1, 1=1, 1=2 are often used in SQL statement combinations
"where 1=1" means to select all "where 1=2" means not to select all,
For example: if @strWhere! =''
begin
set @strSQL = 'select count(*) as Total from [' + @tblName + '] where ' + @strWhere
end
else
begin
set @strSQL = 'select count(*) as Total from [' + @tblName + ']'
end
We can write it directly
Error! Catalog entry not found.
set @strSQL = 'select count(*) as Total from [' + @tblName + '] where 1=1 '+ @strWhere 2. Shrink the database
--Rebuild the index
DBCC REINDEX
DBCC INDEXDEFRAG
--Shrink Data and logs
DBCC SHRINKDB
DBCC SHRINKFILE
3. Compress database
dbcc shrinkdatabase(dbname)
4. Transfer database to new users with existing user rights
exec sp_change_users_login 'update_one','newname','oldname'
go
5. Check the backup set
RESTORE VERIFYONLY from disk='E:dvbbs.bak'
6. Repair the database
ALTER DATABASE [dvbbs] SET SINGLE_USER
GO
DBCC CHECKDB('dvbbs',repair_allow_data_loss) WITH TABLOCK
GO
ALTER DATABASE [dvbbs] SET MULTI_USER
GO
7. Log clearing
SET NOCOUNT ON
DECLARE @LogicalFileName sysname,
@MaxMinutes INT,
@NewSize INT
USE tablename -- the database name to be operated
SELECT @LogicalFileName = 'table name_log', -- Log file name
@MaxMinutes = 10, -- Limit on time allowed to wrap log.
@NewSize = 1 -- The size of the log file you want to set (M)
Setup / initialize
DECLARE @OriginalSize int
SELECT @OriginalSize = size
FROM sysfiles
WHERE name = @LogicalFileName
SELECT 'Original Size of ' + db_name() + ' LOG is ' +
CONVERT(VARCHAR(30),@OriginalSize) + ' 8K pages or ' +
CONVERT (VARCHAR (30), (@OriginalSize*8/1024)) + 'MB' Starttime DateTime,
@trunClog Varchar (255)
Selects @Starttime = getdate (),
@trunclog = 'backup log' + db_name () + 'with truncate_only'
DBCC Shrinkfile (@LogicalFilename, @newsize)
Exec (@ TruncLog)
-- Wrap the log if necessary.
WHILE @MaxMinutes > DATEDIFF (mi, @StartTime, GETDATE()) -- time has not expired
AND @OriginalSize = (SELECT size FROM sysfiles WHERE name = @LogicalFileName)
AND (@OriginalSize * 8 /1024) > @NewSize
BEGIN -- Outer loop.
SELECT @Counter = 0
WHILE ((@Counter BEGIN -- update
INSERT DummyTrans VALUES ('Fill Log') DELETE DummyTrans
SELECT @Counter = @Counter + 1
END
EXEC (@TruncLog)
END
SELECT 'Final Size of ' + db_name() + ' LOG is ' +
CONVERT(VARCHAR(30),size) + ' 8K pages or ' +
CONVERT(VARCHAR(30),(size*8/1024)) + 'MB'
FROM sysfiles WHERE name = @LogicalFileName
DROP TABLE Dummytransy SET NOCOUNT OFF
8. Explanation: Change a table
Exec SP_CHANGEOBJECTOWNER 'TABLENAME', 'Dbo'
9. Storage and change all tables
ERBATCHo @Oldowner as nvarchar (128),
@newowner as NVARCHAR(128)
AS
DECLARE @Name as NVARCHAR(128)
DECLARE @Owner as NVARCHAR(128)
DECLARE @OwnerName as NVARCHAR(128)
DECLARE curObject CURSOR FOR
select 'Name' = name,'Owner' = user_name(uid) from sysobjects where user_name(uid)=@OldOwner order by name
OPEN curObject
FETCH NEXT FROM curObject INTO @Name, @Owner
WHILE(@@FETCH_STATUS=0)
BEGIN
if @Owner=@OldOwner
begin
set @OwnerName = @OldOwner + '.' + rtrim(@Name)
exec sp_changeobjectowner @OwnerName, @NewOwner
end
-- select @name,@NewOwner,@OldOwner
FETCH NEXT FROM curObject INTO @Name, @ Owner
END
close curObject
deallocate curObject
GO
10. Write data directly in a loop in SQL SERVER
declare @i int
set @i=1
while @i begin
insert into test (userid) values( @i) set @i=@i+1
end
Case:
There is a table below, which requires that all the unfailing grades be corrected, and on the basis of an increase of 0.1 each time, they will just pass: 9
while ((select min(score) from tb_table) begin
update tb_table set score =score*1.01
where score if (select min(score) from tb_table)>60
break
else
continue
End
The above is the content of the MYSQL Classic Statement - Techniques. For more related content, please pay attention to the PHP Chinese website (www.php.cn)!

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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