假设我有以下SQL结果
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
我需要将具有相同数量的所有月份分组到一行，因此结果应为
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
我搜索了stackoverflow并发现了类似的帖子，我试图解决这些问题This和This
以下是我用来创建结果的SQL，其中term_start将是我的生命时间，而term_end将是我的结束时间。如果您有任何建议，请告诉我。这是我在SSRS报告中使用的数据集，如果在SSRS报告方面有更简单的方法来执行此操作，那么我愿意接受选项..谢谢！
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
答案 0 :(得分：2)
您可以使用从第一行开始的递归CTE：
;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;
我像这样加载了样本数据：
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);
答案 1 :(得分：1)
检查这个
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