3
Ich habe eine Tabelle wie auf diesem Foto.T-SQL Dynamische Spalten Daten
Ich möchte wie sein:
EventTypeID|CreatedBy |2016-03-01 |2016-03-02 |2016-03-03|...
6 | 2 | 1 | 2 | 0 |...
9 | 4 | 0 | 1 | 3 |...
...
Ich habe versucht, dieses T-SQL:
DECLARE
@cols AS NVARCHAR(MAX),
@query AS NVARCHAR(MAX),
@startdate datetime,
@enddate datetime,
@paramdef nvarchar(max)
SET @startdate = '2013-02-01'
SET @enddate = '2013-05-10';
SET @paramdef = '@startdate datetime, @enddate datetime';
SELECT
@cols = STUFF((SELECT ',' + QUOTENAME(convert(varchar(10), [Date], 120))
FROM AdeccoView
--where datein > @startdate
-- and datein <= @enddate
GROUP BY [Date]
ORDER BY [Date]
FOR XML PATH(''), TYPE).value('.', 'NVARCHAR(MAX)'), 1, 1, '')
SET @query = N'SELECT EventTypeID, '+ @cols + '
from
(
select EventTypeID,
[Date] = convert(varchar(10), [Date], 120),
dttime = cast(cast(timeout as varchar(5)),
row_number() over(partition by ViewID, [Date] order by [Date]) seq
from AdeccoViews
--where datein > @startdate
-- and datein <= @enddate
) x
pivot
(
max(dttime)
for [Date] in ('[email protected]+')
) p '
exec sp_executesql @query, @paramdef, @startdate = @startdate, @enddate = @enddate;
EDIT:
Dies ist meine editied Version. .it scheint gut zu sein, aber ich kämpfe mit der lokalen Variablen @v_columns - Falsche Syntax in der Nähe von "+ @ v" _Columns + ". Erwartet '.', ID oder QUOTED_ID.
DECLARE
@v_Columns VARCHAR(MAX),
@v_StartDate DATETIME = '2011-11-01',
@v_EndDate DATETIME = '2011-11-05',
@v_Query VARCHAR(MAX)
--pivot and delimit values
SELECT @v_Columns = COALESCE(@v_Columns,'[') + convert(varchar, [Date], 111) + '],['
FROM
(SELECT DISTINCT [Date] FROM AdeccoView) th
WHERE
th.[Date] BETWEEN @v_StartDate AND @v_EndDate
--delete last two chars of string (the ending ',[')
SET @v_Columns = SUBSTRING(@v_Columns, 1, LEN(@v_Columns)-2)
SELECT Name,[Event]
FROM
(SELECT ViewID, emp.EmployeeD, c.EventTypeID, c.CreatedBy, emp.Name,c.[Date], [Event]
FROM
AdeccoView c
left join EventType r
on c.EventTypeID = r.EventTypeID
left join Employee emp on c.CreatedBy = emp.EmployeeD) p
PIVOT
(COUNT (EventTypeID) FOR [Date] IN ('+ @v_Columns +')) AS pvt
ORDER BY pvt.ViewID;
EDIT mit TOTAL Säule:
Ich versuche Gesamt Spalte einzurichten, die Daten sind jedoch nicht gut. Ich benutzen COUNT (*) über Partition:
DECLARE
@cols AS NVARCHAR(MAX),
@selcols AS NVARCHAR(MAX),
@query AS NVARCHAR(MAX),
@startdate datetime,
@enddate datetime,
@paramdef nvarchar(max)
SET @startdate = '2013-02-01'
SET @enddate = '2013-05-10';
SET @paramdef = '@startdate datetime, @enddate datetime';
SELECT
@selcols = STUFF((SELECT ','+'ISNULL(' + QUOTENAME(convert(varchar(10), [Date], 120)) + ', 0) AS ' + QUOTENAME(convert(varchar(10), [Date], 120))
FROM AdeccoView
--where datein > @startdate
-- and datein <= @enddate
GROUP BY [Date]
ORDER BY [Date]
FOR XML PATH(''), TYPE).value('.', 'NVARCHAR(MAX)'), 1, 1, '')
SELECT
@cols = STUFF((SELECT ',' + QUOTENAME(convert(varchar(10), [Date], 120))
FROM AdeccoView
--where datein > @startdate
-- and datein <= @enddate
GROUP BY [Date]
ORDER BY [Date]
FOR XML PATH(''), TYPE).value('.', 'NVARCHAR(MAX)'), 1, 1, '')
SET @query = N'SELECT CreatedBy,Name, Surname,EventTypeID,Event, '+ @selcols + ',Total
from
(
select av.EventTypeID,av.CreatedBy,emp.Name,emp.Surname,Event,
convert(varchar(10), [Date], 120) [Date],
row_number() over(PARTITION BY [date],av.EventTypeID,av.CreatedBy order BY av.EventTypeID,av.CreatedBy) m,
Count(*) over(partition by av.EventTypeID) Total
from AdeccoView av
left join EventType et on et.EventTypeID = av.EventTypeID
left join Employee emp on av.CreatedBy = emp.EmployeeD
) x
pivot
(
max(m)
for [Date] in ('[email protected]+')
) p '
exec sp_executesql @query, @paramdef, @startdate = @startdate, @enddate [email protected];
Nö, ich lief auf Fehler: auf der Linie 10 und Linie 1 - falsche Syntax nahe '2016.03.03'. Außerdem: Falsche Syntax in der Nähe von 'x'. – Stefan0309
Ich mache einige Fehler jetzt sollte es funktionieren –
Aber mit bearbeitetem Beitrag möchten Sie verschiedene Daten aus dem ersten post.Wenn Sie Variablen verwenden, müssen Sie Exec sp_executesql verwenden, weil dynamische Abfrage ist. –