how to group by two fileds in datatable in vb.net - mysql

Question

I have a sql statment I get the data from it to the datatable but what I need is filtering the data by dataview and create group y with sum the quantity for each group:
SELECT
FatoraReso as xAcc,
AccName AS xAccName,
FatoraDate AS xDate,
FatoraProduct as xProdID,
ProductName AS xProdName,
FatoraPurPrice as xPrice,
sum(FatoraQuan) as xQuan,
COUNT(FatoraID) AS xCarCount
from tblfatora
INNER JOIN tblaccounts ON tblaccounts.AccID = tblfatora.FatoraReso
INNER JOIN tblproducts ON tblproducts.ProductID = tblfatora.FatoraProduct
GROUP BY xAcc,xDate,xProdID,xPrice
UNION ALL
SELECT
FatoraCustomer as xAcc,
AccName AS xAccName,
FatoraDate AS xDate,
FatoraProduct as xProdID,
ProductName AS xProdName,
FatoraSalePrice as xPrice,
sum(FatoraQuan) as xQuan,
COUNT(FatoraID) AS xCarCount
from tblfatora
INNER JOIN tblaccounts ON tblaccounts.AccID = tblfatora.FatoraCustomer
INNER JOIN tblproducts ON tblproducts.ProductID = tblfatora.FatoraProduct
GROUP BY xAcc,xDate,xProdID,xPrice
ORDER BY xProdID,xPrice
I made a filter by the xAcc and xDate and then I didn't know how to apply group by with get the sum for each group.
I saw some solutions about using The LINQ but really I don't anything about LINQ.
so can help me please.
the final table that I want is:
+---------+--------+-------+-----------+
| xProdID | xPrice | xQuan | xCarCount |
+---------+--------+-------+-----------+
| 1 | 55 | 10 | 2 |
+---------+--------+-------+-----------+
| 1 | 60 | 15 | 1 |
+---------+--------+-------+-----------+
| 2 | 150 | 12 | 3 |
+---------+--------+-------+-----------+
| 2 | 155 | 11 | 2 |
+---------+--------+-------+-----------+
tblfatora:
CREATE TABLE `tblfatora` (
`FatoraID` bigint(20) NOT NULL,
`FatoraRef` bigint(20) NOT NULL,
`FatoraCode` varchar(50) CHARACTER SET utf8 COLLATE utf8_unicode_ci NOT NULL,
`FatoraDate` date NOT NULL,
`FatoraProduct` int(11) NOT NULL,
`FatoraQuan` double NOT NULL DEFAULT '0',
`FatoraReso` int(11) NOT NULL,
`FatoraPurPrice` double NOT NULL DEFAULT '0',
`FatoraPurTotal` double NOT NULL DEFAULT '0',
`FatoraCustomer` int(11) NOT NULL,
`FatoraSalePrice` double NOT NULL DEFAULT '0',
`FatoraDis` double NOT NULL DEFAULT '0',
`FatoraPlus` double NOT NULL DEFAULT '0',
`FatoraSaleTotal` double NOT NULL DEFAULT '0',
`FatoraDriverPayStatus` varchar(10) CHARACTER SET utf8 COLLATE utf8_unicode_ci NOT NULL,
`FatoraDriver` int(11) NOT NULL,
`FatoraCarNo` varchar(50) CHARACTER SET utf8 COLLATE utf8_unicode_ci NOT NULL,
`FatoraDriverCost` double NOT NULL DEFAULT '0',
`FatoraDriverCostTotal1` double NOT NULL DEFAULT '0',
`FatoraDriverCostTotal2` double NOT NULL DEFAULT '0',
`FatoraDriverPrice` double NOT NULL DEFAULT '0',
`FatoraDetails1` varchar(100) CHARACTER SET utf8 COLLATE utf8_unicode_ci DEFAULT NULL,
`FatoraDetails2` varchar(100) CHARACTER SET utf8 COLLATE utf8_unicode_ci DEFAULT NULL,
`FatoraDetails3` varchar(100) CHARACTER SET utf8 COLLATE utf8_unicode_ci DEFAULT NULL,
`FatoraPalletQuan` double NOT NULL DEFAULT '0',
`FatoraPalletPrice` double NOT NULL DEFAULT '0'
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci ROW_FORMAT=COMPACT;
tblFatoraData:
INSERT INTO `tblfatora` (`FatoraID`, `FatoraRef`, `FatoraCode`, `FatoraDate`,
`FatoraProduct`, `FatoraQuan`, `FatoraReso`, `FatoraPurPrice`,
`FatoraPurTotal`, `FatoraCustomer`, `FatoraSalePrice`, `FatoraDis`,
`FatoraPlus`, `FatoraSaleTotal`, `FatoraDriverPayStatus`, `FatoraDriver`,
`FatoraCarNo`, `FatoraDriverCost`, `FatoraDriverCostTotal1`,
`FatoraDriverCostTotal2`, `Fato`raDriverPrice`, `FatoraDetails1`,
`FatoraDetails2`, `FatoraDetails3`, `FatoraPalletQuan`, `FatoraPalletPrice`)
VALUES
(1, 202010180304112, '', '2020-10-01', 41, 31, 112, 71, 2201, 93, 71, 0, 0,
2201, 'Paid', 128, '135538', 0, 0, 0, 1, '', '', '', 0, 0),
(2, 202010180720343, '', '2020-10-01', 43, 40, 112, 61, 2440, 83, 68000, 0,
0, 2720000, 'Paid', 129, '', 0, 0, 0, 1, '', '', '', 0, 0),
(3, 202010180807273, '', '2020-10-01', 43, 34, 112, 61, 2074, 341, 72000, 0,
0, 2448000, 'Paid', 130, '8142', 0, 0, 0, 1, '', '', '', 0, 0),
(4, 202010180819273, '', '2020-10-01', 50, 40, 114, 70, 2800, 76, 70, 0, 0,
2800, 'Paid', 131, '', 0, 0, 0, 1250, '', '', '', 0, 0),
(5, 202010180821373, '', '2020-10-01', 55, 39.22, 114, 66, 2588.52, 55, 66,
0, 0, 2588.52, 'Paid', 132, '', 0, 0, 0, 1250, '', '', '', 0, 0),
(6, 202010180823183, '', '2020-10-01', 50, 38, 114, 70, 2660, 360, 70, 0, 0,
2660, 'Paid', 133, '', 0, 0, 0, 1, '', '', '', 0, 0),
(7, 202010180825173, '', '2020-10-01', 50, 39, 114, 70, 2730, 67, 64, 0, 14,
2510, 'Paid', 134, '', 0, 0, 0, 1250, '', '', '', 0, 0),
(8, 202010180832333, '', '2020-10-02', 48, 31, 113, 63, 1953, 64, 56, 0, 0,
1736, 'Paid', 135, '', 0, 0, 0, 1240, '', '', '', 0, 0),
(9, 202010180833593, '', '2020-10-01', 48, 35, 113, 63, 2205, 82, 63, 0, 0,
2205,
'Paid', 136, '', 0, 0, 0, 1, '', '1', '', 0, 0),
(10, 202010180838003, '', '2020-10-01', 35, 35.46, 115, 57, 2021.22, 53, 56,
0, 0, 1985.76, 'Paid', 137, '135280', 0, 0, 0, 1240, '', '', '', 0, 0),
(11, 202010180841213, '', '2020-10-02', 43, 33, 112, 61, 2013, 79, 58, 0, 0,
1914, 'Paid', 138, '', 0, 0, 0, 1240, '', '', '', 0, 0),
(12, 202010180843373, '', '2020-10-02', 43, 39, 112, 61, 2379, 84, 70000, 0,
0, 2730000, 'Paid', 139, '10978', 0, 0, 0, 1, '', '', '', 0, 0),
(13, 202010180846253, '', '2020-10-02', 43, 39, 112, 61, 2379, 225, 56, 0, 0,
2184, 'Paid', 140, '9705', 0, 0, 0, 1240, '', '', '', 0, 0),
(14, 202010180847593, '', '2020-10-02', 43, 40, 112, 61, 2440, 344, 61, 0, 0,
2440, 'Paid', 141, '97464', 0, 0, 0, 1, '', '', '', 0, 0),
(15, 202010180849563, '', '2020-10-02', 43, 36, 112, 61, 2196, 73, 57, 0, 0,
2052, 'Paid', 142, '', 0, 0, 0, 1240, '', '', '', 0, 0),
(16, 202010180852113, '', '2020-10-02', 43, 39, 112, 61, 2379, 357, 61, 0, 0,
2379, 'Paid', 143, '151957', 0, 0, 0, 1, '', '', '', 0, 0)

Answer 1

You can use every Query as basis (subquery) too do more calculations
SELECT
xProdID,
xPrice,
xProdName,
SUM(xQuan) AS xQuan,
SUM(xCarCount) AS xCarCount
FROM (SELECT
FatoraReso AS xAcc,
AccName AS xAccName,
FatoraDate AS xDate,
FatoraProduct AS xProdID,
ProductName AS xProdName,
FatoraPurPrice AS xPrice,
SUM(FatoraQuan) AS xQuan,
COUNT(FatoraID) AS xCarCount
FROM
tblfatora
INNER JOIN
tblaccounts ON tblaccounts.AccID = tblfatora.FatoraReso
INNER JOIN
tblproducts ON tblproducts.ProductID = tblfatora.FatoraProduct
GROUP BY xAcc , xDate , xProdID , xPrice
UNION ALL SELECT
FatoraCustomer AS xAcc,
AccName AS xAccName,
FatoraDate AS xDate,
FatoraProduct AS xProdID,
ProductName AS xProdName,
FatoraSalePrice AS xPrice,
SUM(FatoraQuan) AS xQuan,
COUNT(FatoraID) AS xCarCount
FROM
tblfatora
INNER JOIN
tblaccounts ON tblaccounts.AccID = tblfatora.FatoraCustomer
INNER JOIN
tblproducts ON tblproducts.ProductID = tblfatora.FatoraProduct
GROUP BY xAcc , xDate , xProdID , xPrice) t1
GROUP BY
xProdID , xPrice
ORDER BY xProdID , xPrice
As i wrote in my comment.
''Isee two possibility to get only the dates for one or more date.
The selection depends whetger you have a fast connection and a fast server.
Solution 1;:
You get all data into a table and have a dataview t filter your wanted dates.
then have a Sub which sums up the data according to xProdID , xPrice.
That is suitable if you a slow connection or a slow database server, so that the computer does it all on client side.
Solution 2
You send to the server a new SELECT as posted abouve only you add a where clause which only selects the appropriate dates before the final GROUP BY and SUM.
this works just fine, when all is quite fast.
The aggregation functions lose data, because it has only the max date, this may be enugh, but i don#t believe that it will suffice