sql批量删除数据与批量删除数据库表语句
我们介绍了二种批量删除数据的方法(游标形式和sql存储过程),同时还介绍了批量删除数据库表的方法,有需要的同学可参考一下。
游标删除方法
代码如下 | 复制代码 |
//定义游标 DECLARE tables_cursor CURSOR FOR SELECT name FROM sysobjects WHERE type = 'U' //选择用户表名 OPEN tables_cursor //打开游标连接
DECLARE @tablename sysname // 定义变量 FETCH NEXT FROM tables_cursor INTO @tablename //结果集中一行一行读取表名 WHILE (@@FETCH_STATUS -1) //判断游标状态 BEGIN
EXEC ('TRUNECATE TABLE ' + @tablename) //清空表中的数据 FETCH NEXT FROM tables_cursor INTO @tablename //下一行数据 END
DEALLOCATE tables_cursor //关闭游标 |
/42850.htm target=_blank >sql存储过程实例地
代码如下 | 复制代码 |
Create PROCEDURE Batch_Delete Set @PointerPrev = 1 |
网上找的批量删除表方法
代码如下 | 复制代码 |
/*-------------------------------- 功能说明: 批量DropTable 使用说明: 使用时一定要小心,因为删选表的where条件是like所有必须保证where 后的like确定与你要删除表名相匹配 ---------------------------------*/ --------参数定义------------------- DECLARE @tableName AS Nvarchar(50) --查询表名条件(小心!,确保like条件是你要Drop的表.TableName尽量精确) SET @tableName='test' -------------------------------------- --SELECT name FROM sys.tables WHERE name LIKE '%'+@tableName+'%' --查询出要删除表的名称 IF @tableName='' SET @tableName='tableName'--初始化TableName为tableName,防止@tableName为空 DECLARE @tableNames AS Nvarchar(3000) DECLARE @sql AS Nvarchar(3000) SET @tableNames= (SELECT ','+name FROM sys.tables WHERE name LIKE '%'+@tableName+'%' FOR XML PATH('')) SET @tableNames= Stuff(@tableNames,1,1,'') SET @sql='DROP TABLE '+@tableNames EXEC(@sql) |

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.
