I have a basic query that looks like this.
SELECT Database_Name,
FilingDate,
SUM(ISNULL([column1], 0) + ISNULL(column2], 0) +
ISNULL([column3], 0) + ISNULL([column4], 0)) AS Total
FROM SomeTable(NOLOCK)
GROUP BY Database_Name,
FilingDate
ORDER BY Database_Name,
FilingDate DESC
This query outputs results that look like this.
I would like to take the dates returned in the FilingDate column and use them as new column headers with the totals for each database and date being used as the row content. The end result should look like this:
My research suggests that a pivot is the best option but I'm struggling to find the right way to execute it as my dates change each day Any assistance would be appreciated.
If this is MS SQL, you can use a dynamic pivot table. Here is a solution using your query (should work, but I don't have the base data to test it).
SELECT Database_Name,
FilingDate,
SUM( ISNULL(column1 ,0) +
ISNULL(column2],0) +
ISNULL([column3],0) +
ISNULL([column4],0)
) AS Total
INTO #T1
FROM SomeTable(NOLOCK)
GROUP BY Database_Name,
FilingDate
DECLARE #PivotColumnHeaders varchar(MAX)
SELECT #PivotColumnHeaders =
COALESCE(
#PivotColumnHeaders + ',[' + CAST(UC.FilingDate AS NVARCHAR(10)) + ']',
'[' + CAST(UC.FilingDate AS NVARCHAR(10)) + ']'
)
FROM (SELECT FilingDate FROM #T1 GROUP BY FilingDate) UC
DECLARE #PQuery varchar(MAX) = '
SELECT * FROM (SELECT Database_Name, FilingDate, Total FROM #T1 T0) T1
PIVOT (SUM([Total]) FOR FilingDate IN (' + #PivotColumnHeaders + ') ) AS P'
EXECUTE (#PQuery)
DROP TABLE #T1
I have a table, with an ID, FirstName & Lastname.
I'm selecting that using the following query:
SELECT USER_ID as [ID], First_P + ' ' + Last_P as FullName FROM Persons
It's working fine. I'm basically having a list of ID's and full names.
Full names could be the same. How is it possible for me to find them and add the ID on the Full name cell as well? only when the names are the same.
Example:
1 John Wick (1)
50 John Wick (50)
I haven't found any similar questions to be honest, at least not for MSSQL. So If there are any, feel free to link me.
please take a look my answer. I used nested query to identify number of duplicated names
SELECT
ID,
IIF(NUMBEROFDUPS =1, NAME, CONCAT(NAME, ' (', ID, ')')) AS NAME
FROM
(
SELECT
ID,
CONCAT(First_P, ' ', Last_P) AS NAME,
COUNT(*) OVER (PARTITION BY First_P,Last_P) AS NUMBEROFDUPS
FROM
Table1
) tmp;
You can use outer apply to group the items via First_P + ' ' + Last_P
and then add case for multiple items.
The select stuff should look like:
SELECT USER_ID as [ID], p1.First_P + ' ' + p1.Last_P + case when cnt.FullName is not null
then '(' + p2.[sum] + ')' else '' end as FullName FROM Persons p1
outer apply (select First_P + ' ' + Last_P as FullName,count(1) as [sum]
from Persons p2
where p2.First_P + ' ' + p2.Last_P = p1.First_P + ' ' + p1.Last_P
group by First_P + ' ' + Last_P
having count(1) > 1) cnt
I have below query written for my attendance report. everything works fine except one thing. i have multiple checkin/checkout allowed in a day in my application now when i run my query it returns checkin, checkout, total, checkin checkout total. the result i expect is something like: checkin, checkout, checkin, checkout.... total.
Below is the query:
SELECT EmployeeID, Employee, [2016-09-01],[2016-09-02],[2016-09-05],[2016-09-06],[2016-09-07],[2016-09-08],[2016-09-09] from
(
SELECT src.EmployeeID, isnull(b.EmployeeName,'') +' '+ isnull(b.LastName,'') Employee
,[CheckinDate]
, ISNULL(CAST(c.LeaveDesc as VARCHAR(max)), STUFF((
SELECT ', ' + CAST(ISNULL(CheckinTime,'') AS VARCHAR(5)) + char(10) + CAST(ISNULL(CheckoutTime,'') AS VARCHAR(5)) +
char(10) + CAST(ISNULL(TotalHours,'') AS VARCHAR(5))
FROM EmployeeDetail
WHERE (EmployeeID = src.EmployeeID and CheckinDate = src.CheckinDate)
FOR XML PATH(''),TYPE).value('(./text())[1]','VARCHAR(MAX)')
,1,2,'')) AS Result
FROM [EmployeeDetail] as src inner join EmployeeMaster b on src.EmployeeID = b.EmployeeID and src.KindergardenID = b.KindergardenID
left outer join leavetype c on src.leaveid = c.leaveid
WHERE src.KindergardenID = 1
GROUP BY src.EmployeeID, isnull(b.EmployeeName,'') +' '+ isnull(b.LastName,''), CheckinDate,LeaveDesc
) x
pivot
(
max(Result)
for CheckinDate in ([2016-09-01],[2016-09-02],[2016-09-05],[2016-09-06],[2016-09-07],[2016-09-08],[2016-09-09])
) p
Any help in changing the query to make it work as expected is appreciated.
Let me know if i was confusing in asking.
SELECT EmployeeID, Employee, ' + #cols + ' from
(
SELECT src.EmployeeID, isnull(b.EmployeeName,'''') +'' ''+ isnull(b.LastName,'''') Employee
,[CheckinDate]
, ISNULL(CAST(c.LeaveDesc as VARCHAR(max)), isnull(left(convert(time,DATEADD(minute,(SUM(DATEDIFF(MINUTE, ''0:00:00'', TotalHours))),0)),5),''N/A'') + char(10) + STUFF((
SELECT '', '' + CAST(ISNULL(CheckinTime,'''') AS VARCHAR(5)) + ''-'' + CAST(ISNULL(CheckoutTime,'''') AS VARCHAR(5)) +
char(10)
FROM EmployeeDetail
WHERE (EmployeeID = src.EmployeeID and CheckinDate = src.CheckinDate)
FOR XML PATH(''''),TYPE).value(''(./text())[1]'',''VARCHAR(MAX)'')
,1,2,'''')) AS Result
FROM [EmployeeDetail] as src inner join EmployeeMaster b on src.EmployeeID = b.EmployeeID and src.KindergardenID = b.KindergardenID
left outer join leavetype c on src.leaveid = c.leaveid
WHERE src.KindergardenID = ' + CAST(#kindergardenid as varchar(max)) + '
GROUP BY src.EmployeeID, isnull(b.EmployeeName,'''') +'' ''+ isnull(b.LastName,''''), CheckinDate,LeaveDesc
) x
pivot
(
max(Result)
for CheckinDate in (' + #cols + ')
) p
I am create a stored procedure in SQL and I get the following error when I execute the query:
Conversion failed when converting the nvarchar value '11021,78542,12456,24521' to data type int.
Any idea why?
SELECT
A.Art_ID, A.Title
FROM
Art A
INNER JOIN
Iss I ON A.Iss_ID = I.Iss_ID
INNER JOIN
Sections S ON A.Section_ID = S.Section_ID
INNER JOIN
iPadSec IPS ON A.Sec_ID = IPS.Sec_ID
WHERE
A.Art_ID IN (SELECT CAST(Art_IDs AS int) /***error happens here***/
FROM Book_Art b
WHERE Sub_ID = 68)
AND I.Iss > dateadd(month, -13, getdate())
AND A.Active = 1
AND IPS.Active = 1
AND A.PDate <= getdate()
ORDER BY
PDate DESC, Art_ID DESC;
You cannot do what you want using in. First, it is a really bad idea to store ids in lists in strings. You should be using a junction table.
That said, sometimes this is necessary. You can rewrite this line of code as:
EXISTS (SELECT 1 /***error happens here***/
FROM Book_Art b
WHERE Sub_ID = 68 AND
',' + Art_IDs + ',' LIKE '%,' + cast(A.Art_ID as varchar(255)) + ',%'
)
However, the performance would generally be on the lousy side and there is little prospect of speeding this up without fixing the data structure. Use a junction table instead of a string to store lists.
Adding this line works for me.
declare #ids varchar(1000)
select #ids = art_ids from book_art where sub_id = #Sub_ID
EXECUTE ( 'SELECT A.Art_ID, A.Title'
+ ' FROM Art A'
+ ' INNER JOIN Iss I ON A.Iss_ID = I.Iss_ID'
+ ' INNER JOIN Sections S ON A.Section_ID = S.Section_ID'
+ ' INNER JOIN iPadSec IPS ON A.Sec_ID = IPS.Sec_ID'
+ ' WHERE A.Art_ID IN (' + #ids + ')'
+ ' AND I.Iss > dateadd(month, -13, getdate())'
+ ' AND A.Active = 1'
+ ' AND IPS.Active = 1'
+ ' AND A.PDate <= getdate()'
+ ' ORDER BY PDate DESC,'
+ ' Art_ID DESC;'
)
END
Thank you all for your help :)
I'm struggling to even explain what I need to do so please be patient with me.
I have the following table and rows in it:
TBNAME: Distances
Track, Person, Date, Distance
TRACK1, P1, 1/1/2014, 15
TRACK2, P1, 13/1/2014, 12
TRACK1, P1, 20/2/2014, 10
TRACK2, P1, 15/1/2014, 9
TRACK1, P2, 2/1/2014, 11
TRACK2, P2, 14/1/2014, 13
TRACK1, P2, 21/2/2014, 8
TRACK2, P2, 16/1/2014, 6
What I would, ideally, like to see as a result is something like this:
P1, TRACK1, 20/2/2014, 10, TRACK2, 15/1/2014, 9
P2, TRACK1, 21/2/2014, 8, TRACK2, 16/1/2014, 6
Or, in other words, for each person, the most recent date and distance for that date for each track in one row.
Hope someone can understand this and offer a solution too :)
Cheers,
Pierre
Try this:
SELECT T1.Person, T1.Track, MAX(T1.Date), MIN(T1.Distance),
T2.Track, MAX(T2.Date), MIN(T2.Distance)
FROM Distances AS T1 INNER JOIN
Distances AS T2 ON T1.Person = T2.Person
WHERE T1.Track <> T2.Track AND T1.Track = 'Track1'
GROUP BY T1.Track, T1.Person, T2.Track
The output result of the query is showing exactly the same of your expected result.
Try combining the table by itself and connecting them with the common column.
In your case you want Person.
Select t1.Person,
t1.Tract,
t1.Date,
t1.Distance,
t2.Tract,
t2.date,
t2.Distance
From table_name t1, table_name t2
WHERE t1.Person = t2.Person;
Try this:
SELECT DISTINCT ON ("Person", "Track") *
FROM "Table"
ORDER BY "Person", "Date" DESC NULLS LAST;
Here is a query to get the records needed. First get the maximum date per track and person. Then join with the table to get the complete record.
If you know beforehand which tracks you will get, you can use a pivot query for this. As I've never done this, I ask you to look this up yourself. However, as mentioned in my comment to your request, I would use a programming language (C#, Java, PHP or whatever) to care about that.
select d.track, d.person, d.date, d.distance
from
(
select track, person, max(distances.date) as `date`
from distances
group by track, person
) lastd
inner join distances d on d.track = lastd.track and d.person = lastd.person and d.date = lastd.date
order by d.track, d.person;
BTW: date is a reserved keyword. I would not recommend to use it for a column name. Whenever you use it without a qualifier you will have to use those strange quotes.
Look for ROW_NUMBER() and OVER PARITION BY.
Idea is something like (I did not try to run this query):
;WITH
data AS
(
SELECT
*,
-- returns number for each pair of person and track starting from most recent date
--Code enhanced at here
row_number() over (partition BY person, track order by dte DESC) nr
FROM distances
)
SELECT
*
FROM
data
WHERE
nr = 1 -- we want just the most recent one
ORDER BY
person, -- "group by" person
track ;
It's still doesn't support showing one row for each person...
I don't think you can do it with SQL (because of unknown number of tracks).
There is PIVOT/UNPIVOT, but I don't think it fits here.
WITH CTE AS
(
Select P1.Track,P1.Person,ROW_NUMBER() OVER (Partition by Person,Track Order by Date
Desc) AS RN1
,Date,Distance
from Distances P1
)Select T.Person,T.Track1,T.T1Date
,T.T1Distance,T.Track2,T.T2Date,T.T2Distance
From (
Select C1.Person,C1.Track AS 'Track1',C1.Date AS 'T1Date',
C1.Distance 'T1Distance',
C2.Track AS 'Track2',C2.Date As 'T2Date',C2.Distance 'T2Distance',
ROW_NUMBER() OVER (Partition BY C1.Person Order by C1.Date Desc) RNX
from
CTE C1
JOIN
CTE C2 ON C1.RN1=1 AND C2.RN1=1
AND C1.Person=C2.Person
AND C1.Track<>C2.Track
)t Where t.RNX=1
you may also use dynamic query to achieve your expected result :)
DECLARE #nCount INT
DECLARE #nStart INT
DECLARE #Query NVARCHAR(MAX) =' '
DECLARE #sPerson NVARCHAR(MAX)
DECLARE #sTrack NVARCHAR(MAX)
SET #nCount = (SELECT COUNT(DISTINCT(person)) FROM DISTANCES)
SET #nStart = 1
WHILE #nStart <= #nCount
BEGIN
SET #sPerson = (SELECT PERSON FROM (
SELECT PERSON, ROW_NUMBER() OVER (ORDER BY PERSON) RN FROM (
SELECT DISTINCT(PERSON) FROM DISTANCES
) T1
) T2 WHERE RN = #nStart
)
SET #Query = #Query + '
SELECT '''+#sPerson+''' + '','' + STUFF( '','' +(
SELECT TRACK + '', '' + DATE + '', '' + DISTANCE FROM (
SELECT TRACK, DATE,DISTANCE,
ROW_NUMBER() OVER (PARTITION BY TRACK ORDER BY DATE DESC) RN FROM (
SELECT TRACK,date,DISTANCE FROM DISTANCES WHERE PERSON = '''+#sPerson+'''
) T1
) T2
WHERE RN = 1 FOR XML PATH('''')
),1,1,''''
)
'
IF(#nStart != #nCount)
SET #Query = #Query + ' UNION ALL '
SET #nStart = #nStart + 1
END
EXEC SP_EXECUTESQL #Query
To have a general query it need to be dynamic
DECLARE #query AS NVARCHAR(MAX)
DECLARE #pivotCols AS NVARCHAR(MAX)
DECLARE #cols AS NVARCHAR(MAX)
SELECT #pivotCols = STUFF((SELECT DISTINCT ',' + QUOTENAME([Track])
FROM Distances
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)') , 1, 1, '')
;WITH T AS (
SELECT Track
, _ID = CAST(Row_Number() OVER (ORDER BY Track) AS VARCHAR)
FROM Distances
GROUP BY Track
)
SELECT #Cols = STUFF((
SELECT ', Track_' + _ID + ' = ''' + Track + ''''
+ ', LastRun_' + _ID + ' = ' + QUOTENAME([Track])
+ ', Distance_' + _ID + '
= SUM(CASE WHEN d.Date = ' + QUOTENAME([Track]) + '
AND d.Track = ''' + Track + '''
THEN d.Distance ELSE NULL END)'
FROM T FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)') , 1, 1, '')
SELECT #query = '
With LR AS (
SELECT Person, ' + #pivotCols + '
FROM (SELECT Track, Person, [Date] FROM Distances) d
PIVOT (MAX([Date]) FOR Track IN (' + #pivotCols + ')) pvt
)
SELECT d.Person, ' + #Cols + '
FROM Distances d
INNER JOIN LR ON d.Person = LR.Person AND d.Date IN (' + #pivotCols + ')
GROUP BY d.Person, ' + #pivotCols + ''
execute(#query);
SQLFiddle demo
The first query generate the list of field for the PIVOT.
The second one generate the fields for the compound query.
The PIVOT is used to get, for every person, the last run on every track, that is than joined back to the base data to get the distance