文章总结了多种SQL 日志清除常用的方法,有需要的朋友可参考一下本文章。
1 首先确认的是你能直接删除,他们是SQL SERVER 的错误日志,而不是数据库日志。
2 日志过大说明你没有截断错误日志,错误日志是可以截断的,进入你的数据库输入DBCC ERRORLOG
每执行一次,当前的错误日志推出,让后建立新的错误日志,你只能删除 ERRORLOG1 --- 6的错误日志
没有号码的是正在使用的日志,删除会报错,如果它比较大,就DBCC ERRORLOG,而后他会变成
ERRORLOG+编号,你就可以删除了,另外建议你把这些ERRORLOG 放到其他盘符,比较好管理
-收缩日志
代码如下 | 复制代码 |
USE [master] |
其它方法
在查询分析器中顺序执行以下三步,其中 databasename 为你的数据库文件名
代码如下 | 复制代码 |
1.清空日志:DUMP TRANSACTION databasename WITH NO_LOG 2.截断事务日志:BACKUP LOG databasename WITH NO_LOG 3.收缩数据库:DBCC SHRINKDATABASE(databasename) |
--//////////////////////////////////////////////////////////////////
SQL Server日志清空方法
清空日志。
1.打开查询分析器,输入命令 DUMP TRANSACTION 数据库名 WITH NO_LOG
2.再打开企业管理器--右键你要压缩的数据库--所有任务--收缩数据库--收缩文件--选择日志文件--在收缩方式里选择收缩至XXM,这里会给出一个允许收缩到的最小M数,直接输入这个数,确定就可以了
一个删除错误日志程序
sql server日志为啥会增长很快,
有一个程序每5秒钟写数据一次,然后数据库日志经常增长很快,怎么避免这样的事情发生呢?
怎么能让sql server日志增长不要这么快,数据文件才100M日志文件居然1G多。
代码如下 | 复制代码 |
--清除日志: DECLARE @LogicalFileName sysname, @MaxMinutes INT, @NewSize INT USE szwzcheck -- 要操作的数据库名 SELECT @LogicalFileName = 'szwzcheck_Log', -- 日志文件名 @MaxMinutes = 10, -- Limit on time allowed to wrap log. @NewSize = 20 -- 你想设定的日志文件的大小(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' FROM sysfiles WHERE name = @LogicalFileName CREATE TABLE DummyTrans(DummyColumn char (8000) not null) DECLARE @Counter INT, @StartTime DATETIME, @TruncLog VARCHAR(255) SELECT @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 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 DummyTrans SET NOCOUNT OFF |
--把szwzcheck换成你数据库的名字即可,在查询分析器里面运行。
--收缩日志:企业管理器--所有任务--收缩数据库--文件--选日志文件收缩

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

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MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

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SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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