Greetings,
Here is my problem.
I need to get data from multiple rows and return them as a single result in a larger query.
I already posted a similar question here.
Return multiple values in one column within a main query but I suspect my lack of SQL knowledge made the question too vague because the answers did not work.
I am using Microsoft SQL 2005.
Here is what I have.
Multiple tables with CaseID as the PK, CaseID is unique.
One table (tblKIN) with CaseID and ItemNum(AutoInc) as the combined PK.
Because each person in the database will likely have more than one relative.
If I run the following, in a SQL query window, it works.
DECLARE #KINList varchar(1000)
SELECT #KINList = coalesce(#KINList + ', ','') + KINRel from tblKIN
WHERE CaseID = 'xxx' and Address = 'yyy'
ORDER BY KINRel
SELECT #KINList
This will return the relation of all people who live at the same address. the results look like this...
Father, Niece, Sister, Son
Now, the problem for me is how do I add that to my main query?
Shortened to relevant information, the main query looks like this.
SELECT DISTINCT
c.CaseID,
c.Name,
c.Address,
Relatives=CASE WHEN exists(select k.CaseID from tblKIN k where c.CaseID = k.CaseID)
THEN DECLARE #KINList varchar(1000)
SELECT #KINList = coalesce(#KINList + ', ','') + KINRel from tblKIN
WHERE CaseID = 'xxx' and Address = 'yyy'
ORDER BY KINRel
SELECT #KINList
ELSE ''
END
FROM tblCase c
ORDER BY c.CaseID
The errors I receive are.
Server: Msg 156, Level 15, State 1, Line 13
Incorrect syntax near the keyword 'DECLARE'.
Server: Msg 156, Level 15, State 1, Line 18
Incorrect syntax near the keyword 'ELSE'.
I tried nesting inside parenthesis from the DECLARE to the end of the SELECT #KINList.
I tried adding a BEGIN and END to the THEN section of the CASE statement.
Neither worked.
The source table data looks something like this. (periods added for readability)
tblCase
CaseID Name Address
10-001 Jim......100 Main St.
10-002 Tom....150 Elm St.
10-003 Abe.....200 1st St.
tblKIN
CaseID ItemNum Name Relation Address
10-001 00001 Steve...Son........100 Main St.
10-002 00002 James..Father....150 Elm St.
10-002 00003 Betty....Niece......150 Elm St.
10-002 00004 Greta...Sister.....150 Elm St.
10-002 00005 Davey..Son........150 Elm St.
10-003 00006 Edgar...Brother...200 1st St.
If I run the query for CaseID = 10-002, it needs to return the following.
CaseID Name Address.......Relatives
10-002 Tom...150 Elm St. ..Father, Niece, Sister, Son
I am sure this is probably a simple fix, but I just don't know how to do it.
Thank you for your time, and I apologize for the length of the question, but I wanted to be clear.
Thanks !!!
When I did something similar I had to create a scalar function to do the coalesce that returns the varchar result. Then just call it in the select.
CREATE FUNCTION GetRelatives
(
#CaseID varchar(10)
)
RETURNS varchar(1000)
AS
BEGIN
DECLARE #KINList varchar(1000)
SELECT #KINList = coalesce(#KINList + ', ','') + KINRel from tblKIN
WHERE CaseID = #CaseID
ORDER BY KINRel
RETURN #KINList
END
Then your select
SELECT DISTINCT
c.CaseID,
c.Name,
c.Address,
database.dbo.GetRelatives(c.CaseID) AS Relatives
FROM tblCase c
ORDER BY c.CaseID
You can create a FUNCTION which takes in the caseID as the arguement and returns true or false.
Since you are calling the nested query multiple times, its definitely a performance hit. A better solution is to execute the query and store the results in a temporary table.
Then pass this temporary table and the caseID to the FUNCTION and check for containment.
Related
I need to use the compiled data using CTE and then convert the columns to rows using crosstab(open to other ideas) in the next select statement. Below is the query.
with checked_adgroup AS (
SELECT
ua.new_adgroup,
ua.account,
ua.campaign,
ua.ad_group,
ua."position",
cp.category,
pt.full_value,
FROM unnest_adgroup ua
LEFT JOIN taxonomy_category cp ON ua."position" = cp."position"
LEFT JOIN taxonomy pt ON ua.short_val = pt.short_value AND cp.category = pt.category AND (pt.lob IS NULL OR pt.lob = ua.lob)
)
SELECT *
from crosstab(
'select
cad.account,
cad.campaign,
cad.ad_group,
cad.category,
cad.full_value
FROM checked_adgroup cad
WHERE cad.all_correct AND cad.category IS NOT NULL
ORDER BY 1,2,3')
AS final_result(
account text, campaign text, ad_group text,
division text, lob text, match_type text );
Error message:
ERROR: relation "checked_adgroup" does not exist LINE 7: FROM checked_adgroup cad
Output of checked_adgroup cte looks like below:
enter image description here
Desired output of the final statement is:
enter image description here
Welcome to the community. First off please do not post images, they are useless to work with, and in some instances they are prohibited and cannot be viewed. Instead use formatted text.
I haven't used crosstab functionality all that much, but it does offer a second version which contains 2 queries, the second feeding into the first. There are however a couple errors in your posted query that would need correcting either way. So that first. Look for --<< tag.
with checked_adgroup AS (
SELECT
ua.new_adgroup,
ua.account,
ua.campaign,
ua.ad_group,
ua."position",
cp.category,
pt.full_value,
--<< missing column or ending , above should not be there, assumption missing column see below.
FROM unnest_adgroup ua
LEFT JOIN taxonomy_category cp ON ua."position" = cp."position"
LEFT JOIN taxonomy pt ON ua.short_val = pt.short_value AND cp.category = pt.category AND (pt.lob IS NULL OR pt.lob = ua.lob)
)
SELECT *
from crosstab(
'select
cad.account,
cad.campaign,
cad.ad_group,
cad.category,
cad.full_value
FROM checked_adgroup cad
WHERE cad.all_correct AND cad.category IS NOT NULL
--<< above line has 2 errors:
--<< Incorrectly formatted needs to cad.all_correct is not null AND cad.category IS NOT NULL
--<< column cad.all_correct does not exist (see missing column above
ORDER BY 1,2,3')
AS final_result(
account text, campaign text, ad_group text,
division text, lob text, match_type text);
Now we need to transform the CTE to a second query that crosstab might be ale to use. I have identified each with Postgres $Quoting$, not so much from necessity as standard string quote (') would be sufficant, but more from visibility standing.
select *
from crosstab(
$ct1$select
account,
campaign,
ad_group,
category,
full_value
--<< from checked_adgroup cad
--<< where cad.all_correct and cad.category is not null
--<< moved above lines to second query to avoid reference and removed qualification
order by 1,2,3
$ct1$
, $ct2$select *
from (
select
ua.new_adgroup,
ua.account,
ua.campaign,
ua.ad_group,
ua."position",
cp.category,
pt.full_value,
'mssing from orig posted query' all_correct
from unnest_adgroup ua
left join taxonomy_category cp on ua."position" = cp."position"
left join taxonomy pt on ua.short_val = pt.short_value
and cp.category = pt.category
and (pt.lob is null or pt.lob = ua.lob)
) s
where all_correct is not null and cad.category is not null
--<< move from query1
$ct2$ )
as final_result(
account text, campaign text, ad_group text,
division text, lob text, match_type text );
But at this point I get an error relationship unnest_adgroup does not exist. Which is true as you did not post the definition, not other referenced tables. But that seems to imply the syntax is correct.
Admittedly, this may be way off base if so, so be it, I can always delete later. But, I stuck at home with no other projects at the moment and this seems like an interesting question. Looking forward to the results. Good Luck.
I have a SQL 2k5 sproc I'm working with.
I need to reference a UDF to calculate price based on a few variables and the users permissions. I originally tried this, but it didn't work because I wasn't referencing a field...
SELECT dbo.f_GetPrice(model,userid,authType) 'YourPrice', name, description
FROM tblRL_Products
WHERE 'YourPrice' Between #fromPrice AND #toPrice
OR 'YourPrice' IS NULL
So I modified this to
SELECT dbo.f_GetPrice(model,userid,authType) 'YourPrice', name, description
FROM tblRL_Products
WHERE dbo.f_GetPrice(model,userid,authType) Between #fromPrice AND #toPrice
OR dbo.f_GetPrice(model,userid,authType) IS NULL
When SQL executes this sproc, is it running the function 3X's for each record or does it run it the one time and use the values in the other two places per row.
Is there a more efficient way of doing this?
Edit
This is the Scalar UDF. It needs to grab a price based on the type the user is authorized for, then once we have the right price we need to do a calculation on it. This is all stored in the authorization tables. Every user has an authorization for each line of products. So they may have different price types and calculations for each line, returning back dozens or even hundreds of lines in a single search result call.
In the above code I used authType, that was an old call, we don't use that parameter anymore.
ALTER function [dbo].[f_GetPrice]
(
#model uniqueidentifier,
#userID uniqueidentifier
)
returns money
as
begin
Declare #yourPrice money
WITH ProductPrice AS(
SELECT (CASE PriceType
WHEN 'msrp' THEN p.price_msrp
WHEN 'jobber' THEN p.price_jobber
WHEN 'warehouse' THEN p.price_warehouse
WHEN 'margin' THEN p.price_margin
WHEN 'mycost' THEN p.price_mycost
WHEN 'customprice1' THEN p.price_custom1
WHEN 'customprice2' THEN p.price_custom2
WHEN 'customprice3' THEN p.price_custom2
ELSE p.price_msrp
END) as YourPrice, aup.calc, aup.amount
FROM products p
JOIN lines l ON l.lineID=l.lineID
JOIN authorizations a ON l.authlineID=a.authlineID
JOIN authorizationusers au ON a.auID=au.auID
JOIN authorizationuserprices aup ON au.aupID=aup.aupID
WHERE au.userID=#userID AND p.modelID=#model)
SELECT #yourPrice=(CASE calc
WHEN 'amount' THEN YourPrice+amount
WHEN 'percent' THEN YourPrice+(YourPrice*amount/100)
WHEN 'divide' THEN YourPrice/amount
WHEN 'factore' THEN YourPrice*amount
WHEN 'none' THEN YourPrice
ELSE YourPrice
END) FROM ProductPrice
return #yourPrice
END
If you must use a udf for this, then use a subquery and filter outside the subquery:
select YourPrice, name, description
from
(
SELECT dbo.f_GetPrice(model,userid,authType) YourPrice, name, description
FROM tblRL_Products
) d
WHERE YourPrice Between #fromPrice AND #toPrice
OR YourPrice IS NULL
Then you are only calling your udf once instead of 3 times.
Scalar functions are not good, when they have to be applied to a quite number of rows. In this case definitely you can convert your scalar function into table-valued function, which will not be called one time for every row of input data.
create function [dbo].[ft_GetPrice]
(
#model uniqueidentifier,
#userID uniqueidentifier
)
returns table
as return
(
WITH ProductPrice AS (
SELECT (CASE PriceType
WHEN 'msrp' THEN p.price_msrp
WHEN 'jobber' THEN p.price_jobber
WHEN 'warehouse' THEN p.price_warehouse
WHEN 'margin' THEN p.price_margin
WHEN 'mycost' THEN p.price_mycost
WHEN 'customprice1' THEN p.price_custom1
WHEN 'customprice2' THEN p.price_custom2
WHEN 'customprice3' THEN p.price_custom2
ELSE p.price_msrp
END) as YourPrice, aup.calc, aup.amount
FROM products p
JOIN lines l ON l.lineID=l.lineID
JOIN authorizations a ON l.authlineID=a.authlineID
JOIN authorizationusers au ON a.auID=au.auID
JOIN authorizationuserprices aup ON au.aupID=aup.aupID
WHERE au.userID=#userID AND p.modelID=#model
)
SELECT
CASE calc
WHEN 'amount' THEN YourPrice+amount
WHEN 'percent' THEN YourPrice+(YourPrice*amount/100)
WHEN 'divide' THEN YourPrice/amount
WHEN 'factore' THEN YourPrice*amount
WHEN 'none' THEN YourPrice
ELSE YourPrice
END as YourPrice
FROM ProductPrice
)
GO
Which can be used then as:
SELECT fp.YourPrice, name, description
FROM tblRL_Products
outer apply dbo.ft_GetPrice(model, userid, authType) fp
WHERE fp.YourPrice Between #fromPrice AND #toPrice OR fp.YourPrice IS NULL
Here's a simple query we do for ad hoc requests from our Marketing department on the leads we received in the last 90 days.
SELECT ID
,FIRST_NAME
,LAST_NAME
,ADDRESS_1
,ADDRESS_2
,CITY
,STATE
,ZIP
,HOME_PHONE
,MOBILE_PHONE
,EMAIL_ADDRESS
,ROW_ADDED_DTM
FROM WEB_LEADS
WHERE ROW_ADDED_DTM BETWEEN #START AND #END
They are asking for more derived columns to be added that show the number of previous occurences of ADDRESS_1 where the EMAIL_ADDRESS matches. But they want is for different date ranges.
So the derived columns would look like this:
,COUNT_ADDRESS_1_LAST_1_DAYS,
,COUNT_ADDRESS_1_LAST_7_DAYS
,COUNT_ADDRESS_1_LAST_14_DAYS
etc.
I've manually filled these derived columns using update statements when there was just a few. The above query is really just a sample of a much larger query with many more columns. The actual request has blossomed into 6 date ranges for 13 columns. I'm asking if there's a better way then using 78 additional update statements.
I think you will have a hard time writing a query that includes all of these 78 metrics per e-mail address without actually creating a query that hard-codes the different choices. However you can generate such a pivot query with dynamic SQL, which will save you some keystrokes and will adjust dynamically as you add more columns to the table.
The result you want to end up with will look something like this (but of course you won't want to type it):
;WITH y AS
(
SELECT
EMAIL_ADDRESS,
/* aggregation portion */
[ADDRESS_1] = COUNT(DISTINCT [ADDRESS_1]),
[ADDRESS_2] = COUNT(DISTINCT [ADDRESS_2]),
... other columns
/* end agg portion */
FROM dbo.WEB_LEADS AS wl
WHERE ROW_ADDED_DTM >= /* one of 6 past dates */
GROUP BY wl.EMAIL_ADDRESS
)
SELECT EMAIL_ADDRESS,
/* pivot portion */
COUNT_ADDRESS_1_LAST_1_DAYS = *count address 1 from 1 day ago*,
COUNT_ADDRESS_1_LAST_7_DAYS = *count address 1 from 7 days ago*,
... other date ranges ...
COUNT_ADDRESS_2_LAST_1_DAYS = *count address 2 from 1 day ago*,
COUNT_ADDRESS_2_LAST_7_DAYS = *count address 2 from 7 days ago*,
... other date ranges ...
... repeat for 11 more columns ...
/* end pivot portion */
FROM y
GROUP BY EMAIL_ADDRESS
ORDER BY EMAIL_ADDRESS;
This is a little involved, and it should all be run as one script, but I'm going to break it up into chunks to intersperse comments on how the above portions are populated without typing them. (And before long #Bluefeet will probably come along with a much better PIVOT alternative.) I'll enclose my interspersed comments in /* */ so that you can still copy the bulk of this answer into Management Studio and run it with the comments intact.
Code/comments to copy follows:
/*
First, let's build a table of dates that can be used both to derive labels for pivoting and to assist with aggregation. I've added the three ranges you've mentioned and guessed at a fourth, but hopefully it is clear how to add more:
*/
DECLARE #d DATE = SYSDATETIME();
CREATE TABLE #L(label NVARCHAR(15), d DATE);
INSERT #L(label, d) VALUES
(N'LAST_1_DAYS', DATEADD(DAY, -1, #d)),
(N'LAST_7_DAYS', DATEADD(DAY, -8, #d)),
(N'LAST_14_DAYS', DATEADD(DAY, -15, #d)),
(N'LAST_MONTH', DATEADD(MONTH, -1, #d));
/*
Next, let's build the portions of the query that are repeated per column name. First, the aggregation portion is just in the format col = COUNT(DISTINCT col). We're going to go to the catalog views to dynamically derive the list of column names (except ID, EMAIL_ADDRESS and ROW_ADDED_DTM) and stuff them into a #temp table for re-use.
*/
SELECT name INTO #N FROM sys.columns
WHERE [object_id] = OBJECT_ID(N'dbo.WEB_LEADS')
AND name NOT IN (N'ID', N'EMAIL_ADDRESS', N'ROW_ADDED_DTM');
DECLARE #agg NVARCHAR(MAX) = N'', #piv NVARCHAR(MAX) = N'';
SELECT #agg += ',
' + QUOTENAME(name) + ' = COUNT(DISTINCT '
+ QUOTENAME(name) + ')' FROM #N;
PRINT #agg;
/*
Next we'll build the "pivot" portion (even though I am angling for the poor man's pivot - a bunch of CASE expressions). For each column name we need a conditional against each range, so we can accomplish this by cross joining the list of column names against our labels table. (And we'll use this exact technique again in the query later to make the /* one of past 6 dates */ portion work.
*/
SELECT #piv += ',
COUNT_' + n.name + '_' + l.label
+ ' = MAX(CASE WHEN label = N''' + l.label
+ ''' THEN ' + QUOTENAME(n.name) + ' END)'
FROM #N as n CROSS JOIN #L AS l;
PRINT #piv;
/*
Now, with those two portions populated as we'd like them, we can build a dynamic SQL statement that fills out the rest:
*/
DECLARE #sql NVARCHAR(MAX) = N';WITH y AS
(
SELECT
EMAIL_ADDRESS, l.label' + #agg + '
FROM dbo.WEB_LEADS AS wl
CROSS JOIN #L AS l
WHERE wl.ROW_ADDED_DTM >= l.d
GROUP BY wl.EMAIL_ADDRESS, l.label
)
SELECT EMAIL_ADDRESS' + #piv + '
FROM y
GROUP BY EMAIL_ADDRESS
ORDER BY EMAIL_ADDRESS;';
PRINT #sql;
EXEC sp_executesql #sql;
GO
DROP TABLE #N, #L;
/*
Now again, this is a pretty complex piece of code, and perhaps it can be made easier with PIVOT. But I think even #Bluefeet will write a version of PIVOT that uses dynamic SQL because there is just way too much to hard-code here IMHO.
*/
I've been given a string that can contain multiple offer codes separated by a tilde 123~125~126
I also have a table that may or may not define a parent/child relationship
tbl_allowed
============
offercode varchar(15)
parent_oc varchar(15)
ex:
offercode = 124
parent_oc = 126
I already have a function that will take the delimited string and split it, but I want to take the string, compare the contents to what's in tbl_allowed and regenerate it by replacing any values that exist in tbl_allowed in the parent_oc column with the value in the offercode column. If no defined relationship exists, then just use itself.
this is pretty simple with a single offercode:
set #newOfferCode = (select top 1 coalesce(cac.offercode, #lOfferCode)
from tbl_allowed cac
where OfferCode = #lOfferCode or parent_oc = #lOfferCode)
select coalesce(nullif(#newOfferCode,''), #lOfferCode)
but I'm having difficulty when I have a tilde delimited string. Any ideas?
Here's what I ended up doing. Seems to work.
CREATE TABLE #tempoffers(OfferCode varchar(15), NewOfferCode varchar(15))
INSERT INTO #tempoffers
SELECT OutParam, null
FROM dbo.SplitString(#lOfferCode, '~')
update #tempoffers set NewOfferCode = coalesce(cac.offercode, mb.offerCode)
from #tempoffers mb
left outer join tbl_Allowed cac on mb.OfferCode = cac.parent_oc
-- building the new string
declare #newOfferCode varchar(5000)
SELECT #newOfferCode = COALESCE(#newOfferCode + '~', '') + NewOfferCode FROM #tempoffers
drop table #tempoffers
SELECT #newOfferCode as OfferCode
I have a few tables in SQL that are pretty much like this
A B C
ID_A ID_B ID_C
Name Name Name
ID_A ID_B
As you can see, A is linked to B and B to C. Those are basically tables that contains data models. Now, I would need to be able to create date based on those tables. For example, if I have the following datas
A B C
1 Name1 1 SubName1 1 1 SubSubName1 1
2 Name2 2 SubName2 1 2 SubSubName2 1
3 SubName3 2 3 SubSubName3 2
4 SubSubName4 3
5 SubSubName5 3
I would like to copy the 'content' of those tables in others tables. Of course, the auto numeric key that is generated when inserting into the new tables are diffirent that those one and I would like to be able to keep track so that I can copy the entire thing. The structure of the recipient table contains more information that those, but it's mainly dates and other stuff that are easy to get for me.
I would need to this entirely in TRANSACT-SQL (with built-in function if needed). Is this possible and can anyone give me a short example. I manage to do it for one level, but I get confused for the rest.
thanks
EDIT : The info above is just an example, because my actual diagram looks more like this
Model tables :
Processes -- (1-N) Steps -- (1-N) Task -- (0-N) TaskCheckList
-- (0-N) StepsCheckLists
Where as the table I need to fill looks like this
Client -- (0-N) Sequence -- (1-N) ClientProcesses -- (1-N) ClientSteps -- (1-N)ClientTasks -- (0-N) ClientTaskCheckList
-- (0-N)ClientStepCheckLists
The Client already exists and when I need to run the script, I create one sequence, which will contains all processes, which will contains its steps, taks, etc...
Ok,
So I did a lot of trials and error, and here is what I got. It seems to work fine although it sound quite big for something that seemed easy at first.
The whole this is somehow in french and english because our client is french and so are we anyway. It does insert every date in all tables that I needed. The only thing left to this will be the first lines where I need to select the date to insert according to some parameters but this is the easy part.
DECLARE #IdProcessusRenouvellement bigint
DECLARE #NomProcessus nvarchar(255)
SELECT #IdProcessusRenouvellement = ID FROM T_Ref_Processus WHERE Nom LIKE 'EXP%'
SELECT #NomProcessus = Nom FROM T_Ref_Processus WHERE Nom LIKE 'EXP%'
DECLARE #InsertedSequence table(ID bigint)
DECLARE #Contrats table(ID bigint,IdClient bigint,NumeroContrat nvarchar(255))
INSERT INTO #Contrats SELECT ID,IdClient,NumeroContrat FROM T_ClientContrat
DECLARE #InsertedIdsSeq as Table(ID bigint)
-- Séquences de travail
INSERT INTO T_ClientContratSequenceTravail(IdClientContrat,Nom,DateDebut)
OUTPUT Inserted.ID INTO #InsertedIdsSeq
SELECT ID, #NomProcessus + ' - ' + CONVERT(VARCHAR(10), GETDATE(), 120) + ' : ' + NumeroContrat ,GETDATE()
FROM #Contrats
-- Processus
DECLARE #InsertedIdsPro as Table(ID bigint,IdProcessus bigint)
INSERT INTO T_ClientContratProcessus
(IdClientContratSequenceTravail,IdProcessus,Nom,DateDebut,DelaiRappel,DateRappel,LienAvecPro cessusRenouvellement,IdStatutProcessus,IdResponsable,Sequence)
OUTPUT Inserted.ID,Inserted.IdProcessus INTO #InsertedIdsPro
SELECT I.ID,P.ID,P.Nom,GETDATE(),P.DelaiRappel,GETDATE(),P.LienAvecProcessusRenouvellement,0,0,0
FROM #InsertedIdsSeq I, T_Ref_Processus P
WHERE P.ID = #IdProcessusRenouvellement
-- Étapes
DECLARE #InsertedIdsEt as table(ID bigint,IdProcessusEtape bigint)
INSERT INTO T_ClientContratProcessusEtape
(IdClientContratProcessus,IdProcessusEtape,Nom,DateDebut,DelaiRappel,DateRappel,NomListeVeri fication,Sequence,IdStatutEtape,IdResponsable,IdTypeResponsable,ListeVerificationTermine)
OUTPUT Inserted.ID,Inserted.IdProcessusEtape INTO #InsertedIdsEt
SELECT I.ID,E.ID,
E.Nom,GETDATE(),E.DelaiRappel,GETDATE(),COALESCE(L.Nom,''),E.Sequence,0,0,E.IdTypeResponsabl e,0
FROM #InsertedIdsPro I INNER JOIN T_Ref_ProcessusEtape E ON I.IdProcessus = E.IdProcessus
LEFT JOIN T_Ref_ListeVerification L ON E.IdListeVerification = L.ID
-- Étapes : Items de la liste de vérification
INSERT INTO T_ClientContratProcessusEtapeListeVerificationItem
(IdClientContratProcessusEtape,Nom,Requis,Verifie)
SELECT I.ID,IT.Nom,IT.Requis,0
FROM #InsertedIdsEt I
INNER JOIN T_Ref_ProcessusEtape E ON I.IdProcessusEtape = E.ID
INNER JOIN T_Ref_ListeVerificationItem IT ON E.IdListeVerification = IT.IdListeVerification
-- Tâches
DECLARE #InsertedIdsTa as table(ID bigint, IdProcessusEtapeTache bigint)
INSERT INTO T_ClientContratProcessusEtapeTache
(IdClientContratProcessusEtape,IdProcessusEtapeTache,Nom,DateDebut,DelaiRappel,DateRappel,No mListeVerification,Sequence,IdStatutTache,IdResponsable,IdTypeResponsable,ListeVerificationT ermine)
OUTPUT Inserted.ID,Inserted.IdProcessusEtapeTache INTO #InsertedIdsTa
SELECT I.ID,T.ID,
T.Nom,GETDATE(),T.DelaiRappel,GETDATE(),COALESCE(L.Nom,''),T.Sequence,0,0,T.IdTypeResponsabl e,0
FROM #InsertedIdsEt I
INNER JOIN T_Ref_ProcessusEtapeTache T ON I.IdProcessusEtape = T.IdProcessusEtape
LEFT JOIN T_Ref_ListeVerification L ON T.IdListeVerification = L.ID
-- Tâches : Items de la liste de vérification
INSERT INTO T_ClientContratProcessusEtapeTacheListeVerificationItem
(IdClientContratProcessusEtapeTache,Nom,Requis,Verifie)
SELECT I.ID,IT.Nom,IT.Requis,0
FROM #InsertedIdsTa I
INNER JOIN T_Ref_ProcessusEtapeTache T ON I.IdProcessusEtapeTache = T.ID
INNER JOIN T_Ref_ListeVerificationItem IT ON T.IdListeVerification = IT.IdListeVerification