步骤一:
选取要导入的数据快儿,另外要多出一列,
步骤二:
将选中的数据快儿拷贝到一个新建的表格工作薄,然后“另存为” -》“文本文件(制表符分割)(*.txt)”,假如存到“D:da
步骤三:
根据要导入的数据快儿建立MySql数据库和表,然后使用命令
load da
进行导入操作。
现在数据已经全部导入到MySql里了,
让我们来select一下吧,如图:
到此,数据由Excel到MySql的转换已经完成。
下面说下,数据从MySql到Excel的转化,其过程其实还是借助那个“制表符分割”的文本文件。
将如要将这个表中的男生信息导入到Excel中,可以这样。
select * into outfile 'D:man.txt' from exceltomysql where xingbie="男";
如图:
这样,表中所有男生的信息都被输出到以制表符分割,'n'结尾的文本文件D:man.txt文件中。
你可以打开Excel,然后选择“数据”->“导入外部数据”->“导入数据”,选中“D:man.txt”,一路确定就行了。
好了,这个方法我们也是过了,可行度倒是可以,但是我们还是遇到了一个问题,那就是当我们导入有汉字的数据时,数据库的那个字段显示不了,有一点点乱码,但很多是空,不知道为什么,字段的属性是varchar,没错的,所以这一问题没有解决,我们只好又换!!!知道怎么回事的同学指点指点啊,先谢谢了!!!

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The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.

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MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

InnoDB effectively prevents phantom reading through Next-KeyLocking mechanism. 1) Next-KeyLocking combines row lock and gap lock to lock records and their gaps to prevent new records from being inserted. 2) In practical applications, by optimizing query and adjusting isolation levels, lock competition can be reduced and concurrency performance can be improved.


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