There's a table T with columns n00, n01, n01, ..., n99, all integers.
I need to select all rows from this table where n00...n99 values are unique within each row.
Example for smaller number of columns:
columns: n0, n1, n2
row 1: 10, 20, 30
row 2: 34, 45, 56
row 3: 12, 13, 12
row 4: 31, 65, 90
I need the select statement to return rows 1, 2 and 4 but not 3 (row 3 contains non-unique value of 12 so filter it out).
Effectively I need to implement this:
select *
from t
where
n00 <> n01 and n00 <> n02 and ... and n00 <> n99
and n01 <> n02 and n01 <> n03 and ... and n01 <> n99
and n02 <> n03 and n02 <> n04 and ... and n02 <> n99
...
and n97 <> n98 and n97 <> n99
and n98 <> n99
... but with "smarter" WHERE block.
Any hints welcome.
You can use UNPIVOT as well:
DECLARE #t TABLE(n0 int, n1 int, n2 int);
INSERT INTO #t VALUES (10, 20, 30), (34, 45, 56), (12, 13, 12), (31, 65, 90);
WITH cteRows AS(
SELECT ROW_NUMBER() OVER (ORDER BY n0, n1, n2) rn, *
FROM #t
),
cteUP AS(
SELECT rn, rn_val
FROM cteRows
UNPIVOT(
rn_val FOR rn_vals IN(n0, n1, n2)
) up
),
cteFilter AS(
SELECT rn, rn_val, count(*) anz
FROM cteUP
GROUP BY rn, rn_val
HAVING count(*) > 1
)
SELECT *
FROM cteRows
WHERE rn NOT IN (SELECT rn FROM cteFilter)
A more dynamic approach using CROSS APPLY and a little XML. I should add UNPIVOT would be more performant, but the performance of this approach is very respectable, and you don't have identify all the fields.
You'll notice I added an ID field. Can be removed from the CROSS APPLY C if it does not exist. I included the ID to demonstrate that additional fields may be excluded from the logic.
Declare #YourTable table (id int,n0 int, n1 int, n2 int)
Insert Into #YourTable values
(1,10, 20, 30),
(2,34, 45, 56),
(3,12, 13, 12),
(4,31, 65, 90)
Select A.*
From #YourTable A
Cross Apply (Select XMLData=cast((Select A.* For XML Raw) as xml)) B
Cross Apply (
Select Cnt=count(*),Uniq=count(Distinct Value)
From (
Select ID = r.value('#id','int') -- case sensitive
,Item = attr.value('local-name(.)','varchar(100)')
,Value = attr.value('.','varchar(max)')
From B.XMLData.nodes('/row') as A(r)
Cross Apply A.r.nodes('./#*') AS B(attr)
Where attr.value('local-name(.)','varchar(100)') not in ('id','excludeotherfields') -- case sensitive
) U
) C
Where Cnt=Uniq
Returns
id n0 n1 n2
1 10 20 30
2 34 45 56
4 31 65 90
If it helps with the visualization, the XML portion generates the following
Related
I can't replace every 2 characters of a string with a '.'
select STUFF('abcdefghi', 3, 1, '.') c3,STUFF('abcdefghi', 5, 1,
'.') c5,STUFF('abcdefghi', 7, 1, '.') c7,STUFF('abcdefghi', 9, 1, '.')
c9
if I use STUFF I should subsequently overlap the strings c3, c5, c7 and c9. but I can't find a method
can you help me?
initial string:
abcdefghi
the result I would like is
ab.de.gh.
the string can be up to 50 characters
Create a numbers / tally / digits table, if you don't have one already, then you can use this to target each character position:
with digits as ( /* This would be a real table, here it's just to test */
select n from (values(1),(2),(3),(4),(5),(6),(7),(8),(9),(10))x(n)
), t as (
select 'abcdefghi' as s
)
select String_Agg( case when d.n%3 = 0 then '.' else Substring(t.s, d.n, 1) end, '')
from t
cross apply digits d
where d.n <Len(t.s)
Using for xml with existing table
with digits as (
select n from (values(1),(2),(3),(4),(5),(6),(7),(8),(9),(10))x(n)
),
r as (
select t.id, case when d.n%3=0 then '.' else Substring(t.s, d.n, 1) end ch
from t
cross apply digits d
where d.n <Len(t.s)
)
select result=(select '' + ch
from r r2
where r2.id=r.id
for xml path('')
)
from r
group by r.id
You can try it like this:
Easiest might be a quirky update ike here:
DECLARE #string VARCHAR(100)='abcdefghijklmnopqrstuvwxyz';
SELECT #string = STUFF(#string,3*A.pos,1,'.')
FROM (SELECT TOP(LEN(#string)/3) ROW_NUMBER() OVER(ORDER BY (SELECT NULL))
FROM master..spt_values) A(pos);
SELECT #string;
Better/Cleaner/Prettier was a recursive CTE:
We use a declared table to have some tabular sample data
DECLARE #tbl TABLE(ID INT IDENTITY, SomeString VARCHAR(200));
INSERT INTO #tbl VALUES('')
,('a')
,('ab')
,('abc')
,('abcd')
,('abcde')
,('abcdefghijklmnopqrstuvwxyz');
--the query
WITH recCTE AS
(
SELECT ID
,SomeString
,(LEN(SomeString)+1)/3 AS CountDots
,1 AS OccuranceOfDot
,SUBSTRING(SomeString,4,LEN(SomeString)) AS RestString
,CAST(LEFT(SomeString,2) AS VARCHAR(MAX)) AS Growing
FROM #tbl
UNION ALL
SELECT t.ID
,r.SomeString
,r.CountDots
,r.OccuranceOfDot+2
,SUBSTRING(RestString,4,LEN(RestString))
,CONCAT(Growing,'.',LEFT(r.RestString,2))
FROM #tbl t
INNER JOIN recCTE r ON t.ID=r.ID
WHERE r.OccuranceOfDot/2<r.CountDots-1
)
SELECT TOP 1 WITH TIES ID,Growing
FROM recCTE
ORDER BY ROW_NUMBER() OVER(PARTITION BY ID ORDER BY OccuranceOfDot DESC);
--the result
1
2 a
3 ab
4 ab
5 ab
6 ab.de
7 ab.de.gh.jk.mn.pq.st.vw.yz
The idea in short
We use a recursive CTE to walk along the string
we add the needed portion together with a dot
We stop, when the remaining length is to short to continue
a little magic is the ORDER BY ROW_NUMBER() OVER() together with TOP 1 WITH TIES. This will allow all first rows (frist per ID) to appear.
I'm trying to evaluate user loyalty bonuses balance when bonuses burns after half-year inactivity. I want my sum consist of ord's 4, 5 and 6 for user 1.
create table transactions (
user int,
ord int, -- transaction date replacement
amount int,
lag interval -- after previous transaction
);
insert into transactions values
(1, 1, 10, '1h'::interval),
(1, 2, 10, '.5y'::interval),
(1, 3, 10, '1h'::interval),
(1, 4, 10, '.5y'::interval),
(1, 5, 10, '.1h'::interval),
(1, 6, 10, '.1h'::interval),
(2, 1, 10, '1h'::interval),
(2, 2, 10, '.5y'::interval),
(2, 3, 10, '.1h'::interval),
(2, 4, 10, '.1h'::interval),
(3, 1, 10, '1h'::interval),
;
select user, sum(
amount -- but starting from last '.5y'::interval if any otherwise everything counts
) from transactions group by user
user | sum(amount)
--------------------
1 | 30 -- (4+5+6), not 50, not 60
2 | 30 -- (2+3+4), not 40
3 | 10
try this:
with cte as(
select *,
case when (lead(lag) over (partition by user_ order by ord)) >= interval '.5 year'
then 1 else 0 end "flag" from test
),
cte1 as (
select *,
case when flag=(lag(flag,1) over (partition by user_ order by ord)) then 0 else 1 end "flag1" from cte
)
select distinct on (user_) user_, sum(amount) over (partition by user_,grp order by ord) from (
select *, sum(flag1) over (partition by user_ order by ord) "grp" from cte1) t1
order by user_ , ord desc
DEMO
Though it is very complicated and slow but resolve your problem
Is this what you're looking for ?
with last_5y as(
select "user", max(ord) as ord
from transactions
where lag = '.5y'::interval group by "user"
) select t.user, sum(amount)
from transactions t, last_5y t2
where t.user = t2.user and t.ord >= t2.ord
group by t.user
I would like to replace a set of running and non running numbers with commas and hyphens where appropriate.
Using STUFF & XML PATH I was able to accomplish some of what I want by getting something like 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 13, 15, 19, 20, 21, 22, 24.
WITH CTE AS (
SELECT DISTINCT t1.ORDERNo, t1.Part, t2.LineNum
FROM [DBName].[DBA].Table1 t1
JOIN Table2 t2 ON t2.Part = t1.Part
WHERE t1.ORDERNo = 'AB12345')
SELECT c1.ORDERNo, c1.Part, STUFF((SELECT ', ' + CAST(LineNum AS VARCHAR(5))
FROM CTE c2
WHERE c2.ORDERNo= c1.ORDERNo
FOR XML PATH('')), 1, 2, '') AS [LineNums]
FROM CTE c1
GROUP BY c1.ORDERNo, c1.Part
Here is some sample output:
ORDERNo Part LineNums
ON5650 PT01-0181 5, 6, 7, 8, 12
ON5652 PT01-0181 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 13, 15, 19, 20, 21, 22, 24
ON5654 PT01-0181 1, 4
ON5656 PT01-0181 1, 2, 4
ON5730 PT01-0181 1, 2
ON5253 PT16-3934 1, 2, 3, 4, 5
ON1723 PT02-0585 1, 2, 3, 6, 8, 9, 10
Would like to have:
OrderNo Part LineNums
ON5650 PT01-0181 5-8, 12
ON5652 PT01-0181 1-10, 13, 15, 19-22, 24
ON5654 PT01-0181 1, 4
ON5656 PT01-0181 1-2, 4
ON5730 PT01-0181 1-2
ON5253 PT16-3934 1-5
ON1723 PT02-0585 1-3, 6, 8-10
This is a classic gaps-and-islands problem.
(a good read on the subject is Itzik Ben-Gan's Gaps and islands from SQL Server MVP Deep Dives)
The idea is that you first need to identify the groups of consecutive numbers. Once you've done that, the rest is easy.
First, create and populate sample table (Please save us this step in your future questions):
DECLARE #T AS TABLE
(
N int
);
INSERT INTO #T VALUES
(1), (2), (3), (4),
(6),
(8),
(10), (11),
(13), (14), (15),
(17),
(19), (20), (21),
(25);
Then, use a common table expression to identify the groups.
With Grouped AS
(
SELECT N,
N - ROW_NUMBER() OVER(ORDER BY N) As Grp
FROM #T
)
The result if this cte is this:
N Grp
1 0
2 0
3 0
4 0
6 1
8 2
10 3
11 3
13 4
14 4
15 4
17 5
19 6
20 6
21 6
25 9
As you can see, while the numbers are consecutive, the grp value stays the same.
When a row has a number that isn't consecutive with the previous number, the grp value changes.
Then you select from that cte, using a case expression to either select a single number (if it's the only one in it's group) or the start and end of the group, separated by a dash:
SELECT STUFF(
(
SELECT ', ' +
CASE WHEN MIN(N) = MAX(N) THEN CAST(MIN(N) as varchar(11))
ELSE CAST(MIN(N) as varchar(11)) +'-' + CAST(MAX(N) as varchar(11))
END
FROM Grouped
GROUP BY grp
FOR XML PATH('')
), 1, 2, '') As GapsAndIslands
The result:
GapsAndIslands
1-4, 6, 8, 10-11, 13-15, 17, 19-21, 25
For fun I put together another way using Window Aggregates (e.g. SUM() OVER ...). I also use some newer T-SQL functionality such as CONCAT (2012+) and STRING_AGG (2017+). This using Zohar's sample data.
DECLARE #T AS TABLE(N INT PRIMARY KEY CLUSTERED);
INSERT INTO #T VALUES (1),(2),(3),(4),(6),(8),(10),(11),(13),(14),(15),(17),(19),(20),(21),(25);
WITH
a AS (
SELECT t.N,isNewGroup = SIGN(t.N-LAG(t.N,1,t.N-1) OVER (ORDER BY t.N)-1)
FROM #t AS t),
b AS (
SELECT a.N, GroupNbr = SUM(a.isNewGroup) OVER (ORDER BY a.N)
FROM a),
c AS (
SELECT b.GroupNbr,
txt = CONCAT(MIN(b.N), REPLICATE(CONCAT('-',MAX(b.N)), SIGN(MAX(b.N)-MIN(b.N))))
FROM b
GROUP BY b.GroupNbr)
SELECT STRING_AGG(c.txt,', ') WITHIN GROUP (ORDER BY c.GroupNbr) AS Islands
FROM c;
Returns:
Islands
1-4, 6 , 8, 10-11, 13-15, 17, 19-21, 25
And here an approach using a recursive CTE.
DECLARE #T AS TABLE(N INT PRIMARY KEY CLUSTERED);
INSERT INTO #T VALUES (1),(2),(3),(4),(6),(8),(10),(11),(13),(14),(15),(17),(19),(20),(21),(25);
WITH Numbered AS
(
SELECT N, ROW_NUMBER() OVER(ORDER BY N) AS RowIndex FROM #T
)
,recCTE AS
(
SELECT N
,RowIndex
,CAST(N AS VARCHAR(MAX)) AS OutputString
,(SELECT MAX(n2.RowIndex) FROM Numbered n2) AS MaxRowIndex
FROM Numbered WHERE RowIndex=1
UNION ALL
SELECT n.N
,n.RowIndex
,CASE WHEN A.TheEnd =1 THEN CONCAT(r.OutputString,CASE WHEN IsIsland=1 THEN '-' ELSE ',' END, n.N)
WHEN A.IsIsland=1 AND A.IsWithin=0 THEN CONCAT(r.OutputString,'-')
WHEN A.IsIsland=1 AND A.IsWithin=1 THEN r.OutputString
WHEN A.IsIsland=0 AND A.IsWithin=1 THEN CONCAT(r.OutputString,r.N,',',n.N)
ELSE CONCAT(r.OutputString,',',n.N)
END
,r.MaxRowIndex
FROM Numbered n
INNER JOIN recCTE r ON n.RowIndex=r.RowIndex+1
CROSS APPLY(SELECT CASE WHEN n.N-r.N=1 THEN 1 ELSE 0 END AS IsIsland
,CASE WHEN RIGHT(r.OutputString,1)='-' THEN 1 ELSE 0 END AS IsWithin
,CASE WHEN n.RowIndex=r.MaxRowIndex THEN 1 ELSE 0 END AS TheEnd) A
)
SELECT TOP 1 OutputString FROM recCTE ORDER BY RowIndex DESC;
The idea in short:
First we create a numbered set.
The recursive CTE will use the row's index to pick the next row, thus iterating through the set row-by-row
The APPLY determines three BIT values:
Is the distance to the previous value 1, then we are on the island, otherwise not
Is the last character of the growing output string a hyphen, then we are waiting for the end of an island, otherwise not.
...and if we've reached the end
The CASE deals with this four-field-matrix:
First we deal with the end to avoid a trailing hyphen at the end
Reaching an island we add a hyphen
Staying on the island we just continue
Reaching the end of an island we add the last number, a comma and start a new island
any other case will just add a comma and start a new island.
Hint: You can read island as group or section, while the commas mark the gaps.
Combining what I already had and using Zohar Peled's code I was finally able to figure out a solution:
WITH cteLineNums AS (
SELECT TOP 100 PERCENT t1.OrderNo, t1.Part, t2.LineNum
, (t2.line_number - ROW_NUMBER() OVER(PARTITION BY t1.OrderNo, t1.Part ORDER BY t1.OrderNo, t1.Part, t2.LineNum)) AS RowSeq
FROM [DBName].[DBA].Table1 t1
JOIN Table2 t2 ON t2.Part = t1.Part
WHERE t1.OrderNo = 'AB12345')
GROUP BY t1.OrderNo, t1.Part, t2.LineNum
ORDER BY t1.OrderNo, t1.Part, t2.LineNum)
SELECT OrderNo, Part
, STUFF((SELECT ', ' +
CASE WHEN MIN(line_number) = MAX(line_number) THEN CAST(MIN(line_number) AS VARCHAR(3))
WHEN MIN(line_number) = (MAX(line_number)-1) THEN CAST(MIN(line_number) AS VARCHAR(3)) + ', ' + CAST(MAX(line_number) AS VARCHAR(3))
ELSE CAST(MIN(line_number) AS VARCHAR(3)) + '-' + CAST(MAX(line_number) AS VARCHAR(3))
END
FROM cteLineNums c1
WHERE c1.OrderNo = c2.OrderNo
AND c1.Part = c2.Part
GROUP BY OrderNo, Part
ORDER BY OrderNo, Part
FOR XML PATH('')), 1, 2, '') AS [LineNums]
FROM cteLineNums c2
GROUP BY OrderNo, Part
I used the ROW_NUMBER() OVER PARTITION BY since I returned multiple records with different Order Numbers and Part Numbers. All this lead to me still having to do the self join in the second part in order to get the correct LineNums to show for each record.
The second WHEN in the CASE statement is due to the code defaulting to having something like 2, 5, 8-9, 14 displayed when it should be 2, 5, 8, 9, 14.
So i have a table and a query that ranks the cost of items and doesn't allows ties with position 1, if there is a tie at position 1 the ranking starts at 2.
Here is the schema with a sample data
CREATE TABLE applications
(id int, name char(10), cost int);
INSERT INTO applications
(id, name, cost)
VALUES
(1, 'nfhfjs', 10),
(2, 'oopdld', 20),
(3, 'Wedass', 14),
(4, 'djskck', 22),
(5, 'laookd', 25),
(6, 'mfjjf', 25),
(7, 'vfhgg', 28),
(8, 'nvopq', 29),
(9, 'nfhfj', 56),
(10, 'voapp', 56);
Here is the query
WITH start_tie AS (
SELECT
DENSE_RANK() OVER(ORDER BY cost DESC) cost_rank,
lead(cost,1) OVER (ORDER BY cost DESC) as next_app_cost
FROM
applications LIMIT 1
)
SELECT
*,
DENSE_RANK() OVER(ORDER BY cost DESC) cost_rank,
(CASE start_tie.cost_rank WHEN start_tie.next_app_cost THEN cost_rank+1 ELSE cost_rank END) AS right_cost_rank
FROM
applications;
my expected result is
id name cost cost_rank
10 voapp 56 2
9 nfhfj 56 2
8 nvopq 29 3
7 vfhgg 28 4
6 mfjjf 25 5
5 laookd 25 5
4 djskck 22 6
2 oopdld 20 7
3 Wedass 14 8
1 nfhfjs 10 9
Please modify the query to achieve the result.
SQL FIDDLE
All you need to do is to check if the highest cost is the same as the second-highest cost. And if that is the case, add 1 to all rank values:
with start_tie as (
select case
when cost = lead(cost) over (order by cost desc) then 1
else 0
end as tie_offset
from applications
order by cost desc
limit 1
)
select *,
dense_rank() over (order by cost desc) + (select tie_offset from start_tie) cost_rank
from applications;
Example: http://rextester.com/EKSLJK65530
If the number of ties defines the offset to be used for the "new" ranking, the offset could be calculated using this:
with start_tie as (
select count(*) - 1 as tie_offset
from applications a1
where cost = (select max(cost) from applications)
)
select *,
dense_rank() over(order by cost desc) + (select tie_offset from start_tie) cost_rank
from applications;
No tie at first, means more than one with rank 1
replace r.cost_rank+x.c-1 with r.cost_rank+1 if fixed start at 2 rank to regardless of how many are in tie ranks are
WITH r AS (
SELECT
*
,DENSE_RANK() OVER(ORDER BY cost DESC) cost_rank
FROM
applications
), x as (select count(*) as c from r where cost_rank=1)
SELECT
r.*, (CASE WHEN 1<x.c THEN r.cost_rank+x.c-1 ELSE r.cost_rank END) as fixed
FROM
r,x;
I would like to solve this issue avoiding to use cursors (FETCH).
Here comes the problem...
1st Table/quantity
------------------
periodid periodstart periodend quantity
1 2010/10/01 2010/10/15 5
2st Table/sold items
-----------------------
periodid periodstart periodend solditems
14343 2010/10/05 2010/10/06 2
Now I would like to get the following view or just query result
Table Table/stock
-----------------------
periodstart periodend itemsinstock
2010/10/01 2010/10/04 5
2010/10/05 2010/10/06 3
2010/10/07 2010/10/15 5
It seems impossible to solve this problem without using cursors, or without using single dates instead of periods.
I would appreciate any help.
Thanks
DECLARE #t1 TABLE (periodid INT,periodstart DATE,periodend DATE,quantity INT)
DECLARE #t2 TABLE (periodid INT,periodstart DATE,periodend DATE,solditems INT)
INSERT INTO #t1 VALUES(1,'2010-10-01T00:00:00.000','2010-10-15T00:00:00.000',5)
INSERT INTO #t2 VALUES(14343,'2010-10-05T00:00:00.000','2010-10-06T00:00:00.000',2)
DECLARE #D1 DATE
SELECT #D1 = MIN(P) FROM (SELECT MIN(periodstart) P FROM #t1
UNION ALL
SELECT MIN(periodstart) FROM #t2) D
DECLARE #D2 DATE
SELECT #D2 = MAX(P) FROM (SELECT MAX(periodend) P FROM #t1
UNION ALL
SELECT MAX(periodend) FROM #t2) D
;WITH
L0 AS (SELECT 1 AS c UNION ALL SELECT 1),
L1 AS (SELECT 1 AS c FROM L0 A CROSS JOIN L0 B),
L2 AS (SELECT 1 AS c FROM L1 A CROSS JOIN L1 B),
L3 AS (SELECT 1 AS c FROM L2 A CROSS JOIN L2 B),
L4 AS (SELECT 1 AS c FROM L3 A CROSS JOIN L3 B),
Nums AS (SELECT ROW_NUMBER() OVER (ORDER BY (SELECT 0)) AS i FROM L4),
Dates AS(SELECT DATEADD(DAY,i-1,#D1) AS D FROM Nums where i <= 1+DATEDIFF(DAY,#D1,#D2)) ,
Stock As (
SELECT D ,t1.quantity - ISNULL(t2.solditems,0) AS itemsinstock
FROM Dates
LEFT OUTER JOIN #t1 t1 ON t1.periodend >= D and t1.periodstart <= D
LEFT OUTER JOIN #t2 t2 ON t2.periodend >= D and t2.periodstart <= D ),
NStock As (
select D,itemsinstock, ROW_NUMBER() over (order by D) - ROW_NUMBER() over (partition by itemsinstock order by D) AS G
from Stock)
SELECT MIN(D) AS periodstart, MAX(D) AS periodend, itemsinstock
FROM NStock
GROUP BY G, itemsinstock
ORDER BY periodstart
Hopefully a little easier to read than Martin's. I used different tables and sample data, hopefully extrapolating the right info:
CREATE TABLE [dbo].[Quantity](
[PeriodStart] [date] NOT NULL,
[PeriodEnd] [date] NOT NULL,
[Quantity] [int] NOT NULL
) ON [PRIMARY]
CREATE TABLE [dbo].[SoldItems](
[PeriodStart] [date] NOT NULL,
[PeriodEnd] [date] NOT NULL,
[SoldItems] [int] NOT NULL
) ON [PRIMARY]
INSERT INTO Quantity (PeriodStart,PeriodEnd,Quantity)
SELECT '20100101','20100115',5
INSERT INTO SoldItems (PeriodStart,PeriodEnd,SoldItems)
SELECT '20100105','20100107',2 union all
SELECT '20100106','20100108',1
The actual query is now:
;WITH Dates as (
select PeriodStart as DateVal from SoldItems union select PeriodEnd from SoldItems union select PeriodStart from Quantity union select PeriodEnd from Quantity
), Periods as (
select d1.DateVal as StartDate, d2.DateVal as EndDate
from Dates d1 inner join Dates d2 on d1.DateVal < d2.DateVal left join Dates d3 on d1.DateVal < d3.DateVal and d3.DateVal < d2.DateVal where d3.DateVal is null
), QuantitiesSold as (
select StartDate,EndDate,COALESCE(SUM(si.SoldItems),0) as Quantity
from Periods p left join SoldItems si on p.StartDate < si.PeriodEnd and si.PeriodStart < p.EndDate
group by StartDate,EndDate
)
select StartDate,EndDate,q.Quantity - qs.Quantity
from QuantitiesSold qs inner join Quantity q on qs.StartDate < q.PeriodEnd and q.PeriodStart < qs.EndDate
And the result is:
StartDate EndDate (No column name)
2010-01-01 2010-01-05 5
2010-01-05 2010-01-06 3
2010-01-06 2010-01-07 2
2010-01-07 2010-01-08 4
2010-01-08 2010-01-15 5
Explanation: I'm using three Common Table Expressions. The first (Dates) is gathering all of the dates that we're talking about, from the two tables involved. The second (Periods) selects consecutive values from the Dates CTE. And the third (QuantitiesSold) then finds items in the SoldItems table that overlap these periods, and adds their totals together. All that remains in the outer select is to subtract these quantities from the total quantity stored in the Quantity Table
John, what you could do is a WHILE loop. Declare and initialise 2 variables before your loop, one being the start date and the other being end date. Your loop would then look like this:
WHILE(#StartEnd <= #EndDate)
BEGIN
--processing goes here
SET #StartEnd = #StartEnd + 1
END
You would need to store your period definitions in another table, so you could retrieve those and output rows when required to a temporary table.
Let me know if you need any more detailed examples, or if I've got the wrong end of the stick!
Damien,
I am trying to fully understand your solution and test it on a large scale of data, but I receive following errors for your code.
Msg 102, Level 15, State 1, Line 20
Incorrect syntax near 'Dates'.
Msg 102, Level 15, State 1, Line 22
Incorrect syntax near ','.
Msg 102, Level 15, State 1, Line 25
Incorrect syntax near ','.
Damien,
Based on your solution I also wanted to get a neat display for StockItems without overlapping dates. How about this solution?
CREATE TABLE [dbo].[SoldItems](
[PeriodStart] [datetime] NOT NULL,
[PeriodEnd] [datetime] NOT NULL,
[SoldItems] [int] NOT NULL
) ON [PRIMARY]
INSERT INTO SoldItems (PeriodStart,PeriodEnd,SoldItems)
SELECT '20100105','20100106',2 union all
SELECT '20100105','20100108',3 union all
SELECT '20100115','20100116',1 union all
SELECT '20100101','20100120',10
;WITH Dates as (
select PeriodStart as DateVal from SoldItems
union
select PeriodEnd from SoldItems
union
select PeriodStart from Quantity
union
select PeriodEnd from Quantity
), Periods as (
select d1.DateVal as StartDate, d2.DateVal as EndDate
from Dates d1
inner join Dates d2 on d1.DateVal < d2.DateVal
left join Dates d3 on d1.DateVal < d3.DateVal and
d3.DateVal < d2.DateVal where d3.DateVal is null
), QuantitiesSold as (
select StartDate,EndDate,SUM(si.SoldItems) as Quantity
from Periods p left join SoldItems si on p.StartDate < si.PeriodEnd and si.PeriodStart < p.EndDate
group by StartDate,EndDate
)
select StartDate,EndDate, qs.Quantity
from QuantitiesSold qs
where qs.quantity is not null