Trying to get the folliwng names as well as a column summarizing the payment + the 2 consecutive payments for the customer, listed chronologically.
First time using the lead funciton, and managed to make it work, but with the sum() I get an error:
SQL Error [42803]: ERROR: column "p.payment_id" must appear in the GROUP BY clause or be used in an aggregate function
Position: 11
select
p.payment_id,
c.first_name,
c.last_name,
p.amount,
lead(sum(amount),3)over(partition by p.payment_id order by amount)as sum_pay
from payment p
left join customer c on c.customer_id = p.customer_id;
Can anyone give any tips as to where the problem lies?
p.id c.id s.id r.id amount payment_date
17503 341 2 1520 7.99 2007-02-15 22:25:46.996
17504 341 1 1778 1.99 2007-02-16 17:23:14.996
17505 341 1 1849 7.99 2007-02-16 22:41:45.996
17506 341 2 2829 2.99 2007-02-19 19:39:56.996
17507 341 2 3130 7.99 2007-02-20 17:31:48.996
17508 341 1 3382 5.99 2007-02-21 12:33:49.996
17509 342 2 2190 5.99 2007-02-17 23:58:17.996
17510 342 1 2914 5.99 2007-02-20 02:11:44.996
17511 342 1 3081 2.99 2007-02-20 13:57:39.996
17512 343 2 1547 4.99 2007-02-16 00:10:50.996
17513 343 1 1564 6.99 2007-02-16 01:15:33.996
17514 343 2 1879 0.99 2007-02-17 01:26:00.996
17515 343 2 1922 0.99 2007-02-17 04:32:51.996
17516 343 2 2461 6.99 2007-02-18 18:26:38.996
Trying to get an additional row of customer and sum payment + 2 consecutive payments
Related
I am getting SUM() of amount in CrowdfundedUser table by GROUP BY CrowdfundID but difficult to get SUM() because all columns are unique.
Crowdfund:
CrowdfundID
GoalAmount
StartedDate
9
10000
09/02/2022
5
20000
10/02/2022
55
350000
11/02/2022
444
541256
12/02/2022
54
78458
13/02/2022
CrowdfundedUser:
ID
User ID
CrowdfundID
Amount
744
12214
9
1000
745
4124
5
8422
746
12214
55
784
747
12214
444
874
748
64554
54
652
CrowdfundiPaymentTransaction:
CrowdfundedUserID
Invoice
Amount
PaymentDate
744
RA45A14124
1000
09/02/2022
745
RA45A12412
8422
10/02/2022
746
RA45U14789
784
11/02/2022
747
RA45F12457
874
12/02/2022
748
RA45M00124
652
13/02/2022
My query :
SELECT
c.CrowdfundID,
SUM(cu.Amount),
SUM(cpt..Amount)
FROM
Crowdfund c
INNER JOIN
CrowdfundedUser cu ON c.CrowdfundID = cu.CrowdfundID
INNER JOIN
CrowdfundiPaymentTransaction cpt ON cu.ID = cpt.CrowdfundedUserID
GROUP BY
c.CrowdfundID
SELECT c.CrowdfundID,
SUM(cu.Amount) OVER (
ORDER BY c.CrowdfundID) Amount,
SUM(cpt..Amount) OVER (
ORDER BY c.CrowdfundID) CptAmount
FROM Crowdfund c
INNER JOIN CrowdfundedUser cu ON c.CrowdfundID = cu.CrowdfundID
INNER JOIN CrowdfundiPaymentTransaction cpt ON cu.ID = cpt.CrowdfundedUserID
I'm trying to select some values based on some proprietary data, and I just changed the variables to reference house prices.
I am trying to get the total offers for houses where they were sold at the bid or at the ask price, with offers under 15 and offers * sale price less than 5,000,000.
I then want to get the total number of offers for each neighborhood on each day, but instead I'm getting the total offers across each neighborhood (n1 + n2 + n3 + n4 + n5) across all dates and the total offers in the dataset across all dates.
My current query is this:
SELECT DISTINCT(neighborhood),
DATE(date_of_sale),
(SELECT SUM(offers)
FROM `big_query.a_table_name.houseprices`
WHERE ((offers * accepted_sale_price < 5000000)
AND (offers < 15)
AND (house_bid = sale_price OR
house_ask = sale_price))) as bid_ask_off,
(SELECT SUM(offers)
FROM `big_query.a_table_name.houseprices`) as
total_offers,
FROM `big_query.a_table_name.houseprices`
GROUP BY neighborhood, DATE(date_of_sale) LIMIT 100
Which I am expecting a result like, with date being repeated throughout as d1, d2, d3, etc.:
but am instead receiving
I'm aware that there are some inherent problems with what I'm trying to select / group, but I'm not sure what to google or what tutorials to look at in order to perform this operation.
It's querying quite a bit of data, and I want to keep costs down, as I've already racked up a smallish bill on queries.
Any help or advice would be greatly appreciated, and I hope I've provided enough information.
Here is a sample dataframe.
neighborhood date_of_sale offers accepted_sale_price house_bid house_ask
bronx 4/1/2022 3 323 320 323
manhattan 4/1/2022 4 244 230 244
manhattan 4/1/2022 8 856 856 900
queens 4/1/2022 15 110 110 135
brooklyn 4/2/2022 12 115 100 115
manhattan 4/2/2022 9 255 255 275
bronx 4/2/2022 6 330 300 330
queens 4/2/2022 10 405 395 405
brooklyn 4/2/2022 4 254 254 265
staten_island 4/3/2022 2 442 430 442
staten_island 4/3/2022 13 195 195 225
bronx 4/3/2022 4 650 650 690
manhattan 4/3/2022 2 286 266 286
manhattan 4/3/2022 6 356 356 400
staten_island 4/4/2022 4 361 361 401
staten_island 4/4/2022 5 348 348 399
bronx 4/4/2022 8 397 340 397
manhattan 4/4/2022 9 333 333 394
manhattan 4/4/2022 11 392 325 392
I think that this is what you need.
As we group by neighbourhood we do not need DISTINCT.
We take sum(offers) for total_offers directly from the table and bids from a sub-query which we join to so that it is grouped by neighbourhood.
SELECT
h.neighborhood,
DATE(h.date_of_sale) AS date_,
s.bids AS bid_ask_off,
SUM(h.offers) AS total_offers,
FROM
`big_query.a_table_name.houseprices` h
LEFT JOIN
(SELECT
neighborhood,
SUM(offers) AS bids
FROM
`big_query.a_table_name.houseprices`
WHERE offers * accepted_sale_price < 5000000
AND offers < 15
AND (house_bid = sale_price OR
house_ask = sale_price)
GROUP BY neighborhood) s
ON h.neighborhood = s.neighborhood
GROUP BY
h.neighborhood,
DATE(date_of_sale),
s.bids
LIMIT 100;
Or the following which modifies more the initial query but may be more like what you need.
SELECT
h.neighborhood,
DATE(h.date_of_sale) AS date_,
s.bids AS bid_ask_off,
SUM(h.offers) AS total_offers,
FROM
`big_query.a_table_name.houseprices` h
LEFT JOIN
(SELECT
date_of_sale dos,
neighborhood,
SUM(offers) AS bids
FROM
`big_query.a_table_name.houseprices`
WHERE offers * accepted_sale_price < 5000000
AND offers < 15
AND (house_bid = sale_price OR
house_ask = sale_price)
GROUP BY
neighborhood,
date_of_sale) s
ON h.neighborhood = s.neighborhood
AND h.date_of_sale = s.dos
GROUP BY
h.neighborhood,
DATE(date_of_sale),
s.bids
LIMIT 100;
I have this query but it is only showing the last 5 rows instead of limiting the amount of rows the group by gets
I only want the last 50 rows for each person to be sum and in the group.
SELECT playerid, SUM(gamesplayed) AS totalgames, SUM(playtimes) AS playtimeTotal, SUM(Kills) AS totalkills
FROM plugin_game
WHERE gamesplayed=1
GROUP BY playerid
ORDER BY totalkills DESC
LIMIT 50
playerid totalgames playtimeTotal totalkills
797749 8 3076 678
53854 8 5982 635
24398 8 3277 575
464657 4 1325 387
65748 4 3390 368
651532 4 3219 354
287378 6 3893 350
753808 4 2565 323
731631 4 1733 256
665338 4 1971 255
569648 2 2041 244
56488 4 2636 157
006985 3 785 93
58640 1 432 72
If i change the LIMIT to 5 it only shows
playerid totalgames playtimeTotal totalkills
797749 8 3076 678
53854 8 5982 635
24398 8 3277 575
464657 4 1325 387
65748 4 3390 368
so if we use 5 games as an example, i only want to get the SUM for the past 5 games for the group
This should work in postgre sql!
SELECT playerid,
SUM(gamesplayed) over w AS totalgames,
SUM(playtimes) over w AS playtimetotal,
SUM(kills) over w AS totalkills,
ROW_NUMBER() over w AS row
FROM plugin_game
window w AS (PARTITION BY playerid ORDER BY totalkills DESC)
WHERE gamesplayed=1 and row <=50
I have two tables A and B,
Table A
PstngDate WorkingDayOutput
12/1/2020 221
12/3/2020 327
12/4/2020 509
12/5/2020 418
12/7/2020 390
12/8/2020 431
12/9/2020 244
12/10/2020 246
12/11/2020 314
12/12/2020 301
12/14/2020 411
12/15/2020 530
12/16/2020 554
12/17/2020 300
12/18/2020 375
12/23/2020 402
12/24/2020 302
12/25/2020 269
12/26/2020 382
12/28/2020 608
Table B
PstngDate HolidayOutput isWorkingDay
12/2/2020 20 0
12/6/2020 24 0
12/13/2020 31 0
12/19/2020 82 0
12/22/2020 507 0
12/27/2020 537 0
Expected output:
PstngDate WorkingDayOutput HolidayOutput
12/1/2020 221 20
12/3/2020 327
12/4/2020 509
12/5/2020 418 24
12/7/2020 390
12/8/2020 431
12/9/2020 244
12/10/2020 246
12/11/2020 314
12/12/2020 301 31
12/14/2020 411
12/15/2020 530
12/16/2020 554
12/17/2020 300
12/18/2020 375 589
12/23/2020 402
12/24/2020 302
12/25/2020 269
12/26/2020 382 537
12/28/2020 608
I want to join TableB to TableA with nearest lesser date column. If you see Expectedoutput table, day 18 row of holidayoutput column is taking sum of day19 and day22 of table B.
I want to join TableB to TableA with nearest lesser date column
This sounds like a lateral join:
select a.*, coalesce(b.holidayquantity, 0) as holidayquantity
from a
outer apply (
select top (1) b.*
from b
where b.pstng_date >= a.pstng_date
order by b.pstng_date
) b
You can use self left join as follows:
Select pstng_date, workingDayQuantity,
HolidayQuantity,
workingDayQuantity + HolidayQuantity as total
From
(Select a.*, b.HolidayQuantity,
Row_number() over (partirion by a.psrng_date order by b.pstng_date) ad rn
From tablea a join tableb b On b.pstng_date > a.pstng_date) t
Where rn=1
I have the following queries,
QryStockOnHand
SELECT QrySaleTot.Item, QrySaleTot.ProductID, [QryStockLevel].[Stock]-[QrySaleTot].[Quantity] AS StockOnHand
FROM QryStockLevel INNER JOIN QrySaleTot ON QryStockLevel.ProductID = QrySaleTot.ProductID;
QrySaleTot
SELECT TblProduct.Item, Sum(TblTotalSale.Size) AS Quantity, TblProduct.ProductID
FROM TblProduct INNER JOIN TblTotalSale ON TblProduct.[ProductID] = TblTotalSale.[ProductID]
GROUP BY TblProduct.Item, TblProduct.ProductID;
QryStockLevel
SELECT TblStock.ProductID, Sum(TblStock.StockLevel) AS Stock, TblProduct.Item
FROM TblStock INNER JOIN TblProduct ON TblStock.ProductID = TblProduct.ProductID
GROUP BY TblStock.ProductID, TblProduct.Item;
When I run the QryStockonHand and no sales of a product have been made then the porduct does not appear in the result of the query...
Sample Data
TblStock
StockID ProductID StockLevel
138 1 528
139 3 528
140 5 528
141 9 528
142 7 528
143 18 80
144 30 72
145 34 72
146 33 72
147 32 200
148 22 80
149 19 80
150 23 80
151 20 80
TblProduct
ProductID Item Price StockDelivery PriceSmall Large Small
1 Carling £2.50 528 £1.40 2 1
3 Carlsburg £2.70 528 £1.60 2 1
5 IPA £2.30 528 £1.20 2 1
7 StrongBow £2.80 528 £1.65 2 1
9 RevJames £2.45 528 £1.30 2 1
11 Becks £2.90 72 1
12 WKDBlue £2.80 72 1
13 WKDRed £2.80 72 1
14 SmirnoffIce £2.80 72 1
TblTotalSale
TotalSalesID ProductID SalePrice Day Time Size
576 1 £1.40 19/02/2012 15:34:24 1
528 1 £2.50 09/02/2012 14:44:44 2
530 1 £1.40 09/02/2012 14:44:44 1
565 1 £2.50 19/02/2012 15:34:24 2
567 1 £1.40 19/02/2012 15:34:24 1
570 3 £2.70 19/02/2012 15:34:24 2
571 3 £1.60 19/02/2012 15:34:24 1
577 3 £2.70 19/02/2012 15:34:24 2
578 3 £1.60 19/02/2012 15:34:24 1
533 3 £2.70 09/02/2012 14:44:44 2
534 3 £1.60 09/02/2012 14:44:44 1
Any Idea why... I guess it is a null thing, where it is seeing the no sales as a non existent thing, instead of a zero sales.... any idea how i could fix it?
Thanks
Sam
Instead of an inner join, use a left outer join, which will tell it to grab all of the rows from the left hand table on the join, instead of an inner join, which returns only rows which have values in both tables.
I don't know the QryStockLevel fields, but your query should look something like this:
SELECT QryStockLevel.Item, QryStockLevel.ProductID, [QryStockLevel].[Stock]-NZ([QrySaleTot].[Quantity],0) AS StockOnHand
FROM QryStockLevel LEFT OUTER JOIN QrySaleTot ON QryStockLevel.ProductID = QrySaleTot.ProductID;
Note the NZ function to handle a null on the Quantity when qrysaletot does not have a row.