debug_log VALUES ('Query returned no rows');
END IF;

3

Ensure that any variables used in `WHERE` clauses within stored procedures/functions are correctly assigned and have valid values before the query is executed.

SET @my_variable = 10;
SELECT * FROM another_table WHERE status_id = @my_variable;

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Related Errors

5 related errors

MariaDB Error 1329: No Data Fetched