Let's say I have the following SQL result
BegDate | EndDate | quanitty
1/1/2014 1/31/2014 1
2/1/2014 2/28/2014 1
3/1/2014 3/31/2014 2
4/1/2014 4/30/2014 4
5/1/2014 5/31/2014 4
6/1/2014 6/30/2014 4
7/1/2014 7/31/2014 2
8/1/2014 8/30/2014 2
I need to group all months with the same quantity into one row so the result should be
BegDate | EndDate | quanitty
1/1/2014 2/28/2014 1
3/1/2014 3/31/2014 2
4/1/2014 6/30/2014 4
7/1/2014 8/30/2014 2
I've searched around stackoverflow and found similar posts which solution's I've tried to no avail This and This
The following is the SQL i'm using to create the result where term_start would be my begtime and term_end would be my endtime. Please let me know if you have any suggestions. This is a dataset I'm using in my SSRS reports, if there's an easier way on the SSRS reporting side to do this then I'm open to options.. THANKS!
SELECT
collaboration = t.collaboration
, trade = t.trade
, position = p.position
, buyer = CASE WHEN ((p.positiontype = 'BUY') OR (p.positiontype = 'SWAP' AND p.swaptype = 'BUY')) THEN co.name
WHEN ((p.positiontype = 'SELL') OR (p.positiontype = 'SWAP' AND p.swaptype = 'SELL')) THEN cp.name
END
, seller = CASE WHEN ((p.positiontype = 'SELL') OR (p.positiontype = 'SWAP' AND p.swaptype = 'SELL')) THEN co.name
WHEN ((p.positiontype = 'BUY') OR (p.positiontype = 'SWAP' AND p.swaptype = 'BUY')) THEN cp.name
END
, trade_date = t.tradedate
, timezone = t.timezone
, delivery_point = isnull(pp.point,'')
------------TABLE DATA BELOW------------
, currency = f.currency
, currency_unit = f.unit
, term_start = CASE WHEN pq.quantitystatus = 'TRADE' THEN pq.begtime ELSE 0 END
, term_end = CASE WHEN pq.quantitystatus = 'TRADE' THEN dateadd(dd,-1,pq.endtime) ELSE 0 END
, hours = CASE
WHEN ls.loadshape is not null and ls.granularity = 'LOAD' and lsq.loadshape is not null THEN 'Hour Ending (HE) ' + CONVERT(VARCHAR,lsq.beghour + 1) + '00 through HE ' + CONVERT(VARCHAR, lsq.endhour) + '00 (' + CONVERT(VARCHAR, lsq.endhour-lsq.beghour-1) +' Hours each day), Monday Through Sunday, including NERC holidays; ' + tz.description
WHEN ls.loadshape is not null and ls.granularity = 'LOAD' and lsq.loadshape is null THEN 'See attached schedule'
WHEN ls.loadshape is not null and ls.granularity = 'PROFILE' THEN 'See attached schedule'
ELSE btz.cpn_description END
, quantity = CASE
WHEN ls.loadshape is not null and ls.granularity = 'LOAD' and lsq.loadshape is not null THEN CONVERT(VARCHAR,convert(double precision, lsq.quantity))
WHEN ls.loadshape is not null and ls.granularity = 'LOAD' and lsq.loadshape is null THEN 'See attached schedule'
WHEN ls.loadshape is not null and ls.granularity = 'PROFILE' THEN 'See attached schedule'
ELSE CONVERT(VARCHAR,convert(double precision, pq.energy)) END
, product = pr.producttype
, unit = CASE isnull(p.unit,'') WHEN 'dth' THEN 'Dth' WHEN 'kwh' THEN 'kWh' WHEN 'kwm' THEN 'kWm' WHEN 'mmbtu' THEN 'MMBtu' WHEN 'mw' THEN 'MW' when 'mwd' THEN 'MWD' WHEN 'mwh' THEN 'MWH' WHEN 'mwm' THEN 'MWM' WHEN 'gal' THEN 'Gallon' ELSE isnull(p.unit,'') END
, unit_plural = CASE isnull(p.unit,'') WHEN 'dth' THEN 'Dth' WHEN 'kwh' THEN 'kWh' WHEN 'kwm' THEN 'kWm' WHEN 'mmbtu' THEN 'MMBtu''s' WHEN 'mw' THEN 'MW' when 'mwd' THEN 'MWD' WHEN 'mwh' THEN 'MWH' WHEN 'mwm' THEN 'MWM' WHEN 'gal' THEN 'Gallons' ELSE isnull(p.unit,'') END
, total_qty = convert(double precision, pp.totalquantity)
, priceindex = f.priceindex
, pricediff = convert(double precision, f.pricediff)
, price = CASE
WHEN t.tradetype = 'Phys Power HR' or t.tradetype = 'Phys HR Power Option' and f.priceindex is not null THEN priceindex + '*' + convert(varchar, convert(double precision, factor))
WHEN t.tradetype = 'Phys Power HR' or t.tradetype = 'Phys HR Power Option' and f.priceindex is null THEN convert(varchar, convert(double precision, f.pricediff))
WHEN f.priceindex is not null and f.pricediff is null THEN f.priceindex
WHEN f.priceindex is not null and isnull(CONVERT(FLOAT, f.pricediff), 0) > 0 THEN f.priceindex + '+' + convert(varchar(max), convert(double precision, f.pricediff))
WHEN f.priceindex is not null and isnull(CONVERT(FLOAT, f.pricediff), 0) < 0 THEN f.priceindex + '-' + convert(varchar(max), convert(double precision, f.pricediff))
ELSE convert(varchar(max), convert(double precision, f.pricediff))
END
, loadshape = p.loadshape
, lstimeunit = ls.timeunit
, granularity = ls.granularity
, loadshapeHours = 'Hour Ending (HE) ' + CONVERT(VARCHAR,lsq.beghour + 1) + '00 through HE ' + CONVERT(VARCHAR, lsq.endhour) + '00 (' + CONVERT(VARCHAR, lsq.endhour-lsq.beghour-1) +' Hours each day), Monday Through Sunday, including NERC holidays; ' + tz.description
, loadshapeQuantity = convert(double precision, lsq.quantity)
, loadshapeQuantityLoadshape = lsq.loadshape
, loadshapeFlag = CASE
WHEN ls.loadshape is not null and ls.granularity = 'LOAD' and lsq.loadshape is null THEN 1
WHEN ls.loadshape is not null and ls.granularity = 'PROFILE' THEN 1
ELSE 0 END
FROM trade t
INNER JOIN (SELECT *, CASE positiontype WHEN 'BUY' THEN 'PAY' WHEN 'SELL' THEN 'REC' END paystatus from position) p
on p.trade = t.trade
INNER JOIN product pr on p.product = pr.product
INNER JOIN powerposition pp on p.position = pp.position
INNER JOIN powerquantity pq on pq.position = pp.position
AND pq.posdetail = pp.posdetail
AND pq.quantitystatus = 'TRADE'
INNER JOIN blocktimezone btz on btz.block = p.block and t.timezone = btz.timezone
LEFT OUTER JOIN fee f on f.dbvalue = p.position
AND f.dbcolumn = 'POSITION'
AND f.feemethod = 'COMMODITY PRICE'
AND f.feemode in ('FIXED', 'VARIABLE')
AND f.feetype IS NULL
INNER JOIN counterparty co on co.counterparty = t.company
INNER JOIN counterparty cp on cp.counterparty = p.counterparty
LEFT JOIN loadshape ls on ls.loadshape = p.loadshape
LEFT JOIN loadshapequantity lsq on lsq.loadshape = ls.loadshape
LEFT JOIN timezone tz on tz.timezone = t.timezone
WHERE 1=1
AND p.positionmode = 'PHYSICAL'
AND t.collaboration = @collaboration
You can use a recursive CTE starting with the first row:
;WITH CTE AS (
SELECT TOP 1 *, 1 AS Id
FROM #t
ORDER BY BegDate
UNION ALL
SELECT t.*, c.Id + CASE WHEN t.quanitty = c.quanitty THEN 0 ELSE 1 END
FROM CTE c
JOIN #t t ON c.BegDate = DATEADD(MONTH, -1, t.BegDate)
)
SELECT MIN(BegDate) AS BegDate, MAX(EndDate) AS EndDate, MIN(quanitty) AS quanitty
FROM CTE
GROUP BY Id
ORDER BY Id;
I loaded the sample data like so:
SELECT CAST(t.BegDate AS DATE) AS BegDate
, CAST(t.EndDate AS DATE) AS EndDate
, CAST(t.quanitty AS INT) AS quanitty
INTO #t
FROM ( VALUES
('1/1/2014','1/31/2014',1),
('2/1/2014','2/28/2014',1),
('3/1/2014','3/31/2014',2),
('4/1/2014','4/30/2014',4),
('5/1/2014','5/31/2014',4),
('6/1/2014','6/30/2014',4),
('7/1/2014','7/31/2014',2),
('8/1/2014','8/30/2014',2)
) AS t(BegDate,EndDate,quanitty);
check this
select min(BegDate) as BegDate, max(EndDate) as EndDate, min(quanitty) as quanitty
from
(
select *, row_number() over(partition by quanitty order by quanitty) p_rno
,row_number() over(order by BegDate) rno
--,row_number() over(partition by quanitty order by quanitty)-
-- row_number() over(order by BegDate) rno
from #t
) t
group by (p_rno-rno)
order by BegDate
来源:https://stackoverflow.com/questions/32318255/sql-combine-consecutive-date-rows-based-on-column