Ik probeer twee tabellen, SQL Server, te vergelijken om wat gegevens te verifiëren. Ik wil alle rijen van beide tabellen retourneren waar de gegevens zich in de een of de ander bevinden. In wezen wil ik alle discrepanties laten zien. Ik moet daarbij drie gegevens controleren: Voornaam, Achternaam en Product.
Ik ben vrij nieuw in SQL en het lijkt erop dat veel van de oplossingen die ik vind de zaken te ingewikkeld maken. Ik hoef me geen zorgen te maken over NULL’s.
Ik begon met iets als dit te proberen:
SELECT DISTINCT [First Name], [Last Name], [Product Name] FROM [Temp Test Data]
WHERE ([First Name] NOT IN (SELECT [First Name]
FROM [Real Data]))
Ik heb echter moeite om hier verder mee te gaan.
Bedankt!
BEWERKEN:
Op basis van het antwoord van @treaschf heb ik geprobeerd een variant van de volgende vraag te gebruiken:
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)
Maar ik krijg steeds 0 resultaten terug, als ik weet dat er minstens 1 rij in td is die niet in d staat.
BEWERKEN:
Ok, ik denk dat ik het door heb. In mijn paar minuten testen lijkt het tenminste goed genoeg te werken.
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])))
Dit gaat me in feite vertellen wat er in mijn testgegevens staat dat nietin mijn echte gegevens staat. Wat helemaal prima is voor wat ik moet doen.
Antwoord 1, autoriteit 100%
ALS je tabellen A
en B
hebt, beide met kolom C
, zijn hier de records die aanwezig zijn in tabel A
maar niet in B
:
SELECT A.*
FROM A
LEFT JOIN B ON (A.C = B.C)
WHERE B.C IS NULL
Om alle verschillen met een enkele query te krijgen, moet een volledige join worden gebruikt, zoals deze:
SELECT A.*, B.*
FROM A
FULL JOIN B ON (A.C = B.C)
WHERE A.C IS NULL OR B.C IS NULL
Wat u in dit geval moet weten, is dat wanneer een record kan worden gevonden in A
, maar niet in B
, dan de kolommen die uit B
zal NULL zijn, en op dezelfde manier voor degenen die aanwezig zijn in B
en niet in A
, de kolommen van A
zal null zijn.
Antwoord 2, autoriteit 92%
( SELECT * FROM table1
EXCEPT
SELECT * FROM table2)
UNION ALL
( SELECT * FROM table2
EXCEPT
SELECT * FROM table1)
Antwoord 3, autoriteit 15%
Ik weet dat dit misschien geen populair antwoord is, maar ik ben het eens met @Randy Minder over het gebruik van een tool van derden wanneer een complexere vergelijking nodig is.
Dit specifieke geval hier is eenvoudig en in dit geval zijn dergelijke tools niet nodig, maar dit kan gemakkelijk complex worden als u meer kolommen, databases op twee servers, complexere vergelijkingscriteria en dergelijke introduceert.
Er zijn veel van deze tools, zoals ApexSQL Data Diffof Quest Toaden je kunt ze altijd in proefmodus gebruiken om de klus te klaren.
Antwoord 4, autoriteit 7%
Om alle verschillen tussen twee tabellen te krijgen, kun je zoals ik dit SQL-verzoek gebruiken:
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
;
Antwoord 5, autoriteit 5%
Eenvoudige variatie op het antwoord van @erikkallen die laat zien in welke tabel de rij aanwezig is:
( SELECT 'table1' as source, * FROM table1
EXCEPT
SELECT * FROM table2)
UNION ALL
( SELECT 'table2' as source, * FROM table2
EXCEPT
SELECT * FROM table1)
Als je een foutmelding krijgt
Alle query’s gecombineerd met een UNION-, INTERSECT- of EXCEPT-operator moeten een gelijk aantal expressies in hun doellijsten hebben.
dan kan het helpen om
. toe te voegen
( 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)
Antwoord 6, autoriteit 3%
Als u wilt weten welke kolomwaarden verschillen, kunt u het Entity-Attribute-Value-model gebruiken:
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
)
Antwoord 7
Probeer dit:
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])
Veel eenvoudiger te lezen.
Antwoord 8
Dit zal het lukken, vergelijkbaar met Tiago‘s oplossing, retourneer ook de “bron”-tabel.
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
Resultaat bevat verschillen tussen tabellen, in kolom _tabloc krijgt u een tabelverwijzing.
Antwoord 9
presentatie van de cadillac van diffs als een sp. Zie binnen voor de basissjabloon die is gebaseerd op antwoord van @ERIKKALLEN. Het ondersteunt
- Duplicate rijsensing (de meeste andere antwoorden hier niet)
- Sorteer resultaten op argument
- limiet naar specifieke kolommen
- negeer kolommen (bijvoorbeeld gewijzigde mutc)
- Cross-databasetabellen namen
- Temp-tabellen (gebruik als oplossing voor diff-meningen)
Gebruik:
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)
Code:
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
Antwoord 10
U kunt gebruiken behalve, bijvoorbeeld zoiets:
-- 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
Antwoord 11
Voor een eenvoudige rooktest waar u probeert te garanderen dat twee tabellen overeenkomen met u zorgen maken over kolomnamen:
--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
U kunt eenvoudig een winkelprocedure schrijven om een batch-tabellen te vergelijken.
Antwoord 12
Er is een uitvoeringsprobleem met de linker join en volledige join met grote gegevens.
Naar mijn mening is dit de beste oplossing:
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