100分收缩日志？

[dlkfth]

完全恢复模式如何收缩日志？

[pengdali]

SET NOCOUNT ON
DECLARE @LogicalFileName sysname,
@MaxMinutes INT,
@NewSize INT


USE WebRoot -- 要操作的数据库名
SELECT @LogicalFileName = 'WebRoot_log', -- 日志文件名
@MaxMinutes = 10, -- Limit on time allowed to wrap log.
@NewSize = 100 -- 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 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 < @OriginalSize / 16) AND (@Counter < 50000))
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

[pengdali]

---------------截断日志：
backup log 数据库 with no_log
DBCC SHRINKDATABASE (数据库,TRUNCATEONLY )

[DoDone]

http://expert.csdn.net/Expert/topic/1846/1846114.xml?temp=.3004724

[caiyunxia]

dump log 数据库 with no_log

或
再企业管理器--所有任务--收缩数据库
或
再企业管理器--所有任务--分离数据库--删除日志文件
sp_attach_single_file_db

[joygxd]

backup log 数据库 with no_log

在收缩数据库

[daydayupliq]

select 'backup log '+name+' with truncate_only DBCC SHRINKDATABASE ('+name+', TRUNCATEONLY)' from sysdatabases where name<>'master' and name<>'tempdb' and name<>'model' and name<>'msdb' and name<>'pubs' and name<>'Northwind'

然后运行查询结果~