I have a table sales which has a related receipts table.
A sale can have many receipts. If the sum of the receipts is less than the sales amount then there is a balance outstanding.
I have the SQL that works just how I want. Having headaches trying to shoehorn this into eloquent.
SELECT `sales`.`id`, `sales`.`created_at`,`sales`.`updated_at`,`sales`.`sales_date`,`sales`.`gross`, `sales`.`net_amount`,`sales`.`vat_amount`,`sales`.`vat_rate`,`sales`.`description`,
(SELECT SUM(receipt_gross_amount) as received_gross FROM `receipts` INNER JOIN `sales` WHERE `receipts`.`sales_id` = `sales`.`id`) as received
FROM `sales`
) as unsettled_invoices
WHERE unsettled_invoices.gross > COALESCE(unsettled_invoices.received,0)
I won't bore you with what I have tried already as it's not relevant and just causes php to hang and issue "killed" in the command line...
This seems to do the job ...
$unsettledsalessentries = DB::table('sales')
->leftjoin('receipts', 'sales.id','=', 'receipts.sales_id')
->select('sales.id','sales.gross','sales.description',DB::raw('SUM(COALESCE(receipts.receipt_gross_amount,0)) as total_receipts'))
->groupBy('sales.id','sales.gross','sales.description')
->havingRaw('sales.gross > total_receipts')
->get();
Related
Can someone please help me with this issue? I've scoured the Internet looking at dozens of examples, but i just can't find a solution that works.
I am using Access 2013. The problem is that I am trying to make a query that will highlight all part numbers from a supplier that either has customer back orders and/or overdue deliveries.
I am using three tables:
tbl_Inventory_Master which I require the part number, on hand stock value, and the supplier code.
For any back orders I need to join the tbl_Customer_Back_Order table as I need the count of back order lines and the sum of the back order quantity.
If the supplier has a late delivery, then I need to add the tbl_On_Order table showing the count of overdue deliveries and the sum of the overdue quantities.
The query is retrieving the data but the returned quantities are double what they should be.
SELECT
I.Inventory_Part_Num, I.Description, I.On_Hand_Stock,
COUNT (B.Part_Number) AS Back_Order_Count, SUM(B.Back_Order_Qty) as BO_Qty,
COUNT(O.Part_Number) AS Late_Deliveries_Count, SUM(O.Order_Qty) AS Late_Qty
FROM (tbl_Inventory_Master AS I
LEFT OUTER JOIN tbl_Customer_Back_Order AS B
ON I.Inventory_Part_Num = B.Part_Number)
LEFT OUTER tbl_On_Order AS O
ON I.Inventory_Part_Num = O.Part_Number
WHERE
I.Customer_Code = '274' AND
O.Due_Date < [ENTER TODAYS DATE IN FORMAT DD/MM/YYYY]
GROUP BY I.Inventory_Part_Num, I.Description, I.On_Hand_Stock
For example, for the part number 2022940 I should have 10 back order lines and an overdue quantity of 43. Instead, the query is returning 20 back order lines and an overdue quantity sum of 86.
From the on order table I have three orders totaling 144 pieces, instead the query is returning 960.
Can someone please advise, as this is driving me crazy?
You are joining along unrelated dimensions, so you need to aggregate before joining:
SELECT I.Inventory_Part_Num, I.Description, I.On_Hand_Stock,
B.Back_Order_Count, B.BO_Qty,
O.Late_Deliveries_Count, O.Late_Qty
FROM (tbl_Inventory_Master AS I LEFT OUTER JOIN
(SELECT B.Part_Number, COUNT(*) as Back_Order_Count,
SUM(B.Back_Order_Qty) as BO_Qty
FROM tbl_Customer_Back_Order AS B
GROUP BY B.Part_Number
) as B
ON I.Inventory_Part_Num = B.Part_Number
) LEFT JOIN
(SELECT O.Part_Number, COUNT(O.Part_Number) AS Late_Deliveries_Count,
SUM(O.Order_Qty) AS Late_Qty
FROM tbl_On_Order AS O
WHERE O.Due_Date < [ENTER TODAYS DATE IN FORMAT DD/MM/YYYY]
GROUP BY O.Part_Number
) as O
ON I.Inventory_Part_Num = O.Part_Number
WHERE I.Customer_Code = '274';
Notice the outer aggregation is no longer needed.
I have a table of about 5M rows. Note this is just a poc. Ultimately we will need to be in the TB range. I am doing a self join to find permutations of products for a market basket analysis.
I need to find the number of times the combination occurs in a basket, the ratio of occurrences to total baskets, and the number of times the item occurs in all baskets. This is pretty standard. BigQuery does not support selects in the predicate of another select so I needed to create another join I suppose. Here's what I came up with -
select twoItem.upc1,twoItem.upc2,twoItem.twoItemOccurrences, totalUpc.totalUpcCount
from
(
select purchase1.upc as upc1,purchase2.upc as upc2,count(upc1) as twoItemOccurrences
from
conagra.purchase as purchase1
join each conagra.purchase as purchase2
on purchase1.upc = purchase2.upc
group by upc1,upc2
) as twoItem
JOIN EACH
(
select purchase3.upc as upc3, count(*) as totalUpcCount
from conagra.purchase as purchase3
group by upc3
) as totalUpc
on totalUpc.upc3 = twoItem.upc1
LIMIT 50;
I get the following error:
SHUFFLE BY may only be applied to parallelizable queries, but query is not parallelizable: (SELECT * FROM (SELECT [purchase3.upc] AS [upc3], COUNT(*) AS [totalUpcCount]...
Maybe an unpublished limitation?
Any help would be appreciated.
Try running these with GROUP EACH BY on your inner queries. We'll improve the response message for queries like this.
My query below is doubling the amount on the last record it returns. I have 3 tables - activities, bookings and tempbookings. The query needs to list the activities and attached information and pull the total number (using the SUM) of places booked (as BookingTotal) from the booking table by each activity and then it needs to calculate the same for tempbookings (as tempPlacesReserved) providing the reservedate field inside that table is in the future.
However the first issue is that if there are no records for an activity in the tempbookings table it does not return any records for that activity at all, to get around this i created dummy records in the past so that it still returns the record, but if I can make it so I don't have to do this I would prefer it!
The main issue I have is that on the final record of the returned results it doubles the booking total and the places reserved which of course makes the whole query useless.
I know that I am doing something wrong I just haven't been able to sort it, I have searched similar issues online but am unable to apply them to my situation correctly.
Any help would be appreciated.
P.S. I'm aware that normally you wouldn't need to fully label all the paths to the databases, tables and fields as I have but for the program I am planning to use it in I have to do it this way.
Code:
SELECT [LeisureActivities].[dbo].[activities].[activityID],
[LeisureActivities].[dbo].[activities].[activityName],
[LeisureActivities].[dbo].[activities].[activityDate],
[LeisureActivities].[dbo].[activities].[activityPlaces],
[LeisureActivities].[dbo].[activities].[activityPrice],
SUM([LeisureActivities].[dbo].[bookings].[bookingPlaces]) AS 'bookingTotal',
SUM (CASE WHEN[LeisureActivities].[dbo].[tempbookings].[tempReserveDate] > GetDate() THEN [LeisureActivities].[dbo].[tempbookings].[tempPlaces] ELSE 0 end) AS 'tempPlacesReserved'
FROM [LeisureActivities].[dbo].[activities],
[LeisureActivities].[dbo].[bookings],
[LeisureActivities].[dbo].[tempbookings]
WHERE ([LeisureActivities].[dbo].[activities].[activityID]=[LeisureActivities].[dbo].[bookings].[activityID]
AND [LeisureActivities].[dbo].[activities].[activityID]=[LeisureActivities].[dbo].[tempbookings].[tempActivityID])
AND [LeisureActivities].[dbo].[activities].[activityDate] > GetDate ()
GROUP BY [LeisureActivities].[dbo].[activities].[activityID],
[LeisureActivities].[dbo].[activities].[activityName],
[LeisureActivities].[dbo].[activities].[activityDate],
[LeisureActivities].[dbo].[activities].[activityPlaces],
[LeisureActivities].[dbo].[activities].[activityPrice];
Your current query is using an INNER JOIN between each of the tables so if the tempBookings table has no records, you will not return anything.
I would advise that you start to use JOIN syntax. You might also need to use subqueries to get the totals.
SELECT a.[activityID],
a.[activityName],
a.[activityDate],
a.[activityPlaces],
a.[activityPrice],
coalesce(b.bookingTotal, 0) bookingTotal,
coalesce(t.tempPlacesReserved, 0) tempPlacesReserved
FROM [LeisureActivities].[dbo].[activities] a
LEFT JOIN
(
select activityID,
SUM([bookingPlaces]) AS bookingTotal
from [LeisureActivities].[dbo].[bookings]
group by activityID
) b
ON a.[activityID]=b.[activityID]
LEFT JOIN
(
select tempActivityID,
SUM(CASE WHEN [tempReserveDate] > GetDate() THEN [tempPlaces] ELSE 0 end) AS tempPlacesReserved
from [LeisureActivities].[dbo].[tempbookings]
group by tempActivityID
) t
ON a.[activityID]=t.[tempActivityID]
WHERE a.[activityDate] > GetDate();
Note: I am using aliases because it is easier to read
Use new SQL-92 Join syntax, and make join to tempBookings an outer join. Also clean up your sql with table aliases. Makes it easier to read. As to why last row has doubled values, I don't know, but on off chance that it is caused by extra dummy records you entered. get rid of them. That problem is fixed by using outer join to tempBookings. The other possibility is that the join conditions you had to the tempBookings table(t.tempActivityID = a.activityID) is insufficient to guarantee that it will match to only one record in activities table... If, for example, it matches to two records in activities, then the rows from Tempbookings would be repeated twice in the output, (causing the sum to be doubled)
SELECT a.activityID, a.activityName, a.activityDate,
a.activityPlaces, a.activityPrice,
SUM(b.bookingPlaces) bookingTotal,
SUM (CASE WHEN t.tempReserveDate > GetDate()
THEN t.tempPlaces ELSE 0 end) tempPlacesReserved
FROM LeisureActivities.dbo.activities a
Join LeisureActivities.dbo.bookings b
On b.activityID = a.activityID
Left Join LeisureActivities.dbo.tempbookings t
On t.tempActivityID = a.activityID
WHERE a.activityDate > GetDate ()
GROUP BY a.activityID, a.activityName,
a.activityDate, a.activityPlaces,
a.activityPrice;
I postet this question a few days ago but I didn't explain exactly what I want.
I ask the question better formulated again:
To clarify my problem I added some new information:
I got an MySQL DB with MyISAM tables. The two relevant tables are:
* orders_products: orders_products_id, orders_id, product_id, product_name, product_price, product_name, product_model, final_price, ...
* products: products_id, manufacturers_id, ...
(for full information about the tables see screenshot products (Screenshot) and screenshot orders_products (Screenshot))
Now what I want is this: - Get all Orders who ordered products with manufacturers_id = 1. And the product name of the product of this order (with manufacturers_id = 1). Grouped by orders.
What I did so far is this:
SELECT
op.orders_id,
p.products_id,
op.products_name,
op.products_price,
op.products_quantity
FROM orders_products op , products p
INNER JOIN products
ON op.products_id = p.products_id
WHERE p.manufacturers_id = 1 AND
p.orders_id > 10000
p.orders_id > 10000 for testing to get only a few order_id's. But thies query takes much time to get executed if it even works. Two times the sql server stucked. Where is the mistake?
SELECT
op.orders_id,
p.products_id,
op.products_name,
op.products_price,
op.products_quantity
FROM orders_products op
INNER JOIN products p
ON op.products_id = p.products_id
WHERE p.manufacturers_id = 1 AND
p.orders_id > 10000
YOu had both implicit and explict joins on the products table (Make a note to never again use the implicit join syntax, it is a very bad programmin practice) and looking at the code, I suspect you were getting a cross join.
If you do not have any indexes then the select may be generating many table scans.
It may be that you are getting back a very large result set, that could fill up the temp area, which could explain getting stuck.
I have a PHP page running in postgres. I have 3 tables - workorders, wo_parts and part2vendor. I am trying to multiply 2 table column row datas together, ie wo_parts has a field called qty and part2vendor has a field called cost. These 2 are joined by wo_parts.pn and part2vendor.pn. I have created a query like this:
$scoreCostQuery = "SELECT SUM(part2vendor.cost*wo_parts.qty) as total_score
FROM part2vendor
INNER JOIN wo_parts
ON (wo_parts.pn=part2vendor.pn)
WHERE workorder=$workorder";
But if I add the costs of the parts multiplied by the qauntities supplied, it adds to a different number than what the script is doing. Help....I am new to this but if someone can show me in SQL I can modify it for postgres. Thanks
Without seeing example data, there's no way for us to know why you're query totals are coming out differently that when you do the math by hand. It could be a bad join, so you are getting more/less records than you expected. It's also possible that your calculations are off. Pick an example with the smallest number of associated records & compare.
My suggestion is to add a GROUP BY to the query:
SELECT SUM(p.cost * wp.qty) as total_score
FROM part2vendor p
JOIN wo_parts wp ON wp.pn = p.pn
WHERE workorder = $workorder
GROUP BY workorder
FYI: MySQL was designed to allow flexibility in the GROUP BY, while no other db I've used does - it's a source of numerous questions on SO "why does this work in MySQL when it doesn't work on db x...".
To Check that your Quantities are correct:
SELECT wp.qty,
p.cost
FROM WO_PARTS wp
JOIN PART2VENDOR p ON p.pn = wp.pn
WHERE p.workorder = $workorder
Check that the numbers are correct for a given order.
You could try a sub-query instead.
(Note, I don't have a Postgres installation to test this on so consider this more like pseudo code than a working example... It does work in MySQL tho)
SELECT
SUM(p.`score`) AS 'total_score'
FROM part2vendor AS p2v
INNER JOIN (
SELECT pn, cost * qty AS `score`
FROM wo_parts
) AS p
ON p.pn = p2v.pn
WHERE p2n.workorder=$workorder"
In the question, you say the cost column is in part2vendor, but in the query you reference wo_parts.cost. If the wo_parts table has its own cost column, that's the source of the problem.