I want to get the results of these two queries together but can't figure out how to combine them. The goal is to get the total sales per month by product. I have instore purchases and online orders. Here is the first query to get the total sales per month from online orders:
SELECT YEAR( orderDate ) AS "SalesYear"
, MONTH( orderDate ) AS "SalesMonth"
, SUM( orderTotal ) AS "TotalSales"
, products.productID
FROM orders
INNER JOIN orderdetails ON orders.orderID = orderDetails.orderID
INNER JOIN products ON orderDetails.productID = products.productID
GROUP BY productID, YEAR( orderDate ) , MONTH( orderDate )
ORDER BY YEAR( orderDate ) , MONTH( orderDate )
Here is the query that retrieves total sales per month by product from in store purchases:
SELECT YEAR( orderDate ) AS "SalesYear"
, MONTH( orderDate ) AS "SalesMonth"
, SUM( orderTotal ) AS "TotalSales"
, products.productID
FROM in_storepurchase
INNER JOIN instorepurchasedetails
ON in_storepurchase.isPurchaseID = instorepurchasedetails.isPurchaseID
INNER JOIN products
ON instorepurchasedetails.productID = products.productID
GROUP BY productID, YEAR( orderDate ) , MONTH( orderDate )
ORDER BY YEAR( orderDate ) , MONTH( orderDate )
Any help on how I could get this into one query so I can get all the results on a single table would be appreciated.
Of course, you can use UNION:
SELECT
YEAR( t.orderDate ) AS "SalesYear", MONTH( t.orderDate ) AS "SalesMonth", SUM( t.orderTotal ) AS "TotalSales", productID
FROM
(
select 1
UNION ALL
select 2
) as t
GROUP BY
t.productID, YEAR( t.orderDate ) , MONTH( t.orderDate )
Related
I need to get a table that contains the most popular product sold per day. All data is stored in Magento, and I use MySQL to write the query. The only table I need is Sales_flat_order_item table.
The final table should have 3 columns: Date, Product SKU, and number of units sold of the most popular product that day - MaxQty.
I came up with the query that works for me, but I would like to know how it can be improved since I use the same subquery twice in my code:
1 Select Date, Product Id, Sku, and Quantity from sales_flat_order_item - Subquery1
2 Select Date and Maximum Quantity from Subquery1 - Subquery2
3 Join them together knowing that dates should be the same, and Quantity from Subquery1 should be equal to Maximum Quantity from Subquery2
SELECT DATE( sq2.created_at ) AS CreatedAt, sq0.sku AS SKU, sq2.MaxQty
FROM (
SELECT created_at, product_id, sku, SUM( qty_ordered ) AS qty
FROM `sales_flat_order_item`
GROUP BY DATE( created_at ) , product_id
) AS sq0
JOIN (
SELECT sq.created_at, MAX( sq.qty ) AS MaxQty
FROM (
SELECT created_at, product_id, SUM( qty_ordered ) AS qty
FROM `sales_flat_order_item`
GROUP BY DATE( created_at ) , product_id
) AS sq
GROUP BY DATE( sq.created_at )
) AS sq2 ON DATE( sq2.created_at ) = DATE( sq0.created_at )
AND sq2.MaxQty = sq0.qty
GROUP BY DATE( CreatedAt )
I believe this should do what you want.
I added a WHERE clause to run it only for this month, in case you have a huge database so it should not take much time.
SELECT day, sku, MAX(qty_total) AS qty FROM (
SELECT DATE(created_at) AS day, sku, SUM(qty_ordered) AS qty_total
FROM `sales_flat_order_item`
WHERE created_at > '2015-07%'
GROUP BY sku, day
ORDER BY qty_total DESC
) AS item_count
GROUP BY day
I am trying to get the total of all orders of each seller per year, month, and day using this sql. I am still wrapping my head around joins, but from what I know i thought this should work
SELECT sellers.username, sellers.registerDate, sellers.sellerid,
orders.orderPrice, orders.orderDate, orders.sellerid,
count(orders.orderPrice) AS products, SUM( orders.orderPrice ) AS total,
FROM `sellers`
JOIN
`orders`,
(SELECT SUM( orders.orderPrice ) FROM `orders` WHERE YEAR( orderDate ) = YEAR( CURDATE( ) ) ) AS year,
(SELECT SUM( orders.orderPrice ) FROM `orders` WHERE MONTH( orderDate ) = MONTH( CURDATE( ) ) ) AS month,
(SELECT SUM( orders.orderPrice ) FROM `orders` WHERE orderDate = CURDATE() ) AS day
ON orders.sellerid = sellers.sellerid
GROUP BY sellers.username
HAVING total > 0
ORDER BY total desc
LIMIT 0 , 4
But it gives me an error (#1064 - near 'ON orders.sellerid = sellers.sellerid GROUP BY sellers.username HAVING' at line 9)
You need to set ON clause on every join table not only the lastone.
Regards
JOIN
`orders` ON ??? = ???,
(SELECT SUM( orders.orderPrice ) FROM `orders` WHERE YEAR( orderDate ) = YEAR( CURDATE( ) ) ) AS year ON orders.sellerid = sellers.sellerid,
(SELECT SUM( orders.orderPrice ) FROM `orders` WHERE MONTH( orderDate ) = MONTH( CURDATE( ) ) ) AS month ON orders.sellerid = sellers.sellerid,
(SELECT SUM( orders.orderPrice ) FROM `orders` WHERE orderDate = CURDATE() ) AS day
ON orders.sellerid = sellers.sellerid
I have a query A that results in :
orders | date_added
10 | 2013-01-09
24 | 2013-01-10
13 | 2013-01-11
I want to get the max number of orders with the corresponding date ..
Here's my query so far
SELECT MAX( orders )
FROM (
SELECT COUNT( order_id ) AS orders, DATE( date_added ) FROM `order`
WHERE YEAR(date_added) = YEAR( NOW( ) )
GROUP BY DATE( date_added )
) AS daily_orders"
I think this will solve this
SELECT COUNT( order_id ) AS orders, DATE( date_added ) FROM `order`
WHERE YEAR(date_added) = YEAR( NOW( ) )
GROUP BY DATE( date_added )
ORDER BY orders DESC LIMIT 1
I'm trying to get different Sums for same month on same Year, just to get sums by different types. Tried using this code:
SELECT a.invoice_type, year( a.date ) AS Year,
date_format( a.date, '%M' ) AS `month` ,
Sum( x.amount * x.price ) AS sum FROM records x
JOIN paper_invoice a ON x.invoice_id = a.invoice_id
WHERE year( a.date ) = '2012'
GROUP BY a.invoice_type, Year( a.date ) , Month( a.date ) LIMIT 0 , 30
but it gives results in different rows:
http://www.part.lt/img/1505f0f13172922150febede85ddbf0925.png
But I need it to look like:
Year | Month | SUM_GRYNAIS | SUM_PAVEDIMU
2012 | January | 7597.14997705445 | 58740.2800849304
and ETC.
Try this:
SELECT Year, Month,
MAX(CASE WHEN invoice_type = 'GRYNAIS' THEN sum END) As Sum_GRYNAIS
MAX(CASE WHEN invoice_type = 'PAVEDIMU' THEN sum END) As SUM_PAVEDIMU
FROM
(
SELECT a.invoice_type, year( a.date ) AS Year,
date_format( a.date, '%M' ) AS `month` , Sum( x.amount * x.price ) AS sum
FROM records x JOIN paper_invoice a ON x.invoice_id = a.invoice_id
WHERE year( a.date ) = '2012' GROUP BY a.invoice_type, Year( a.date ) ,
Month( a.date ) LIMIT 0 , 30
)
GROUP BY Year, Month
Because each month has a different value. Try Group By on just the field year.
You are basically looking for PIVOT. MySql doesn't have a PIVOT function but you can still accomplish this. Here is an example of a PIVOT in MySql:
http://www.artfulsoftware.com/infotree/queries.php#78
I have a query like below:
Result gives #sold_count:=SUM(I.quantity) = 10, but #sold_count = 0,
so calculations are all 0.
What should be wrong here?
SET #sold_count :=0;
SELECT
#sold_count:=SUM(I.quantity),
#sold_count,I.from_widget,COUNT(from_widget) as order_count,
(#sold_count * buy_price) as ciro,
(#sold_count * list_price) as liste_ciro,
(#sold_count * widget_price) as vitrin_ciro,
P.*
FROM
tbl_products P
LEFT JOIN tbl_order_items I on I.product_id = P.id
WHERE
P.publish_date BETWEEN DATE_SUB( CURDATE( ) ,INTERVAL 3 MONTH ) AND DATE_SUB( CURDATE( ) ,INTERVAL 0 MONTH )
GROUP BY I.from_widget,I.product_id
ORDER BY publish_date DESC
Don't use variables. Just:
SELECT
SUM(I.quantity),
I.from_widget,
COUNT(from_widget) AS order_count,
SUM(I.quantity) * buy_price AS ciro,
SUM(I.quantity) * list_price AS liste_ciro,
SUM(I.quantity) * widget_price AS vitrin_ciro,
P.*
FROM
tbl_products P
LEFT JOIN tbl_order_items I
ON I.product_id = P.id
WHERE
P.publish_date BETWEEN DATE_SUB( CURDATE( ) , INTERVAL 3 MONTH )
AND DATE_SUB( CURDATE( ) , INTERVAL 0 MONTH )
GROUP BY I.from_widget,
I.product_id
ORDER BY publish_date DESC ;
You could also make the query a nested one, if you don't like using SUM(quantity) many times:
SELECT
sum_quantity * buy_price AS ciro,
sum_quantity * list_price AS liste_ciro,
sum_quantity * widget_price AS vitrin_ciro,
tmp.*
FROM
( SELECT
SUM(I.quantity) AS sum_quantity,
I.from_widget,
COUNT(from_widget) AS order_count,
buy_price,
list_price,
widget_price,
P.*
FROM
tbl_products P
LEFT JOIN tbl_order_items I
ON I.product_id = P.id
WHERE
P.publish_date BETWEEN DATE_SUB( CURDATE( ) , INTERVAL 3 MONTH )
AND DATE_SUB( CURDATE( ) , INTERVAL 0 MONTH )
GROUP BY I.from_widget,
I.product_id
) AS tmp
ORDER BY publish_date DESC ;