I'm currently tying to figure out how to split an ID into 2 rows at each instance of '/'. The original IDs will still be saved in the main table as well as temp table 2 but I need the new IDs saved to a new table. All of this happens in temporary tables on a pre-import handler before a report is generated.
The tables output is currently as follows:
RWID RWLEN DESCR QTY UNIT
T2/10060 20.0000 SomeInfo 1 pcs
T2/10061 18.5689 SomeInfo 1 pcs
T2/10062 20.0000 SomeInfo 1 pcs
I need the table to out the following:
RWID RWLEN DESCR QTY UNIT
T10060 20.0000 SomeInfo 1 pcs
T20060 20.0000 SomeInfo 1 pcs
T10061 18.5689 SomeInfo 1 pcs
T20061 18.5689 SomeInfo 1 pcs
T10062 20.0000 SomeInfo 1 pcs
T20062 20.0000 SomeInfo 1 pcs
A snippet of my code is below:
-- populate temp table 1 from main table
SELECT *
INTO ##tmp1
FROM main;
-- populate temp table 2 from temp table 1, group and order by RWID
SELECT RWID, MAX(DESCR) as aux
INTO ##tmp2
FROM ##tmp1
group by RWID
ORDER by RWID;
-- populate temp table 3 from temp table 1 then split strings with dividers
SELECT RWID, RWLEN, DESCR, QTY, UNIT
INTO ##tmp3
FROM ##tmp1
UNION ALL
SELECT RWID, NULL RWLEN, NULL DESCR, NULL QTY, NULL UNIT
FROM ##tmp1
GROUP BY RWID
ORDER BY RWID, DESCR desc;
SELECT
RWID = CASE WHEN a.DESCR = b.AUX THEN a.RWID ELSE NULL END,
RWLEN = CASE WHEN a.DESCR = b.AUX THEN a.RWLEN ELSE NULL END,
a.DESCR,
a.QTY,
a.UNIT
INTO ##report
FROM ##tmp3
a
FULL OUTER JOIN ##tmp2
b on a.RWID = b.RWID;
SELECT *
FROM ##report
Thanks in advance for your time and assistance.
UPDATE! Thanks so much for all of your help, it really steered me in the right direction. I've figured out how to split the strings shown above as well as the other types of IDs that I'll encounter that I hadn't included in the example. Thanks again for your time and help, you're all awesome!!
Result: http://www.sqlfiddle.com/#!18/17a09/1
You can simply use a UNION ALL like following to get the desired output.
SELECT 'T1'+ SUBSTRING(RWID,CHARINDEX('/',RWID)+1,
LEN(RWID)- CHARINDEX('/',RWID)) -- + OTHER COLUMN
FROM [TABLE_NAME]
UNION ALL
SELECT 'T2'+ SUBSTRING(RWID,CHARINDEX('/',RWID)+1,
LEN(RWID)- CHARINDEX('/',RWID)) -- + OTHER COLUMN
FROM [TABLE_NAME]
Complete Example
DECLARE #TBL TABLE (RWID VARCHAR(30), RWLEN DECIMAL(15,2),
DESCR VARCHAR(50), QTY INT, UNIT VARCHAR(4))
INSERT INTO #TBL
values
('T2/10060', 20.0000 ,'SomeInfo', 1 ,'pcs'),
('T2/10061', 18.5689 ,'SomeInfo', 1 ,'pcs'),
('T2/10062', 20.0000 ,'SomeInfo', 1 ,'pcs')
SELECT 'T1'+ SUBSTRING(RWID, CHARINDEX('/',RWID)+1,LEN(RWID)- CHARINDEX('/',RWID)) RWID
,RWLEN, DESCR, QTY, UNIT
FROM #TBL
UNION ALL
SELECT 'T2'+ SUBSTRING(RWID, CHARINDEX('/',RWID)+1,LEN(RWID)- CHARINDEX('/',RWID)) RWID
,RWLEN, DESCR, QTY, UNIT
FROM #TBL
Output
+---------+-------+----------+-----+------+
| RWID | RWLEN | DESCR | QTY | UNIT |
+---------+-------+----------+-----+------+
| T110060 | 20.00 | SomeInfo | 1 | pcs |
+---------+-------+----------+-----+------+
| T110061 | 18.57 | SomeInfo | 1 | pcs |
+---------+-------+----------+-----+------+
| T110062 | 20.00 | SomeInfo | 1 | pcs |
+---------+-------+----------+-----+------+
| T210060 | 20.00 | SomeInfo | 1 | pcs |
+---------+-------+----------+-----+------+
| T210061 | 18.57 | SomeInfo | 1 | pcs |
+---------+-------+----------+-----+------+
| T210062 | 20.00 | SomeInfo | 1 | pcs |
+---------+-------+----------+-----+------+
DEMO
SQL-server using CTE
declare #table table (rwid varchar(30), rwlen float, descr varchar(50), qty int, unit varchar(4))
insert into #table
values
('T2/10060', 20.0000 ,'SomeInfo', 1 ,'pcs'),
('T2/10061', 18.5689 ,'SomeInfo', 1 ,'pcs'),
('T2/10062', 20.0000 ,'SomeInfo', 1 ,'pcs')
;with mycte as (
select *, cast(right(left(rwid,charindex('/',rwid)-1),1) as int) [num], 1 [start] from #table
union all
select t.*,c.start + 1, c.num from #table t
inner join mycte c
on c.rwid = t.rwid
and c.start + 1 <= c.num
)
select
concat(left(rwid,1), start,replace(rwid,left(rwid,charindex('/',rwid)+1),'')) ,
rwlen,
descr,
qty,
unit
from mycte
order by rwid, start
Using Cross apply
;WITH CTE( RWID, RWLEN,DESCR,QTY, UNIT)
AS
(
SELECT 'T2/10060',20.0000,'SomeInfo', 1,'pcs' UNION ALL
SELECT 'T2/10061',18.5689,'SomeInfo', 1,'pcs' UNION ALL
SELECT 'T2/10062',20.0000,'SomeInfo', 1,'pcs'
)
SELECT REPLACE(RWID,'2/1',CAST(Rnk AS VARCHAr(2))) AS RWID
,RWLEN
,DESCR
,QTY
,UNIT
FROM
(
SELECT C.*,ROW_NUMBER()OVER(PARTITION BY C.RWID ORDER BY C.RWID) AS Rnk
FROM CTE C
CROSS APPLY CTE C2
)dt WHERE Rnk<3
Result
http://www.sqlfiddle.com/#!18/9eecb/11626
Related
I have a table that contains a list of names. However, some rows contain the name and the alias separated by , f/k/a—, , f/k/a or , n/k/a . I'm trying to split the names and aliases into separate rows. Can someone please help?
Sample data below:
|---------------------------------------------------------|
| ID | Name |
|---------------------------------------------------------|
| 1 | Evil Empire, f/k/a - Starbucks |
| 2 | Aubrey Drake Graham, n/k/a Drake |
| 3 | Thomas Johnson Bridge, f/k/a Solomans Bridge |
|---------------------------------------------------------|
Desired output below:
|---------------------------------------------------------|
| ID | Name |
|---------------------------------------------------------|
| 1 | Evil Empire |
| 1.1 | Starbucks |
| 2 | Aubrey Drake Graham |
| 2.1 | Drake |
| 3 | Thomas Johnson Bridge |
| 3.1 | Solomans Bridge |
|---------------------------------------------------------|
No need for ordinal splitter. It's a simple unpivot using CROSS APPLY
[EDIT] Changed method of splitting to look for '%/%/%' in cases where there's an alias
select cast(unpvt.id as varchar(9))+iif(unpvt.seq=1, '', '.1') ID,
trim(replace(replace(replace(unpvt.[Name],'f/k/a - ',''),'f/k/a ',''),'n/k/a ','')) [Name]
from (values (1, 'Evil Empire, f/k/a - Starbucks'),
(2, 'Aubrey Drake Graham, n/k/a Drake'),
(3, 'Thomas Johnson Bridge, f/k/a Solomans Bridge'),
(4, 'Thomas, J, Cat, f/k/a Solomans,,,Bridge'),
(5, 'Thomas')) v(id, [Name])
cross apply (values (v.id, substring(v.[Name], 1, patindex('%/%/%', v.Name)-4), 1),
(v.id, substring(v.[Name], patindex('%/%/%', v.Name)-1, len(v.[Name])), 2)) unpvt(id, [Name], seq)
where patindex('%/%/%', v.[Name])>1;
Results
ID Name
1 Evil Empire
1.1 Starbucks
2 Aubrey Drake Graham
2.1 Drake
3 Thomas Johnson Bridge
3.1 Solomans Bridge
4 Thomas, J, Cat
4.1 Solomans,,,Bridge
As you can't use the built in string_split you will need to add a Table Valued Function to do that for you. Using one of these allows you to split your data like this:
Query
declare #t table(ID int,[Name] varchar(100));
insert into #t values
(1,'Evil Empire, f/k/a - Starbucks')
,(2,'Aubrey Drake Graham, n/k/a Drake')
,(3,'Thomas Johnson Bridge, f/k/a Solomans Bridge')
;
select case when s.rn = 1
then t.ID
else t.ID + ((s.rn - 1)/10.)
end as ID
,replace(replace(replace(s.item,' f/k/a - ',''),' f/k/a ',''),' n/k/a ','')
from #t as t
cross apply dbo.fn_StringSplit4k(t.[Name],',',null) as s
order by t.ID
,s.rn;
Output
+----------+-----------------------+
| ID | Name |
+----------+-----------------------+
| 1.000000 | Evil Empire |
| 1.100000 | Starbucks |
| 2.000000 | Aubrey Drake Graham |
| 2.100000 | Drake |
| 3.000000 | Thomas Johnson Bridge |
| 3.100000 | Solomans Bridge |
+----------+-----------------------+
Function
create function [dbo].[fn_StringSplit4k]
(
#str nvarchar(4000) = ' ' -- String to split.
,#delimiter as nvarchar(20) = ',' -- Delimiting value to split on.
,#num as int = null -- Which value to return.
)
returns table
as
return
-- Start tally table with 10 rows.
with n(n) as (select 1 union all select 1 union all select 1 union all select 1 union all select 1 union all select 1 union all select 1 union all select 1 union all select 1 union all select 1)
-- Select the same number of rows as characters in #str as incremental row numbers.
-- Cross joins increase exponentially to a max possible 10,000 rows to cover largest #str length.
,t(t) as (select top (select len(isnull(#str,'')) a) row_number() over (order by (select null)) from n n1,n n2,n n3,n n4)
-- Return the position of every value that follows the specified delimiter.
,s(s) as (select 1 union all select t+1 from t where case when #delimiter = '' and t < len(#str) then 1 else case when substring(isnull(#str,''),t,1) = #delimiter then 1 else 0 end end = 1)
-- Return the start and length of every value, to use in the SUBSTRING function.
-- ISNULL/NULLIF combo handles the last value where there is no delimiter at the end of the string.
,l(s,l) as (select s,case when #delimiter = '' then 1 else isnull(nullif(charindex(#delimiter,isnull(#str,''),s),0)-s,4000) end from s)
select rn
,item
from(select row_number() over(order by s) as rn
,substring(#str,s,l) as item
from l
) a
where rn = #num
or #num is null;
I have a log table that looks like this:
ProductId | OldDescription | NewDescription | OldTagId | NewTagId |
-------------------------------------------------------------------
12345 | description1 | description2 | 1 | 5 |
and I want to display it this way:
ProductId | ChangeId | OldVal | NewVal |
----------------------------------------------------------
12345 | 1 | description1 | description2 |
12345 | 2 | 1 | 5 |
Where the data in the ChangeId corresponds to the type of the value changed (Description, TagId)
How could I approach this?
Thank you
Just another option via CROSS APPLY
Example
Declare #YourTable Table ([ProductId] varchar(50),[OldDescription] varchar(50),[NewDescription] varchar(50),[OldTagId] int,[NewTagId] int)
Insert Into #YourTable Values
(12345,'description1','description2',1,5)
Select ProductID
,B.*
From #YourTable A
Cross Apply ( values (1,[OldDescription],[NewDescription])
,(2,left([OldTagId],25),left([NewTagId],25))
) B(ChangeID,OldVal,NewVal)
Returns
ProductID ChangeID OldVal NewVal
12345 1 description1 description2
12345 2 1 5
Just for fun:
I saw the comment of 30 columns. If performance is NOT essential, here is option that will dynamically pivot your data without actually using dynamic SQL
Select *
From (
Select ProductID
,C.*
From #YourTable A
Cross Apply ( values (cast((Select A.* for XML RAW) as xml))) B(XMLData)
Cross Apply (
Select Item = left(xAttr.value('local-name(.)', 'varchar(100)'),3)+'Val'
,Value = xAttr.value('.','varchar(100)')
,ChangeID = ((row_number() over (order by (select null)) - 1 ) / 2)+1
From XMLData.nodes('//#*') xNode(xAttr)
Where xAttr.value('local-name(.)','varchar(100)') not in ('ProductID','Other','ColumnsToExclude')
) C
) src
Pivot ( max(Value) for Item in ([OldVal],[NewVal]) ) pvt
See if something like that works for you:
SELECT ProductId,
1 AS ChangeId,
OldDescription AS OldVal,
NewDescription AS NewVal
FROM log
UNION
SELECT ProductId,
2 AS ChangeId,
OldTagId AS OldVal,
NewTagId AS NewVal
FROM log
ORDER BY ProductId,
ChangeId
I am trying to create a stored proc in SQL Server 2008.
I have a "Timings" Table (which could have thousands of records):
StaffID | MachineID | StartTime | FinishTime
1 | 1 | 01/01/2018 12:00 | 01/01/18 14:30
2 | 1 | 01/01/2018 12:00 | 01/01/18 13:00
3 | 2 | 01/01/2018 12:00 | 01/01/18 13:00
3 | 2 | 01/01/2018 13:00 | 01/01/18 14:00
4 | 3 | 01/01/2018 12:00 | 01/01/18 12:30
5 | 3 | 01/01/2018 11:00 | 01/01/18 13:30
This shows how long each staff member was working on each machine.
I would like to produce a results table as below:
MachineID | StaffQty | TotalMins
1 | 1 | 90
1 | 2 | 60
2 | 1 | 120
3 | 1 | 120
3 | 2 | 30
This would show how many minutes each machine had only one person using it, how many minutes each machine had 2 people using it etc.
Normally, I would post what I have tried so far, but all my attempts seem to be so far away, I don't think there is much point.
Obviously, I would be very grateful of a complete solution but I would also appreciate even just a little nudge in the right direction.
I think this answers your question:
declare #t table (StaffID int, MachineID int, StartTime datetime2,FinishTime datetime2)
insert into #t(StaffID,MachineID,StartTime,FinishTime) values
(1,1,'2018-01-01T12:00:00','2018-01-01T14:30:00'),
(2,1,'2018-01-01T12:00:00','2018-01-01T13:00:00'),
(3,2,'2018-01-01T12:00:00','2018-01-01T12:30:00')
;With Times as (
select MachineID,StartTime as Time from #t
union
select MachineID,FinishTime from #t
), Ordered as (
select
*,
ROW_NUMBER() OVER (PARTITION BY MachineID ORDER BY Time) rn
from Times
), Periods as (
select
o1.MachineID,o1.Time as StartTime,o2.Time as FinishTime
from
Ordered o1
inner join
Ordered o2
on
o1.MachineID = o2.MachineID and
o1.rn = o2.rn - 1
)
select
p.MachineID,
p.StartTime,
MAX(p.FinishTime) as FinishTime,
COUNT(*) as Cnt,
DATEDIFF(minute,p.StartTime,MAX(p.FinishTime)) as TotalMinutes
from
#t t
inner join
Periods p
on
p.MachineID = t.MachineID and
p.StartTime < t.FinishTime and
t.StartTime < p.FinishTime
group by p.MachineID,p.StartTime
Results:
MachineID StartTime FinishTime Cnt TotalMinutes
----------- --------------------------- --------------------------- ----------- ------------
1 2018-01-01 12:00:00.0000000 2018-01-01 13:00:00.0000000 2 60
1 2018-01-01 13:00:00.0000000 2018-01-01 14:30:00.0000000 1 90
2 2018-01-01 12:00:00.0000000 2018-01-01 12:30:00.0000000 1 30
Hopefully you can see what each of the CTEs is doing. The only place where this may not give you exactly the results you're seeking is if one person's FinishTime is precisely equal to another person's StartTime on the same machine. Should be rare in real data hopefully.
For Sql server 2012+,
Please mention your Sql server version.
Try my script with other sample data.
Please post other sample data if it is not working.
I think my script can be fix for other Test scenario.
create table #temp(StaffID int,MachineID int,StartTime datetime,FinishTime datetime)
insert into #temp VALUES
(1, 1,'01/01/2018 12:00','01/01/18 14:30')
,(2, 1,'01/01/2018 12:00','01/01/18 13:00')
,(3, 2,'01/01/2018 12:00','01/01/18 12:30')
;
WITH CTE
AS (
SELECT t.*
,t1.StaffQty
,datediff(MINUTE, t.StartTime, t.FinishTime) TotalMinutes
FROM #temp t
CROSS APPLY (
SELECT count(*) StaffQty
FROM #temp t1
WHERE t.machineid = t1.machineid
AND (
t.StartTime >= t1.StartTime
AND t.FinishTime <= t1.FinishTime
)
) t1
)
SELECT MachineID
,StaffQty
,TotalMinutes - isnull(LAG(TotalMinutes, 1) OVER (
PARTITION BY t.MachineID ORDER BY t.StartTime
,t.FinishTime
), 0)
FROM cte t
drop table #temp
for Sql server 2008,
;
WITH CTE
AS (
SELECT t.*
,t1.StaffQty
,datediff(MINUTE, t.StartTime, t.FinishTime) TotalMinutes
,ROW_NUMBER() OVER (
PARTITION BY t.machineid ORDER BY t.StartTime
,t.FinishTime
) rn
FROM #temp t
CROSS APPLY (
SELECT count(*) StaffQty
FROM #temp t1
WHERE t.machineid = t1.machineid
AND (
t.StartTime >= t1.StartTime
AND t.FinishTime <= t1.FinishTime
)
) t1
)
SELECT t.MachineID
,t.StaffQty
,t.TotalMinutes - isnull(t1.TotalMinutes, 0) TotalMinutes
FROM cte t
OUTER APPLY (
SELECT TOP 1 TotalMinutes
FROM cte t1
WHERE t.MachineID = t1.machineid
AND t1.rn < t.rn
ORDER BY t1.rn DESC
) t1
I have this Data set
InvoiceID CDamount companyname
1 2500 NASA
1 -2500 NASA
2 1600 Airjet
3 5000 Boeing
4 -600 EXEarth
5 8000 SpaceX
5 -8000 SpaceX
I want to be able to get that as shown below:
External ID CDamount companyname
1 2500 NASA
1-C -2500 NASA
2 1600 Airjet
3 5000 Boeing
4 -600 EXEarth
5 8000 SpaceX
5-C -8000 SpaceX
I cannot use CASE WHEN CDamount < 0 THEN InvoiceID + '-' + 'C' ELSE InvoiceID END AS "External ID" because some of other companies have negative amount as well that do not fall under this category.
I was wondering how can I say IF InvoiceID is Duplicated AND CDAmount is Negative then Create a new External ID?
Is this something possible?
Below you can create the sample data
Create Table #Incident (
InvoiceID int,
CDamount int,
Companyname Nvarchar(255))
insert into #Incident Values (1,2500,'NASA')
insert into #Incident Values (1,-2500,'NASA')
insert into #Incident Values (2,1600,'Airjet')
insert into #Incident Values (3, 5000, 'Boeing')
insert into #Incident Values (4, -600, 'ExEarth')
insert into #Incident Values (5,8000,'SpaceX')
insert into #Incident Values (5, -8000, 'SpaceX')
Here is What I used but as I mentioned since ID number 4 has negative value as well I get "-C" for it which I do not want to.
Select CASE WHEN T1.CDamount < 0
THEN CAST(T1.InvoiceID AS nvarchar (255)) + '-' + 'C'
ELSE CAST(T1.InvoiceID AS nvarchar (255))
END AS ExternalID,
T1.Companyname
from #Incident AS T1
So I got this based on my knowledge of SQL and that works for my case.
Not sure if it is an smart way to go with but can be a good start for someone who is struggling with a Scenario like this:
;With CTE1 AS (
SELECT Count(*) AS Duplicate, T1.InvoiceID
From #Incident AS T1
Group by T1.InvoiceID
),
Main AS (
Select CASE WHEN T1.CDamount < 0 AND T2.Duplicate > 1
THEN CAST(T1.InvoiceID AS nvarchar (255)) + '-' + 'C'
ELSE CAST(T1.InvoiceID AS nvarchar (255))
END AS ExternalID,
T1.InvoiceID AS count,
T1.CDamount,
T1.Companyname
from #Incident AS T1
Join CTE1 AS T2 ON T1.InvoiceID = T2.InvoiceID
)
SELECT * FROM Main
Alternative solution without CTE, using ROW_NUMBER() function.
SELECT
CASE WHEN CDAmount < 0 AND RowID > 1
THEN InvoiceID + '-C'
ELSE InvoiceID
END AS ExternalID
, CDAmount
, CompanyName
FROM
(
SELECT
CAST(InvoiceID AS NVARCHAR(255)) AS InvoiceID
, CDAmount
, CompanyName
, ROW_NUMBER() OVER (PARTITION BY InvoiceID ORDER BY CompanyName) AS RowID
FROM
#Incident
) AS SourceTable
The trick is using ROW_NUMBER() function to generate a sequence which resets when InvoiceID changes. Here's the subquery and its result. Use CASE statement when CDAmount is negative and RowID greater than 1.
SELECT
CAST(InvoiceID AS NVARCHAR(255)) AS InvoiceID
, CDAmount
, CompanyName
, ROW_NUMBER() OVER (PARTITION BY InvoiceID ORDER BY CompanyName) AS RowID
FROM
#Incident
Subquery result:
+-----------+----------+-------------+-------+
| InvoiceID | CDAmount | CompanyName | RowID |
+-----------+----------+-------------+-------+
| 1 | 2500 | NASA | 1 |
| 1 | -2500 | NASA | 2 |
| 2 | 1600 | Airjet | 1 |
| 3 | 5000 | Boeing | 1 |
| 4 | -600 | ExEarth | 1 |
| 5 | 8000 | SpaceX | 1 |
| 5 | -8000 | SpaceX | 2 |
+-----------+----------+-------------+-------+
First of all, execuse the longer question, but I will try to put it as simply as possible...
I'm trying to write a kind of a reporting query, but I'm having a problem getting the desired results. The problem:
Employee table
Id | Name
---------------
1 | John Smith
2 | Alan Jones
3 | James Jones
Task table
Id | Title | StartDate | EmployeeId | Estimate (integer - ticks)
----------------------------------------------------------------------------
1 | task1 | 21.08.2011 | 1 | 90000000000
2 | task2 | 21.08.2011 | 1 | 150000000
3 | task3 | 22.08.2011 | 2 | 1230000000
Question:
How to get the estimate summary per day, grouped, but to include all the employees?
Like this:
Date | EmployeeId | EmployeeName | SummaryEstimate
-------------------------------------------------------------
19.08.2011 | 1 | John Smith | NULL
19.08.2011 | 2 | Alan Jones | NULL
19.08.2011 | 3 | James Jones | NULL
20.08.2011 | 1 | John Smith | NULL
20.08.2011 | 2 | Alan Jones | NULL
20.08.2011 | 3 | James Jones | NULL
21.08.2011 | 1 | John Smith | 90150000000
21.08.2011 | 2 | Alan Jones | NULL
21.08.2011 | 3 | James Jones | NULL
22.08.2011 | 1 | John Smith | NULL
22.08.2011 | 2 | Alan Jones | 1230000000
22.08.2011 | 3 | James Jones | NULL
What I currently do is I have a "dates" table with 30years of days. I left join and group by that table to get other dates included too. Well, here is the query:
SELECT dates.value, employee.Id, employee.Name, sum(task.Estimate)
FROM TableOfDates as dates
left join Tasks as task on (dates.value = convert(varchar(10), task.StartTime, 101))
left join Employees as employee on (employee.Id = task.EmployeeId)
WHERE dates.value >= '2011-08-19' and dates.value < '2011-08-22'
GROUP BY dates.value, employee.Id, employee.Name
ORDER BY dates.value, employee.Id
The convert call is to get the date part of the DateTime column.
The result that I get is:
Date | EmployeeId | EmployeeName | SummaryEstimate
-------------------------------------------------------------
19.08.2011 | NULL | NULL | NULL
20.08.2011 | NULL | NULL | NULL
21.08.2011 | 1 | John Smith | 90150000000
22.08.2011 | 2 | Alan Jones | 1230000000
I am there half of the way, I get dates that are not in the two base joined tables (Employees and Tasks) but I cannot also have all the employees included as in the table shown before this one.
I've tried cross-joining, then subqueries, but little luck there. Any help would be very much appreciated ! Thank you for having the time to go through all of this, I hope I was clear enough...
SELECT DE.DateValue, DE.EmployeeId, DE.EmployeeName, sum(task.Estimate)
FROM
( SELECT
D.value AS DateValue
, E.Id AS EmployeeId
, E.Name AS EmployeeName
FROM
TableOfDates D
CROSS JOIN Employees E ) DE
left join Tasks as task on DE.DateValue = convert(varchar(10), task.StartTime, 101)
AND DE.EmployeeId = task.EmployeeId
WHERE DE.DateValue >= '2011-08-19' and DE.DateValue < '2011-08-22'
GROUP BY DE.DateValue, DE.EmployeeId, DE.EmployeeName
ORDER BY DE.DateValue, DE.EmployeeId
Note that this solution offers the possibility to drop the day-table as you may use a dynamic recursive CTE instead.
The other CTE:s (Employees and Tasks) can be substituted with the real tables.
DECLARE #startDate DATETIME = '2011-08-01'
DECLARE #endDate DATETIME = '2011-09-01'
;WITH Employees(Id,Name)
AS
(
SELECT 1, 'John Smith'
UNION ALL
SELECT 2, 'Alan Jones'
UNION ALL
SELECT 3, 'James Jones'
)
,Tasks (Id, Title, StartDate, EmployeeId, Estimate)
AS
(
SELECT 1, 'task1', '2011-08-21', 1, 90000000000
UNION ALL
SELECT 2, 'task2', '2011-08-21', 1, 150000000
UNION ALL
SELECT 3, 'task3', '2011-08-22', 2, 1230000000
)
,TableOfDates(value)
AS
(
SELECT DATEADD(DAY, DATEDIFF(DAY, 0, #startDate), 0)
UNION ALL
SELECT DATEADD(DAY, 1, value)
FROM TableOfDates
WHERE value < #endDate
)
SELECT dates.value
,employee.Id
,employee.Name
,SUM(task.Estimate) AS SummaryEstimate
FROM TableOfDates dates
CROSS JOIN Employees employee
LEFT JOIN Tasks task
ON dates.value = task.StartDate
AND (employee.Id = task.EmployeeId)
WHERE dates.value >= '2011-08-19'
AND dates.value < '2011-08-26'
GROUP BY
dates.value
,employee.Id
,employee.Name
ORDER BY
dates.value
,employee.Id
use this query:
create table #T_dates (id_date int identity(1,1),inp_date datetime)
create table #T_tasks (id_task int identity(1,1),key_date int, key_emp int, est int)
create table #T_emp (id_emp int identity(1,1),name varchar(50))
insert #T_dates (inp_date) values ('08.19.2011')
insert #T_dates (inp_date) values ('08.20.2011')
insert #T_dates (inp_date) values ('08.21.2011')
insert #T_dates (inp_date) values ('08.22.2011')
insert #T_dates (inp_date) values ('08.23.2011')
insert #T_dates (inp_date) values ('08.24.2011')
--select * from #T_dates
insert #T_emp (name) values ('John Smith')
insert #T_emp (name) values ('Alan Jones')
insert #T_emp (name) values ('James Jones')
--select * from #T_emp
insert #T_tasks (key_date,key_emp,est) values (4,1,900000)
insert #T_tasks (key_date,key_emp,est) values (4,1,15000)
insert #T_tasks (key_date,key_emp,est) values (5,2,123000)
--select * from #T_tasks
select inp_date,id_emp,name,EST
from #T_emp
cross join #T_dates
left join
(
select key_date,key_emp,SUM(est) 'EST' from #T_tasks group by key_date,key_emp
) Gr
ON Gr.key_emp = id_emp and Gr.key_date = id_date
where inp_date >= '2011-08-19' and inp_date <= '2011-08-22'
order by inp_date,id_emp