SQL if statement with two tables

SQL if statement with two tables - sql

Given the following tables:
table objects
id Name rating
1 Megan 9
2 Irina 10
3 Vanessa 7
4 Samantha 9
5 Roxanne 1
6 Sonia 8
swap table
id swap_proposalid counterpartyid
1 4 2
2 3 2
Everyone wants the ten. I would like to make a list for Irina of possible swaps where id 4 and 3 don't appear because the propositions are already there.
output1
id Name rating
1 Megan 9
5 Roxanne 1
6 Sonia 8
Thanks

This should do the trick:
SELECT o.id, o.Name, o.rating
FROM objects o
LEFT JOIN swap s on o.id = s.swap_proposalid
WHERE s.id IS NULL
AND o.Name != 'Irina'

This works
SELECT mt2.ID, mt2.Name, mt2.Rating
FROM [MyTable] mt2 -- Other Candidates
, [MyTable] mt1 -- Candidate / Subject (Irina)
WHERE mt2.ID NOT IN
(
SELECT st.swap_proposalid
FROM SwapTable st
WHERE
st.counterpartyid = mt1.ID
)
AND mt1.ID <> mt2.ID -- Don't match Irina with Irina
AND mt1.Name = 'Irina' -- Find other swaps for Irina
-- Test Data
CREATE TABLE MyTable
(
ID INT,
Name VARCHAR(100),
Rating INT
)
GO
CREATE TABLE SwapTable
(
ID INT,
swap_proposalid INT,
counterpartyid INT
)
GO
INSERT INTO MyTable VALUES(1 ,'Megan', 9)
INSERT INTO MyTable VALUES(2 ,'Irina', 10)
INSERT INTO MyTable VALUES(3 ,'Vanessa', 7)
INSERT INTO MyTable VALUES(4 ,'Samantha', 9)
INSERT INTO MyTable VALUES(5 ,'Roxanne', 1)
INSERT INTO MyTable VALUES(6 ,'Sonia', 8)
INSERT INTO SwapTable(ID, swap_proposalid, counterpartyid)
VALUES (1, 4, 2)
INSERT INTO SwapTable(ID, swap_proposalid, counterpartyid)
VALUES (1, 3, 2)

Guessing that the logic involves identifying the objects EXCEPT the highest rated object EXCEPT propositions with the highest rated object e.g. (using sample DDL and data kindly posted by #nonnb):
WITH ObjectHighestRated
AS
(
SELECT ID
FROM MyTable
WHERE Rating = (
SELECT MAX(T.Rating)
FROM MyTable T
)
),
PropositionsForHighestRated
AS
(
SELECT swap_proposalid AS ID
FROM SwapTable
WHERE counterpartyid IN (SELECT ID FROM ObjectHighestRated)
),
CandidateSwappersForHighestRated
AS
(
SELECT ID
FROM MyTable
EXCEPT
SELECT ID
FROM ObjectHighestRated
EXCEPT
SELECT ID
FROM PropositionsForHighestRated
)
SELECT *
FROM MyTable
WHERE ID IN (SELECT ID FROM CandidateSwappersForHighestRated);

Related

How to the result set form the below table

Table 1 contains certain set of data's. I need to get the following result set form the Table 1
Table1
Id Desc ParentId
1 Cloths 0
2 Mens 1
3 Womens 1
4 T-Shirt_M 2
5 Casual Shirts_M 2
6 T-Shirt_F 3
7 Education 8
If I pass a parameter as "Casual Shirts_M" I should get the below result set.
Result Set
Id Desc ParentId
1 Cloths 0
2 Mens 1
5 Casual Shirts_M 2

As mentioned in comments, there are plenty of Recursive Common Table Expressions examples for this, here's another one
DECLARE #Desc NVARCHAR(50) = 'Casual Shirts_M'
;WITH cteX
AS
( SELECT
B.Id, B.[DESC], B.ParentId
FROM
Table1 b
WHERE
B.[Desc] = #Desc
UNION ALL
SELECT
E.Id, E.[DESC], E.ParentId
FROM
Table1 E
INNER JOIN
cteX r ON e.Id = r.ParentId
)
SELECT * FROM cteX ORDER BY ID ASC
SQL-Fiddle provided by #WhatsThePoint

The question comes under the concept of Building hierarchy using Recursive CTE:
CREATE TABLE cloths
(
id INT,
descr VARCHAR(100),
parentid INT
);
insert into cloths values (1,'Cloths',0);
insert into cloths values (2,'Mens',1);
insert into cloths values (3,'Womens',1);
insert into cloths values (4,'T-Shirt_M',2);
insert into cloths values (5,'Casual Shirts_M',2);
insert into cloths values (6,'T-Shirt_F',3);
insert into cloths values (7,'Education',8);
DECLARE #variety VARCHAR(100) = 'Casual Shirts_M';
WITH
cte1 (id, descr, parentid)
AS (SELECT *
FROM cloths
WHERE descr = #variety
UNION ALL
SELECT c.id,
c.descr,
c.parentid
FROM cloths c
INNER JOIN cte1 r
ON c.id = r.parentid)
SELECT *
FROM cte1
ORDER BY parentid ASC;

How to synthesize attribute for joined tables

I have a view defined like this:
CREATE VIEW [dbo].[PossiblyMatchingContracts] AS
SELECT
C.UniqueID,
CC.UniqueID AS PossiblyMatchingContracts
FROM [dbo].AllContracts AS C
INNER JOIN [dbo].AllContracts AS CC
ON C.SecondaryMatchCodeFB = CC.SecondaryMatchCodeFB
OR C.SecondaryMatchCodeLB = CC.SecondaryMatchCodeLB
OR C.SecondaryMatchCodeBB = CC.SecondaryMatchCodeBB
OR C.SecondaryMatchCodeLB = CC.SecondaryMatchCodeBB
OR C.SecondaryMatchCodeBB = CC.SecondaryMatchCodeLB
WHERE C.UniqueID NOT IN
(
SELECT UniqueID FROM [dbo].DefinitiveMatches
)
AND C.AssociatedUser IS NULL
AND C.UniqueID <> CC.UniqueID
Which is basically finding contracts where f.e. the first name and the birthday are matching. This works great. Now I want to add a synthetic attribute to each row with the value from only one source row.
Let me give you an example to make it clearer. Suppose I have the following table:
UniqueID | FirstName | LastName | Birthday
1 | Peter | Smith | 1980-11-04
2 | Peter | Gray | 1980-11-04
3 | Peter | Gray-Smith| 1980-11-04
4 | Frank | May | 1985-06-09
5 | Frank-Paul| May | 1985-06-09
6 | Gina | Ericson | 1950-11-04
The resulting view should look like this:
UniqueID | PossiblyMatchingContracts | SyntheticID
1 | 2 | PeterSmith1980-11-04
1 | 3 | PeterSmith1980-11-04
2 | 1 | PeterSmith1980-11-04
2 | 3 | PeterSmith1980-11-04
3 | 1 | PeterSmith1980-11-04
3 | 2 | PeterSmith1980-11-04
4 | 5 | FrankMay1985-06-09
5 | 4 | FrankMay1985-06-09
6 | NULL | NULL [or] GinaEricson1950-11-04
Notice that the SyntheticID column uses ONLY values from one of the matching source rows. It doesn't matter which one. I am exporting this view to another application and need to be able to identify each "match group" afterwards.
Is it clear what I mean? Any ideas how this could be done in sql?
Maybe it helps to elaborate a bit on the actual use case:
I am importing contracts from different systems. To account for the possibility of typos or people that have married but the last name was only updated in one system, I need to find so called 'possible matches'. Two or more contracts are considered a possible match if they contain the same birthday plus the same first, last or birth name. That implies, that if contract A matches contract B, contract B also matches contract A.
The target system uses multivalue reference attributes to store these relationships. The ultimate goal is to create user objects for these contracts. The catch first is, that the shall only be one user object for multiple matching contracts. Thus I'm creating these matches in the view. The second catch is, that the creation of user objects happens by workflows, which run parallel for each contract. To avoid creating multiple user objects for matching contracts, each workflow needs to check, if there is already a matching user object or another workflow, which is about to create said user object. Because the workflow engine is extremely slow compared to sql, the workflows should not repeat the whole matching test. So the idea is, to let the workflow check only for the 'syntheticID'.

I have solved it with a multi step approach:
Create the list of possible 1st level matches for each contract
Create the base groups list, assigning a different group for for
each contract (as if they were not related to anybody)
Iterate the matches list updating the group list when more contracts need to
be added to a group
Recursively build up the SyntheticID from final group list
Output results
First of all, let me explain what I have understood, so you can tell if my approach is correct or not.
1) matching propagates in "cascade"
I mean, if "Peter Smith" is grouped up with "Peter Gray", it means that all Smith and all Gray are related (if they have the same birth date) so Luke Smith can be in the same group of John Gray
2) I have not understood what you mean with "Birth Name"
You say contracts matches on "first, last or birth name", sorry, I'm italian, I thought birth name and first were the same, also in your data there is not such column. Maybe it is related to that dash symbol between names?
When FirstName is Frank-Paul it means it should match both Frank and Paul?
When LastName is Gray-Smith it means it should match both Gray and Smith?
In following code I have simply ignored this problem, but it could be handled if needed (I already did a try, breaking names, unpivoting them and treating as double match).
Step Zero: some declaration and prepare base data
declare #cli as table (UniqueID int primary key, FirstName varchar(20), LastName varchar(20), Birthday varchar(20))
declare #comb as table (id1 int, id2 int, done bit)
declare #grp as table (ix int identity primary key, grp int, id int, unique (grp,ix))
declare #str_id as table (grp int primary key, SyntheticID varchar(1000))
declare #id1 as int, #g int
;with
t as (
select *
from (values
(1 , 'Peter' , 'Smith' , '1980-11-04'),
(2 , 'Peter' , 'Gray' , '1980-11-04'),
(3 , 'Peter' , 'Gray-Smith', '1980-11-04'),
(4 , 'Frank' , 'May' , '1985-06-09'),
(5 , 'Frank-Paul', 'May' , '1985-06-09'),
(6 , 'Gina' , 'Ericson' , '1950-11-04')
) x (UniqueID , FirstName , LastName , Birthday)
)
insert into #cli
select * from t
Step One: Create the list of possible 1st level matches for each contract
;with
p as(select UniqueID, Birthday, FirstName, LastName from #cli),
m as (
select p.UniqueID UniqueID1, p.FirstName FirstName1, p.LastName LastName1, p.Birthday Birthday1, pp.UniqueID UniqueID2, pp.FirstName FirstName2, pp.LastName LastName2, pp.Birthday Birthday2
from p
join p pp on (pp.Birthday=p.Birthday) and (pp.FirstName = p.FirstName or pp.LastName = p.LastName)
where p.UniqueID<=pp.UniqueID
)
insert into #comb
select UniqueID1,UniqueID2,0
from m
Step Two: Create the base groups list
insert into #grp
select ROW_NUMBER() over(order by id1), id1 from #comb where id1=id2
Step Three: Iterate the matches list updating the group list
Only loop on contracts that have possible matches and updates only if needed
set #id1 = 0
while not(#id1 is null) begin
set #id1 = (select top 1 id1 from #comb where id1<>id2 and done=0)
if not(#id1 is null) begin
set #g = (select grp from #grp where id=#id1)
update g set grp= #g
from #grp g
inner join #comb c on g.id = c.id2
where c.id2<>#id1 and c.id1=#id1
and grp<>#g
update #comb set done=1 where id1=#id1
end
end
Step Four: Build up the SyntheticID
Recursively add ALL (distinct) first and last names of group to SyntheticID.
I used '_' as separator for birth date, first names and last names, and ',' as separator for the list of names to avoid conflicts.
;with
c as(
select c.*, g.grp
from #cli c
join #grp g on g.id = c.UniqueID
),
d as (
select *, row_number() over (partition by g order by t,s) n1, row_number() over (partition by g order by t desc,s desc) n2
from (
select distinct c.grp g, 1 t, FirstName s from c
union
select distinct c.grp, 2, LastName from c
) l
),
r as (
select d.*, cast(CONVERT(VARCHAR(10), t.Birthday, 112) + '_' + s as varchar(1000)) Names, cast(0 as bigint) i1, cast(0 as bigint) i2
from d
join #cli t on t.UniqueID=d.g
where n1=1
union all
select d.*, cast(r.names + IIF(r.t<>d.t,'_',',') + d.s as varchar(1000)), r.n1, r.n2
from d
join r on r.g = d.g and r.n1=d.n1-1
)
insert into #str_id
select g, Names
from r
where n2=1
Step Five: Output results
select c.UniqueID, case when id2=UniqueID then id1 else id2 end PossibleMatchingContract, s.SyntheticID
from #cli c
left join #comb cb on c.UniqueID in(id1,id2) and id1<>id2
left join #grp g on c.UniqueID = g.id
left join #str_id s on s.grp = g.grp
Here is the results
UniqueID PossibleMatchingContract SyntheticID
1 2 1980-11-04_Peter_Gray,Gray-Smith,Smith
1 3 1980-11-04_Peter_Gray,Gray-Smith,Smith
2 1 1980-11-04_Peter_Gray,Gray-Smith,Smith
2 3 1980-11-04_Peter_Gray,Gray-Smith,Smith
3 1 1980-11-04_Peter_Gray,Gray-Smith,Smith
3 2 1980-11-04_Peter_Gray,Gray-Smith,Smith
4 5 1985-06-09_Frank,Frank-Paul_May
5 4 1985-06-09_Frank,Frank-Paul_May
6 NULL 1950-11-04_Gina_Ericson
I think that in this way the resulting SyntheticID should also be "unique" for each group

This creates a synthetic value and is easy to change to suit your needs.
DECLARE #T TABLE (
UniqueID INT
,FirstName VARCHAR(200)
,LastName VARCHAR(200)
,Birthday DATE
)
INSERT INTO #T(UniqueID,FirstName,LastName,Birthday) SELECT 1,'Peter','Smith','1980-11-04'
INSERT INTO #T(UniqueID,FirstName,LastName,Birthday) SELECT 2,'Peter','Gray','1980-11-04'
INSERT INTO #T(UniqueID,FirstName,LastName,Birthday) SELECT 3,'Peter','Gray-Smith','1980-11-04'
INSERT INTO #T(UniqueID,FirstName,LastName,Birthday) SELECT 4,'Frank','May','1985-06-09'
INSERT INTO #T(UniqueID,FirstName,LastName,Birthday) SELECT 5,'Frank-Paul','May','1985-06-09'
INSERT INTO #T(UniqueID,FirstName,LastName,Birthday) SELECT 6,'Gina','Ericson','1950-11-04'
DECLARE #PossibleMatches TABLE (UniqueID INT,[PossibleMatch] INT,SynKey VARCHAR(2000)
)
INSERT INTO #PossibleMatches
SELECT t1.UniqueID [UniqueID],t2.UniqueID [Possible Matches],'Ln=' + t1.LastName + ' Fn=' + + t1.FirstName + ' DoB=' + CONVERT(VARCHAR,t1.Birthday,102) [SynKey]
FROM #T t1
INNER JOIN #T t2 ON t1.Birthday=t2.Birthday
AND t1.FirstName=t2.FirstName
AND t1.LastName=t2.LastName
AND t1.UniqueID<>t2.UniqueID
INSERT INTO #PossibleMatches
SELECT t1.UniqueID [UniqueID],t2.UniqueID [Possible Matches],'Fn=' + t1.FirstName + ' DoB=' + CONVERT(VARCHAR,t1.Birthday,102) [SynKey]
FROM #T t1
INNER JOIN #T t2 ON t1.Birthday=t2.Birthday
AND t1.FirstName=t2.FirstName
AND t1.UniqueID<>t2.UniqueID
INSERT INTO #PossibleMatches
SELECT t1.UniqueID,t2.UniqueID,'Ln=' + t1.LastName + ' DoB=' + CONVERT(VARCHAR,t1.Birthday,102) [SynKey]
FROM #T t1
INNER JOIN #T t2 ON t1.Birthday=t2.Birthday
AND t1.LastName=t2.LastName
AND t1.UniqueID<>t2.UniqueID
INSERT INTO #PossibleMatches
SELECT t1.UniqueID,pm.UniqueID,'Ln=' + t1.LastName + ' Fn=' + + t1.FirstName + ' DoB=' + CONVERT(VARCHAR,t1.Birthday,102) [SynKey]
FROM #T t1
LEFT JOIN #PossibleMatches pm on pm.UniqueID=t1.UniqueID
WHERE pm.UniqueID IS NULL
SELECT *
FROM #PossibleMatches
ORDER BY UniqueID,[PossibleMatch]

I think this will work for you
SELECT
C.UniqueID,
CC.UniqueID AS PossiblyMatchingContracts,
FIRST_VALUE(CC.FirstName+CC.LastName+CC.Birthday)
OVER (PARTITION BY C.UniqueID ORDER BY CC.UniqueID) as SyntheticID
FROM
[dbo].AllContracts AS C INNER JOIN
[dbo].AllContracts AS CC ON
C.SecondaryMatchCodeFB = CC.SecondaryMatchCodeFB OR
C.SecondaryMatchCodeLB = CC.SecondaryMatchCodeLB OR
C.SecondaryMatchCodeBB = CC.SecondaryMatchCodeBB OR
C.SecondaryMatchCodeLB = CC.SecondaryMatchCodeBB OR
C.SecondaryMatchCodeBB = CC.SecondaryMatchCodeLB
WHERE
C.UniqueID NOT IN(
SELECT UniqueID FROM [dbo].DefinitiveMatches)
AND C.AssociatedUser IS NULL

You can try this:
SELECT
C.UniqueID,
CC.UniqueID AS PossiblyMatchingContracts,
FIRST_VALUE(CC.FirstName+CC.LastName+CC.Birthday)
OVER (PARTITION BY C.UniqueID ORDER BY CC.UniqueID) as SyntheticID
FROM
[dbo].AllContracts AS C
INNER JOIN
[dbo].AllContracts AS CC
ON
C.SecondaryMatchCodeFB = CC.SecondaryMatchCodeFB
OR
C.SecondaryMatchCodeLB = CC.SecondaryMatchCodeLB
OR
C.SecondaryMatchCodeBB = CC.SecondaryMatchCodeBB
OR
C.SecondaryMatchCodeLB = CC.SecondaryMatchCodeBB
OR
C.SecondaryMatchCodeBB = CC.SecondaryMatchCodeLB
WHERE
C.UniqueID NOT IN
(
SELECT UniqueID FROM [dbo].DefinitiveMatches
)
AND
C.AssociatedUser IS NULL
This will generate one extra row (because we left out C.UniqueID <> CC.UniqueID) but will give you the good souluton.

Following an example with some example data extracted from your original post. The idea: Generate all SyntheticID in a CTE, query all records with a "PossibleMatch" and Union it with all records which are not yet included:
DECLARE #t TABLE(
UniqueID int
,FirstName nvarchar(20)
,LastName nvarchar(20)
,Birthday datetime
)
INSERT INTO #t VALUES (1, 'Peter', 'Smith', '1980-11-04');
INSERT INTO #t VALUES (2, 'Peter', 'Gray', '1980-11-04');
INSERT INTO #t VALUES (3, 'Peter', 'Gray-Smith', '1980-11-04');
INSERT INTO #t VALUES (4, 'Frank', 'May', '1985-06-09');
INSERT INTO #t VALUES (5, 'Frank-Paul', 'May', '1985-06-09');
INSERT INTO #t VALUES (6, 'Gina', 'Ericson', '1950-11-04');
WITH ctePrep AS(
SELECT UniqueID, FirstName, LastName, BirthDay,
ROW_NUMBER() OVER (PARTITION BY FirstName, BirthDay ORDER BY FirstName, BirthDay) AS k,
FirstName+LastName+CONVERT(nvarchar(10), Birthday, 126) AS SyntheticID
FROM #t
),
cteKeys AS(
SELECT FirstName, BirthDay, SyntheticID
FROM ctePrep
WHERE k = 1
),
cteFiltered AS(
SELECT
C.UniqueID,
CC.UniqueID AS PossiblyMatchingContracts,
keys.SyntheticID
FROM #t AS C
JOIN #t AS CC ON C.FirstName = CC.FirstName
AND C.Birthday = CC.Birthday
JOIN cteKeys AS keys ON keys.FirstName = c.FirstName
AND keys.Birthday = c.Birthday
WHERE C.UniqueID <> CC.UniqueID
)
SELECT UniqueID, PossiblyMatchingContracts, SyntheticID
FROM cteFiltered
UNION ALL
SELECT UniqueID, NULL, FirstName+LastName+CONVERT(nvarchar(10), Birthday, 126) AS SyntheticID
FROM #t
WHERE UniqueID NOT IN (SELECT UniqueID FROM cteFiltered)
Hope this helps. The result looked OK to me:
UniqueID PossiblyMatchingContracts SyntheticID
---------------------------------------------------------------
2 1 PeterSmith1980-11-04
3 1 PeterSmith1980-11-04
1 2 PeterSmith1980-11-04
3 2 PeterSmith1980-11-04
1 3 PeterSmith1980-11-04
2 3 PeterSmith1980-11-04
4 NULL FrankMay1985-06-09
5 NULL Frank-PaulMay1985-06-09
6 NULL GinaEricson1950-11-04

Tested in SSMS, it works perfect. :)
--create table structure
create table #temp
(
uniqueID int,
firstname varchar(15),
lastname varchar(15),
birthday date
)
--insert data into the table
insert #temp
select 1, 'peter','smith','1980-11-04'
union all
select 2, 'peter','gray','1980-11-04'
union all
select 3, 'peter','gray-smith','1980-11-04'
union all
select 4, 'frank','may','1985-06-09'
union all
select 5, 'frank-paul','may','1985-06-09'
union all
select 6, 'gina','ericson','1950-11-04'
select * from #temp
--solution is as below
select ab.uniqueID
, PossiblyMatchingContracts
, c.firstname+c.lastname+cast(c.birthday as varchar) as synID
from
(
select a.uniqueID
, case
when a.uniqueID < min(b.uniqueID)over(partition by a.uniqueid)
then a.uniqueID
else min(b.uniqueID)over(partition by a.uniqueid)
end as SmallestID
, b.uniqueID as PossiblyMatchingContracts
from #temp a
left join #temp b
on (a.firstname = b.firstname OR a.lastname = b.lastname) AND a.birthday = b.birthday AND a.uniqueid <> b.uniqueID
) as ab
left join #temp c
on ab.SmallestID = c.uniqueID
Result capture is attached below:

Say we have following table (a VIEW in your case):
UniqueID PossiblyMatchingContracts SyntheticID
1 2 G1
1 3 G2
2 1 G3
2 3 G4
3 1 G4
3 4 G6
4 5 G7
5 4 G8
6 NULL G9
In your case you can set initial SyntheticID as a string like PeterSmith1980-11-04 using UniqueID for each line. Here is a recursive CTE query it divides all lines to unconnected groups and select MAX(SyntheticId) in the current group as a new SyntheticID for all lines in this group.
WITH CTE AS
(
SELECT CAST(','+CAST(UniqueID AS Varchar(100)) +','+ CAST(PossiblyMatchingContracts as Varchar(100))+',' as Varchar(MAX)) as GroupCont,
SyntheticID
FROM PossiblyMatchingContracts
UNION ALL
SELECT CAST(GroupCont+CAST(UniqueID AS Varchar(100)) +','+ CAST(PossiblyMatchingContracts as Varchar(100))+',' AS Varchar(MAX)) as GroupCont,
pm.SyntheticID
FROM CTE
JOIN PossiblyMatchingContracts as pm
ON
(
CTE.GroupCont LIKE '%,'+CAST(pm.UniqueID AS Varchar(100))+',%'
OR
CTE.GroupCont LIKE '%,'+CAST(pm.PossiblyMatchingContracts AS Varchar(100))+',%'
)
AND NOT
(
CTE.GroupCont LIKE '%,'+CAST(pm.UniqueID AS Varchar(100))+',%'
AND
CTE.GroupCont LIKE '%,'+CAST(pm.PossiblyMatchingContracts AS Varchar(100))+',%'
)
)
SELECT pm.UniqueID,
pm.PossiblyMatchingContracts,
ISNULL(
(SELECT MAX(SyntheticID) FROM CTE WHERE
(
CTE.GroupCont LIKE '%,'+CAST(pm.UniqueID AS Varchar(100))+',%'
OR
CTE.GroupCont LIKE '%,'+CAST(pm.PossiblyMatchingContracts AS Varchar(100))+',%'
))
,pm.SyntheticID) as SyntheticID
FROM PossiblyMatchingContracts pm

Check duplicates in sql table and replace the duplicates ID in another table

I have a table with duplicate entries (I forgot to make NAME column unique)
So I now have this Duplicate entry table called 'table 1'
ID NAME
1 John F Smith
2 Sam G Davies
3 Tom W Mack
4 Bob W E Jone
5 Tom W Mack
IE ID 3 and 5 are duplicates
Table 2
ID NAMEID ORDERS
1 2 item4
2 1 item5
3 4 item6
4 3 item23
5 5 item34
NAMEID are ID from table 1. Table 2 ID 4 and 5 I want to have NAMEID of 3 (Tom W Mack's Orders) like so
Table 2 (correct version)
ID NAMEID ORDERS
1 2 item4
2 1 item5
3 4 item6
4 3 item23
5 3 item34
Is there an easy way to find and update the duplicates NAMEID in table 2 then remove the duplicates from table 1

In this case what you can do is.
You can find how many duplicate records you have.
In Order to find duplicate records you can use.
SELECT ID, NAME,COUNT(1) as CNT FROM TABLE1 GROUP BY ID, NAME
This is will give you the count and you find all the duplicate records
and delete them manually.
Don't forget to alter your table after removing all the duplicate records.

Here's how you can do it:
-- set up the environment
create table #t (ID int, NAME varchar(50))
insert #t values
(1, 'John F Smith'),
(2, 'Sam G Davies'),
(3, 'Tom W Mack'),
(4, 'Bob W E Jone'),
(5, 'Tom W Mack')
create table #t2 (ID int, NAMEID int, ORDERS varchar(10))
insert #t2 values
(1, 2, 'item4'),
(2, 1, 'item5'),
(3, 4, 'item6'),
(4, 3, 'item23'),
(5, 5, 'item34')
go
-- update the referencing table first
;with x as (
select id,
first_value(id) over(partition by name order by id) replace_with
from #t
),
y as (
select #t2.nameid, x.replace_with
FROM #t2
join x on #t2.nameid = x.id
where #t2.nameid <> x.replace_with
)
update y set nameid = replace_with
-- delete duplicates from referenced table
;with x as (
select *, row_number() over(partition by name order by id) rn
from #t
)
delete x where rn > 1
select * from #t
select * from #t2
Pls, test first for performance and validity.

Let's use the example data
INSERT INTO TableA
(`ID`, `NAME`)
VALUES
(1, 'NameA'),
(2, 'NameB'),
(3, 'NameA'),
(4, 'NameC'),
(5, 'NameB'),
(6, 'NameD')
and
INSERT INTO TableB
(`ID`, `NAMEID`, `ORDERS`)
VALUES
(1, 2, 'itemB1'),
(2, 1, 'itemA1'),
(3, 4, 'itemC1'),
(4, 3, 'itemA2'),
(5, 5, 'itemB2'),
(5, 6, 'itemD1')
(makes it a bit easier to spot the duplicates and check the result)
Let's start with a simple query to get the smallest ID for a given NAME
SELECT
NAME, min(ID)
FROM
tableA
GROUP BY
NAME
And the result is [NameA,1], [NameB,2], [NameC,4], [NameD,6]
Now if you use that as an uncorrelated subquery for a JOIN with the base table like
SELECT
keep.kid, dup.id
FROM
tableA as dup
JOIN
(
SELECT
NAME, min(ID) as kid
FROM
tableA
GROUP BY
NAME
) as keep
ON
keep.NAME=dup.NAME
AND keep.kid<dup.id
It finds all duplicates that have the same name as in the result of the subquery but a different id + it also gives you the id of the "original", i.e. the smallest id for that name.
For the example it's [1,3], [2,5]
Now you can use that in an UPDATE query like
UPDATE
TableB as b
JOIN
tableA as dup
JOIN
(
SELECT
NAME, min(ID) as kid
FROM
tableA
GROUP BY
NAME
) as keep
ON
keep.NAME=dup.NAME
AND keep.kid<dup.id
SET
b.NAMEID=keep.kid
WHERE
b.NAMEID=dup.id
And the result is
ID,NAMEID,ORDERS
1, 2, itemB1
2, 1, itemA1
3, 4, itemC1
4, 1, itemA2 <- now has NAMEID=1
5, 2, itemB2 <- now has NAMEID=2
5, 6, itemD1
To eleminate the duplicates from tableA you can use the first query again.

find records for user that are not contiguous

I am having trouble figuring out how to even start this query.
I have a table that has the following columns and data:
User BeginMile EndMile
1 1 5
1 5 6
1 6 20
1 20 25
1 25 29
2 1 9
2 15 20
3 1 2
3 6 10
3 10 12
I need to first find where there are gaps for each user from the EndMile of the previous record, to the BeginMile of the next record. I then need to return the record before and after where the gap occurs for each user.
In the previous data example, I would like the following returned:
User PrevBeginMile PrevEndMile AfterBeginMile AfterEndMile Gap
2 1 9 15 20 6
3 1 2 6 10 4
How can this be done?

Considering you're on SQL 2005, this should work:
DECLARE #Runners TABLE (Id INT, BeginMile INT, EndMile INT)
INSERT INTO #Runners VALUES (1,1,5)
INSERT INTO #Runners VALUES (1,5,6)
INSERT INTO #Runners VALUES (1,6,20)
INSERT INTO #Runners VALUES (1,20,25)
INSERT INTO #Runners VALUES (1,25,29)
INSERT INTO #Runners VALUES (2,1,9)
INSERT INTO #Runners VALUES (2,15,20)
INSERT INTO #Runners VALUES (3,1,2)
INSERT INTO #Runners VALUES (3,6,10)
INSERT INTO #Runners VALUES (3,10,12)
WITH OrderedUsers AS (
SELECT *
, ROW_NUMBER() OVER (PARTITION BY Id ORDER BY BeginMile) RowNum
FROM #Runners
)
SELECT a.Id [User]
, a.BeginMile PrevBeginMile
, a.EndMile PrevEndMile
, b.BeginMile AfterBeginMile
, b.EndMile AfterEndMile
, b.BeginMile - a.EndMile Gap
FROM OrderedUsers a
JOIN OrderedUsers b
ON a.Id = b.Id
AND a.EndMile <> b.BeginMile
AND a.RowNum = b.RowNum - 1

Other than using RowNumber() [as in other answers], you could use...
SELECT
[current].User,
[current].BeginMile AS [PrevBeginMile],
[current].EndMile AS [PrevEndMile],
[next].BeginMile AS [AfterBeginMile],
[next].EndMile AS [AfterEndMile],
[next].BeginMile - [current].EndMile AS [Gap]
FROM
myTable AS [current]
CROSS APPLY
(SELECT TOP 1 * FROM myTable WHERE user = [current].User AND BeginMile > [current].BeginMile ORDER BY BeginMile ASC) AS [next]
WHERE
[current].EndMile <> [next].BeginMile
Or possibly...
FROM
myTable AS [current]
INNER JOIN
myTable AS [next]
ON [next].BeginMile != [current].EndMile
AND [next].BeginMile = (
SELECT
MIN(BeginMile)
FROM
myTable
WHERE
user = [current].User
AND BeginMile > [current].BeginMile
)

How about
WITH acte(user,beginmile,endmile) AS
(
SELECT user,start,end
ROW_NUMBER() OVER(PARTITION BY user ORDER BY START ASC) rownum
FROM mytable
)
SELECT base.user,base.beginmile,base.endmile,base.BeginMile - lead.EndMile Gap
FROM acte base
LEFT JOIN acte lead on base.id=lead.id AND base.rownum=lead.rownum-1
WHERE base.BeginMile - lead.EndMile > 0

disaggregate summarised table in SQL Server 2008

I've received data from an external source, which is in a summarised format. I need a way to disaggregate this to fit into a system I am using.
To illustrate, suppose the data I received looks like this:
receivedTable:
Age Gender Count
40 M 3
41 M 2
I want this is a disaggregated format like this:
systemTable:
ID Age Gender
1 40 M
2 40 M
3 40 M
4 41 M
5 41 M
Thanks
Karl

Depending of the range of your count you could use a lookup table that holds exactly x records for each integer x. Like this:
create table counter(num int)
insert into counter select 1
insert into counter select 2
insert into counter select 2
insert into counter select 3
insert into counter select 3
insert into counter select 3
insert into counter select 4
insert into counter select 4
insert into counter select 4
insert into counter select 4
then join with this table:
create table source(age int, gender char(1), num int)
insert into source select 40, 'm', 3
insert into source select 30, 'f', 2
insert into source select 20, 'm', 1
--insert into destination(age, gender)
select age, gender
from source
inner join counter on counter.num = source.num

From the "Works on my machine (TM)" stable a recursive query, with all the usual caveats about maximum recursion depth.
with Expanded(exAge, exGender, exRowIndex) as
(
select
Age as exAge,
Gender as exGender,
1 as exRowIndex
from
tblTest1
union all
select
exAge,
exGender,
exRowIndex+1
from
tblTest1 t1
inner join
Expanded e on (e.exAge = t1.Age and e.exGender = t1.Gender and e.exRowIndex < t1.Count)
)
select
exAge,
exGender,
exRowIndex
from
Expanded
order by
exAge,
exGender,
exRowIndex
option (MAXRECURSION 0) -- BE CAREFUL!!
You don't get the row identifier - but inserting the result of the query into a table with an identity column would deal with that.

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SQL if statement with two tables - sql

This should do the trick: SELECT o.id, o.Name, o.rating FROM objects o LEFT JOIN swap s on o.id = s.swap_proposalid WHERE s.id IS NULL AND o.Name != 'Irina'

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disaggregate summarised table in SQL Server 2008

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