I need to get weight of order, so I need to sum my results
This table looks like this
SalesOrderID SalesOrderDetailID SubTotal CompanyName Weight
------------ ------------------ --------------------- -------------------------------------------------------------------------------------------------------------------------------- ---------------------------------------
71774 110562 880,3484 Good Toys 1061.40
71774 110563 880,3484 Good Toys 988.83
71776 110567 78,81 West Side Mart 317.00
71780 110616 38418,6895 Nearby Cycle Shop 5098.36
71780 110617 38418,6895 Nearby Cycle Shop 24874.88
71780 110618 38418,6895 Nearby Cycle Shop 78053.76
71780 110619 38418,6895 Nearby Cycle Shop 2431.24
71780 110620 38418,6895 Nearby Cycle Shop 12596.19
The query:
SELECT a.SalesOrderID, c.SalesOrderDetailID, a.SubTotal,b.CompanyName,
(SELECT c.OrderQty*d.Weight WHERE c.SalesOrderID=c.SalesOrderID) AS Weight
FROM SalesLT.SalesOrderHeader as a
INNER JOIN SalesLT.Customer AS b
ON a.CustomerID=b.CustomerID
INNER JOIN SalesLT.SalesOrderDetail AS c
ON c.SalesOrderID=a.SalesOrderID
INNER JOIN SalesLT.Product as d
ON d.ProductID=c.ProductID
I've tried to make sum as sum(case when) but this gets me an error
Is there any other method?
Expected output:
71774 | 880,3484 | Good Toys | 2050,23
2050,23 is a sum of two rows of weight
You can use
WITH TMP_TABLE AS
(
SELECT
a.SalesOrderID,
c.SalesOrderDetailID,
a.SubTotal,
b.CompanyName,
(c.OrderQty * d.Weight) AS Weight
FROM SalesLT.SalesOrderHeader as a
INNER JOIN SalesLT.Customer AS b ON a.CustomerID=b.CustomerID
INNER JOIN SalesLT.SalesOrderDetail AS c ON c.SalesOrderID=a.SalesOrderID
INNER JOIN SalesLT.Product as d ON d.ProductID=c.ProductID
)
SELECT SalesOrderId,
SubTotal,
CompanyName,
SUM(Weight)
FROM TMP_TABLE
GROUP BY SalesOrderId,
SubTotal,
CompanyName
SELECT SalesOrderId,SUM(Weight) SumOfOrderWeights
FROM SalesLT.SalesOrderDetail
GROUP BY SalesOrderId
ORDER BY SalesOrderId
your data
declare #a table(
SalesOrderID INTEGER NOT NULL
,SalesOrderDetailID INTEGER NOT NULL
,SubTotal VARCHAR(60) NOT NULL
,CompanyName VARCHAR(60) NOT NULL
,Weight float NOT NULL
);
INSERT INTO #a
(SalesOrderID,SalesOrderDetailID,SubTotal,CompanyName,Weight) VALUES
(71774,110562,'880,3484','Good Toys',1061.40),
(71774,110563,'880,3484','Good Toys',988.83),
(71776,110567,'78,81','West Side Mart',317.00),
(71780,110616,'38418,6895','Nearby Cycle Shop',5098.36),
(71780,110617,'38418,6895','Nearby Cycle Shop',24874.88),
(71780,110618,'38418,6895','Nearby Cycle Shop',78053.76),
(71780,110619,'38418,6895','Nearby Cycle Shop',2431.24),
(71780,110620,'38418,6895','Nearby Cycle Shop',12596.19);
your query
select SalesOrderID,SubTotal,CompanyName,sum(Weight) Weight from #a
where CompanyName='Good Toys' --removing filter
group by SalesOrderID,SubTotal,CompanyName
Related
I've got 2 tables, one with sales and one with companies:
Sales Table
Transaction_Id Shop_id Sale_date Client_ID
92356 24234 11.09.2018 12356
92345 32121 11.09.2018 32121
94323 24321 11.09.2018 21231
94278 45321 11.09.2018 42123
Company table
Client_ID Company_name
12345 ABC
13322 ABC
32321 BCD
22221 BCD
What I want to achieve is distinct count of Clients from each Company for each pair of shops(Clients who had at least 1 transaction in both of shops) :
Shop_Id_1 Shop_id_2 Company_name Count(distinct Client_id)
12356 12345 ABC 31
12345 14278 ABC 23
14323 12345 BCD 32
14278 12345 BCD 43
I think that I have to use self join, but my queries even with filter for one week is killing DB, any thoughts on that? I'm using Microsoft SQL server 2012.
Thanks
I think this is a self-join and aggregation, with a twist. The twist is that you want to include the company in each sales record, so it can be used in the self-join:
with sc as (
select s.*, c.company_name
from sales s join
companies c
on s.client_id = c.client_id
)
select sc1.shop_id, sc2.shop_id, sc1.company_name, count(distinct sc1.client_id)
from sc sc1 join
sc sc2
on sc1.client_id = sc2.client_id and
sc1.company_name = sc2.company_name
group by sc1.shop_id, sc2.shop_id, sc1.company_name;
I think there are some issues with your question. I interpreted it as such that the company table contains the shop ID's, not the ClienId's.
First you can create a solution to get the shops as rows for each company. Here I chose a maximum of 5 shops per company. Don't forget the semicolon in the previous statement before the cte's.
WITH CTE_Comp AS
(
SELECT *, ROW_NUMBER() OVER (PARTITION BY CompanyName ORDER BY ShopID) AS RowNumb
FROM Company AS C
)
SELECT C1.ShopID,
C2.ShopID AS ShopID_2,
C3.ShopID AS ShopID_3,
C4.ShopID AS ShopID_4,
C5.ShopID AS ShopID_5,
C1.CompanyName
INTO ShopsByCompany
FROM CTE_Comp AS C1
LEFT JOIN CTE_Comp AS C2 ON C1.CompanyName= C2.CompanyName AND RowNumb = 2
LEFT JOIN CTE_Comp AS C2 ON C1.CompanyName= C3.CompanyName AND RowNumb = 3
LEFT JOIN CTE_Comp AS C2 ON C1.CompanyName= C4.CompanyName AND RowNumb = 4
LEFT JOIN CTE_Comp AS C2 ON C1.CompanyName= C5.CompanyName AND RowNumb = 5
WHERE C1.RowNumb = 1
After that, in a few steps, I think you could get the desired result:
WITH ClientsPerShop AS
(
SELECT ShopID,
COUNT (DISTINCT ClientID) AS TotalClients
FROM Sales
GROUP BY ShopID
)
, ClienstsPerCompany AS
(
SELECT CompanyName,
SUM (TotalClients) AS ClientsPerComp
FROM Company AS C
INNER JOIN ClientsPerShop AS CPS ON C.ShopID = CPS.ShopID
GROUP BY CompanyName
)
SELECT *
FROM ClienstsPerCompany AS CPA
INNER JOIN ShopsByCompany AS SBC ON SBC.CompanyName = CPA.CompanyName
Hopefully this will bring you closer to your solution, best of luck!
I have the following 4 tables:
----------
tblDates:
DateID
30/04/2012
01/05/2012
02/05/2012
03/05/2012
----------
tblGroups:
GroupID
Home
Table
----------
tblProducts:
ProductID GroupID
Chair Home
Fork Table
Knife Table
Sofa Home
----------
tblInventory:
DateID ProductID Quantity
01/05/2012 Chair 2
01/05/2012 Sofa 1
01/05/2012 Fork 10
01/05/2012 Knife 10
02/05/2012 Sofa 1
02/05/2012 Chair 3
03/05/2012 Sofa 2
03/05/2012 Chair 3
I am trying to write a query that returns all Dates in tblDates, all GroupIDs in tblGroups and the total Quantity of items in each GroupID.
I manage to do this but only get Sum(Quantity) for GroupID and DateID that are not null. I would like to get 0 instead. For exemple for the data above, I would like to get a line "02/05/2012 Table 0" as there is no data for any product in "Table" group on 01/05/12.
The SQL query I have so far is:
SELECT tblDates.DateID,
tblProducts.GroupID,
Sum(tblInventory.Quantity) AS SumOfQuantity
FROM (tblGroup
INNER JOIN tblProducts ON tblGroup.GroupID = tblProducts.GroupID)
INNER JOIN (tblDates INNER JOIN tblInventory ON tblDates.DateID = tblInventory.DateID) ON tblProducts.ProductID = tblInventory.ProductID
GROUP BY tblDates.DateID, tblProducts.GroupID;
I reckon I should basically have the same Query on a table different from tblInventory that would list all Products instead of listed products with 0 instead of no line but I am hesitant to do so as given the number of Dates and Products in my database, the query might be too slow.
There is probably a better way to achieve this.
Thanks
To get all possible Groups and Dates combinations, you'll have to CROSS JOIN those tables. Then you can LEFT JOIN to the other 2 tables:
SELECT
g.GroupID
, d.DateID
, COALESCE(SUM(i.Quantity), 0) AS Quantity
FROM
tblDates AS d
CROSS JOIN
tblGroups AS g
LEFT JOIN
tblProducts AS p
JOIN
tblInventory AS i
ON i.ProductID = p.ProductID
ON p.GroupID = g.GroupID
AND i.DateID = d.DateID
GROUP BY
g.GroupID
, d.DateID
use the isnull() function. change your query to:
SELECT tblDates.DateID, tblProducts.GroupID,
**ISNULL( Sum(tblInventory.Quantity),0)** AS SumOfQuantity
FROM (tblGroup INNER JOIN tblProducts ON tblGroup.GroupID = tblProducts.GroupID)
INNER JOIN (tblDates INNER JOIN tblInventory ON tblDates.DateID = tblInventory.DateID)
ON tblProducts.ProductID = tblInventory.ProductID
GROUP BY tblDates.DateID, tblProducts.GroupID;
You don't say which database you're using but what I'm familiar with is Oracle.
Obviously, if you inner join all tbales, you will not get the rows containing nulls. If you use an outer join to the inventory table you also have a problem because the groupid column is not listed in tblinventory and you can only outer join to one table.
I'd say you have two choices. Use a function or have a duplicate of the groupid column in the inventory table.
So, a nicer but slower solution:
create or replace
function totalquantity( d date, g varchar2 ) return number as
result number;
begin
select nvl(sum(quantity), 0 )
into result
from tblinventory i, tblproducts p
where i.productid = p.productid
and i.dateid = d
and p.groupid = g;
return result;
end;
select dateid, groupid, totalquantity( dateid, groupid )
from tbldates, tblgroups
Or, if you include the groupid column in the inventory table. (You can still quarantee integrity using constraints)
select d.dateid, i.groupid, nvl(i.quantity, 0)
from tbldates d, tblinventory i
where i.dateid(+) = d.dateid
group by d.dateid, g.groupid
Hope this helps,
Gísli
I am developing an online travel guide with a lot of hotels. Each hotel belongs to a specific category, has a lot room types and each of hotel room has different price per season. I want to make a complex query from 4 tables in order to get the total number of hotels per hotels category where the minimum price of each hotel rooms is between 2 values which are adjusted by a slider.
My tables look like:
Categories
id_category
category_name
Hotels
id_hotel
hotel_name
category_id
......
hotels_room_types
id_hotels_room_type
hotel_id
room_type_id
......
hotels_room_types_seasons
hotels_room_types_id
season_id
price
......
for example some values of category_name are: Hotels, apartments, hostels
I would like my results table to have two fields like the following:
Hotels 32
apartments 0
hostels 5
I tried the following query but it returns the total number of all hotels per category, not the number of hotels where the minimum price of their rooms is between the price range.
SELECT c.category_name, count( DISTINCT id_hotel ) , min( price ) min_price
FROM categories c
LEFT JOIN hotels w ON ( c.id_category = w.category_id )
LEFT JOIN (
hotels_room_types
INNER JOIN hotels_room_types_seasons ON hotels_room_types.id_hotels_room_types = hotels_room_types_seasons.hotels_room_types_id)
ON w.id_hotel = hotels_room_types.hotel_id
GROUP BY c.category_name
HAVING min_price >=10 AND min_price <=130
Could anyone help me how to write the appropriate query?
Thanks!!!
SELECT Categories.Name, COUNT(DISTINCT ID_Hotel) [Count]
FROM Hotels
INNER JOIN Categories
ON Category_ID = ID_Category
INNER JOIN
( SELECT Hotel_ID, MIN(Price) [LowestPrice]
FROM hotels_room_types
INNER JOIN hotels_room_types_seasons
ON id_hotels_room_type = hotels_room_types_id
-- CONSIDER FILTERING BY SEASON HERE
GROUP BY Hotel_ID
) price
ON price.Hotel_ID = Hotels.ID_Hotel
WHERE LowestPrice BETWEEN 10 AND 130 -- OR WHATEVER YOUR PARAMETERS ARE
GROUP BY Categories.Name
I have no idea what RDBMS you are using but I do not know any where your query would work. The problem you were having with the Min Price (I assume) is because you are applying the logic after grouping by category, so you are counting all hotels where the category has a lowest price between 10 and 130, not where the hotel has a room with the lowest price between 10 and 130.
select
c.Category_name,
count(*) NumHotels
from
( select distinct
byRoomType.hotel_id
from
hotels_room_types_seasons bySeason
join hotels_room_types byRoomType
on bySeason.hotels_room_types_id = byRoomType.id_hotels_room_type
where
bySeason.Price between LowPriceParameter and HighPriceParameter
) QualifiedHotels
join Hotels
on QualifiedHotels.hotel_id = Hotels.id_hotel
join Categories c
on category_id = c.id_category
I am trying to retrieve the following information:
For each customer whose average order amount is greater than $1,800, list the customer name, cust# and total number of orders.
my code is currently.
SELECT c.cname, c.`cust#`, COUNT(oi.`order#`)
FROM CUSTOMER c, `ORDER` o, `ORDER_ITEM` oi
WHERE c.`cust#` = o.`cust#`
AND o.`order#` = oi.`order#`
AND AVG(o.`ord_amt`) > 1800
GROUP BY c.cname, c .`cust#`
THE TABLES AND FIELDS TO MY DATABASE
customer(cust#:char(3), cname:varchar(30), city:varchar(20))
order (order# :char(4), odate, cust#:char(3), ord_amt:decimal(10.2))
order_item( order# :char(4), item#: char(4), qty:int(11))
item(item# :char(4), unit_price:decimal(10.2))
shipment(order# :char(4), warehouse# :char(4), ship_date:date)
warehouse (warehouse#: char(4), city:varchar(20))
You should use JOIN notation and a HAVING clause to compare the aggregate; you don't need the order items table:
SELECT c.cname, c.`cust#`, COUNT(oi.`order#`)
FROM CUSTOMER c JOIN `ORDER` o ON c.`cust#` = o.`cust#`
GROUP BY c.cname, c .`cust#`
HAVING AVG(o.`ord_amt`) > 1800
(Order of GROUP BY and HAVING fixed per comment by GolezTrol - thanks; my excuse is that it was late at night.)
Let's say I have a Person table and a Purchases table with a 1 to many relationship. I want to run a single query that returns this person and just their latest purchase. This seems easy but I just can't seem to get it.
select p.*, pp.*
from Person p
left outer join (
select PersonID, max(PurchaseDate) as MaxPurchaseDate
from Purchase
group by PersonID
) ppm
left outer join Purchase pp on ppm.PersonID = pp.PersonID
and ppm.MaxPurchaseDate = pp.PurchaseDate
where p.PersonID = 42
This query will also show the latest purchase for all users if you remove the WHERE clause.
Assuming you have something like a PurchaseDate column and want a particular person (SQL Server):
SELECT TOP 1 P.Name, P.PersonID, C.PurchaseDescription FROM Persons AS P
INNER JOIN Purchases AS C ON C.PersonID = P.PersonID
WHERE P.PersonID = #PersonID
ORDER BY C.PurchaseDate DESC
Many Databases preform the "Limit or Top" command in different ways. Here is a reference http://troels.arvin.dk/db/rdbms/#select-limit and below are a few samples
If using SQL Server
SELECT TOP 1
*
FROM Person p
INNER JOIN Purchases pc on pc.PersonID = P.PersonID
Order BY pc.PurchaseDate DESC
Should work on MySQL
SELECT
*
FROM Person p
INNER JOIN Purchases pc on pc.PersonID = P.PersonID
Order BY pc.PurchaseDate DESC
LIMIT 1
Strictly off the top of my head!...If it's only one record then...
SELECT TOP 1 *
FROM Person p
INNER JOIN Purchases pu
ON p.ID = p.PersonId
ORDER BY pu.OrderDate
WHERE p.ID = *thePersonYouWant*
otherwise...
SELECT TOP 1 *
FROM Person p
INNER JOIN
(
SELECT TOP 1 pu.ID
FROM Purchases pu
ON pu.PersonID = p.Id
ORDER BY pu.OrderDate
) sq
I think! I haven't got access to a SQL box right now to test it on.
Without knowing your structure at all, or your dbms, you would order the results descending by the purchase date/time, and return only the first joined record.
Try TOP 1 With an order by desc on date. Ex:
CREATE TABLE #One
(
id int
)
CREATE TABLE #Many
(
id int,
[date] date,
value int
)
INSERT INTO #One (id)
SELECT 1 UNION ALL
SELECT 2 UNION ALL
SELECT 3
INSERT INTO #Many (id, [date], value)
SELECT 1, GETDATE(), 1 UNION ALL
SELECT 1, DATEADD(DD, 1 ,GETDATE()), 3 UNION ALL
SELECT 1, DATEADD(DD, -1 ,GETDATE()), 0
SELECT TOP 1 *
FROM #One O
JOIN #Many M ON O.id = M.id
ORDER BY [date] DESC
If you want to select the latest purchase for each person, that would be:
SELECT PE.ID, PE.Name, MAx(PU.pucrhaseDate) FROM Persons AS PE JOIN PURCHASE as PU ON PE.ID = PU.Person_ID
If you want to have all persons also those who have no purchases, you need to use LEFT JOIN.
I think you need one more table called Items for example.
The PERSONS table would uniquely define each person and all their attributes, while the ITEMS table would uniquely define each items and their attributes.
Assume the following:
Persons |Purchases |Items
PerID PerName |PurID PurDt PerID ItemID |ItemID ItemDesc ICost
101 Joe Smith |201 101107 101 301 |301 Laptop 500
|202 101107 101 302 |302 Desktop 699
102 Jane Doe |203 101108 102 303 |303 iPod 199
103 Jason Tut |204 101109 101 304 |304 iPad 499
|205 101109 101 305 |305 Printer 99
One Person Parent may tie to none, one or many Purchase Child.
One Item Parent may tie to none, one or many Purchase Child.
One or more Purchases Children will tie to one Person Parent, and one Item Parent.
select per.PerName as Name
, pur.PurDt as Date
, itm.ItemDesc as Item
, itm.ICost as Cost
from Persons per
, Purchases pur
, Items itm
where pur.PerID = per.PerID -- For that Person
and pur.ItemID = itm.ItemID -- and that Item
and pur.PurDt = -- and the purchase date is
( Select max(lst.PurDt) -- the last date
from Purchases lst -- purchases
where lst.PerID = per.PerID ) -- for that person
This should return:
Name Date Item Cost
Joe Smith 101109 Ipad 499
Joe Smith 101109 Printer 99
Jane Doe 101108 iPod 199