sql2005 一个删除指定表的所有索引和统计的过程
代码如下:------------------------------------------------------------------------
-- Author : HappyFlyStone
-- Date : 2009-09-05 00:57:10
-- Version: Microsoft SQL Server 2005 - 9.00.2047.00 (Intel X86)
-- Apr 14 2006 01:12:25
-- Copyright (c) 1988-2005 Microsoft Corporation
-- Enterprise Edition on Windows NT 5.2 (Build 3790: Service Pack 2)
--
------------------------------------------------------------------------
IF EXISTS (SELECT name FROM sysobjects WHERE id = OBJECT_ID('sp_DropAllIndex')
AND OBJECTPROPERTY(OBJECT_ID('sp_DropAllIndex'),'IsProcedure')=1)
DROP PROCEDURE sp_DropAllIndex
GO
CREATE PROCEDURE sp_DropAllIndex
@tabname nvarchar(150) -- 需要删除统计或索引的表
AS
BEGIN
DECLARE @drop_idx_string nvarchar(4000) -- 存放动态组织而成的DROPS index/stats 语法
SET NOCOUNT ON
-- check table
IF NOT EXISTS (SELECT 1
FROM INFORMATION_SCHEMA.TABLES
WHERE table_type = 'base table' AND table_name = @tabname)
BEGIN
RAISERROR(N'------当前表:''%s'' 不存在!',16, 1, @tabname)
RETURN (1)
END
SET @tabname = OBJECT_ID(@tabname)
IF EXISTS (SELECT 1
FROM sysindexes
WHERE id=@tabname AND indid BETWEEN 1 AND 254
AND status IN (96,10485856,8388704))
BEGIN
SELECT @drop_idx_string = isnull(@drop_idx_string+';','')
+ ('DROP STATISTICS '+OBJECT_NAME(@tabname)+'.'+name)
FROM sysindexes
WHERE id=@tabname AND indid BETWEEN 1 AND 254
AND status IN (96,10485856,8388704)
END
IF Len(@drop_idx_string) > 0
BEGIN
PRINT N'------统计删除列表------'
PRINT @drop_idx_string+';'
EXECUTE(@drop_idx_string+';')
PRINT N'------统计删除结束------'
END
IF EXISTS (SELECT 1 FROM sysindexes
WHERE id=@tabname AND indid BETWEEN 1 AND 254
AND status NOT IN (96,10485856,8388704))
BEGIN
SET @drop_idx_string = NULL
select @drop_idx_string = isnull(@drop_idx_string+';'+CHAR(13)+CHAR(10),'')
+ ('DROP INDEX '+OBJECT_NAME(@tabname)+'.'+name)
FROM sysindexes
WHERE id=@tabname AND indid BETWEEN 1 AND 254
AND status NOT IN (96,10485856,8388704)
AND OBJECTPROPERTY (OBJECT_ID(name),'IsConstraint') IS NULL--过程不处理CONSTRAINTS
END
PRINT N'------索引删除列表------'
PRINT (@drop_idx_string+';')
EXEC( @drop_idx_string+';')
PRINT ('......'+CHAR(13)+CHAR(10)+'......')
PRINT N'------索引删除结束------'
END
GO
create clustered index idx_id on ta(id)
create index idx_col on ta(col)
go
sp_DropAllIndex 'ta'
/*
------索引删除列表------
DROP INDEX ta.idx_id;
DROP INDEX ta.idx_col;
......
......
------索引删除结束------
*/

BlobdatatypesinmysqlareusedforvoringLargebinarydatalikeImagesoraudio.1) Useblobtypes (tinyblobtolongblob) Basedondatasizeneeds. 2) Storeblobsin Perplate Petooptimize Performance.3) ConsidersxterNal Storage Forel Blob Romana DatabasesizerIndimprovebackupupe

ToadduserstoMySQLfromthecommandline,loginasroot,thenuseCREATEUSER'username'@'host'IDENTIFIEDBY'password';tocreateanewuser.GrantpermissionswithGRANTALLPRIVILEGESONdatabase.*TO'username'@'host';anduseFLUSHPRIVILEGES;toapplychanges.Alwaysusestrongpasswo

MySQLofferseightstringdatatypes:CHAR,VARCHAR,BINARY,VARBINARY,BLOB,TEXT,ENUM,andSET.1)CHARisfixed-length,idealforconsistentdatalikecountrycodes.2)VARCHARisvariable-length,efficientforvaryingdatalikenames.3)BINARYandVARBINARYstorebinarydata,similartoC

ToaddauserinMySQL,usetheCREATEUSERstatement.1)UseCREATEUSER'newuser'@'localhost'IDENTIFIEDBY'password';tocreateauser.2)Enforcestrongpasswordpolicieswithvalidate_passwordpluginsettings.3)GrantspecificprivilegesusingGRANTstatement.4)Forremoteaccess,use

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.


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

SublimeText3 English version
Recommended: Win version, supports code prompts!

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

Zend Studio 13.0.1
Powerful PHP integrated development environment
