


How to Suppress \'Error 1329: No Data\' in Stored Procedures That Don\'t Return Data?
Overcoming the "Error 1329: No Data" Dilemma
Many developers encounter the frustrating "Error 1329: No data - zero rows fetched, selected, or processed" when executing stored procedures. However, this error often occurs even when the procedure functions correctly, raising the question of how to suppress this unnecessary message.
One potential solution lies within the stored procedure itself. By default, stored procedures are expected to return a result set. However, if the procedure performs operations that do not yield any data (such as data manipulation or record updates), it will trigger the error message.
To resolve this, we can modify the stored procedure to explicitly indicate that it does not return any data. This can be achieved by adding the following line to the beginning of the procedure:
<code class="sql">READS SQL DATA</code>
This line informs the database that the procedure will only read from tables and will not return any rows.
Another approach involves handling the NOT FOUND exception within the procedure. When a cursor is used to fetch rows from a table, it may encounter a scenario where there are no more rows to fetch. This will cause the cursor to raise a NOT FOUND exception. By trapping this exception and setting a flag, we can avoid the error message.
<code class="sql">DECLARE CONTINUE HANDLER FOR NOT FOUND SET done = 1;</code>
By adding this line, we instruct the database to set the done flag to 1 when the cursor encounters the NOT FOUND exception. This flag can then be used to exit the cursor loop and complete the procedure without triggering the error message.
Finally, another workaround is to execute an additional dummy query that reads from a table and is successful. This will clear the warning on MySQL 5.5.13.
<code class="sql">SELECT name INTO l_name FROM customer_tbl LIMIT 1;</code>
By following these approaches, developers can suppress the "Error 1329" message for stored procedures that do not return any data, ensuring a smoother execution without unnecessary error prompts.
The above is the detailed content of How to Suppress \'Error 1329: No Data\' in Stored Procedures That Don\'t Return Data?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.
