我遇到了一个旧查询
此查询返回清单
中所有项目的清算股票价值原始场景表：
T1：DETAIL_PURCHASE
T2：PURCHASE_REPORT
T3：DETAIL_SALE
T4：SALE_REPORT
DETAIL_PURCHASE 有列 ITEMID，QTYSOLD，BILLNO
PURCHASE_REPORT 有列 BILLNO，BILLDATE
DETAIL_SALE 有专栏，QTYSOLD，BILLNO
SALE_REPORT BILLNO，BILLDATE
我正在寻找的查询是将每个单独项目DIFFERENCE的DETAIL_PURCHASE中的所有数量与每个单独项目的DETAIL_SALE中的所有数量相加，并使用SALE_REPORT＆amp;中的日期进行日期过滤查询。 PURCHASE_REPORT。
SELECT
dp.ITEMNAME,
SUM(CAST(dp.QUANTITY AS numeric(18, 2))) - SUM(CAST(ds.QTY AS numeric(18, 2))) AS [ClosingStock]
FROM detailpurchases AS dp
JOIN purchasereport AS pr
ON dp.BARCODE = pr.voucherno
JOIN detailsale AS ds
ON ds.ITEMN = dp.ITEMN
JOIN salesreport AS sr
ON ds.BARCODE = sr.voucherno
WHERE ds.T = 'R'
AND pr.voucherdate BETWEEN '" & DATE1.Text & "' AND '" & DATE2.Text & "'
AND sr.voucherdate BETWEEN '" & DATE1.Text & "' AND '" & DATE2.Text & "'
GROUP BY dp.ITEMNAME;
我解决了上面的查询，但它仍然返回错误的值。更有可能的是价值远高于所需的价值。
示例表：
DETAILPURCHASE：
ID SN ITEMN BARCODE ITEMNAME HSN T CP BID BATCHN QUANTITY 282 1 106 0009 5STAR 10.1G 5/- 18063100 0 230.11011 90.0 330 2 106 0014 5STAR 10.1G 5/- 18063100 0 3.979876543 4860.0 332 2 106 0015 5STAR 10.1G 5/- 18063100 0 3.8397736 4860.0 385 3 106 0021 5STAR 10.1G 5/- 18063100 0 210.73944 144.0 446 1 106 0025 5STAR 10.1G 5/- 18063100 0 230.1099 108.0 545 6 106 0034 5STAR 10.1G 5/- 18063100 0 225.34766 1 90.0 598 1 106 0039 5STAR 10.1G 5/- 18063100 0 230.109944 180.0 671 1 106 0044 5STAR 10.1G 5/- 18063100 1 222.80137 54 832 270.0 814 1 106 0070 5STAR 10.1G 5/- 18063100 1 222.80 369 906 108.0
DETAILSALE：
ID SN ITEMN BARCODE ITEMNAME HSN T CP BIID BATCHN QTY 59 12 106 0214 5STAR 10.1G 5/- 18063100 R 222.8 54 832 2.0 94 7 106 0218 5STAR 10.1G 5/- 18063100 R 222.8 54 832 18.0 111 8 106 0220 5STAR 10.1G 5/- 18063100 R 222.8 54 832 5.0 163 1 106 0225 5STAR 10.1G 5/- 18063100 R 222.8 54 832 1.0 189 17 106 0227 5STAR 10.1G 5/- 18063100 R 222.8 54 832 1.0 257 13 106 0231 5STAR 10.1G 5/- 18063100 R 222.8 54 832 5.0 303 12 106 0232 5STAR 10.1G 5/- 18063100 R 222.8 54 832 4.0 359 22 106 0235 5STAR 10.1G 5/- 18063100 R 222.8 54 832 5.0 379 14 106 0236 5STAR 10.1G 5/- 18063100 R 222.8 54 832 2.0 497 1 106 0293 5STAR 10.1G 5/- 18063100 R 222.8 369 906 2.0 516 1 106 0291 5STAR 10.1G 5/- 18063100 R 222.8 369 906 18.0
PURCHASEREPORT：
ID VOUCHERTYPE VOUCHERDATE VOUCHERNO PARTY 15 Purchase 2017-07-21 00:00:00.000 0006 VINAYAKA CORPORATION 16 Purchase 2017-07-14 00:00:00.000 0002 SAI MAHESWARA AGENCIES 17 Purchase 2017-07-11 00:00:00.000 0001 SATHYA TRADING CO 18 Purchase 2017-07-15 00:00:00.000 0003 CHELLU ENTERPRISES 19 Purchase 2017-07-15 00:00:00.000 0004 RITHESH TRADERS 20 Purchase 2017-07-16 00:00:00.000 0005 CHELLU ENTERPRISES 21 Purchase 2017-07-21 00:00:00.000 0006 SRI PRAMEELA MARKETINGS 22 Purchase 2017-07-22 00:00:00.000 0007 RITHESH TRADERS 24 Purchase 2017-07-24 00:00:00.000 0008 SATHYA TRADING CO 25 Purchase 2017-07-29 00:00:00.000 0009 CHELLU ENTERPRISES 26 Purchase 2017-07-31 00:00:00.000 0010 CHELLU ENTERPRISES 27 Purchase 2017-07-31 00:00:00.000 0011 RITHESH TRADERS 30 Purchase 2017-07-31 00:00:00.000 0012 SAI MAHESWARA AGENCIES 31 Purchase 2017-08-09 00:00:00.000 0013 CHELLU ENTERPRISES 32 Purchase 2017-08-09 00:00:00.000 0014 CHELLU ENTERPRISES 33 Purchase 2017-08-09 00:00:00.000 0015 CHELLU ENTERPRISES 34 Purchase 2017-08-09 00:00:00.000 0016 CHELLU ENTERPRISES 35 Purchase 2017-08-08 00:00:00.000 0017 SATHYA TRADING CO 36 Purchase 2017-08-12 00:00:00.000 0018 SRI PRAMEELA MARKETINGS 37 Purchase 2017-08-14 00:00:00.000 0019 RITHESH TRADERS 38 Purchase 2017-08-15 00:00:00.000 0020 CHELLU ENTERPRISES 39 Purchase 2017-08-17 00:00:00.000 0021 CHELLU ENTERPRISES 40 Purchase 2017-08-17 00:00:00.000 0022 SATHYA TRADING CO 41 Purchase 2017-08-21 00:00:00.000 0023 CHELLU ENTERPRISES 42 Purchase 2017-08-28 00:00:00.000 0024 SATHYA TRADING CO 43 Purchase 2017-08-29 00:00:00.000 0025 CHELLU ENTERPRISES 45 Purchase 2017-08-31 00:00:00.000 0027 SAI MAHESWARA AGENCIES 46 Purchase 2017-08-31 00:00:00.000 0028 SRI VINAYAKA AGENCIES 47 Purchase 2017-08-31 00:00:00.000 0026 RITHESH TRADERS 48 Purchase 2017-09-11 00:00:00.000 0027 SATHYA TRADING CO 49 Purchase 2017-09-14 00:00:00.000 0028 RITHESH TRADERS 50 Purchase 2017-09-15 00:00:00.000 0029 RITHESH TRADERS 51 Purchase 2017-09-06 00:00:00.000 0030 SRI PRAMEELA MARKETINGS 52 Purchase 2017-09-08 00:00:00.000 0031 MOKSHITHA ENTERPRISES 53 Purchase 2017-09-09 00:00:00.000 0032 SAI MAHESWARA AGENCIES 54 Purchase 2017-09-09 00:00:00.000 0033 SRI VINAYAKA AGENCIES 55 Purchase 2017-09-15 00:00:00.000 0034 CHELLU ENTERPRISES 56 Purchase 2017-09-15 00:00:00.000 0035 CHELLU ENTERPRISES 58 Purchase 2017-09-29 00:00:00.000 0036 SATHYA TRADING CO 59 Purchase 2017-09-22 00:00:00.000 0037 CHELLU ENTERPRISES 60 Purchase 2017-09-22 00:00:00.000 0038 RITHESH TRADERS 61 Purchase 2017-09-28 00:00:00.000 0039 CHELLU ENTERPRISES 62 Purchase 2017-09-28 00:00:00.000 0040 RITHESH TRADERS 63 Purchase 2017-09-28 00:00:00.000 0041 RITHESH TRADERS 64 Purchase 2017-09-29 00:00:00.000 0042 SATHYA TRADING CO 65 Purchase 2017-10-09 00:00:00.000 0043 SRI VINAYAKA AGENCIES 66 Purchase 2017-10-10 00:00:00.000 0044 CHELLU ENTERPRISES 67 Purchase 2017-10-11 00:00:00.000 0045 MOKSHITHA ENTERPRISES 68 Purchase 2017-10-14 00:00:00.000 0046 SATHYA TRADING CO 69 Purchase 2017-10-14 00:00:00.000 0047 RITHESH TRADERS 72 Purchase 2017-10-23 00:00:00.000 0048 CHELLU ENTERPRISES 73 Purchase 2017-10-23 00:00:00.000 0049 CHELLU ENTERPRISES 74 Purchase 2017-10-23 00:00:00.000 0050 CHELLU ENTERPRISES
SALEREPORT
ID VOUCHERTYPE VOUCHERDATE VOUCHERNO PARTY 4 Sale 2017-10-02 00:00:00.000 0212 SAI MEDICALS 6 HOLD 2017-10-03 00:00:00.000 0214 VAMSI KRISHNA SUPER BAZAAR 7 Sale 2017-10-03 00:00:00.000 0215 ADS SUPER BAZAAR 9 Sale 2017-10-04 00:00:00.000 0217 SRI BALAJI GENARAL STORES 10 Sale 2017-10-04 00:00:00.000 0218 NEW SS BEKERY 11 Sale 2017-10-04 00:00:00.000 0219 KANYAKA PARAMESWARI STORES 12 Sale 2017-10-05 00:00:00.000 0220 VASAVI STORES 13 Sale 2017-10-05 00:00:00.000 0221 NAVEEN 14 Sale 2017-10-05 00:00:00.000 0222 SRI HARI MEDICALS 15 Sale 2017-10-05 00:00:00.000 0223 JAKKAM SHOPPING CORNER 16 Sale 2017-10-05 00:00:00.000 0224 C NARESH 19 Sale 2017-10-05 00:00:00.000 0225 K R C SONS STORES 20 Sale 2017-10-05 00:00:00.000 0226 SREEDHAR TRADERS 21 Sale 2017-10-06 00:00:00.000 0227 B V SHANMUGAM 22 Sale 2017-10-06 00:00:00.000 0228 NEW VENKATESWARA SWEETS 23 Sale 2017-10-07 00:00:00.000 0229 VIJAYA MEDICAL&GENARAL STORES 24 Sale 2017-10-07 00:00:00.000 0230 LANCHIPALLI MALLAINAIDU 25 Sale 2017-10-07 00:00:00.000 0231 NEW VENKATADRI SWEETS&COOL DRINKS 27 Sale 2017-10-08 00:00:00.000 0232 LANCHIPALLI MALLAINAIDU 28 Sale 2017-10-08 00:00:00.000 0233 J.BALASUBRAMANYAM 29 Sale 2017-10-08 00:00:00.000 0234 RAJESWARI GENARAL STORES 30 Sale 2017-10-08 00:00:00.000 0235 M/S SRI SAI PROVISINAL&DIGNITY STORES 31 Sale 2017-10-08 00:00:00.000 0236 B V SUBRAMANYAM 32 Sale 2017-10-09 00:00:00.000 0237 K. MADHUSUDAHANA,KUPPAM 33 Sale 2017-10-09 00:00:00.000 0238 JK SUPER BAZAAR 34 Sale 2017-10-09 00:00:00.000 0239 NEW LAKSHMI PROVISION STORES 35 Sale 2017-10-03 00:00:00.000 0213 RAJU 36 Sale 2017-10-04 00:00:00.000 0216 BALAJI 42 Sale 2017-11-03 00:00:00.000 0293 LAKSHMI SUPER BAZAAR 43 Sale 2017-11-03 00:00:00.000 0292 SREEDHAR TRADERS 44 Sale 2017-11-02 00:00:00.000 0291 M/S R S PANDURANGA GENARAL MARCHANT 45 Sale 2017-11-02 00:00:00.000 0290 SREEDHAR TRADERS 47 Sale 2017-11-04 00:00:00.000 0294 SRI MURUGAN AGENCY&GENARAL STORES 49 Sale 2017-11-04 00:00:00.000 0295 SRI HARI MEDICALS 50 Sale 2017-11-05 00:00:00.000 0296 M/S SRI SAI PROVISINAL&DIGNITY STORES 52 Sale 2017-11-05 00:00:00.000 0297 LAKSHMI SUPER BAZAAR 53 Sale 2017-11-05 00:00:00.000 0298 VAMSI KRISHNA SUPER BAZAAR 54 Sale 2017-10-02 00:00:00.000 0210 KA SUPER BAZAAR 55 Sale 2017-10-02 00:00:00.000 0211 SRI MURUGAN AGENCY&GENARAL STORES
我尝试运行查询：
select
dp.ITEMNAME,dp.BARCODE,
(CAST(dp.QUANTITY AS numeric(18,2))) ,
ds.BARCODE,
(CAST(ds.QTY AS numeric(18,2))) as [ClosingStock]
from [iBillDB].[dbo].detailpurchases as dp
join [iBillDB].[dbo].purchasereport as pr on dp.BARCODE=pr.voucherno
join [iBillDB].[dbo].detailsale as ds on ds.ITEMN=dp.ITEMN
join [iBillDB].[dbo].salesreport as sr on ds.BARCODE=sr.voucherno
where ds.T='R'
and dp.ITEMN='106'
group by dp.ITEMNAME,dp.QUANTITY,ds.QTY,dp.BARCODE,ds.BARCODE;
我得到的结果如下：
ITEMNAME BARCODE cs BARCODE ClosingStock 5STAR 10.1G 5/- 0025 108.00 0225 1.00 5STAR 10.1G 5/- 0025 108.00 0227 1.00 5STAR 10.1G 5/- 0070 108.00 0225 1.00 5STAR 10.1G 5/- 0070 108.00 0227 1.00 5STAR 10.1G 5/- 0025 108.00 0218 18.00 5STAR 10.1G 5/- 0025 108.00 0291 18.00 5STAR 10.1G 5/- 0070 108.00 0218 18.00 5STAR 10.1G 5/- 0070 108.00 0291 18.00 5STAR 10.1G 5/- 0025 108.00 0214 2.00 5STAR 10.1G 5/- 0025 108.00 0236 2.00 5STAR 10.1G 5/- 0025 108.00 0293 2.00 5STAR 10.1G 5/- 0070 108.00 0214 2.00 5STAR 10.1G 5/- 0070 108.00 0236 2.00 5STAR 10.1G 5/- 0070 108.00 0293 2.00 5STAR 10.1G 5/- 0025 108.00 0232 4.00 5STAR 10.1G 5/- 0070 108.00 0232 4.00 5STAR 10.1G 5/- 0025 108.00 0220 5.00 5STAR 10.1G 5/- 0025 108.00 0231 5.00 5STAR 10.1G 5/- 0025 108.00 0235 5.00 5STAR 10.1G 5/- 0070 108.00 0220 5.00 5STAR 10.1G 5/- 0070 108.00 0231 5.00 5STAR 10.1G 5/- 0070 108.00 0235 5.00 5STAR 10.1G 5/- 0021 144.00 0225 1.00 5STAR 10.1G 5/- 0021 144.00 0227 1.00 5STAR 10.1G 5/- 0021 144.00 0218 18.00 5STAR 10.1G 5/- 0021 144.00 0291 18.00 5STAR 10.1G 5/- 0021 144.00 0214 2.00 5STAR 10.1G 5/- 0021 144.00 0236 2.00 5STAR 10.1G 5/- 0021 144.00 0293 2.00 5STAR 10.1G 5/- 0021 144.00 0232 4.00 5STAR 10.1G 5/- 0021 144.00 0220 5.00 5STAR 10.1G 5/- 0021 144.00 0231 5.00 5STAR 10.1G 5/- 0021 144.00 0235 5.00 5STAR 10.1G 5/- 0039 180.00 0225 1.00 5STAR 10.1G 5/- 0039 180.00 0227 1.00 5STAR 10.1G 5/- 0039 180.00 0218 18.00 5STAR 10.1G 5/- 0039 180.00 0291 18.00 5STAR 10.1G 5/- 0039 180.00 0214 2.00 5STAR 10.1G 5/- 0039 180.00 0236 2.00 5STAR 10.1G 5/- 0039 180.00 0293 2.00 5STAR 10.1G 5/- 0039 180.00 0232 4.00 5STAR 10.1G 5/- 0039 180.00 0220 5.00 5STAR 10.1G 5/- 0039 180.00 0231 5.00 5STAR 10.1G 5/- 0039 180.00 0235 5.00 5STAR 10.1G 5/- 0044 270.00 0225 1.00 5STAR 10.1G 5/- 0044 270.00 0227 1.00 5STAR 10.1G 5/- 0044 270.00 0218 18.00 5STAR 10.1G 5/- 0044 270.00 0291 18.00 5STAR 10.1G 5/- 0044 270.00 0214 2.00 5STAR 10.1G 5/- 0044 270.00 0236 2.00 5STAR 10.1G 5/- 0044 270.00 0293 2.00 5STAR 10.1G 5/- 0044 270.00 0232 4.00 5STAR 10.1G 5/- 0044 270.00 0220 5.00 5STAR 10.1G 5/- 0044 270.00 0231 5.00 5STAR 10.1G 5/- 0044 270.00 0235 5.00 5STAR 10.1G 5/- 0014 4860.00 0225 1.00 5STAR 10.1G 5/- 0014 4860.00 0227 1.00 5STAR 10.1G 5/- 0015 4860.00 0225 1.00 5STAR 10.1G 5/- 0015 4860.00 0227 1.00 5STAR 10.1G 5/- 0014 4860.00 0218 18.00 5STAR 10.1G 5/- 0014 4860.00 0291 18.00 5STAR 10.1G 5/- 0015 4860.00 0218 18.00 5STAR 10.1G 5/- 0015 4860.00 0291 18.00 5STAR 10.1G 5/- 0014 4860.00 0214 2.00 5STAR 10.1G 5/- 0014 4860.00 0236 2.00 5STAR 10.1G 5/- 0014 4860.00 0293 2.00 5STAR 10.1G 5/- 0015 4860.00 0214 2.00 5STAR 10.1G 5/- 0015 4860.00 0236 2.00 5STAR 10.1G 5/- 0015 4860.00 0293 2.00 5STAR 10.1G 5/- 0014 4860.00 0232 4.00 5STAR 10.1G 5/- 0015 4860.00 0232 4.00 5STAR 10.1G 5/- 0014 4860.00 0220 5.00 5STAR 10.1G 5/- 0014 4860.00 0231 5.00 5STAR 10.1G 5/- 0014 4860.00 0235 5.00 5STAR 10.1G 5/- 0015 4860.00 0220 5.00 5STAR 10.1G 5/- 0015 4860.00 0231 5.00 5STAR 10.1G 5/- 0015 4860.00 0235 5.00 5STAR 10.1G 5/- 0009 90.00 0225 1.00 5STAR 10.1G 5/- 0009 90.00 0227 1.00 5STAR 10.1G 5/- 0034 90.00 0225 1.00 5STAR 10.1G 5/- 0034 90.00 0227 1.00 5STAR 10.1G 5/- 0009 90.00 0218 18.00 5STAR 10.1G 5/- 0009 90.00 0291 18.00 5STAR 10.1G 5/- 0034 90.00 0218 18.00 5STAR 10.1G 5/- 0034 90.00 0291 18.00 5STAR 10.1G 5/- 0009 90.00 0214 2.00 5STAR 10.1G 5/- 0009 90.00 0236 2.00 5STAR 10.1G 5/- 0009 90.00 0293 2.00 5STAR 10.1G 5/- 0034 90.00 0214 2.00 5STAR 10.1G 5/- 0034 90.00 0236 2.00 5STAR 10.1G 5/- 0034 90.00 0293 2.00 5STAR 10.1G 5/- 0009 90.00 0232 4.00 5STAR 10.1G 5/- 0034 90.00 0232 4.00 5STAR 10.1G 5/- 0009 90.00 0220 5.00 5STAR 10.1G 5/- 0009 90.00 0231 5.00 5STAR 10.1G 5/- 0009 90.00 0235 5.00 5STAR 10.1G 5/- 0034 90.00 0220 5.00 5STAR 10.1G 5/- 0034 90.00 0231 5.00 5STAR 10.1G 5/- 0034 90.00 0235 5.00
在上面的结果中第二列是BillNo of Purchases，第三列是QTY购买的 第四栏是BillNo of Sales，第五栏是QTY出售
我的评估在这里，而总结值重复两次。
预期结果是： 的 10647
实际结果是： 的 117243
答案 0 :(得分：1)
您通过加入不相关的记录来增加值。 （您将每个购买明细记录与项目中的每个销售明细记录组合在一起。）您希望将购买金额与销售额相加，因此首先汇总，然后加入：
select
coaleasce(p.itemname, s.itemname) as itemname,
coaleasce(p.sum_qty, 0) - coaleasce(s.sum_qty, 0) as closing_stock
from
(
select
itemname,
sum(cast(quantity as numeric(18, 2))) as sum_qty
from detailpurchases
where barcode in (select voucherno from purchasereport where voucherdate between ? and ?)
group by itemname
) p
full outer join
(
select
itemname,
sum(cast(qty as numeric(18, 2))) as sum_qty
from detailsale
where barcode in (select voucherno from salesreport where voucherdate between ? and ?)
and T = 'R'
group by itemname
) s on s.itemname = p.itemname;