MySQL可以根据查询到的记录集插入到指定的表中其例子为:
首先阐述三张表的结构:
s(sno,sname.sex,age,dept) //学生信息表
c(cno,cname,tname) //课程信息表
sc(sno,cno,grade) //课程选修信息表那么现在就是问题是:
将一门课的成绩大于等于80分学生的学号、姓名和系名插入到一个已存在(要建立)基本表stu(sno,sname,dept)中
stu表已存在 数据库Schema为:
<span style="font-size:18px;color:#FF0000;">drop table if EXISTS stu ; create table stu ( sno int(4) unique , sname varchar(20), dept varchar(10) );</span>
那么现在将结果的sql语句写出来:
<span style="font-size:18px;color:#FF0000;">insert into stu (sno,sname,dept) select sno ,sname , dept from s where s.sno in (select sc.sno from sc where sc.grade >= 80 ); </span>
接下来是上面的sql语句的语法规则 :
INSERT INTO 表名1(字段列表1) SELECT 字段列表2 FROM 表名2 WHERE 条件表达式;表名1:表示记录插入到哪个表中。字段列表1:表示为哪些字段赋值。字段列表2:表示从表中查询出哪些字段的数据。表名2:表示记录是从哪个表中查询出来的。条件表达式:表示设置SELECT语句的查询条件。
将“表名2”中查询出来的记录插入到“表名1”中以后,“表名2”中仍然保存着原来的记录。
提示:
使用这种方法时,必须保证“字段列表1”和“字段列表2”中的字段个数是一样的,同时,也必须保证每个对应的字段的数据类型是一样的。如果数据类型不一样,数据库系统会报错。然后,阻止INSERT语句向下执行。

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.

The main reasons for poor MySQL query performance include not using indexes, wrong execution plan selection by the query optimizer, unreasonable table design, excessive data volume and lock competition. 1. No index causes slow querying, and adding indexes can significantly improve performance. 2. Use the EXPLAIN command to analyze the query plan and find out the optimizer error. 3. Reconstructing the table structure and optimizing JOIN conditions can improve table design problems. 4. When the data volume is large, partitioning and table division strategies are adopted. 5. In a high concurrency environment, optimizing transactions and locking strategies can reduce lock competition.

In database optimization, indexing strategies should be selected according to query requirements: 1. When the query involves multiple columns and the order of conditions is fixed, use composite indexes; 2. When the query involves multiple columns but the order of conditions is not fixed, use multiple single-column indexes. Composite indexes are suitable for optimizing multi-column queries, while single-column indexes are suitable for single-column queries.

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.


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