I have 2 table that join together ( Orders and Order_item)
When I use join I get duplicates records then I eliminate them with DISTINCT, but when I want to get sum the the shipping_price DISTINCT not works because it just eliminate the same price value and I all my prices are same I get 1 not sum !
If I don't use DISTINCT , I get rows per each items in order
SELECT sum(DISTINCT shipping_price) FROM `product_order`
INNER JOIN `product_address`
ON `product_order`.`address_id` = `product_address`.`id`
INNER JOIN `product_item`
ON `product_order`.`id` = `product_item`.`order_id`
WHERE (`status`<>2)
AND (`company_id`=1968)
AND DATE(date)='2021-08-31'
ORDER BY `product_order`.`id` DESC
how to get sum of shipping price correctly ..
data in order_table is
id shipping_price status
100
200
200
100
sum = 600 , but how to get it, if I did't DISTINCT, I get more than one row per order_items row counts that join tho order..
Use a subquery to get your shipping prices. Something like this:
SELECT product_order.id,
SUM(product_item.price * product_item.quantity) shipping_price
FROM product_order
JOIN product_item ON product_order.id = product_item.order_id
GROUP BY product_order.id
The trick here is to get a subquery that delivers exactly one row per order, with the summed-up shipping priced in it. Do your SUM() ... GROUP BY ...` in the subquery. That way you'll avoid any duplication of items.
TEST THIS before you proceed to make sure it works: giving each order id and its shipping price.
Then use it as if it were a table, JOINing it to the rest.
SELECT total.shipping_price,
product_order.id,
product_address.*
FROM product_order
JOIN product_address
ON product_order.id = product_address.order_id
JOIN (
SELECT product_order.id,
SUM(product_item.price * product_item.quantity) shipping_price
FROM product_order
JOIN product_item ON product_order.id = product_item.order_id
GROUP BY product_order.id
) total ON product_order.id = total.id
ORDER BY product_order.id = total.id
Use a subquery instead of a join.
SELECT (
select sum(shipping_price)
FROM product_item
WHERE po.`id` = `product_item`.`order_id`
) as shipping_price
FROM `product_order` po
INNER JOIN `product_address`
ON `product_order`.`address_id` = `product_address`.`id`
WHERE (`status`<>2)
AND (`company_id`=1968)
AND DATE(date)='2021-08-31'
ORDER BY `product_order`.`id` DESC
Related
I'm trying to fetch the lowest price per day per hotel, I get multiple results.
I first try to fetch the lowest amount with the MIN() function, then inner join.
When i later try to group by outside the subquery, it just groups by the lowest id.
The SQL itself:
SELECT mt.id, mt.amount, mt.fk_hotel, mt.start_date
FROM price mt
INNER JOIN
(
SELECT price.id, MIN(price.amount) minAmount
FROM price
WHERE 1=1 AND price.start_date >= '2014-10-08' AND price.start_date <= '2014-10-10' AND price.active = 1 AND price.max_people = 2
GROUP BY id
) t
ON mt.id = t.id AND mt.amount = t.minAmount
ORDER BY mt.fk_hotel, mt.amount;
And the results looks like this:
http://jsfiddle.net/63mg3b2j/
I want to group by the start date and fk_hotel so that it groups by the lowest amount value, can anybody help me? Am I being clear?
Edit: I also need a field fk_room from the corresponding row, so i can inner join
Try this:
SELECT MIN(mt.amount) AS min_amount, mt.fk_hotel, mt.start_date
FROM price mt
WHERE
mt.active = 1 AND
mt.max_people = 2 AND
mt.start_date >= '2014-10-08' AND mt.start_date <= '2014-10-10'
GROUP BY mt.fk_hotel, mt.start_date
ORDER BY mt.fk_hotel, min_amount;
Well first of all get a table with minimum value in top row using ORDER BY and then GROUP BY for your required result
SELECT mt.id, mt.amount, mt.fk_hotel, mt.start_date
FROM
(SELECT id, amount, fk_hotel, start_date
FROM price
WHERE start_date >= '2014-10-08' AND start_date <= '2014-10-10'
AND active = 1 AND max_people = 2
ORDER BY amount DESC) AS mt
GROUP BY mt.id
Well I had to still go with a subquery, cause i needed some additional foreign key fields from the corresponding row to inner join some other stuff. It isn't a great solution, cause it fetches too much stuff, the rest is filtered out programmatically.
The most annoying thing here, when I try to use MIN() or MAX() function and get the appropriate fields to that row, it fetches the first results from the DB, which are incorrect and so i have to use a subquery to inner join to get the other fields, I can use grouping, but I had too many fields to group. Maybe I'm missing something. The amount of data doesn't grow in time, so I guess it works for me. So this is the final SQL i came up with, for future reference..
SELECT mt.*, roomtype.name roomname, hotel.name hotelname
FROM booking.price mt
INNER JOIN roomtype ON roomtype.id = mt.fk_roomtype
INNER JOIN hotel ON hotel.id = mt.fk_hotel
INNER JOIN(
SELECT price.id, MIN(price.amount) minAmount
FROM booking.price WHERE 1=1 AND price.start_date >= '2014-10-22' AND price.start_date <= '2014-10-31' AND price.max_people = 2 AND price.active = 1
GROUP BY id
) t
ON mt.id = t.id AND mt.amount = t.minAmount
ORDER BY mt.start_date, mt.amount
I'm trying to join and sum three tables together (MySQL), grouped by a 'tracking number' and an 'order_ID':
invoice_data_dhl
master_track_nums
payments
Problem: When they are multiple payments rows for an order_ID, it is multiplying the DHL_COST total by the number of results in the payments table for the order_ID.
SELECT
invoice_data_dhl.Waybill_Number,
sum(invoice_data_dhl.AWB_Original_Amount) AS DHL_COST,
master_track_nums.order_ID,
sum(payments.revenue) AS REVENUE
FROM invoice_data_dhl
LEFT JOIN master_track_nums
ON invoice_data_dhl.Waybill_Number = master_track_nums.track
LEFT JOIN payments
ON master_track_nums.order_ID = payments.order_ID
GROUP BY invoice_data_dhl.Waybill_Number
Can this be written so that I can get the results with a single query that outputs the results like the below?
Waybill_Number DHL_COST order_ID REVENUE
7022193792 182.52 110632 234
4536137201 3311.96 107637 4074
3927382187 248.95 110384 636
7812896712 74.85 106998 247
Thanks for any help in advance!
UNTESTED: but something like this: Updated: didn't remove sum on revenue in inline query.
SELECT A.waybill_number, A.DHL_COST, A.Order_ID, Sum(payments.Revenue)
FROM
(SELECT invoice_data_dhl.Waybill_Number,
sum(invoice_data_dhl.AWB_Original_Amount) AS DHL_COST,
master_track_nums.order_ID
FROM invoice_data_dhl
LEFT JOIN master_track_nums
ON invoice_data_dhl.Waybill_Number = master_track_nums.track
GROUP BY master_track_nums.Order_ID, invoice_data_dhl.Waybill_Number) A
LEFT JOIN payments
ON A.order_ID = payments.order_ID
GROUP BY A.waybill_number, A.DHL_COST, A.Order_ID
I have the following query and I want it to generate the result with just the latest date for the category for a store instead of giving out per date transaction:
SELECT c.store,d.node_name category, x.txn_dt, x.txn_tm time, count(c.txn_id) Buyer
FROM pos_swy.5_centerstore_triptype c
join pos_swy.3_txn_itm t on c.txn_id=t.txn_id
join pos_swy.1_upc_node_map d on t.upc_id=d.upc_id
join pos_swy.3_txn_hdr x on t.txn_id=x.txn_id
group by store,txn_dt,node_name;
I tried using max(x.txn_dt) but it really didn't solve the purpose.
you may need the order by ?
SELECT c.store,d.node_name category, max(x.txn_dt) max_date, x.txn_tm time, count(c.txn_id) Buyer
FROM pos_swy.5_centerstore_triptype c
join pos_swy.3_txn_itm t on c.txn_id=t.txn_id
join pos_swy.1_upc_node_map d on t.upc_id=d.upc_id
join pos_swy.3_txn_hdr x on t.txn_id=x.txn_id
group by node_name
order by max_date desc
-- you can change limit 1 to what ever you want to get results
I'm running the following query to get the open positions on a portfolio:
SELECT SUM(trades.quantity) as total_quantity, SUM(trades.price) as total_cost, SUM(trades.price)/SUM(trades.quantity) as cost_per_share,
trades.ticker, tickers.code
FROM (trades)
LEFT JOIN tickers
ON trades.ticker = tickers.id
GROUP BY tickers.code
HAVING total_quantity > 0
ORDER BY tickers.code
I'd like to add an extra column to show the weightening of a position, i.e.:
total_cost/SUM(total_cost) -- Dividing any given position cost by the total cost of the portfolio
Since aliases cannot be used in calculations, I thought I'd need to use a sub-query. I've tried a few things but couldn't make it to work.
Can anyone shed some light on this? Is sub-query the way to go? Is there any other better way to do it?
Not sure on your query (you appear to be doing a GROUP BY on a field from a LEFT JOINed table, which could be null for non found matching rows), but maybe cross join to a subselect to get the total of all prices
SELECT total_quantity, total_cost, cost_per_share, trades.ticker, tickers.code, total_cost/total_of_prices
FROM
(
SELECT SUM(trades.quantity) as total_quantity, SUM(trades.price) as total_cost, SUM(trades.price)/SUM(trades.quantity) as cost_per_share,
trades.ticker, tickers.code
FROM trades
LEFT JOIN tickers
ON trades.ticker = tickers.id
GROUP BY tickers.code
HAVING total_quantity > 0
) Sub1
CROSS JOIN
(
SELECT SUM(price) as total_of_prices
FROM trades
WHERE quantity > 0
) Sub2
ORDER BY tickers.code
Everything in the following query results in one line for each invBlueprintTypes row with the correct information. But I'm trying to add something to it. See below the codeblock.
Select
blueprintType.typeID,
blueprintType.typeName Blueprint,
productType.typeID,
productType.typeName Item,
productType.portionSize,
blueprintType.basePrice * 0.9 As bpoPrice,
productGroup.groupName ItemGroup,
productCategory.categoryName ItemCategory,
blueprints.productionTime,
blueprints.techLevel,
blueprints.researchProductivityTime,
blueprints.researchMaterialTime,
blueprints.researchCopyTime,
blueprints.researchTechTime,
blueprints.productivityModifier,
blueprints.materialModifier,
blueprints.wasteFactor,
blueprints.maxProductionLimit,
blueprints.blueprintTypeID
From
invBlueprintTypes As blueprints
Inner Join invTypes As blueprintType On blueprints.blueprintTypeID = blueprintType.typeID
Inner Join invTypes As productType On blueprints.productTypeID = productType.typeID
Inner Join invGroups As productGroup On productType.groupID = productGroup.groupID
Inner Join invCategories As productCategory On productGroup.categoryID = productCategory.categoryID
Where
blueprints.techLevel = 1 And
blueprintType.published = 1 And
productType.marketGroupID Is Not Null And
blueprintType.basePrice > 0
So what I need to get in here is the following table with the columns below it so I can use the values timestamp and sort the entire result by profitHour
tablename: invBlueprintTypesPrices
columns: blueprintTypeID, timestamp, profitHour
I need this information with the following select in mind. Using a select to show my intention of the JOIN/in-query select or whatever that can do this.
SELECT * FROM invBlueprintTypesPrices
WHERE blueprintTypeID = blueprintType.typeID
ORDER BY timestamp DESC LIMIT 1
And I need the main row from table invBlueprintTypes to still show even if there is no result from the invBlueprintTypesPrices. The LIMIT 1 is because I want the newest row possible, but deleting the older data is not a option since history is needed.
If I've understood correctly I think I need a subquery select, but how to do that? I've tired adding the exact query that is above with a AS blueprintPrices after the query's closing ), but did not work with a error with the
WHERE blueprintTypeID = blueprintType.typeID
part being the focus of the error. I have no idea why. Anyone who can solve this?
You'll need to use a LEFT JOIN to check for NULL values in invBlueprintTypesPrices. To mimic the LIMIT 1 per TypeId, you can use the MAX() or to truly make sure you only return a single record, use a row number -- this depends on whether you can have multiple max time stamps for each type id. Assuming not, then this should be close:
Select
...
From
invBlueprintTypes As blueprints
Inner Join invTypes As blueprintType On blueprints.blueprintTypeID = blueprintType.typeID
Inner Join invTypes As productType On blueprints.productTypeID = productType.typeID
Inner Join invGroups As productGroup On productType.groupID = productGroup.groupID
Inner Join invCategories As productCategory On productGroup.categoryID = productCategory.categoryID
Left Join (
SELECT MAX(TimeStamp) MaxTime, TypeId
FROM invBlueprintTypesPrices
GROUP BY TypeId
) blueprintTypePrice On blueprints.blueprintTypeID = blueprintTypePrice.typeID
Left Join invBlueprintTypesPrices blueprintTypePrices On
blueprintTypePrice.TypeId = blueprintTypePrices.TypeId AND
blueprintTypePrice.MaxTime = blueprintTypePrices.TimeStamp
Where
blueprints.techLevel = 1 And
blueprintType.published = 1 And
productType.marketGroupID Is Not Null And
blueprintType.basePrice > 0
Order By
blueprintTypePrices.profitHour
Assuming you might have the same max time stamp with 2 different records, replace the 2 left joins above with something similar to this getting the row number:
Left Join (
SELECT #rn:=IF(#prevTypeId=TypeId,#rn+1,1) rn,
TimeStamp,
TypeId,
profitHour,
#prevTypeId:=TypeId
FROM (SELECT *
FROM invBlueprintTypesPrices
ORDER BY TypeId, TimeStamp DESC) t
JOIN (SELECT #rn:=0) t2
) blueprintTypePrices On blueprints.blueprintTypeID = blueprintTypePrices.typeID AND blueprintTypePrices.rn=1
You don't say where you are putting the subquery. If in the select clause, then you have a problem because you are returning more than one value.
You can't put this into the from clause directly, because you have a correlated subquery (not allowed).
Instead, you can put it in like this:
from . . .
(select *
from invBLueprintTypesPrices ibptp
where ibtp.timestamp = (select ibptp2.timestamp
from invBLueprintTypesPrices ibptp2
where ibptp.blueprintTypeId = ibptp2.blueprintTypeId
order by timestamp desc
limit 1
)
) ibptp
on ibptp.blueprintTypeId = blueprintType.TypeID
This identifies the most recent records for all the blueprintTypeids in the subquery. It then joins in the one that matches.