sql查询返回两个表之间的差异


196

我试图比较两个表,SQL Server,以验证一些数据。我想返回两个表中的所有行,其中数据在一个或另一个中。本质上,我想展示所有差异。为此,我需要检查三个数据,名字,姓氏和产品。

我对SQL还是相当陌生,似乎我发现的许多解决方案都过于复杂。我不必担心NULL。

我首先尝试这样的事情:

SELECT DISTINCT [First Name], [Last Name], [Product Name] FROM [Temp Test Data]
WHERE ([First Name] NOT IN (SELECT [First Name] 
FROM [Real Data]))

不过,我无法继续进行此操作。

谢谢!

编辑:

根据@treaschf的回答,我一直在尝试使用以下查询的变体:

SELECT td.[First Name], td.[Last Name], td.[Product Name]
FROM [Temp Test Data] td FULL OUTER JOIN [Data] AS d 
ON td.[First Name] = d.[First Name] AND td.[Last Name] = d.[Last Name] 
WHERE (d.[First Name] = NULL) AND (d.[Last Name] = NULL)

但是,当我知道td中至少有1行不在d中时,我会一直返回0个结果。

编辑:

好吧,我想我明白了。至少在我几分钟的测试中,它似乎已经足够好了。

SELECT [First Name], [Last Name]
FROM [Temp Test Data] AS td
WHERE (NOT EXISTS
        (SELECT [First Name], [Last Name]
         FROM [Data] AS d
         WHERE ([First Name] = td.[First Name]) OR ([Last Name] = td.[Last Name])))

这基本上是要告诉我测试数据中的内容,而不是真实数据中的内容。这完全适合我需要做的事情。


3
下面的EXCEPT示例比此示例快约100倍。
埃里克·汉森

1
有人可以确认是否可行吗?对我而言不起作用,如果没有在任何地方使用“ d”,也看不到“ AS d”的意思,那哪里可能有错误?
罗伯特·辛克莱

Answers:


220

如果您有表AB,都带有colum C,这是记录,这些记录存在于表中,A但不存在于B

SELECT A.*
FROM A
    LEFT JOIN B ON (A.C = B.C)
WHERE B.C IS NULL

要通过单个查询获得所有差异,必须使用完全联接,如下所示:

SELECT A.*, B.*
FROM A
    FULL JOIN B ON (A.C = B.C)
WHERE A.C IS NULL OR B.C IS NULL

在这种情况下,您需要知道的是,当可以在中找到记录A,但不能在中找到时,B来自的列B将为NULL,对于在B和不在中存在的列也将为NULL 。A,从列A意志为空。


我无法正常工作,请查看我最近的修改。
Casey

问题可能是您不能使用'='将值与null进行比较。(或者至少当SET ANSI_NULLS为ON时。)您必须说:value IS NULL或value IS NOT NULL。
treaschf

我将其标记为我使用的答案,因为通过这种方式,我能够轻松地完成后来需要做的其他一些事情。
Casey

1
The objects "a.dbo.student" and "b.dbo.student" in the FROM clause have the same exposed names. Use correlation names to distinguish them.如果表名相同,并且从两个不同的数据库中提取它们,则会出现错误。
哈马德·汗

@Thecrocodilehunter你需要像表的改变名称a.dbo.student asb.dbo.student bs再参考表与asbs
AAA

246
(   SELECT * FROM table1
    EXCEPT
    SELECT * FROM table2)  
UNION ALL
(   SELECT * FROM table2
    EXCEPT
    SELECT * FROM table1) 

1
我也收到一条错误消息,消息205,级别16,状态1,第5行。所有使用UNION,INTERSECT或EXCEPT运算符组合的查询在其目标列表中必须具有相同数量的表达式。
cdub

3
如果遇到错误,则需要确保以相同的顺序选择相同的字段(相同类型)。SELECT *如果所有列都是这种情况,则可以工作;如果没有,请选择一些子集。
ashes999 2013年

1
任何有大型数据集经验的人都可以告诉我,该解决方案是否适用于行数超过500.000的表,那么约5000万行呢?
Michiel Cornille

4
好答案。有没有一种方法可以添加一个字段,该字段将告诉我返回的记录来自2个表中的哪个表?
Juan Velez

2
请注意,因为此解决方案会丢弃重复项。
金·金

37

我知道这可能不是一个流行的答案,但是当需要更复杂的比较时,我同意@Randy Minder关于使用第三方工具的意见。

这里的特定情况很容易,对于这种情况,不需要这样的工具,但是如果您引入更多的列,两台服务器上的数据库以及更复杂的比较条件等,则可能会很容易变得复杂。

这些工具很多,例如ApexSQL Data DiffQuest Toad,您始终可以在试用模式下使用它们来完成工作。


Diffkit是一个与FOSS数据库无关的解决方案的示例,该解决方案可与来自各种数据库或文件系统的任何表格数据源一起使用
wwmbes

Microsoft还具有此处tablediff提到的SQL Server 命令行实用程序。
wwmbes

15

要获得两个表之间的所有差异,可以像我这样使用此SQL请求:

SELECT 'TABLE1-ONLY' AS SRC, T1.*
FROM (
      SELECT * FROM Table1
      EXCEPT
      SELECT * FROM Table2
      ) AS T1
UNION ALL
SELECT 'TABLE2-ONLY' AS SRC, T2.*
FROM (
      SELECT * FROM Table2
      EXCEPT
      SELECT * FROM Table1
      ) AS T2
;

8

@erikkallen答案的简单变化,显示该行存在于哪个表中:

(   SELECT 'table1' as source, * FROM table1
    EXCEPT
    SELECT * FROM table2)  
UNION ALL
(   SELECT 'table2' as source, * FROM table2
    EXCEPT
    SELECT * FROM table1) 

如果遇到错误

使用UNION,INTERSECT或EXCEPT运算符组合的所有查询的目标列表中必须具有相同数量的表达式。

那么可能有助于添加

(   SELECT 'table1' as source, * FROM table1
    EXCEPT
    SELECT 'table1' as source, * FROM table2)  
UNION ALL
(   SELECT 'table2' as source, * FROM table2
    EXCEPT
    SELECT 'table2' as source, * FROM table1) 

1
All queries combined using a UNION, INTERSECT or EXCEPT operator must have an equal number of expressions in their target lists.选择此错误。我还必须将该'table1' as source, 部分添加到“除外”部分。-我编辑了答案。
knut

6

如果要获取哪些列值不同,则可以使用Entity-Attribute-Value模型:

declare @Data1 xml, @Data2 xml

select @Data1 = 
(
    select * 
    from (select * from Test1 except select * from Test2) as a
    for xml raw('Data')
)

select @Data2 = 
(
    select * 
    from (select * from Test2 except select * from Test1) as a
    for xml raw('Data')
)

;with CTE1 as (
    select
        T.C.value('../@ID', 'bigint') as ID,
        T.C.value('local-name(.)', 'nvarchar(128)') as Name,
        T.C.value('.', 'nvarchar(max)') as Value
    from @Data1.nodes('Data/@*') as T(C)    
), CTE2 as (
    select
        T.C.value('../@ID', 'bigint') as ID,
        T.C.value('local-name(.)', 'nvarchar(128)') as Name,
        T.C.value('.', 'nvarchar(max)') as Value
    from @Data2.nodes('Data/@*') as T(C)     
)
select
    isnull(C1.ID, C2.ID) as ID, isnull(C1.Name, C2.Name) as Name, C1.Value as Value1, C2.Value as Value2
from CTE1 as C1
    full outer join CTE2 as C2 on C2.ID = C1.ID and C2.Name = C1.Name
where
not
(
    C1.Value is null and C2.Value is null or
    C1.Value is not null and C2.Value is not null and C1.Value = C2.Value
)

SQL范例


谢谢,我使这段代码有点动态。现在,它允许您传递要比较的两个表格... thitos.blogspot.com/2014/03/compare-data-from-two-tables.html
Thato 2014年

2

试试这个 :

SELECT 
    [First Name], [Last Name]
FROM 
    [Temp Test Data] AS td EXCEPTION JOIN [Data] AS d ON 
         (d.[First Name] = td.[First Name] OR d.[Last Name] = td.[Last Name])

更容易阅读。


2

Tiago的解决方案类似,这将达到目的,并且也返回“源”表。

select [First name], [Last name], max(_tabloc) as _tabloc
from (
  select [First Name], [Last name], 't1' as _tabloc from table1
  union all
  select [First name], [Last name], 't2' as _tabloc from table2
) v
group by [Fist Name], [Last name]
having count(1)=1

结果将包含表之间的差异,在_tabloc列中,您将具有表引用。


2

将SPD的凯迪拉克(Cadillac)呈现为SP。有关基于@erikkallen的答案的基本模板,请参阅。它支持

  • 重复的行感应(此处大多数其他答案都没有)
  • 按参数排序结果
  • 限于特定栏
  • 忽略列(例如ModifiedUtc)
  • 跨数据库表名称
  • 临时表(用作差异视图的解决方法)

用法:

exec Common.usp_DiffTableRows '#t1', '#t2';

exec Common.usp_DiffTableRows 
    @pTable0          = 'ydb.ysh.table1',
    @pTable1          = 'xdb.xsh.table2',
    @pOrderByCsvOpt   = null,  -- Order the results
    @pOnlyCsvOpt      = null,  -- Only compare these columns
    @pIgnoreCsvOpt    = null;  -- Ignore these columns (ignored if @pOnlyCsvOpt is specified)

码:

alter proc [Common].[usp_DiffTableRows]    
    @pTable0          varchar(300),
    @pTable1          varchar(300),
    @pOrderByCsvOpt   nvarchar(1000) = null,  -- Order the Results
    @pOnlyCsvOpt      nvarchar(4000) = null,  -- Only compare these columns
    @pIgnoreCsvOpt    nvarchar(4000) = null,  -- Ignore these columns (ignored if @pOnlyCsvOpt is specified)
    @pDebug           bit = 0
as
/*---------------------------------------------------------------------------------------------------------------------
    Purpose:  Compare rows between two tables.

      Usage:  exec Common.usp_DiffTableRows '#a', '#b';

    Modified    By          Description
    ----------  ----------  -------------------------------------------------------------------------------------------
    2015.10.06  crokusek    Initial Version
    2019.03.13  crokusek    Added @pOrderByCsvOpt
    2019.06.26  crokusek    Support for @pIgnoreCsvOpt, @pOnlyCsvOpt.    
    2019.09.04  crokusek    Minor debugging improvement
    2020.03.12  crokusek    Detect duplicate rows in either source table
  ---------------------------------------------------------------------------------------------------------------------*/
begin try

    if (substring(@pTable0, 1, 1) = '#')
        set @pTable0 = 'tempdb..' + @pTable0; -- object_id test below needs full names for temp tables

    if (substring(@pTable1, 1, 1) = '#')
        set @pTable1 = 'tempdb..' + @pTable1; -- object_id test below needs full names for temp tables

    if (object_id(@pTable0) is null)
        raiserror('Table name is not recognized: ''%s''', 16, 1, @pTable0);

    if (object_id(@pTable1) is null)
        raiserror('Table name is not recognized: ''%s''', 16, 1, @pTable1);

    create table #ColumnGathering
    (
        Name nvarchar(300) not null,
        Sequence int not null,
        TableArg tinyint not null
    );

    declare
        @usp          varchar(100) = object_name(@@procid),    
        @sql          nvarchar(4000),
        @sqlTemplate  nvarchar(4000) = 
        '  
            use $database$;

            insert into #ColumnGathering
            select Name, column_id as Sequence, $TableArg$ as TableArg
              from sys.columns c
             where object_id = object_id(''$table$'', ''U'')
        ';          

    set @sql = replace(replace(replace(@sqlTemplate,
        '$TableArg$', 0),
        '$database$', (select DatabaseName from Common.ufn_SplitDbIdentifier(@pTable0))),
        '$table$', @pTable0);

    if (@pDebug = 1)
        print 'Sql #CG 0: ' + @sql;

    exec sp_executesql @sql;

    set @sql = replace(replace(replace(@sqlTemplate,
        '$TableArg$', 1),
        '$database$', (select DatabaseName from Common.ufn_SplitDbIdentifier(@pTable1))),
        '$table$', @pTable1);

    if (@pDebug = 1)
        print 'Sql #CG 1: ' + @sql;

    exec sp_executesql @sql;

    if (@pDebug = 1)
        select * from #ColumnGathering;

    select Name, 
           min(Sequence) as Sequence, 
           convert(bit, iif(min(TableArg) = 0, 1, 0)) as InTable0,
           convert(bit, iif(max(TableArg) = 1, 1, 0)) as InTable1
      into #Columns
      from #ColumnGathering
     group by Name
    having (     @pOnlyCsvOpt is not null 
             and Name in (select Value from Common.ufn_UsvToNVarcharKeyTable(@pOnlyCsvOpt, default)))
        or 
           (     @pOnlyCsvOpt is null
             and @pIgnoreCsvOpt is not null 
             and Name not in (select Value from Common.ufn_UsvToNVarcharKeyTable(@pIgnoreCsvOpt, default)))
        or 
           (     @pOnlyCsvOpt is null
             and @pIgnoreCsvOpt is null)

    if (exists (select 1 from #Columns where InTable0 = 0 or InTable1 = 0))
    begin
        select 1; -- without this the debugging info doesn't stream sometimes
        select * from #Columns order by Sequence;        
        waitfor delay '00:00:02';  -- give results chance to stream before raising exception
        raiserror('Columns are not equal between tables, consider using args @pIgnoreCsvOpt, @pOnlyCsvOpt.  See Result Sets for details.', 16, 1);    
    end

    if (@pDebug = 1)
        select * from #Columns order by Sequence;

    declare 
        @columns nvarchar(4000) = --iif(@pOnlyCsvOpt is null and @pIgnoreCsvOpt is null,
           -- '*',     
            (
              select substring((select ',' + ac.name
                from #Columns ac
               order by Sequence
                 for xml path('')),2,200000) as csv
            );

    if (@pDebug = 1)
    begin
        print 'Columns: ' + @columns;
        waitfor delay '00:00:02';  -- give results chance to stream before possibly raising exception
    end

    -- Based on https://stackoverflow.com/a/2077929/538763
    --     - Added sensing for duplicate rows
    --     - Added reporting of source table location
    --
    set @sqlTemplate = '
            with 
               a as (select ~, Row_Number() over (partition by ~ order by (select null)) -1 as Duplicates from $a$), 
               b as (select ~, Row_Number() over (partition by ~ order by (select null)) -1 as Duplicates from $b$)
            select 0 as SourceTable, ~
              from 
                 (
                   select * from a
                   except
                   select * from b
                 )  anb
              union all
             select 1 as SourceTable, ~
               from 
                 (
                   select * from b
                   except
                   select * from a
                 )  bna
             order by $orderBy$
        ';    

     set @sql = replace(replace(replace(replace(@sqlTemplate, 
            '$a$', @pTable0), 
            '$b$', @pTable1),
            '~', @columns),
            '$orderBy$', coalesce(@pOrderByCsvOpt, @columns + ', SourceTable')
        );

     if (@pDebug = 1)
        print 'Sql: ' + @sql;

     exec sp_executesql @sql;

end try
begin catch
    declare        
        @CatchingUsp  varchar(100) = object_name(@@procid);    

    if (xact_state() = -1)
        rollback;    

    -- Disabled for S.O. post

    --exec Common.usp_Log
        --@pMethod = @CatchingUsp;

    --exec Common.usp_RethrowError        
        --@pCatchingMethod = @CatchingUsp;

    throw;
end catch
go

create function Common.Trim
(
    @pOriginalString nvarchar(max), 
    @pCharsToTrim nvarchar(50) = null -- specify null or 'default' for whitespae 
)  
returns table
with schemabinding
as 
/*--------------------------------------------------------------------------------------------------
    Purpose:   Trim the specified characters from a string.

    Modified    By              Description
    ----------  --------------  --------------------------------------------------------------------
    2012.09.25  S.Rutszy/crok   Modified from https://dba.stackexchange.com/a/133044/9415    
  --------------------------------------------------------------------------------------------------*/ 
return
with cte AS
(
  select patindex(N'%[^' + EffCharsToTrim + N']%', @pOriginalString) AS [FirstChar],
         patindex(N'%[^' + EffCharsToTrim + N']%', reverse(@pOriginalString)) AS [LastChar],
         len(@pOriginalString + N'~') - 1 AS [ActualLength]
   from
   (
         select EffCharsToTrim = coalesce(@pCharsToTrim, nchar(0x09) + nchar(0x20) + nchar(0x0d) + nchar(0x0a))
   ) c
)
select substring(@pOriginalString, [FirstChar],
                 ((cte.[ActualLength] - [LastChar]) - [FirstChar] + 2)
       ) AS [TrimmedString]
       --
       --cte.[ActualLength],
       --[FirstChar],
       --((cte.[ActualLength] - [LastChar]) + 1) AS [LastChar]              
from cte;
go

create function [Common].[ufn_UsvToNVarcharKeyTable] (
    @pCsvList     nvarchar(MAX),
    @pSeparator   nvarchar(1) = ','       -- can pass keyword 'default' when calling using ()'s
    )    
    --
    -- SQL Server 2012 distinguishes nvarchar keys up to maximum of 450 in length (900 bytes)
    -- 
    returns @tbl table (Value nvarchar(450) not null primary key(Value)) as
/*-------------------------------------------------------------------------------------------------
    Purpose:  Converts a comma separated list of strings into a sql NVarchar table.  From

              http://www.programmingado.net/a-398/SQL-Server-parsing-CSV-into-table.aspx     

              This may be called from RunSelectQuery:

                  GRANT SELECT ON Common.ufn_UsvToNVarcharTable TO MachCloudDynamicSql;

    Modified    By              Description
    ----------  --------------  -------------------------------------------------------------------
    2011.07.13  internet        Initial version
    2011.11.22  crokusek        Support nvarchar strings and a custom separator.
    2017.12.06  crokusek        Trim leading and trailing whitespace from each element.
    2019.01.26  crokusek        Remove newlines
  -------------------------------------------------------------------------------------------------*/     
begin
    declare 
        @pos      int,
        @textpos  int,
        @chunklen smallint,
        @str      nvarchar(4000),
        @tmpstr   nvarchar(4000),
        @leftover nvarchar(4000),
        @csvList nvarchar(max) = iif(@pSeparator not in (char(13), char(10), char(13) + char(10)),
            replace(replace(@pCsvList, char(13), ''), char(10), ''),
            @pCsvList); -- remove newlines

    set @textpos = 1
    set @leftover = ''  
    while @textpos <= len(@csvList)
    begin
        set @chunklen = 4000 - len(@leftover)
        set @tmpstr = ltrim(@leftover + substring(@csvList, @textpos, @chunklen))
        set @textpos = @textpos + @chunklen

        set @pos = charindex(@pSeparator, @tmpstr)
        while @pos > 0
        begin
            set @str = substring(@tmpstr, 1, @pos - 1)
            set @str = (select TrimmedString from Common.Trim(@str, default));
            insert @tbl (value) values(@str);
            set @tmpstr = ltrim(substring(@tmpstr, @pos + 1, len(@tmpstr)))
            set @pos = charindex(@pSeparator, @tmpstr)
        end

        set @leftover = @tmpstr
    end

    -- Handle @leftover

    set @str = (select TrimmedString from Common.Trim(@leftover, default));

    if @str <> ''
       insert @tbl (value) values(@str);

    return
end
GO

create function Common.ufn_SplitDbIdentifier(@pIdentifier nvarchar(300))
returns @table table 
(    
    InstanceName          nvarchar(300) not null,
    DatabaseName          nvarchar(300) not null,
    SchemaName            nvarchar(300),
    BaseName              nvarchar(300) not null,
    FullTempDbBaseName    nvarchar(300),            -- non-null for tempdb (e.g. #Abc____...)
    InstanceWasSpecified  bit not null,
    DatabaseWasSpecified  bit not null,
    SchemaWasSpecified    bit not null,
    IsCurrentInstance     bit not null,
    IsCurrentDatabase     bit not null,
    IsTempDb              bit not null,
    OrgIdentifier         nvarchar(300) not null
) as
/*-----------------------------------------------------------------------------------------------------------
    Purpose:  Split a Sql Server Identifier into its parts, providing appropriate default values and
              handling temp table (tempdb) references.

    Example:  select * from Common.ufn_SplitDbIdentifier('t')
              union all
              select * from Common.ufn_SplitDbIdentifier('s.t')
              union all
              select * from Common.ufn_SplitDbIdentifier('d.s.t')
              union all
              select * from Common.ufn_SplitDbIdentifier('i.d.s.t')
              union all
              select * from Common.ufn_SplitDbIdentifier('#d')
              union all
              select * from Common.ufn_SplitDbIdentifier('tempdb..#d'); 

              -- Empty
              select * from Common.ufn_SplitDbIdentifier('illegal name'); 

    Modified    By              Description
    ----------  --------------  -----------------------------------------------------------------------------
    2013.09.27  crokusek        Initial version.  
  -----------------------------------------------------------------------------------------------------------*/
begin
    declare 
        @name nvarchar(300) = ltrim(rtrim(@pIdentifier));

    -- Return an empty table as a "throw"
    --
    --Removed for SO post
    --if (Common.ufn_IsSpacelessLiteralIdentifier(@name) = 0)
      --  return;

    -- Find dots starting from the right by reversing first.

    declare 
        @revName nvarchar(300) = reverse(@name);

    declare
        @firstDot int = charindex('.', @revName);

    declare
        @secondDot  int = iif(@firstDot = 0,  0, charindex('.', @revName, @firstDot + 1));

    declare
        @thirdDot   int = iif(@secondDot = 0, 0, charindex('.', @revName, @secondDot + 1));

    declare
        @fourthDot  int = iif(@thirdDot = 0, 0, charindex('.', @revName, @thirdDot + 1));

    --select @firstDot, @secondDot, @thirdDot, @fourthDot, len(@name);

    -- Undo the reverse() (first dot is first from the right).
    --
    set @firstDot = iif(@firstDot = 0, 0, len(@name) - @firstDot + 1);
    set @secondDot = iif(@secondDot = 0, 0, len(@name) - @secondDot + 1);
    set @thirdDot = iif(@thirdDot = 0, 0, len(@name) - @thirdDot + 1);
    set @fourthDot = iif(@fourthDot = 0, 0, len(@name) - @fourthDot + 1);

    --select @firstDot, @secondDot, @thirdDot, @fourthDot, len(@name);

    declare
        @baseName   nvarchar(300)  = substring(@name, @firstDot + 1, len(@name) - @firstdot);

    declare
        @schemaName nvarchar(300) = iif(@firstDot - @secondDot - 1 <= 0, 
                                        null,
                                        substring(@name, @secondDot + 1, @firstDot - @secondDot - 1));
    declare
        @dbName     nvarchar(300) = iif(@secondDot - @thirdDot - 1 <= 0, 
                                        null,
                                        substring(@name, @thirdDot + 1, @secondDot - @thirdDot - 1));
    declare
        @instName   nvarchar(300) = iif(@thirdDot - @fourthDot - 1 <= 0, 
                                        null, 
                                        substring(@name, @fourthDot + 1, @thirdDot - @fourthDot - 1));

    with input as (
        select
           coalesce(@instName, '[' + @@servername + ']') as InstanceName,
           coalesce(@dbName,     iif(left(@baseName, 1) = '#', 'tempdb', db_name())) as DatabaseName,
           coalesce(@schemaName, iif(left(@baseName, 1) = '#', 'dbo', schema_name())) as SchemaName,
           @baseName as BaseName,
           iif(left(@baseName, 1) = '#',
               (
                  select [name] from tempdb.sys.objects
                  where object_id = object_id('tempdb..' + @baseName)
               ), 
               null) as FullTempDbBaseName,                
           iif(@instName is null, 0, 1) InstanceWasSpecified,       
           iif(@dbName is null, 0, 1) DatabaseWasSpecified,
           iif(@schemaName is null, 0, 1) SchemaWasSpecified    
     )
     insert into @table           
     select i.InstanceName, i.DatabaseName, i.SchemaName, i.BaseName, i.FullTempDbBaseName,
            i.InstanceWasSpecified, i.DatabaseWasSpecified, i.SchemaWasSpecified,
            iif(i.InstanceName = '[' + @@servername + ']', 1, 0) as IsCurrentInstance,
            iif(i.DatabaseName = db_name(), 1, 0) as IsCurrentDatabase,
            iif(left(@baseName, 1) = '#', 1, 0) as IsTempDb,
            @name as OrgIdentifier
       from input i;

    return;
end
GO

2

您可以使用except,例如这样的事情:

-- DB1..Tb1 have values than DB2..Tb1 not have
Select Col1,Col2,Col3 From DB1..Tb1
except
Select Col1,Col2,Col3 From DB2..Tb1
-- Now we change order
-- DB2..Tb1 have values than DB1..Tb1 not have
Select Col1,Col2,Col3 From DB2..Tb1
except
Select Col1,Col2,Col3 From DB1..Tb1

1

对于一个简单的冒烟测试,您尝试确保两个表匹配而不必担心列名:

--ensure tables have matching records
Select count (*) from tbl_A
Select count (*) from tbl_B

--create temp table of all records in both tables
Select * into #demo from tbl_A 
Union All
Select * from tbl_B

--Distinct #demo records = Total #demo records/2 = Total tbl_A records = total tbl_B records
Select distinct * from #demo 

您可以轻松地编写存储过程来比较一批表。


0

存在与左联接以及大数据的完全联接有关的性能问题。

我认为这是最好的解决方案:

select [First Name], count(1) e from (select * from [Temp Test Data] union all select * from [Temp Test Data 2]) a group by [First Name] having e = 1
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