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Here is my query:
select fldUserId, count(*) AS TOTAL
from tblWorkHistory
where fldStatus = '1'
group by fldUserId
union
select fldEmpID, count(*) AS TOTAL
from tblQAHistory
where fldStatus = '1'
group by fldEmpID
Output:
fldUserId TOTAL
16070004 34
19100015 1
19100015 7
191014571 3
I want to combine both rows with '19100015' into one row.
Use your query as a sub-query:
with cte as (
select fldUserId, count(*) as TOTAL
from tblWorkHistory
where fldStatus = '1'
group by fldUserId
union
select fldEmpID, count(*)
from tblQAHistory
where fldStatus = '1'
group by fldEmpID
)
select fldUserId, sum(TOTAL) as TOTAL
from cte
group by fldUserId
An alternative is to group just once on the outside
select
t.fldUserId,
count(*) as TOTAL
from (
select fldUserId
from tblWorkHistory
where fldStatus = '1'
union all
select fldEmpID
from tblQAHistory
where fldStatus = '1'
) t
group by
t.fldUserId;
How would I turn this query into a single row with different column names.
Select count(distinct accountid) as x
from table1
where active = 1
and expiredate >= GetDate()
and acceptedon is not null
union
Select count(distinct accountid) as x
from table1
where active = 1
and expiredate <= GetDate()
and acceptedon is not null
I get
x
5
4
I would like
x y
5 4
You want simple conditional aggregation :
Select count(distinct case when expiredate >= GetDate() then accountid end) as x,
count(distinct case when expiredate <= GetDate() then accountid end) as y
from table1
where active = 1 and acceptedon is not null;
This is the table "tbltask",
task Ship_Operator Pick_Operator Pack_Operator
1 john kevin steve
2 kevin kevin john
3 steve john john
4 steve steve steve
5 john steve john
Now I need to get the total amount for everyone: ship, pick, pack
name ship Total pick Total pack Total
john 2 1 3
kevin 1 2 0
steve 2 2 2
I can use three statement to get the result:
select [Ship_Operator] ,count(*) as task_total from tbltask
where [Ship_Operator] in ('john','kevin','steve')
group by [Ship_Operator]
select [Pick_Operator] ,count(*) as task_total from tbltask
where [Pick_Operator] in ('john','kevin','steve')
group by [Pick_Operator]
select [Pack_Operator] ,count(*) as task_total from tbltask
where [Pack_Operator] in ('john','kevin','steve')
group by [Pack_Operator]
Is it possible to use one SQL statement?
Your help will be appreciated!
unpivot and pivot back:
with t(task,Ship_Operator,Pick_Operator,Pack_Operator) as (
select '1','john','kevin','steve' union all
select '2','kevin','kevin','john' union all
select '3','steve','john','john' union all
select '4','steve','steve','steve' union all
select '5','john','steve','john')
-------Test data set up ends here------------
select
name, Ship_Operator ship_total, Pick_Operator pick_total, Pack_Operator pack_total
from t unpivot (
name for operation in (Ship_Operator, Pick_operator, Pack_Operator)
) as x pivot (
count(task) for operation in ([Ship_Operator],[Pick_Operator],[Pack_Operator])
) as x;
Produces:
Another way is to use UNPIVOT only and then conditionally aggregate:
with t(task,Ship_Operator,Pick_Operator,Pack_Operator) as (
select '1','john','kevin','steve' union all
select '2','kevin','kevin','john' union all
select '3','steve','john','john' union all
select '4','steve','steve','steve' union all
select '5','john','steve','john')
-------Test data set up ends here------------
select
name,
count(case when operation = 'Ship_Operator' then 1 end) ship,
count(case when operation = 'Pick_Operator' then 1 end) pick,
count(case when operation = 'Pack_Operator' then 1 end) pack
from t unpivot (
name for operation in (Ship_Operator, Pick_operator, Pack_Operator)
) as x
group by name;
Produces:
Use UNION to combine all name and add a new column to just identify the different values.
Query
SELECT t.[Name],
SUM(CASE t.[Col1] WHEN 'Ship' THEN 1 ELSE 0 END) AS [Ship Total],
SUM(CASE t.[Col1] WHEN 'Pick' THEN 1 ELSE 0 END) AS [Pick Total],
SUM(CASE t.[Col1] WHEN 'Pack' THEN 1 ELSE 0 END) AS [Pack Total]
FROM(
SELECT 'Ship' AS [col1], [Ship_operator] as [Name]
FROM [tbltask]
UNION ALL
SELECT 'Pick', [Pick_operator]
FROM [tbltask]
UNION ALL
SELECT 'Pack' AS [col1], [Pack_operator]
FROM [tbltask]
)t
GROUP BY t.[Name];
And if you want the result particularly for those three names. Then add a WHERE condition in the sub-queries.
I have the following table:
What I want is to get to this:
EventTypeId 1 and 3 are valid start events and EventTypeId of 2 is the only valid end event.
I have tried to do a pivot, but I don't believe a pivot will get me the multiple events for a person in the result set.
SELECT PersonId, [1],[3],[2]
FROM
(
SELECT PersonId, EventTypeId, EventDate
from #PersonEvent
) as SourceTable
PIVOT
(
count(EventDate) FOR EventTypeId
IN ([1],[3],[2])
) as PivotTable
Select PersonID,
Min(Case WHEN EventTypeId IN (1,3) THEN EventDate END) as StartDate,
Min(Case WHEN EventTypeId IN (2) THEN EventDate END) as EndDate
FROM #PersonEvent
group by personid
I can do a cursor, but my original table is over 90,000 rows, and this is to be for a report, so I don't think I can use that option. Any other thoughts that I might be missing?
Assuming the table is called [dbo].[PersonEventRecords] this will work...
With StartEvents As
(
Select *
From [dbo].[PersonEventRecords]
Where EventTypeId In (1,3)
), EndEvents As
(
Select *
From [dbo].[PersonEventRecords]
Where EventTypeId In (2)
)
Select IsNull(se.PersonId,ee.PersonId) As PersonId,
se.EventTypeId As StartEventTypeId,
se.EventDate As StartEventDate,
ee.EventTypeId As EndEventTypeId,
ee.EventDate As EndEventDate
From StartEvents se
Full Outer Join EndEvents ee
On se.PersonId = ee.PersonId
And se.EventSequence = ee.EventSequence - 1
Order By IsNull(se.PersonId,ee.PersonId),
IsNull(se.EventDate,ee.EventDate);
/**** TEST DATA ****/
If Object_ID('[dbo].[PersonEventRecords]') Is Not Null
Drop Table [dbo].[PersonEventRecords];
Create Table [dbo].[PersonEventRecords]
(
PersonId Int,
EventTypeId Int,
EventDate Date,
EventSequence Int
);
Insert [dbo].[PersonEventRecords]
Select 1,1,'2012-10-13',1
Union All
Select 1,2,'2012-10-20',2
Union All
Select 1,1,'2012-11-01',3
Union All
Select 1,2,'2012-11-13',4
Union All
Select 2,1,'2012-05-07',1
Union All
Select 2,2,'2012-06-01',2
Union All
Select 2,3,'2012-07-01',3
Union All
Select 2,2,'2012-08-30',4
Union All
Select 3,2,'2012-04-05',1
Union All
Select 3,1,'2012-05-04',2
Union All
Select 3,2,'2012-05-24',3
Union All
Select 4,1,'2013-01-03',1
Union All
Select 4,1,'2013-02-20',2
Union All
Select 4,2,'2013-03-20',3;
Try this
SELECT E1.PersonId, E1.EventTypeId, E1.EventDate, E2.EventTypeId, E2.EventDate
FROM PersonEvent AS E1
OUTER APPLY(
SELECT TOP 1 PersonEvent.EventTypeId, PersonEvent.EventDate
FROM PersonEvent
WHERE PersonEvent.PersonId = E1.PersonId
AND PersonEvent.EventSequence = E1.EventSequence + 1
AND PersonEvent.EventTypeId = 2
) AS E2
WHERE E1.EventTypeId = 1 OR E1.EventTypeId = 3
UNION
SELECT E3.PersonId, NULL, NULL, E3.EventTypeId, E3.EventDate
FROM PersonEvent E3
WHERE E3.EventTypeId = 2
AND NOT EXISTS(
SELECT *
FROM PersonEvent
WHERE PersonEvent.PersonId = E3.PersonId
AND PersonEvent.EventSequence = E3.EventSequence - 1)
It is not completely clear how do you want the result to be ordered – add order as needed.
I have a following table:
State LAB GROUP DATE CODE ID
UP A I 1-Jan 1 345
UP R S 1-Feb 1 456
UP A S 1-Jan 2 567
DL R S 1-Feb 3 678
DL T S 1-Jan 1 789
DL A S 1-Jan 2 900
MN T S 1-Jan 3 1011
MN R I 1-Feb 1 1122
MN S I 1-Feb 2 1233
I need a pivot table of following type:
STATE A R T TOTAL
UP 2 1 0 3
DL 1 1 1 3
MN 0 1 1 2
DISTINCT COUNT OF ID FOR EACH LAB FOR EACH STATE.
I then need the pivot tables filtered for following columns:
GROUP
DATE
CODE
So 1st table will have the pivot table above counting only those records which have GROUP=S
2nd table will have the pivot table above counting only those records which have CODE=1
and so on, I wish to put multiple conditions. and generate several tables one by one and export them.
If this is possible in SQL please let me know! I ruled out excel vba due to the size of table (source table will have 800,000 records approx).
Try this :-
Select [State],[A],[R],[T],Total = [A] + [R]+ [T]
from
(
Select [State],
[A] = Sum(Case when LAB='A' then 1 else 0 END) ,
[R] = Sum(Case when LAB='R' then 1 else 0 END) ,
[T] = Sum(Case when LAB='T' then 1 else 0 END)
from YourTable
group by [State]
)a
SQL FIDDLE
CREATE TABLE #t(States VARCHAR(10),LAB VARCHAR(5),GROUPs VARCHAR(5),DATEs VARCHAR(10),CODE INT,ID INT)
INSERT INTO #t values('UP','A','I','1-Jan',1,345)
INSERT INTO #t values('UP','R','S','1-Feb',1,456)
INSERT INTO #t values('UP','A','S','1-Jan',2,567)
INSERT INTO #t values('DL','R','S','1-Feb',3,678)
INSERT INTO #t values('DL','T','S','1-Jan',1,789)
INSERT INTO #t values('DL','A','S','1-Jan',2,900)
INSERT INTO #t values('MN','T','S','1-Jan',3,1011)
INSERT INTO #t values('MN','R','I','1-Feb',1,1122)
INSERT INTO #t values('MN','S','I','1-Feb',2,1233)
SELECT States,ISNULL(A,0) A,ISNULL(R,0) R,ISNULL(T,0) T,ISNULL(A,0)+ISNULL(R,0)+ISNULL(T,0) total
FROM
(
SELECT States,LAB,Count(ID) AS cnt FROM #t GROUP BY States,LAB /*apply GROUP DATE CODE condition here*/
) AS PVT
PIVOT(MAX(cnt) FOR LAB IN (A,R,T)) pvt
Another solution using PIVOT :
WITH PivotInUse AS (
SELECT state,lab,COUNT(*) AS cnt
FROM YourTable
GROUP BY state,lab
)
SELECT STATE
,COALESCE([A], 0) AS A
,COALESCE([R], 0) AS R
,COALESCE([T], 0) AS T
,COALESCE([A], 0) + COALESCE([R], 0) + COALESCE([T], 0) AS TOTAL
FROM PivotInUse
PIVOT(SUM(cnt) FOR lab IN ([A],[R],[T])) AS p;
Your sample table
SELECT * INTO #TEMP FROM
(
SELECT 'UP' [State],'A' LAB,'I' [GROUP],'1-Jan' [DATE],1 CODE,345 ID
UNION ALL
SELECT 'UP','R','S','1-Feb',1,456
UNION ALL
SELECT 'UP','A','S','1-Jan',2,567
UNION ALL
SELECT 'DL','R','S','1-Feb',3,678
UNION ALL
SELECT 'DL','T','S','1-Jan',1,789
UNION ALL
SELECT 'DL','A','S','1-Jan',2,900
UNION ALL
SELECT 'MN','T','S','1-Jan',3,1011
UNION ALL
SELECT 'MN','R','I','1-Feb',1,1122
UNION ALL
SELECT 'MN','S','I','1-Feb',2,1233
)TAB
Now you need to get the distinct count of each state and get the sum as the result to show Total
in pivoted result.
SELECT DISTINCT [State],LAB,SUM(CNT) CNT
INTO #NEWTABLE
FROM
(
SELECT DISTINCT
[State],LAB,
CASE WHEN [State] IS NULL THEN NULL ELSE COUNT([State]) OVER(PARTITION BY [State],LAB) END CNT
FROM #TEMP
)TAB
GROUP BY [State],LAB
WITH ROLLUP
Now we need to get the distinct columns for pivot(#cols) and columns to identify and replace null with zero in pivot(#NullToZeroCols)
DECLARE #cols NVARCHAR (MAX)
DECLARE #NullToZeroCols NVARCHAR (MAX)
SET #cols = SUBSTRING((SELECT DISTINCT ',['+LAB+']' FROM #NEWTABLE GROUP BY LAB FOR XML PATH('')),2,8000)
SET #NullToZeroCols = SUBSTRING((SELECT DISTINCT ',ISNULL(['+LAB+'],0) AS ['+LAB+']'
FROM #NEWTABLE GROUP BY LAB FOR XML PATH('')),2,8000)
Join the pivotted query with the #NEWTABLE to get the Total for each State
DECLARE #query NVARCHAR(MAX)
SET #query = 'SELECT P.State,' + #NullToZeroCols + ',T2.CNT TOTAL FROM
(
SELECT DISTINCT [State],LAB,CNT FROM #NEWTABLE
) x
PIVOT
(
SUM(CNT)
FOR [LAB] IN (' + #cols + ')
) p
JOIN #NEWTABLE T2 ON P.[STATE]=T2.[STATE]
WHERE P.State IS NOT NULL AND T2.LAB IS NULL AND T2.[STATE] IS NOT NULL;'
EXEC SP_EXECUTESQL #query
Here is your result
Here is the SQLFiddle http://sqlfiddle.com/#!3/c2588/1 (If it shows any error while loading the page, just click RUNSQL, it will work)
Now if you want to get the result as you said DISTINCT COUNT OF ID FOR EACH LAB FOR EACH STATE, just change
OVER(PARTITION BY [State],LAB)
to
OVER(PARTITION BY [State],LAB,Id)
which will show the following result after executing the pivot query