I have two different queries that have produced the correct result, but I would like to have them produce the answer out in one table. How do I do that?
Here is my code:
SELECT count(distinct ID) as NoOfEmployees
FROM Table_Name
WHERE date<= '2012-05-31';
select count(subA.ID) as EmployeesChanged from (
SELECT A.ID
FROM Table_Name A
WHERE A.date < '2012-06-01'
GROUP BY 1
HAVING COUNT(A.Service_type) > 1 ) subA
Currently I have the following output:
Number of Employees
x
Employees Changed
x
How do I make it
Number of Employees | Employees Changed | (Number of employees - number changed)
x | x | x
I don't know what database do you use. But for some databases you can try:
select q1.Value, q2.Value, q1.Value - q2.Value from
(SELECT count(distinct ID) as Value FROM Table_Name
WHERE date<= '2012-05-31') q1,
(select count(subA.ID) as Value from
( SELECT A.ID FROM Table_Name A
WHERE A.date < '2012-06-01' GROUP BY 1
HAVING COUNT(A.Service_type) > 1 ) subA) q2
If date<= '2012-05-31' is the same as A.date < '2012-06-01' ?
SELECT COUNT(1) AS NoOfEmployees,
SUM(CASE WHEN STCount > 0 then 1 else 0 end) as HasChange,
SUM(CASE WHEN STCount = 0 then 1 else 0 end) as NoChange
FROM
(SELECT ID,
COUNT(A.Service_type) STCount
FROM Table_Name
WHERE date<= '2012-05-31'
GROUP BY ID) AS Data
You can use CROSS JOIN:
SELECT a.*, b.*, a.NoOfEmployees - b.EmployeesChanged
FROM
(
SELECT count(distinct ID) as NoOfEmployees
FROM Table_Name
WHERE date<= '2012-05-31'
) a
CROSS JOIN
(
SELECT count(subA.ID) as EmployeesChanged
FROM
(
SELECT A.ID
FROM Table_Name A
WHERE A.date < '2012-06-01'
GROUP BY 1
HAVING COUNT(A.Service_type) > 1
) subA
) b
Edit:
You might be able to greatly optimize your query by using conditional aggregation instead of executing two separate queries:
SELECT a.NoOfEmployees, a.EmployeesChanged, a.NoOfEmployees - a.EmployeesChanged
FROM
(
SELECT
COUNT(DISTINCT CASE WHEN date <= '2012-05-31' THEN ID END) as NoOfEmployees,
COUNT(DISTINCT CASE WHEN date < '2012-06-01' AND COUNT(Service_type) > 1 THEN ID END) AS EmployeesChanged
FROM Table_Name
GROUP BY ID
) a
Related
Those who have helped me before, i tend to use SAS9.4 a lot for my day to day work, however there are times when i need to use SQL Server
There is a output table i have with 2 variables (attached output.csv)
output table
ID, GROUP, DATE
The table has 830 rows:
330 have a "C" group
150 have a "A" group
50 have a "B" group
the remaining 300 have group as "TEMP"
within SQL i do not now how to programatically work out the total volume of A+B+C. The aim is to update "TEMP" column to ensure there is an Equal amount of "A" and "B" totalling 250 of each (the remainder of the total count)
so the table totals
330 have a "C" group
250 have a "A" group
250 have a "B" group
You want to proportion the "temp" to get equal amounts of "A" and "B".
So, the idea is to count up everything in A, B, and Temp and divide by 2. That is the final group size. Then you can use arithmetic to allocate the rows in Temp to the two groups:
select t.*,
(case when seqnum + a_cnt <= final_group_size then 'A' else 'B' end) as allocated_group
from (select t.*, row_number() over (order by newid()) as seqnum
from t
where group = 'Temp'
) t cross join
(select (cnt_a + cnt_b + cnt_temp) / 2 as final_group_size,
g.*
from (select sum(case when group = 'A' then 1 else 0 end) as cnt_a,
sum(case when group = 'B' then 1 else 0 end) as cnt_b,
sum(case when group = 'Temp' then 1 else 0 end) as cnt_temp
from t
) g
) g
SQL Server makes it easy to put this into an update:
with toupdate as (
select t.*,
(case when seqnum + a_cnt <= final_group_size then 'A' else 'B' end) as allocated_group
from (select t.*, row_number() over (order by newid()) as seqnum
from t
where group = 'Temp'
) t cross join
(select (cnt_a + cnt_b + cnt_temp) / 2 as final_group_size,
g.*
from (select sum(case when group = 'A' then 1 else 0 end) as cnt_a,
sum(case when group = 'B' then 1 else 0 end) as cnt_b,
sum(case when group = 'Temp' then 1 else 0 end) as cnt_temp
from t
) g
) g
)
update toupdate
set group = allocated_group;
I'd go with a top 250 update style approach
update top (250) [TableName] set Group = 'A' where exists (Select * from [TableName] t2 where t2.id = [TableName].id order by newid()) and Group = 'Temp'
update top (250) [TableName] set Group = 'B' where exists (Select * from [TableName] t2 where t2.id = [TableName].id order by newid()) and Group = 'Temp'
i found duplicate records in my database from a year ago. i'm trying to clean them up i found all ID's i need to remove using:
select id
from impWthrDta as a
right join (
SELECT dte, rltn
FROM impWthrDta
GROUP BY dte, rltn
HAVING count(*) > 1
) as b
on a.dte = b.dte
and a.rltn = b.rltn
where id >= '0'
order by a.rltn, a.dte
why can i not simply replace
select *
with
delete
You can. Just add the DELETE statement and use your query as a filter for the IDs:
DELETE FROM WhateverTable
WHERE ID IN
(select id
from impWthrDta as a
right join (
SELECT dte, rltn
FROM impWthrDta
GROUP BY dte, rltn
HAVING count(*) > 1
) as b
on a.dte = b.dte
and a.rltn = b.rltn
where id >= '0')
I have a sql table for student records and I have some duplicate rows for the student dimension cause of the major, so now I have something like this:
ID Major
----------
1 CS
1 Mgt
What I want is to combine this two rows in this form:
ID Major Major2
----------
1 CS Mgt
You need a number for pivoting. Then you can pivot using either pivot or conditional aggregation:
select id,
max(case when seqnum = 1 then major end) as major_1,
max(case when seqnum = 2 then major end) as major_2
from (select t.*,
row_number() over (partition by id order by (select null)) as seqnum
from t
) t
group by id;
Note: you should validate that "2" is large enough to count the majors. You can get the maximum using:
select top 1 id, count(*)
from t
group by id
order by count(*) desc;
If you have at most two different values of major:
select a.id as id,
a.major as major,
b.major as major2
from YOUR_TABLE a
left join YOUR_TABLE b on
a.id = b.id
and (b.major is null or a.major > b.major)
This will help you
Select
ID,
(select top 1 Major from <Your_Table> where id=T.Id order by Major) Major,
(case when count(Id)>1 then (select top 1 Major from #temp where id=T.Id order by Major desc) else null end) Major2
from <Your_Table> T
Group By
ID
You can use pivot function directly
SELECT [ID],[CS] AS Major , [Mgt] AS Major2 from Your_Table_Name
PIVOT
(max(Major)for [Major] IN ([CS] , [Mgt]))as p
I wrote this query but it does not work as I expected.
1st Goal: select rows that have repeated in certain columns and return whole columns.
2nd Goal: Update a flag (a column) to identify which records have repeated.
Could you please help me?
SELECT
*
FROM AvvalV2NS AS M
WHERE EXISTS
(SELECT
M.Astate,
M.Acity,
M.Azone,
M.Abvillage,
M.Avillage,
COUNT(*)
FROM AvvalV2NS AS M
GROUP BY M.Astate,
M.Acity,
M.Azone,
M.Abvillage,
M.Avillage
HAVING COUNT(*) > 1)
If you want to get the rows that are duplicated, window functions are probably the easiest way:
select a.*
from (select a.*,
count(*) over (partition by M.Astate, M.Acity, M.Azone, M.Abvillage, M.Avillage) as cnt
from AvvalV2NS a
) a
where cnt > 1;
You can update a flag by doing something like this:
with toupdate as (
select a.*
from (select a.*,
count(*) over (partition by M.Astate, M.Acity, M.Azone, M.Abvillage, M.Avillage) as cnt
from AvvalV2NS a
) a
)
update toupdate
set isduplicate = (case when cnt > 1 then 1 else 0 end);
Suppose your table have an id column:
SELECT * FROM THE_TABLE WHERE ID IN (
SELECT ID FROM
(SELECT ID, REPEATING_COLUMNS, COUNT(*) FROM THE_TABLE GROUP BY REPEATING_COLUMNS HAVING COUNT(*) > 1)
)
UPDATE THE_TABLE SET THE_FLAG = "HERE WE GO" WHERE ID IN (
SELECT ID FROM
(SELECT ID, REPEATING_COLUMNS, COUNT(*) FROM THE_TABLE GROUP BY REPEATING_COLUMNS HAVING COUNT(*) > 1)
)
Hope this helps.
How can I query only the records that show up twice in my table?
Currently my table looks something like this:
Number Date RecordT ReadLoc
123 08/13/13 1:00pm N Gone
123 08/13/13 2:00pm P Home
123 08/13/13 3:00pm N Away
123 08/13/13 4:00pm N Away
I need a query that will select the records that have the same 'Value' in the RecordT field and the same 'Value' in the ReadLoc field.
So my result for the above would show with the query:
Number Date RecordT ReadLoc
123 08/13/13 3:00pm N Away
123 08/13/13 4:00pm N Away
I was trying to do a subselect like this:
SELECT t.Number, t.Date, n.RecordT, n.ReadLoc
FROM Table1 t join Table2 n ON t.Number = n.Number
WHERE t.Number IN (SELECT t.Number FROM Table1 GROUP BY t.Number HAVING COUNT(t.Number) > 1 )
AND n.ReadLoc IN (SELECT n.ReadLoc FROM Table2 GROUP n.ReadLoc HAVING COUNT(n.ReadLoc) > 1 )
SELECT a.*
FROM Table1 a
JOIN (SELECT RecordT, ReadLoc
FROM Table1
GROUP BY RecordT, ReadLoc
HAVING COUNT(*) > 1
)b
ON a.RecordT = b.RecordT
AND a.ReadLoc = b.ReadLoc
SQL Fiddle
Shouldn't this work:
select *
from table1
where (RecordT, ReadLoc) in
(select RecordT, ReadLoc
from table1
group by RecordT, ReadLoc
having count(*) > 1)
The following can be taken as a base:
;with cte as (
select *, cnt = count(1) over (partition by RecordT, ReadLoc)
from TableName
)
select *
from cte
where cnt > 1
If your TableName is actually a view of two joined tables, try:
;with TableName as (
SELECT t.Number, t.Date, n.RecordT, n.ReadLoc
FROM Table1 t
join Table2 n ON t.Number = n.Number
),
cte as (
select Number, Date, RecordT, ReadLoc,
cnt = count(1) over (partition by RecordT, ReadLoc)
from TableName
)
select Number, Date, RecordT, ReadLoc
from cte
where cnt > 1 /* and RecordT='N' and ReadLoc='AWAY' */