我有一个服务器数据库中的表结构，我想将数据复制到另一个服务器数据库表。如何实现它？
注：（失败案例）
尝试1：我想备份和还原，它失败，原因是版本的问题（10.50.2500不匹配10.00.4064）。
尝试2：出口和进口，以验证错误等..没有从源副本到目的地
尝试3：（由于失败不同的服务器）从不同的服务器数据库复制表数据到不同的服务器数据库我
INSERT INTO [DB_NAME]..[dbo].[TABLE_NAME]
SELECT * FROM [DB_NAME]..[dbo].[TABLE_NAME]
（而不是上述语法我用这样也有它解析错误）
INSERT INTO [SERVER_NAME].[DB_NAME]..[dbo].[TABLE_NAME]
SELECT * FROM [SERVER_NAME].[DB_NAME]..[dbo].[TABLE_NAME]
有很多方法可以做到这一点 -
1.生成该脚本CVS和做外销的数据（它的工作对任何表结构）：
DECLARE
@TableName SYSNAME
, @ObjectID INT
DECLARE [tables] CURSOR READ_ONLY FAST_FORWARD LOCAL FOR
SELECT
'[' + s.name + '].[' + t.name + ']'
, t.[object_id]
FROM (
SELECT DISTINCT
t.[schema_id]
, t.[object_id]
, t.name
FROM sys.objects t WITH (NOWAIT)
JOIN sys.partitions p WITH (NOWAIT) ON p.[object_id] = t.[object_id]
WHERE p.[rows] > 0
AND t.[type] = 'U'
) t
JOIN sys.schemas s WITH (NOWAIT) ON t.[schema_id] = s.[schema_id]
WHERE t.name IN ('<your_table_name>')
OPEN [tables]
FETCH NEXT FROM [tables] INTO
@TableName
, @ObjectID
DECLARE
@SQLInsert NVARCHAR(MAX)
, @SQLColumns NVARCHAR(MAX)
, @SQLTinyColumns NVARCHAR(MAX)
WHILE @@FETCH_STATUS = 0 BEGIN
SELECT
@SQLInsert = ''
, @SQLColumns = ''
, @SQLTinyColumns = ''
;WITH cols AS
(
SELECT
c.name
, datetype = t.name
, c.column_id
FROM sys.columns c WITH (NOWAIT)
JOIN sys.types t WITH (NOWAIT) ON c.system_type_id = t.system_type_id AND c.user_type_id = t.user_type_id
WHERE c.[object_id] = @ObjectID
AND c.is_computed = 0
AND t.name NOT IN ('xml', 'geography', 'geometry', 'hierarchyid')
)
SELECT
@SQLTinyColumns = STUFF((
SELECT ', [' + c.name + ']'
FROM cols c
ORDER BY c.column_id
FOR XML PATH, TYPE, ROOT).value('.', 'NVARCHAR(MAX)'), 1, 2, '')
, @SQLColumns = STUFF((SELECT CHAR(13) +
CASE
WHEN c.datetype = 'uniqueidentifier'
THEN ' + '';'' + ISNULL('''' + CAST([' + c.name + '] AS VARCHAR(MAX)) + '''', ''NULL'')'
WHEN c.datetype IN ('nvarchar', 'varchar', 'nchar', 'char', 'varbinary', 'binary')
THEN ' + '';'' + ISNULL('''' + CAST(REPLACE([' + c.name + '], '''', '''''''') AS NVARCHAR(MAX)) + '''', ''NULL'')'
WHEN c.datetype = 'datetime'
THEN ' + '';'' + ISNULL('''' + CONVERT(VARCHAR, [' + c.name + '], 120) + '''', ''NULL'')'
ELSE
' + '';'' + ISNULL(CAST([' + c.name + '] AS NVARCHAR(MAX)), ''NULL'')'
END
FROM cols c
ORDER BY c.column_id
FOR XML PATH, TYPE, ROOT).value('.', 'NVARCHAR(MAX)'), 1, 10, 'CHAR(13) + '''' +')
DECLARE @SQL NVARCHAR(MAX) = '
SET NOCOUNT ON;
DECLARE
@SQL NVARCHAR(MAX) = ''''
, @x INT = 1
, @count INT = (SELECT COUNT(1) FROM ' + @TableName + ')
IF EXISTS(
SELECT 1
FROM tempdb.dbo.sysobjects
WHERE ID = OBJECT_ID(''tempdb..#import'')
)
DROP TABLE #import;
SELECT ' + @SQLTinyColumns + ', ''RowNumber'' = ROW_NUMBER() OVER (ORDER BY ' + @SQLTinyColumns + ')
INTO #import
FROM ' + @TableName + '
WHILE @x < @count BEGIN
SELECT @SQL = STUFF((
SELECT ' + @SQLColumns + ' + ''''' + '
FROM #import
WHERE RowNumber BETWEEN @x AND @x + 9
FOR XML PATH, TYPE, ROOT).value(''.'', ''NVARCHAR(MAX)''), 1, 1, '''')
PRINT(@SQL)
SELECT @x = @x + 10
END'
EXEC sys.sp_executesql @SQL
FETCH NEXT FROM [tables] INTO
@TableName
, @ObjectID
END
CLOSE [tables]
DEALLOCATE [tables]
输出：
1;EM;0;NULL;Ken;J;Sánchez;NULL;0;92C4279F-1207-48A3-8448-4636514EB7E2;2003-02-08 00:00:00
2;EM;0;NULL;Terri;Lee;Duffy;NULL;1;D8763459-8AA8-47CC-AFF7-C9079AF79033;2002-02-24 00:00:00
3;EM;0;NULL;Roberto;NULL;Tamburello;NULL;0;E1A2555E-0828-434B-A33B-6F38136A37DE;2001-12-05 00:00:00
4;EM;0;NULL;Rob;NULL;Walters;NULL;0;F2D7CE06-38B3-4357-805B-F4B6B71C01FF;2001-12-29 00:00:00
2.生成的INSERT语句通过此脚本并插入数据（它适用于任何表结构）：
DECLARE
@TableName SYSNAME
, @ObjectID INT
, @IsImportIdentity BIT = 1
DECLARE [tables] CURSOR READ_ONLY FAST_FORWARD LOCAL FOR
SELECT
'[' + s.name + '].[' + t.name + ']'
, t.[object_id]
FROM (
SELECT DISTINCT
t.[schema_id]
, t.[object_id]
, t.name
FROM sys.objects t WITH (NOWAIT)
JOIN sys.partitions p WITH (NOWAIT) ON p.[object_id] = t.[object_id]
WHERE p.[rows] > 0
AND t.[type] = 'U'
) t
JOIN sys.schemas s WITH (NOWAIT) ON t.[schema_id] = s.[schema_id]
WHERE t.name IN ('<your_table_name>')
OPEN [tables]
FETCH NEXT FROM [tables] INTO
@TableName
, @ObjectID
DECLARE
@SQLInsert NVARCHAR(MAX)
, @SQLColumns NVARCHAR(MAX)
, @SQLTinyColumns NVARCHAR(MAX)
WHILE @@FETCH_STATUS = 0 BEGIN
SELECT
@SQLInsert = ''
, @SQLColumns = ''
, @SQLTinyColumns = ''
;WITH cols AS
(
SELECT
c.name
, datetype = t.name
, c.column_id
FROM sys.columns c WITH (NOWAIT)
JOIN sys.types t WITH (NOWAIT) ON c.system_type_id = t.system_type_id AND c.user_type_id = t.user_type_id
WHERE c.[object_id] = @ObjectID
AND (c.is_identity = 0 OR @IsImportIdentity = 1)
AND c.is_computed = 0
AND t.name NOT IN ('xml', 'geography', 'geometry', 'hierarchyid')
)
SELECT
@SQLInsert = 'INSERT INTO ' + @TableName + ' (' + STUFF((
SELECT ', [' + c.name + ']'
FROM cols c
ORDER BY c.column_id
FOR XML PATH, TYPE, ROOT).value('.', 'NVARCHAR(MAX)'), 1, 2, '') + ')'
, @SQLTinyColumns = STUFF((
SELECT ', ' + c.name
FROM cols c
ORDER BY c.column_id
FOR XML PATH, TYPE, ROOT).value('.', 'NVARCHAR(MAX)'), 1, 2, '')
, @SQLColumns = STUFF((SELECT CHAR(13) +
CASE
WHEN c.datetype = 'uniqueidentifier'
THEN ' + '', '' + ISNULL('''''''' + CAST([' + c.name + '] AS VARCHAR(MAX)) + '''''''', ''NULL'')'
WHEN c.datetype IN ('nvarchar', 'varchar', 'nchar', 'char', 'varbinary', 'binary')
THEN ' + '', '' + ISNULL('''''''' + CAST(REPLACE([' + c.name + '], '''''''', '''''''''''') AS NVARCHAR(MAX)) + '''''''', ''NULL'')'
WHEN c.datetype = 'datetime'
THEN ' + '', '' + ISNULL('''''''' + CONVERT(VARCHAR, [' + c.name + '], 120) + '''''''', ''NULL'')'
ELSE
' + '', '' + ISNULL(CAST([' + c.name + '] AS NVARCHAR(MAX)), ''NULL'')'
END
FROM cols c
ORDER BY c.column_id
FOR XML PATH, TYPE, ROOT).value('.', 'NVARCHAR(MAX)'), 1, 10, 'CHAR(13) + '', ('' +')
DECLARE @SQL NVARCHAR(MAX) = '
SET NOCOUNT ON;
DECLARE
@SQL NVARCHAR(MAX) = ''''
, @x INT = 1
, @count INT = (SELECT COUNT(1) FROM ' + @TableName + ')
IF EXISTS(
SELECT 1
FROM tempdb.dbo.sysobjects
WHERE ID = OBJECT_ID(''tempdb..#import'')
)
DROP TABLE #import;
SELECT ' + @SQLTinyColumns + ', ''RowNumber'' = ROW_NUMBER() OVER (ORDER BY ' + @SQLTinyColumns + ')
INTO #import
FROM ' + @TableName + '
WHILE @x < @count BEGIN
SELECT @SQL = ''VALUES '' + STUFF((
SELECT ' + @SQLColumns + ' + '')''' + '
FROM #import
WHERE RowNumber BETWEEN @x AND @x + 9
FOR XML PATH, TYPE, ROOT).value(''.'', ''NVARCHAR(MAX)''), 1, 2, CHAR(13) + '' '') + '';''
PRINT(''' + @SQLInsert + ''')
PRINT(@SQL)
SELECT @x = @x + 10
END'
EXEC sys.sp_executesql @SQL
FETCH NEXT FROM [tables] INTO
@TableName
, @ObjectID
END
CLOSE [tables]
DEALLOCATE [tables]
输出：
INSERT INTO [Person].[Person] ([BusinessEntityID], [PersonType], [NameStyle], [Title], [FirstName], [MiddleName], [LastName], [Suffix], [EmailPromotion], [rowguid], [ModifiedDate])
VALUES
(1, 'EM', 0, NULL, 'Ken', 'J', 'Sánchez', NULL, 0, '92C4279F-1207-48A3-8448-4636514EB7E2', '2003-02-08 00:00:00')
, (2, 'EM', 0, NULL, 'Terri', 'Lee', 'Duffy', NULL, 1, 'D8763459-8AA8-47CC-AFF7-C9079AF79033', '2002-02-24 00:00:00')
, (3, 'EM', 0, NULL, 'Roberto', NULL, 'Tamburello', NULL, 0, 'E1A2555E-0828-434B-A33B-6F38136A37DE', '2001-12-05 00:00:00')
, (4, 'EM', 0, NULL, 'Rob', NULL, 'Walters', NULL, 0, 'F2D7CE06-38B3-4357-805B-F4B6B71C01FF', '2001-12-29 00:00:00')
, (5, 'EM', 0, 'Ms.', 'Gail', 'A', 'Erickson', NULL, 0, 'F3A3F6B4-AE3B-430C-A754-9F2231BA6FEF', '2002-01-30 00:00:00')
, (6, 'EM', 0, 'Mr.', 'Jossef', 'H', 'Goldberg', NULL, 0, '0DEA28FD-EFFE-482A-AFD3-B7E8F199D56F', '2002-02-17 00:00:00')
, (7, 'EM', 0, NULL, 'Dylan', 'A', 'Miller', NULL, 2, 'C45E8AB8-01BE-4B76-B215-820C8368181A', '2003-03-05 00:00:00')
, (8, 'EM', 0, NULL, 'Diane', 'L', 'Margheim', NULL, 0, 'A948E590-4A56-45A9-BC9A-160A1CC9D990', '2003-01-23 00:00:00')
, (9, 'EM', 0, NULL, 'Gigi', 'N', 'Matthew', NULL, 0, '5FC28C0E-6D36-4252-9846-05CAA0B1F6C5', '2003-02-10 00:00:00')
, (10, 'EM', 0, NULL, 'Michael', NULL, 'Raheem', NULL, 2, 'CA2C740E-75B2-420C-9D4B-E3CBC6609604', '2003-05-28 00:00:00');
3.使用任何数据比较，如：dbForge Data Compare for SQL Server
4.使用链接的服务器：MSDN
可以设置源数据库为Linked Server目的地DB
然后，只需执行在目标上DB：
SELECT * INTO [TABLE_NAME] FROM [SOURCEDB]..[dbo].[TABLE_NAME]
该命令创建的表结构和插入所有行从源到目的地。
如果您需要传输索引，约束......，您可以在MS SQL服务器中使用“生成脚本”企业管理器接口命令。
同样在SQL 2008上，您可以使用包含数据的生成脚本接口命令。因此，您只需在源数据库上为您的表生成脚本，然后在目标数据库上运行此脚本。 这里有一些链接：
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