简单的介绍了各种联合查询语句的用法,有inner join ,join left等多表联合查询,有需要的朋友可以参考一下。
INNER JOIN(等值连接) 只返回两个表中联结字段相等的行
LEFT JOIN(左联接) 返回包括左表中的所有记录和右表中联结字段相等的记录
RIGHT JOIN(右联接) 返回包括右表中的所有记录和左表中联结字段相等的记录
INNER JOIN 语法:
INNER JOIN 连接两个数据表的用法:
代码如下 | 复制代码 |
SELECT * FROM 表1 INNER JOIN 表2 ON 表1.字段号=表2.字段号 |
INNER JOIN 连接三个数据表的用法:
代码如下 | 复制代码 |
SELECT * FROM (表1 INNER JOIN 表2 ON 表1.字段号=表2.字段号) INNER JOIN 表3 ON 表1.字段号=表3.字段号 |
INNER JOIN 连接四个数据表的用法:
代码如下 | 复制代码 |
SELECT * FROM ((表1 INNER JOIN 表2 ON 表1.字段号=表2.字段号) INNER JOIN 表3 ON 表1.字段号=表3.字段号) INNER JOIN 表4 ON Member.字段号=表4.字段号 |
INNER JOIN 连接五个数据表的用法:
代码如下 | 复制代码 |
SELECT * FROM (((表1 INNER JOIN 表2 ON 表1.字段号=表2.字段号) INNER JOIN 表3 ON 表1.字段号=表3.字段号) INNER JOIN 表4 ON Member.字段号=表4.字段号) INNER JOIN 表5 ON Member.字段号=表5.字段号 |
SELECT tx_txurheber_urheber.uid, tx_txurheber_urheber.werkxurhadrd_kurzname, tx_vda_werke.d_WerksArt
FROM tx_txurheber_urheber
INNER JOIN tx_vda_werke ON tx_txurheber_urheber.fk_werk = tx_vda_werke._pk_Werk
AND tx_vda_werke.d_WerksArt = 'Theater'
LIMIT 0 , 30
连接六个数据表的用法:略,与上述联接方法类似,大家举一反三吧:)
注意事项:
•在输入字母过程中,一定要用英文半角标点符号,单词之间留一半角空格;
•在建立数据表时,如果一个表与多个表联接,那么这一个表中的字段必须是“数字”数据类型,而多个表中的相同字段必须是主键,而且是“自动编号”数据类型。否则,很难联接成功。
•代码嵌套快速方法:如,想连接五个表,则只要在连接四个表的代码上加一个前后括号(前括号加在FROM的后面,后括号加在代码的末尾即可),然后在后括号后面继续添加“INNER JOIN 表名X ON 表1.字段号=表X.字段号”代码即可,这样就可以无限联接数据表了:)

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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