I have this table from a query and I would like to find the sum of the Total Cost (after discount). I have searched for a solution but I can't seem to find the one I'm looking for.
Here are the sample data from my tables
Booking
+-----------+-------------+----------+------------+
| vehicleNo | bookingDay | driverNo | acc_status |
+-----------+-------------+----------+------------+
| 10 | 13/06/2021 | 2 | B |
| 10 | 14/06/2021 | 0 | B |
| 10 | 15/06/2021 | 2 | B |
| 20 | 17/06/2021 | 2 | B |
+-----------+-------------+----------+------------+
Vehicle
+-----------+-------------+----------------+------+
| vehicleNo | vehicleReg | make_model | cost |
+-----------+-------------+----------------+------+
| 10 | IN10NGT | Nissan R34 GTR | 90 |
| 20 | IN10MRX | Mazda RX7 | 70 |
| 30 | IN10TSU | Toyota Supra | 80 |
+-----------+-------------+----------------+------+
Here is the query
SELECT IF(COUNT(Vehicle.vehicleNo) > 1, ROUND(Vehicle.cost,1) * ROUND(COUNT(Vehicle.vehicleNo) * 0.9,1), Vehicle.cost * ROUND(COUNT(Vehicle.vehicleNo),1)) AS 'Total after discount'
FROM Booking
INNER JOIN Vehicle
ON Vehicle.vehicleNo = Booking.vehicleNo
WHERE Booking.driverNo = 2
GROUP BY Vehicle.vehicleNo
ORDER BY Vehicle.vehicleNo;
an here is the result
+----------------------+
| Total after discount |
+----------------------+
| 162 |
| 70 |
+----------------------+
and I am expecting to have a table after calculating the sum like this
+----------------------+
| Overall cost |
|after discount |
+----------------------+
| 232 |
+----------------------+
any help is much appreciated.
i have figured it out. i used this query:
SELECT SUM(Cost) FROM (SELECT IF(COUNT(Vehicle.vehicleNo) > 1, ROUND(Vehicle.cost,1) * ROUND(COUNT(Vehicle.vehicleNo) * 0.9,1), Vehicle.cost * ROUND(COUNT(Vehicle.vehicleNo),1)) AS Cost
FROM Vehicle INNER JOIN Booking
ON Vehicle.vehicleNo = Booking.vehicleNo AND Booking.driverNo = 2
GROUP BY Vehicle.vehicleNo) AS x;
Related
I have a table ORDERS with a column named cache_total_price, spent by each client.
+----+-----------+------------+-----------+------------------+
| id | client_id | date | reference | cache_total_price|
+----+-----------+------------+-----------+------------------+
| 1 | 20 | 2019-01-01 | 004214 | 0 |
| 2 | 3 | 2019-01-03 | 007120 | 0 |
| 3 | 11 | 2019-01-04 | 002957 | 0 |
| 4 | 6 | 2019-01-07 | 003425 | 0 |
I have another table ORDERS_REFS where there is the price total spent for each orders id
+-----+-------------+------------+----------+---------------+------------+
| id | order_id | name | quantity | unit_price | total_price|
+-----+-------------+------------+----------+---------------+------------+
| 1 | 1 | Produit 19 | 3 | 49.57 | 148.71 |
| 2 | 1 | Produit 92 | 4 | 81.24 | 324.96 |
| 3 | 1 | Produit 68 | 2 | 17.48 | 34.96 |
| 4 | 2 | Produit 53 | 4 | 83.69 | 334.76 |
| 5 | 2 | Produit 78 | 6 | 5.99 | 35.94 |
I want to had to column cache_total_price the result of my query :
select sum(total_price) from orders_refs group by order_id;
result :
+--------------------+
| sum(total_price) |
+--------------------+
| 508.6299819946289 |
| 370.700008392334 |
| 132.3699951171875 |
| 2090.1800079345703 |
I've tried some queries with Insert into select or update set, but didn't worked :(
If you're wanting to update all the orders at once, in MySQL a subquery like this should do the trick. You could always add a WHERE clause to do one at a time.
UPDATE ORDERS
SET cache_total_price = (
SELECT sum(total_price) from ORDERS_REF where order_id = ORDERS.id
)
update t
set t.cache_total_price=x.sum_total_price
from ORDERS as t
join
(
select order_id,sum(total_price)as sum_total_price
from orders_refs group by order_id
)x on t.id=x.order_id
In SQL Server you can try this one.
The data looks similar to this:
+----+------+-----------+-------+---------+---------+--------+
| ID | Unit | Floorplan | Sq Ft | Name | Amenity | Charge |
+----+------+-----------+-------+---------+---------+--------+
| 1 | 110 | A1 | 750 | Alan | GARAGE | 50 |
| 2 | | | | | RENT | 850 |
| 3 | | | | | PEST | 2 |
| 4 | | | | | TRASH | 15 |
| 5 | | | | | TOTAL | 20 |
| 6 | 111 | A2 | 760 | Bill | STORAGE | 35 |
| 7 | | | | | GARAGE | 50 |
| 8 | | | | | RENT | 850 |
| 9 | | | | | PEST | 2 |
| 10 | | | | | TOTAL | 15 |
| 11 | 112 | A3 | 770 | Charlie | PETRENT | 20 |
| 12 | | | | | STORAGE | 35 |
| 13 | | | | | GARAGE | 50 |
| 14 | | | | | RENT | 850 |
| 15 | | | | | TOTAL | 2 |
+----+------+-----------+-------+---------+---------+--------+
I am new to SQL and trying my best using Microsoft Access, but I need help.
The data needs to look like this:
My first step is to separate the units from the rest with
SELECT * FROM table WHERE Unit <> NULL;
and after that I've usually just hard-input the rest.
My idea was as follows:
INSERT INTO table
VALUES (NULL,NULL,...,'Pest',$2)
FROM table
WHERE NOT EXIST 'Pest' BETWEEN x AND y
/* where x = Total 1 and y = Total 2*/
Am I on the right track? I probably need a loop or a join, but I'm not at that level yet.
You can use a crosstab query, though a bit convoluted it is:
TRANSFORM
Sum(TableUnit.Charge) AS SumOfCharge
SELECT
S.Unit,
S.Floorplan,
S.SqFt,
S.Name,
S.Amenity
FROM
TableUnit,
(SELECT
Q.Id,
Val(DMax("Id","TableUnit","Id<=" & Q.[Id] & " And Unit Is Not Null")) AS ParentId
FROM TableUnit As Q) AS T,
(SELECT
TableUnit.Id,
TableUnit.Unit,
TableUnit.Floorplan,
TableUnit.SqFt,
TableUnit.Name,
TableUnit.Amenity
FROM
TableUnit
WHERE
TableUnit.Unit Is Not Null) AS S
WHERE
TableUnit.Id=[T].[Id]
AND
T.ParentId)=[S].[Id]
GROUP BY
T.ParentId,
S.Unit,
S.Floorplan,
S.SqFt,
S.Name,
S.Amenity
PIVOT
TableUnit.Amenity In
("Garage","Pest","Trash","PetRent","Storage","Rent");
Your test data differs a little from your expected output, so:
My MSAccess is rather rusty, but something like this should work:
SELECT t0.Unit, t0.Floorplan, t0.[Sq Ft], t0.Name, t0.Amenity
, SUM(IIF(tM.Amenity = 'GARAGE', Charge, 0)) AS [Garage]
, SUM(IIF(tM.Amenity = 'PEST', Charge, 0)) AS [Pest]
FROM (
SELECT t1.id AS id0, MIN(t2.id) AS idN
FROM t AS t1
INNER JOIN t AS t2 ON t1.id < t2.id
WHERE t1.Unit <> '' AND t2.Unit <> ''
) AS groups
INNER JOIN t AS t0 ON t0.id = groups.id0
LEFT JOIN t AS tM ON tM.id > groups.id0 AND tm.id < groups.idN
GROUP BY t0.Unit, t0.Floorplan, t0.[Sq Ft], t0.Name, t0.Amenity
;
Though, if I remember correctly, and it hasn't changed in newer versions; you can't have true subqueries and will need to make groups a separate query you can join to as if it were a table/view.
i hope my description will be enough. i tried to remove all non-significant fields.
i have 5 tables (Customer, Invoice, Items, Invoice_Item, Payment):
Customer fields and sample date are:
+----+------+
| ID | Name |
+----+------+
| 1 | John |
| 2 | Mary |
+----+------+
Invoice fields and sample date are:
+----+-----------+----------+------+
| ID | Date | Customer | Tax |
+----+-----------+----------+------+
| 1 | 1.1.2017 | 1 | 0.10 |
| 2 | 2.1.2017 | 2 | 0.10 |
| 3 | 3.1.2017 | 1 | 0.10 |
| 4 | 3.1.2017 | 2 | 0.10 |
| 5 | 8.1.2017 | 1 | 0.10 |
| 6 | 11.1.2017 | 1 | 0.10 |
| 7 | 12.1.2017 | 2 | 0.10 |
| 8 | 13.1.2017 | 1 | 0.10 |
+----+-----------+----------+------+
Item fields and sample data are:
+----+--------+
| ID | Name |
+----+--------+
| 1 | Door |
| 2 | Window |
| 3 | Table |
| 4 | Chair |
+----+--------+
Invoice_Item fields and sample data are:
+------------+---------+--------+------------+
| Invoice_ID | Item_ID | Amount | Unit_Price |
+------------+---------+--------+------------+
| 1 | 1 | 4 | 10 |
| 1 | 2 | 2 | 20 |
| 1 | 3 | 1 | 30 |
| 1 | 4 | 2 | 40 |
| 2 | 1 | 1 | 10 |
| 2 | 3 | 1 | 15 |
| 2 | 4 | 2 | 12 |
| 3 | 3 | 4 | 15 |
| 4 | 1 | 1 | 10 |
| 4 | 2 | 20 | 30 |
| 4 | 3 | 15 | 30 |
| 5 | 1 | 4 | 10 |
| 5 | 2 | 2 | 20 |
| 5 | 3 | 1 | 30 |
| 5 | 4 | 2 | 40 |
| 6 | 1 | 1 | 10 |
| 6 | 3 | 1 | 15 |
| 6 | 4 | 2 | 12 |
| 7 | 3 | 4 | 15 |
| 8 | 1 | 1 | 10 |
| 8 | 2 | 20 | 30 |
| 8 | 3 | 15 | 30 |
+------------+---------+--------+------------+
The reason the price is in this table not in the item table is because it is customer specific price.
Payment fields are:
+----------+--------+-----------+
| Customer | Amount | Date |
+----------+--------+-----------+
| 1 | 40 | 3.1.2017 |
| 2 | 10 | 7.1.2017 |
| 1 | 60 | 10.1.2017 |
+----------+--------+-----------+
so my report should be combine all tables and sort by DATE (either from Invoice or Payment) for a certain customer.
so for e.g. for customer John (1) it should be like:
+------------+----------------+---------+-----------+
| Invoice_ID | Invoice_Amount | Payment | Date |
+------------+----------------+---------+-----------+
| 1 | 171 | - | 1.1.2017 |
| 3 | 54 | - | 3.1.2017 |
| - | - | 40 | 3.1.2017 |
| 5 | 171 | - | 8.1.2017 |
| - | 10 | 60 | 10.1.2017 |
| 6 | 44.1 | - | 11.1.2017 |
| 8 | 954 | - | 13.1.2017 |
+------------+----------------+---------+-----------+
it is sorted by date, Invoice amount is (sum of (Amount* unit price)) * (1-tax)
i started with union but then got lost.
here is my try:
SELECT Inv_ID as Num, SUM(Invoice_Items.II_Price*Invoice_Items.II_Amount) AS Amount, Inv_Date as Created
FROM Invoice INNER JOIN Invoice_Items ON Invoice.Inv_ID = Invoice_Items.II_Inv_ID
UNION ALL
SELECT Null as Num, P_Value as Amount, P_Date as Created
FROM Payments
ORDER BY created ASC
Your help is appreciated!
Thanks
You can generate the report you requested using the following SQL script:
SELECT CustomerID,Invoice_ID,Invoice_Amount,Payment,Date
FROM (
SELECT c.ID AS CustomerID, i.ID AS Invoice_ID, SUM((t.Amount * t.UnitPrice)*(1-i.tax)) AS Invoice_Amount, NULL AS Payment,i.Date
FROM (Customer c
LEFT JOIN Invoice i
ON c.ID = i.Customer)
LEFT JOIN Invoice_Item t
ON i.ID = t.Invoice_ID
GROUP BY c.ID, i.ID,i.Date
UNION
SELECT c.ID AS CustomerID,NULL AS Invoice_ID, NULL AS Invoice_Amount, p.Amount AS Payment, p.Date
FROM Customer c
INNER JOIN Payment p
ON c.ID = p.Customer ) a
ORDER BY CustomerID, Date, Payment ASC
Note: I've added CustomerID to the output so you know what customer the data corresponds to.
here is the Answer which worked for me, a bit corrected from #Catzeye Answer , which didnt show the second part of the Union.
SELECT c.ID AS CustomerID,NULL AS Invoice_ID, NULL AS Invoice_Amount, p.Amount AS Payment, p.Date
FROM Customer c
INNER JOIN Payment p
ON c.ID = p.Customer
UNION ALL
SELECT c.ID AS CustomerID, i.ID AS Invoice_ID, SUM((t.Amount * t.Unit_Price)*(1-i.tax)) AS Invoice_Amount, NULL AS Payment,i.Date
FROM (Customer c
INNER JOIN Invoice i
ON c.ID = i.Customer)
INNER JOIN Invoice_Item t
ON i.ID = t.Invoice_ID
GROUP BY c.ID, i.ID,i.Date
ORDER BY CustomerID, Date, Payment;
I am a newbie to OrientDB. I have a table structure as shown below. I have tried out a lot of queries but still cannot figure out how to implement the following SQL query in OrientDB. I need to join data from 4 different classes. Any help is greatly appreciated.
select Users.Name as uName,
Shops.Name as shopName,
ShopTotalPurchases.Total
from Users, Shops, Purchases,ShopTotalPurchases
where Users.Id=10
and Purchases.UserId=Users.Id
and Purchases.Date="date2"
and ShopTotalPurchases.Date="date2"
and ShopTotalPurchases.ShopId = Shops.Id
> reldb> SELECT * FROM Users;
+----+--------+-------+
| Id | Name | Phone |
+----+----------------+
| 10 | User 1 | 1111 |
+----+----------------+
| 20 | User 2 | 2222 |
+----+----------------+
> reldb> SELECT * FROM Shops;
+----+--------+-------+
| Id | Name | Phone |
+----+----------------+
| 30 | Shop 1 | 1111 |
+----+----------------+
| 40 | Shop 2 | 2222 |
+----+----------------+
> reldb> SELECT * FROM Purchases; [unique per combo of UserId, ShopId and Date]
+----+--------+--------+--------+------+-----------+
| Id | UserId | Item | ShopId | Date | ItemPrice |
+----+--------+-----------------+------+-----------+
| 0 | 10 | First | 30 |date1 | 100 |
+----+--------+--------+--------+------+-----------+
| 1 | 10 | Second | 30 |date2 | 200 |
+----+--------+--------+--------+------+-----------+
| 21 | 10 | Third | 40 |date3 | 300 |
+----+--------+--------+--------+------+-----------+
| 41 | 20 | Fourth | 40 |date4 | 400 |
+----+--------+--------+--------+------+-----------+
| 82 | 20 | Fift | 30 |date5 | 500 |
+----+--------+--------+--------+------+-----------+
> reldb> SELECT * FROM ShopTotalPurchases;
+----+--------+--------+------+
| Id | Total | ShopId | Date |
+----+--------+--------+------+
| 0 | 1000 | 30 |date1 |
+----+--------+--------+------+
| 1 | 2000 | 30 |date2 |
+----+--------+--------+------+
| 21 | 3000 | 40 |date2 |
+----+--------+--------+------+
you can use this query:
select $a.Name as uName, $b.Name as shopName, $c.Total as Total from Purchases
let $a = (select Name from User where Id = 10 and Id in $parent.current.UserId),
$b = (select Name from Shops where Id in $parent.current.ShopId),
$c = (select Total from ShopTotalPurchases where Date = 'date2' and ShopId in $parent.current.ShopId)
where Date = 'date2' unwind uName, shopName, Total
Console output:
----+------+-----+--------+------
# |#CLASS|uName|shopName|Total
----+------+-----+--------+------
0 |null |User1|Shop1 |2000.0
----+------+-----+--------+------
I have 3 tables shown below in MS Access 2010:
Table: devices
id | device_id | Company | Version | Revision |
-----------------------------------------------
1 | dev_a | Almaras | 1.5.1 | 0.2A |
2 | dev_b | Enigma | 1.5.1 | 0.2A |
3 | dev_c | Almaras | 1.5.1 | 0.2C |
*Field: device_id is Primary Key Unique String
*Field ID is just an auto-number column
Table: activities
id | act_id | act_date | act_type | act_note |
------------------------------------------------
1 | dev_a | 07/22/2013 | usb_axc | ok |
2 | dev_a | 07/23/2013 | usb_axe | ok | (LAST ROW for dev_a)
3 | dev_c | 07/22/2013 | usb_axc | ok | (LAST ROW for dev_c)
4 | dev_b | 07/21/2013 | usb_axc | ok | (LAST ROW for dev_b)
*Field: act_id contains device_id; NOT UNIQUE
*Field ID is just an auto-number column
Table: matrix
id | mat_id | tc | ts | bat | cycles |
-----------------------------------------
1 | dev_a | 2811 | 10 | 99 | 200 |
2 | dev_a | 2911 | 10 | 97 | 400 |
3 | dev_a | 3007 | 10 | 94 | 600 |
4 | dev_a | 3210 | 10 | 92 | 800 | (LAST ROW for dev_d)
5 | dev_b | 1100 | 5 | 98 | 100 |
6 | dev_b | 1300 | 8 | 93 | 200 |
7 | dev_b | 1411 | 11 | 90 | 300 | (LAST ROW for dev_b)
8 | dev_c | 4000 | 27 | 77 | 478 | (LAST ROW for dev_c)
*Field: mat_id contains device_id; NOT UNIQUE
*Field ID is just an auto-number column
Is there any way to query tables to get results as shown below (each device from devices and only last row added [see example output table] from each of the other two tables):
Query Results:
device_id | Company | act_date | act_type | bat | cycles |
------------------------------------------------------------
device_a | Almaras | 07/23/2013 | usb_axe | 92 | 800 |
device_b | Enigma | 07/21/2013 | usb_axc | 90 | 300 |
device_c | Almaras | 07/22/2013 | usb_axc | 77 | 478 |
Any ideas? Thank you in advance for reading and helping me out :)
I think is what you want,
SELECT a.device_id, a.Company,
b.act_date, b.act_type,
c.bat, c.cycles
FROM ((((devices AS a
INNER JOIN activities AS b
ON a.device_id = b.act_id)
INNER JOIN matrix AS c
ON a.device_id = c.mat_id)
INNER JOIN
(
SELECT act_id, MAX(act_date) AS max_date
FROM activities
GROUP BY act_id
) AS d ON b.act_id = d.act_id AND b.act_date = d.max_date)
INNER JOIN
(
SELECT mat_id, MAX(tc) AS max_tc
FROM matrix
GROUP BY mat_id
) AS e ON c.mat_id = e.mat_id AND c.tc = e.max_tc)
The subqueries: d and e separately gets the latest row for every act_id.
Try
SELECT devices.device_id, devices.Company, activities.act_data, activities.act_type, matrix.bat, matrix.cycles
FROM devices
LEFT JOIN activities
ON devices.device_id = activities.act_id
LEFT JOIN matrix
ON devices.device_id = matrix.mat_id;
What do you consider the "last" row in Matrix?
You need to do something like
WHERE act_date in (SELECT max(a.act_date) from activities a where a.mat_id=d.device_id GROUP BY a.mat_id)
and something similar for the join to matrix.