昨天做项目需要导数据,从server97中的数据库(正式数据库)到数据到server46(测试数据库),平时都是查询出来然后复制到另一张表,由于数据小,没有什么不妥,但是这次由于其中某些表数据量比较大,二十来万条记录,直接复制粘贴,耗费大量IO,二十多分钟
昨天做项目需要导数据,从server97中的数据库(正式数据库)到数据到server46(测试数据库),平时都是查询出来然后复制到另一张表,由于数据小,没有什么不妥,但是这次由于其中某些表数据量比较大,二十来万条记录,直接复制粘贴,耗费大量IO,二十多分钟都没有成功,郁闷不已。本来打算导出到Excel中,再导入数据库,但是Excel一次容不下这么多条数据。
没办法,只好上网查询怎么跨服务器查询导入,最后成功解决问题,二十多万条记录三秒多就导入成功啦,爽歪歪,哈哈!采用的是红色代码,具体办法如下:
用openrowset连接远程SQL或插入数据
--如果只是临时访问,可以直接用openrowset
--查询示例
select * from openrowset('SQLOLEDB', 'sql服务器名'; '用户名'; '密码', 数据库名.dbo.表名)
--导入示例
select * into 表 from openrowset('SQLOLEDB' ,'sql服务器名';'用户名';'密码' ,数据库名.dbo.表名)
--创建链接服务器
exec sp_addlinkedserver 'srv_lnk', '', 'SQLOLEDB','远程服务器名或ip地址'
exec sp_addlinkedsrvlogin 'srv_lnk','false',null,'用户名','密码'
go
--查询示例
select * from srv_lnk.数据库名.dbo.表名
--导入示例
select * into 表 from srv_lnk.数据库名.dbo.表名
--以后不再使用时删除链接服务器
exec sp_dropserver 'srv_lnk','droplogins'
go

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.

MySQL is not a programming language, but its query language SQL has the characteristics of a programming language: 1. SQL supports conditional judgment, loops and variable operations; 2. Through stored procedures, triggers and functions, users can perform complex logical operations in the database.

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.


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