Multiple counts on a single column SQL - sql

I am currently running a query like the following:
SELECT a.ID, a.ContactID, a.Code,
FROM tableA a
JOIN (SELECT ContactID, Code
FROM tableA
WHERE ContactID IS NOT NULL
GROUP BY Code, ContactID
HAVING COUNT(Code) > 1) b
ON (a.Code = b.Code AND a.ContactID = b.ContactID)
WHERE a.ContactID IS NOT NULL
ORDER BY a.Code
This returns data that looks like the folloing:
table : a
+-------+-----------+-----------+
| ID | ContactID | Code |
+-------+-----------+-----------+
| 1 | 111 | abcd2 |
| 2 | 111 | abcd2 |
| 3 | 222 | abcd1 |
| 4 | 222 | abcd1 |
| 5 | 222 | abcd1 |
| 6 | 222 | abcd1 |
+-------+-----------+-----------+
So as you can see I get ContactID's that have more then one of the same Code.
The problem with this is, is that I don't want all this output (real table is much larger). I want a COUNT to go along side the Code column and just show one row for each iteration of Code. Like the following:
+-------+-----------+-----------+------+
| ID | ContactID | Code |COUNT |
+-------+-----------+-----------+------+
| 1 | 111 | abcd2 | 2 |
| 3 | 222 | abcd1 | 4 |
+-------+-----------+-----------+------+
Any help on this would be great and I hope I have explained my problem well enough. If not please ask for more information and if this has been answered before please point in that direction.
Thanks.

Your solution and other answers are way to complicated, you don't need the self join when you're simply aggregating with HAVING Count(x) > 1:
SELECT MIN(ID), ContactID, Code, COUNT(Code) AS [COUNT]
FROM tableA
WHERE ContactID IS NOT NULL
GROUP BY Code, ContactID
HAVING COUNT(Code) > 1
Full solution:
SQL Fiddle
CREATE TABLE TableA
([ID] int, [ContactID] int, [Code] varchar(5))
;
INSERT INTO TableA
([ID], [ContactID], [Code])
VALUES
(1, 111, 'abcd2'),
(2, 111, 'abcd2'),
(3, 222, 'abcd1'),
(4, 222, 'abcd1'),
(5, 222, 'abcd1'),
(6, 222, 'abcd1')
;
Query 1:
SELECT min(id), ContactID, Code, count(Code) as [COUNT]
FROM tableA
WHERE ContactID IS NOT NULL
GROUP BY Code, ContactID
HAVING COUNT(Code) > 1
Results:
| | ContactID | Code | |
|---|-----------|-------|---|
| 1 | 111 | abcd2 | 2 |
| 3 | 222 | abcd1 | 4 |

I would use exists instead of subquery :
select min(a.id) as id, a.ContactID, a.Code, count(*) as Cnt
from tableA a
where exists (select 1
from tableA a1
where a1.ContactID = a.ContactID and
a1.Code = a.Code and
a1.id <> a.id
)
group by a.ContactID, a.Code;

sub-query
select min(ID) as id, ContactID,Code,count(*) as cnt from
(SELECT a.ID, a.ContactID, a.Code
FROM tableA a
JOIN (SELECT ContactID, Code
FROM tableA
WHERE ContactID IS NOT NULL
GROUP BY Code, ContactID
HAVING COUNT(Code) > 1) b
ON (a.Code = b.Code AND a.ContactID = b.ContactID)
WHERE a.RetailContactID IS NOT NULL
ORDER BY a.Code
) t group ContactID,Code

;WITH CTE AS
(
SELECT a.ID, a.ContactID, a.Code,
FROM tableA a
JOIN (SELECT ContactID, Code
FROM tableA
WHERE ContactID IS NOT NULL
GROUP BY Code, ContactID
HAVING COUNT(Code) > 1) b
ON (a.Code = b.Code AND a.ContactID = b.ContactID)
WHERE a.RetailContactID IS NOT NULL
)
SELECT ID, ContactID, Code, COUNT(*) AS Cnt
FROM CTE
GROUP BY ID, ContactID, Code
ORDER BY 1, 2, 3

Extend your SQL query with one more grouping:
SELECT min(a.ID), a.ContactID, a.Code, count(*)
...
GROUP BY a.ContactID, a.Code
ORDER BY a.Code

Use group by in your select query
select x.ContactID, x.Code, [count] = count(x.id) from (
select id = 1 , ContactID = 111 , Code = 'abcd2' union all
select 2 , 111 , 'abcd2' union all
select 3 , 222 , 'abcd1' union all
select 4 , 222 , 'abcd1' union all
select 5 , 222 , 'abcd1' union all
select 6 , 222 , 'abcd1') x group by x.Code, x.ContactID

Related

SQL Query group by in case statement

I Have three tables like bellow
**tRole**
+--------+----------+-----------+
| RoleID | RoleCode | RoleTitle |
+--------+----------+-----------+
| 1 | Role1 | RT1 |
| 2 | Role2 | RT2 |
| 3 | Role3 | RT3 |
+--------+----------+-----------+
**tEmployee**
+-------+-------+
| EmpID | Name |
+-------+-------+
| 1 | Emp 1 |
| 2 | Emp 2 |
| 3 | Emp 3 |
+-------+-------+
**tEmployeeRole**
+-------+--------+
| EmpID | RoleID |
+-------+--------+
| 1 | 1 |
| 1 | 2 |
| 2 | 1 |
| 2 | 2 |
| 3 | 3 |
+-------+--------+
I want a output like below ,If a role mapped with only one employee then employee name will show other wise Multiple will show.
+--------+----------+-----------+----------+
| RoleID | RoleCode | RoleTitle | Employee |
+--------+----------+-----------+----------+
| 1 | Role1 | RT1 | Multiple |
| 2 | Role2 | RT2 | Multiple |
| 3 | Role3 | RT3 | Emp 3 |
+--------+----------+-----------+----------+
I write bellow query but when I group by emp.First_Name then the result is wrong
select cr.RoleCode,cr.RoleID,
case
when count(ear.RoleID)=1 then emp.First_Name
else 'M' end as 'AssignedTO'
from tRole as cr
left outer join tEmployeeRole as ear on cr.RoleID=ear.RoleID
left outer join tEmployee as emp on ear.EmployeeID=emp.EmployeeID
group by cr.RoleCode,crRoleID,emp.First_Name
Hello You can use this query for your solution :
you need to count with partition and use distinct data
DECLARE #tRole TABLE (
RoleID INT
,RoleCode VARCHAR(50)
,RoleTitle VARCHAR(50)
)
DECLARE #tEmployee TABLE (
EmpID INT
,EmpName VARCHAR(50)
)
DECLARE #tEmployeeRole TABLE ( EmpID INT, RoleID INT )
INSERT #tRole ( RoleID, RoleCode, RoleTitle )
SELECT 1, 'Role1', 'RT1'
UNION
SELECT 2, 'Role2', 'RT2'
UNION
SELECT 3, 'Role3', 'RT3'
INSERT #tEmployee ( EmpID, EmpName )
SELECT 1, 'Epm 1'
UNION
SELECT 2, 'Epm 2'
UNION
SELECT 3, 'Epm 3'
INSERT #tEmployeeRole ( EmpID, RoleID )
SELECT 1, 1
UNION
SELECT 1, 2
UNION
SELECT 2, 1
UNION
SELECT 2, 2
UNION
SELECT 3, 3
SELECT DISTINCT tRole.RoleID
, RoleCode
, RoleTitle
, CASE WHEN COUNT(tEmployeeRole.EmpID) OVER ( PARTITION BY tEmployee.EmpID ) = 1 THEN tEmployee.EmpName ELSE 'Multiple'END [Employee]
FROM #tEmployee tEmployee
LEFT OUTER JOIN #tEmployeeRole tEmployeeRole ON tEmployeeRole.EmpID = tEmployee.EmpID
LEFT OUTER JOIN #tRole tRole ON tRole.RoleID = tEmployeeRole.RoleID
You can Modify the answer from #Pratik to add a col that lists the employees
;with CTE as(
SELECT
DISTINCT tRole.RoleID
RoleCode
, RoleTitle
, CASE WHEN COUNT(tEmployeeRole.EmpID) OVER ( PARTITION BY tEmployee.EmpID ) = 1 THEN tEmployee.EmpName ELSE 'Multiple'END [Employee]
FROM #tEmployee tEmployee
LEFT OUTER JOIN #tEmployeeRole tEmployeeRole ON tEmployeeRole.EmpID = tEmployee.EmpID
LEFT OUTER JOIN #tRole tRole ON tRole.RoleID = tEmployeeRole.RoleID
)
select *
,stuff( (select ','+EmpName from #tEmployee IE inner join #tEmployeeRole IER on IE.EmpID = IER.EmpID where IER.RoleID = CTE.rolecode for xml PATH('') ),1,1,'') AS EMList
from CTE
This query might help you out . Make a try
Your Tables Data looks like
create TABLE #tRole (RoleID INT ,RoleCode VARCHAR(50) ,RoleTitle VARCHAR(50) )
create TABLE #tEmployee (EmpID INT ,EmpName VARCHAR(50) )
create TABLE #tEmployeeRole( EmpID INT, RoleID INT )
INSERT #tRole ( RoleID, RoleCode, RoleTitle )
SELECT 1, 'Role1', 'RT1'
UNION
SELECT 2, 'Role2', 'RT2'
UNION
SELECT 3, 'Role3', 'RT3'
INSERT #tEmployee ( EmpID, EmpName )
SELECT 1, 'Epm 1'
UNION
SELECT 2, 'Epm 2'
UNION
SELECT 3, 'Epm 3'
INSERT #tEmployeeRole ( EmpID, RoleID )
SELECT 1, 1
UNION
SELECT 1, 2
UNION
SELECT 2, 1
UNION
SELECT 2, 2
UNION
SELECT 3, 3
Desired Query
;with cte as
(
select tr.roleid,tr.rolecode,tr.roletitle,te.empname
,COUNT(ter.EmpID) OVER ( PARTITION BY ter.EmpID ) as emp_count
from #tEmployee te
inner join #tEmployeeRole tER on tER.empid=te.empid
inner join #tRole tr on tr.roleid=ter.roleid
)
select distinct RoleID,RoleCode,RoleTitle
,case when emp_count>1 then 'Multiple' else empname end as Employee
from cte

Eliminating duplicate rows except one column with condition

I am having trouble trying to find an appropriate query(SQL-SERVER) for selecting records with condition however, the table I will be using has more than 100,000 rows and more than 20 columns.
So I need a code that satisfies the following condition:
1.)If [policy] and [plan] column is unique between rows then I will select that record
2.)If [policy] and [plan] return 2 or more rows then I will select the record which 'code' column isn't 999
3.)In some cases the unwanted rows may not have '999' in [code] column but may be other specifics
In other words, I would like to get row number 1,2,4,5,7.
Here is an example of what the table looks like
row #|policy|plan|code
-----------------------
1 | a | aa |111
-----------------------
2 | b | bb |112
-----------------------
3 | b | bb |999
-----------------------
4 | c | cc |111
-----------------------
5 | c | cc |112
-----------------------
6 | c | cc |999
-----------------------
7 | d | dd |999
-----------------------
I'm expecting to see something like
row #|policy|plan|code
-----------------------
1 | a | aa |111
-----------------------
2 | b | bb |112
-----------------------
4 | c | cc |111
-----------------------
5 | c | cc |112
-----------------------
7 | d | dd |999
-----------------------
Thank you in advance
This sounds like a prioritization query. You an use row_number():
select t.*
from (select t.*,
row_number() over (partition by policy, plan
order by code
) as seqnum
from t
) t
where seqnum = 1;
The expected output makes this a bit clearer:
select t.*
from (select t.*,
rank() over (partition by policy, plan
order by (case when code = 999 then 1 else 2 end) desc
) as seqnum
from t
) t
where seqnum = 1;
The OP wants all codes that are not 999 unless the only codes are 999. So, another approach is:
select t.*
from t
where t.code <> 999
union all
select t.*
from t
where t.code = 999 and
not exists (select 1
from t t2
where t2.policy = t.policy and t2.plan = t.plan and
t2.code <> 999
);
May be you want this (eliminate the last row if more than one)?
select t.*
from (select t.*
, row_number() over (partition by policy, plan
order by code desc
) AS RN
, COUNT(*) over (partition by policy, plan) AS RC
from t
) t
where RN > 1 OR RN=RC;
Output:
row policy plan code RN RC
1 1 a aa 111 1 1
2 2 b bb 112 2 2
3 5 c cc 112 2 3
4 4 c cc 111 3 3
5 7 d dd 999 1 1
CREATE TABLE #Table2
([row] int, [policy] varchar(1), [plan] varchar(2), [code] int)
;
INSERT INTO #Table2
([row], [policy], [plan], [code])
VALUES
(1, 'a', 'aa', 111),
(2, 'b', 'bb', 112),
(3, 'b', 'bb', 999),
(4, 'c', 'cc', 111),
(5, 'c', 'cc', 112),
(6, 'c', 'cc', 999),
(7, 'd', 'dd', 999)
;
with cte
as
(
select *,
row_number() over (partition by policy, [plan]
order by code
) as seqnum
from #Table2
)
select [row], [policy], [plan], [code] from cte where seqnum=1

Order rows by values

I trying order table by rank, but rows which have position value - have to have position according to value in position field. It is possible do it without additional tables, views etc?
I have table like this:
rank | position | name
999 | 10 | txt1
200 | 4 | txt2
32 | 1 | txt3
1200 | 2 | txt4
123 | null | txt5
234 | null | txt6
567 | null | txt7
234 | null | txt8
432 | null | txt9
877 | null | txt10
Desired output have to look like this:
rank | position | name
32 | 1 | txt3
1200 | 2 | txt4
877 | null | txt10
200 | 4 | txt2
567 | null | txt7
432 | null | txt9
345 | null | txt8
234 | null | txt6
123 | null | txt5
999 | 10 | txt1
Here is an idea. Assign the proper ordering to each row. Then, if the position is available use that instead. When there are ties, put the position value first:
select t.*
from (select t.*, row_number() over (order by rank desc) as seqnum
from t
) t
order by (case when position is not null then position else seqnum end),
(case when position is not null then 1 else 2 end);
SQL Fiddle doesn't seem to be working these days, but this query demonstrates the results:
with t(rank, position, t) as (
select 999, 10, 'txt1' union all
select 200, 4, 'txt2' union all
select 32 , 1, 'txt3' union all
select 1200, 2, 'txt4' union all
select 123, null, 'txt5' union all
select 234, null, 'txt6' union all
select 567, null, 'txt7' union all
select 234, null, 'txt8' union all
select 432, null, 'txt9' union all
select 877, null , 'txt10'
)
select t.*
from (select t.*, row_number() over (order by rank desc) as seqnum
from t
) t
order by (case when position is not null then position else seqnum end),
(case when position is not null then 1 else 2 end);
EDIT;
When I wrote the above, I had a nagging suspicion of a problem. Here is a solution that should work. It is more complicated but it does produce the right numbers:
with t(rank, position, t) as (
select 999, 10, 'txt1' union all
select 200, 4, 'txt2' union all
select 32 , 1, 'txt3' union all
select 1200, 2, 'txt4' union all
select 123, null, 'txt5' union all
select 234, null, 'txt6' union all
select 567, null, 'txt7' union all
select 234, null, 'txt8' union all
select 432, null, 'txt9' union all
select 877, null , 'txt10'
)
select *
from (select t.*, g.*,
row_number() over (partition by t.position order by t.rank) gnum
from generate_series(1, 10) g(n) left join
t
on t.position = g.n
) tg left join
(select t.*,
row_number() over (partition by t.position order by t.rank) as tnum
from t
) t
on tg.gnum = t.tnum and t.position is null
order by n;
This is a weird sort of interleaving problem. The idea is to create slots (using generate series) for the positions. Then, assign the known positions to the slots. Finally, enumerate the remaining slots and assign the values there.
Note: I hard-coded 10, but it is easy enough to put in count(*) from the table there.
suppose you stored data in table1.
Then you should update column "position" as follows:
update a
set position = x.pos_null
from table1
a
inner join
(
select
a.name,
COUNT(a.rank) as pos_null
from
(
select
*
from table1
where position is null
)
a
left join
(
select
*
from table1
)
b
on a.rank <= b.rank
group by
a.name
)
x
on a.name = x.name
select * from table1 order by position
Bye,
Angelo.

SQL - Left Join many-to-many only once

I have a two tables that are setup like the following examples
tablea
ID | Name
1 | val1
1 | val2
1 | val3
2 | other1
3 | other
tableb
ID | Amount
1 | $100
2 | $50
My desired output would be to left join tableb to tablea but only join tableb once on each value. ID is the only relationship
tablea.ID | tablea.Name | tableb.id | tableb.amount
1 | val1 | 1 | $100
1 | val2
1 | val3
2 | other1 | 2 | $50
3 | other
Microsoft SQL
You can do the following:
select ROW_NUMBER() OVER(ORDER BY RowID ASC) as RowNum, ID , Name
from tablea
which gives you :
RowNum | RowID | Name
1 | 1 | val1
2 |1 | val2
3 |1 | val3
4 |2 | other1
5 |3 | other
You then get the minimum row number for each RowID:
Select RowId, min(RowNum)
From (
select ROW_NUMBER() OVER(ORDER BY RowID ASC) as RowNum, ID , Name
from tablea )
Group By RowId
Once you have this you can then join tableb onto tablea only where the RowId is the minimum
WITH cteTableA As (
select ROW_NUMBER() OVER(ORDER BY RowID ASC) as RowNum, ID , Name
from tablea ),
cteTableAMin As (
Select RowId, min(RowNum) as RowNumMin
From cteTableA
Group By RowId
)
Select a.RowID, a.Name, b.Amount
From cteTableA a
Left join cteTableAMin amin on a.RowNum = amin.RowNumMin
and a.ID = amin.RowId
Left join tableb b on amin.ID = b.ID
This can be tidied up... but helps to show whats going on.
Then you MUST specify which row in tableA you wish to join to. If there are more than one row in the other table, How can the query processor know which one you want ?
If you want the one with the lowest value of name, then you might do this:
Select * from tableB b
join tableA a
on a.id = b.Id
and a.name =
(Select min(name) from tableA
where id = b.id)
but even that won't work if there multiple rows with the same values for both id AND name. What you might really need is a Primary Key on tableA.
Use:
select
a.id,
a.name,
b.amount
from
(select
id,
name,
row_number() over (partition by id order by name) as rn
from tablea) a
left join (
select
id,
amount,
row_number() over (partition by id order by amount) as rn
from tableb) b
on a.id = b.id
and a.rn = b.rn
order by a.id, a.name

How to comapre two columns of a table in sql?

In a table there are two columns:
-----------
| A | B |
-----------
| 1 | 5 |
| 2 | 1 |
| 3 | 2 |
| 4 | 1 |
-----------
Want a table where if A=B then
-------------------
|Match | notMatch|
-------------------
| 1 | 5 |
| 2 | 3 |
| Null | 4 |
-------------------
How can i do this?
I tried something which shows the Matched part
select distinct C.A as A from Table c inner join Table d on c.A=d.B
Try this:
;WITH TempTable(A, B) AS(
SELECT 1, 5 UNION ALL
SELECT 2, 1 UNION ALL
SELECT 3, 2 UNION ALL
SELECT 4, 1
)
,CTE(Val) AS(
SELECT A FROM TempTable UNION ALL
SELECT B FROM TempTable
)
,Match AS(
SELECT
Rn = ROW_NUMBER() OVER(ORDER BY Val),
Val
FROM CTE c
GROUP BY Val
HAVING COUNT(Val) > 1
)
,NotMatch AS(
SELECT
Rn = ROW_NUMBER() OVER(ORDER BY Val),
Val
FROM CTE c
GROUP BY Val
HAVING COUNT(Val) = 1
)
SELECT
Match = m.Val,
NotMatch= n.Val
FROM Match m
FULL JOIN NotMatch n
ON n.Rn = m.Rn
Try with EXCEPT, MINUS and INTERSECT Statements.
like this:
SELECT A FROM TABLE1 INTERSECT SELECT B FROM TABLE1;
You might want this:
SELECT DISTINCT
C.A as A
FROM
Table c
LEFT OUTER JOIN
Table d
ON
c.A=d.B
WHERE
d.ID IS NULL
Please Note that I use d.ID as an example because I don't see your schema. An alternate is to explicitly state all d.columns IS NULL in WHERE clause.
Your requirement is kind of - let's call it - interesting. Here is a way to solve it using pivot. Personally I would have chosen a different table structure and another way to select data:
Test data:
DECLARE #t table(A TINYINT, B TINYINT)
INSERT #t values
(1,5),(2,1),
(3,2),(4,1)
Query:
;WITH B AS
(
( SELECT A FROM #t
EXCEPT
SELECT B FROM #t)
UNION ALL
( SELECT B FROM #t
EXCEPT
SELECT A FROM #t)
), A AS
(
SELECT A val
FROM #t
INTERSECT
SELECT B
FROM #t
), combine as
(
SELECT val, 'A' col, row_number() over (order by (select 1)) rn FROM A
UNION ALL
SELECT A, 'B' col, row_number() over (order by (select 1)) rn
FROM B
)
SELECT [A], [B]
FROM combine
PIVOT (MAX(val) FOR [col] IN ([A], [B])) AS pvt
Result:
A B
1 3
2 4
NULL 5