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MYSQL嵌套游标产生混乱的解决方法及注意地方 1. 在编写存储过程中, 有时会处理些较复杂的数据, 用到多个游标, 并且嵌套使用,如果控制不好,在子层游标记录处理完后, 上层游标也会捕获NOT FOUND异常, 并改变标示值. 产生数据混乱.例: [sql] BEGIN DECLARE name_stop int default 0; DECLARE cur_name CURSOR FOR SELECT NAME FROM mytable; DECLARE CONTINUE HANDLER FOR NOT FOUND SET name_stop =1; open cur_name; FETCH cur_name into v_name; START TRANSACTION; BEGIN DECLARE ext_stop int DEFAULT 0; DECLARE cur_ext CURSOR for select propertyid from propertys; DECLARE CONTINUE HANDLER FOR NOT FOUND SET ext_stop =1; .............................. 当子层cur_ext游标记录处理完后, 会抛出NOT FOUND, 不仅影响自身, 而且上层游标也会受影响, name_stop 会变成1, 这时就会跳出循环, 不再执行.
解决的办法是加入标记块放置复合语句中,如: BLOCK1:BEGIN....END BLOCK1;限制作用范围, 这样就能解决各游标间的干扰. 2. 在实际使用中, 可能会采用SELECT ... INTO ...语句进行赋值, 但是如果没有找到记录, 是不会把NULL值赋给相应变量, 而是抛出NOT FOUND.如果采用了游标, 这将会影响正常使用.所以, 最好把select into语句放入单独的复合语句, 并加入标记块,注意, 需要加入一个临时的HANDLER, 如果没有HANDLER捕获, 仍会跳入上层, 影响游标.正确使用方法, 如下所示: [sql] BLOCK4: BEGIN DECLARE temp_a int default 0; declare continue handler for not found set temp_a = -1; select account into v_exist_account from t_user where account = v_account limit 1; end BLOCK4; 如果v_exist_account有后续业务处理, 记得处理完后要清空值. 摘自 hxx688的专栏 bitsCN.com

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

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.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

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

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.

The steps to build a MySQL database include: 1. Create a database and table, 2. Insert data, and 3. Conduct queries. First, use the CREATEDATABASE and CREATETABLE statements to create the database and table, then use the INSERTINTO statement to insert the data, and finally use the SELECT statement to query the data.

MySQL is suitable for beginners because it is easy to use and powerful. 1.MySQL is a relational database, and uses SQL for CRUD operations. 2. It is simple to install and requires the root user password to be configured. 3. Use INSERT, UPDATE, DELETE, and SELECT to perform data operations. 4. ORDERBY, WHERE and JOIN can be used for complex queries. 5. Debugging requires checking the syntax and use EXPLAIN to analyze the query. 6. Optimization suggestions include using indexes, choosing the right data type and good programming habits.


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