Problem statement description :-
I have two tables - table1 and table2 . table1 contains data of quantity buy of id=7 and table2 contain data of quantity sold of same id=7. Both table1 and table2 is sorted according to date i.e from oldest to latest date and every time only 1 quantity is buy or sold.
table1:
table1
date_buy
id
qty_buy
rolling_sum_qty_buy
30-07-2019
7
1
1
20-10-2019
7
1
2
17-01-2020
7
1
3
15-02-2020
7
1
4
15-02-2020
7
1
5
15-02-2020
7
1
6
14-07-2021
7
1
7
19-09-2021
7
1
8
25-12-2021
7
1
9
30-12-2021
7
1
10
10-02-2022
7
1
11
15-03-2022
7
1
12
15-03-2022
7
1
13
14-06-2022
7
1
14
table2:-
table2
date_sold
id
qty_sold
rolling_sum_qty_sold
01-08-2019
7
1
1
15-09-2019
7
1
2
27-12-2019
7
1
3
01-02-2020
7
1
4
12-02-2020
7
1
5
25-07-2021
7
1
6
25-07-2021
7
1
7
28-08-2021
7
1
8
10-09-2021
7
1
9
12-09-2021
7
1
10
25-04-2022
7
1
11
-- SQL scrtpt of table1:
CREATE TABLE IF NOT EXISTS table1 (
`date_buy` DATETIME,
`id` INT,
`qty_buy` INT,
`rolling_sum_qty_buy` INT
);
INSERT INTO table1 VALUES
('2019-07-30 00:00:00',7,1,1),
('2019-10-20 00:00:00',7,1,2),
('2020-01-17 00:00:00',7,1,3),
('2020-02-15 00:00:00',7,1,4),
('2020-02-15 00:00:00',7,1,5),
('2020-02-15 00:00:00',7,1,6),
('2021-07-14 00:00:00',7,1,7),
('2021-09-19 00:00:00',7,1,8),
('2021-12-25 00:00:00',7,1,9),
('2021-12-30 00:00:00',7,1,10),
('2022-02-10 00:00:00',7,1,11),
('2022-03-15 00:00:00',7,1,12),
('2022-03-15 00:00:00',7,1,13),
('2022-06-14 00:00:00',7,1,14);
-- sql script of table2:
CREATE TABLE IF NOT EXISTS table2 (
`date_sold` DATETIME,
`id` INT,
`qty_sold` INT,
`rolling_sum_qty_sold` INT
);
INSERT INTO table2 VALUES
('2019-08-01 00:00:00',7,1,1),
('2019-09-15 00:00:00',7,1,2),
('2019-12-27 00:00:00',7,1,3),
('2020-02-01 00:00:00',7,1,4),
('2020-02-12 00:00:00',7,1,5),
('2021-07-25 00:00:00',7,1,6),
('2021-07-25 00:00:00',7,1,7),
('2021-08-28 00:00:00',7,1,8),
('2021-09-10 00:00:00',7,1,9),
('2021-09-12 00:00:00',7,1,10),
('2022-04-25 00:00:00',7,1,11);
-- Now, i want to join this two table on two condition
for every date i.e date_buy column in table1 i should get output where date i.e date_sold is greater than date_buy and i want first date i.e. date_sold which is greater than that particular date i.e date_buy.
i also want those rows from table1 in my output which does not get joined with table2
so that i can easily find out the remaining quantity because in table1 i have quantity buy and after joining with table2 i will get quantity sold, so the cases where i get null values then in that case i can assume that that much quantity is remaining.
--My output:-
Earlier when there was no date issue then i was simply using left join to join table1 and table2 on rolling sum condition and where there was null cases i was taking sum of qty to get remaining qty but right now i have that condition too so i cant use rolling_sum_cond column directly in join condition.
-- query which i was using and output which i was getting earlier
select * from table1
left join table2
on table1.rolling_sum_qty_buy=table2.rolling_sum_qty_sold
date_buy
id
qty_buy
rolling_sum_qty_buy
date_sold
id-2
qty_sold
rolling_sum_qty_sold
30-07-2019
7
1
1
01-08-2019
7
1
1
20-10-2019
7
1
2
15-09-2019
7
1
2
17-01-2020
7
1
3
27-12-2019
7
1
3
15-02-2020
7
1
4
01-02-2020
7
1
4
15-02-2020
7
1
5
12-02-2020
7
1
5
15-02-2020
7
1
6
25-07-2021
7
1
6
14-07-2021
7
1
7
25-07-2021
7
1
7
19-09-2021
7
1
8
28-08-2021
7
1
8
25-12-2021
7
1
9
10-09-2021
7
1
9
30-12-2021
7
1
10
12-09-2021
7
1
10
10-02-2022
7
1
11
25-04-2022
7
1
11
15-03-2022
7
1
12
NULL
NULL
NULL
NULL
15-03-2022
7
1
13
NULL
NULL
NULL
NULL
14-06-2022
7
1
14
NULL
NULL
NULL
NULL
and to find out remaining quantity , i was using null condition
query:-
with cte as
(
select * from table1
left join table2
on table1.rolling_sum_qty_buy=table2.rolling_sum_qty_sold
)
select sum(qty_buy) as remaining_qty
from cte
where cte.date_sold is null
remaining_qty
3
-- my expectation
now i have to use date condition also to get the output
-- Expected Output
date_buy
id
qty_buy
rolling_sum_qty_buy
date_sold
id
qty_sold
rolling_sum_qty_sold
30-07-2019
7
1
1
01-08-2019
7
1
1
20-10-2019
7
1
2
27-12-2019
7
1
3
17-01-2020
7
1
3
01-02-2020
7
1
4
15-02-2020
7
1
4
25-07-2021
7
1
6
15-02-2020
7
1
5
25-07-2021
7
1
7
15-02-2020
7
1
6
28-08-2021
7
1
8
14-07-2021
7
1
7
10-09-2021
7
1
9
19-09-2021
7
1
8
25-04-2022
7
1
11
25-12-2021
7
1
9
NULL
NULL
NULL
NULL
30-12-2021
7
1
10
NULL
NULL
NULL
NULL
10-02-2022
7
1
11
NULL
NULL
NULL
NULL
15-03-2022
7
1
12
NULL
NULL
NULL
NULL
15-03-2022
7
1
13
NULL
NULL
NULL
NULL
14-06-2022
7
1
14
NULL
NULL
NULL
NULL
-- Please help me to get the following output. Any help would be appreciated.
I am using postgresql.
That was a challenging one.
with recursive cte as
(
select t2.date_sold
,t2.rolling_sum_qty_sold
,true as is_match
,1 as last_rolling_sum_qty_buy
from t2 join t on t2.rolling_sum_qty_sold = t.rolling_sum_qty_buy
where t2.rolling_sum_qty_sold = 1
union all
select t2.date_sold
,t2.rolling_sum_qty_sold
,t2.date_sold >= t.date_buy
,cte.last_rolling_sum_qty_buy + case when t2.date_sold >= t.date_buy then 1 else 0 end
from t2
join cte on cte.rolling_sum_qty_sold + 1 = t2.rolling_sum_qty_sold
join t on t.rolling_sum_qty_buy = cte.last_rolling_sum_qty_buy + 1
)
select t.date_buy
,t.id
,t.qty_buy
,t.rolling_sum_qty_buy
,cte.date_sold
,cte.rolling_sum_qty_sold
from t left join cte on cte.last_rolling_sum_qty_buy = t.rolling_sum_qty_buy and is_match
date_buy
id
qty_buy
rolling_sum_qty_buy
date_sold
rolling_sum_qty_sold
2019-07-30
7
1
1
2019-08-01
1
2019-10-20
7
1
2
2019-12-27
3
2020-01-17
7
1
3
2020-02-01
4
2020-02-15
7
1
4
2021-07-25
6
2020-02-15
7
1
5
2021-07-25
7
2020-02-15
7
1
6
2021-08-28
8
2021-07-14
7
1
7
2021-09-10
9
2021-09-19
7
1
8
2022-04-25
11
2021-12-25
7
1
9
null
null
2021-12-30
7
1
10
null
null
2022-02-10
7
1
11
null
null
2022-03-15
7
1
12
null
null
2022-03-15
7
1
13
null
null
2022-06-14
7
1
14
null
null
Fiddle
I am using MS Access and I am trying to create a query between two tables and merge same rows base on:
cust_id = cust_id and
a_date = f_date and
price = paid
and have the desire output.
My data now:
tblapp
app_id cust_id a_date price a_memo
------------------------------------------
1 1 10/10/20 20 hello
2 1 11/10/20 10 bye
3 2 12/10/20 30 hi
4 2 12/10/20 30 text
5 2 12/10/20 30 lol
6 2 12/10/20 30 ciao
7 3 14/10/20 25 peace
tblfin
fin_id cust_id f_date paid
----------------------------------
1 1 10/10/20 20
2 1 11/10/20 10
3 1 11/10/20 10
4 2 12/10/20 30
5 3 14/10/20 25
As you can see,
cust_id = 1 on 10/10/20 with bill 20 and paid 20
cust_id = 1 on 11/10/20 with bill 10 and paid 10 + 10
cust_id = 2 on 12/10/20 with bill 30 + 30 + 30 + 30 and paid 30
cust_id = 3 on 14/10/20 with bill 25 and paid 25
Derire query output:
app_id cust_id a_date price a_memo fin_id cust_id f_date paid
----------------------------------------------------------------------
1 1 10/10/20 20 hello 1 1 10/10/20 20
2 1 11/10/20 10 bye 2 1 11/10/20 10
3 2 12/10/20 30 hi 4 2 12/10/20 30
7 3 14/10/20 25 peace 5 3 14/10/20 25
Tried the following sql but i am getting duplicates(like cust_id 1 and 2 where data rows are not the same in two tables):
SELECT f.fin_id,
f.cust_id,
f.f_date,
f.paid,
a.app_id,
a.cust_id,
a.a_date,
a.price,
a.a_memo
FROM tblfin AS f
LEFT JOIN tblapp AS a ON (f.cust_id=a.cust_id)
AND (f.f_date=a.a_date)
AND (f.paid=a.price);
Solution using MySQL is welcome. Thank you.
I'm looking for the best way to produce the result set in the scenario provided. My cust3 column isn't identifying the repeated values in the indvid2 column. The end result I'm looking for is to exclude the rows where key1 and key2 match (ids:1,2,6 and 7), then sum accounts where the acctids match.If there's a better way to code this, I welcome all suggestions. Thanks!
WITH T10 as (
SELECT acctid,invid,(
case
when invid like '%-R' then left (InvID,LEN(invid) -2) else InvID
END) as InvID2
FROM table x
GROUP BY acctID,invID
),
T11 as (
SELECT acctid, Invid2, COUNT(InvID2) as cust3
FROM T10
GROUP BY InvID2,acctid
HAVING
COUNT (InvID2) > 1
)
select DISTINCT
a.acctid,
a.name,
b.invid,
C.invid2,
D.cust3,
b.amt,
b.key1,
b.key2
from table a
inner join table b (nolock) on a.acctid = b.acctid
inner join T10 C (nolock) on b.invid = c.invid
inner join T11 D (nolock) on C.invid2 = D.invid2
Resultset
id acctID name invid invid2 Cust3 amt key1 key2
1 123 James 101 101 2 $500 NULL 6789
2 123 james 101-R 101 2 ($500) 6789 NULL
3 123 James 102 102 2 $350 NULL NULL
4 123 James 103 103 2 $200 NULL NULL
5 246 Tony 98-R 98 2 ($750) 7423 NULL
6 432 David 45 45 2 $100 NULL 9634
7 432 David 45-R 45 2 ($100) 9634 NULL
8 359 Stan 39-R 39 2 ($50) 6157 NULL
9 753 George 95 95 2 $365 NULL NULL
10 753 George 108 108 2 $100 NULL NULL
Desired Resultset
id acctID name invid invid2 Cust3 amt key1 key2
1 123 James 101 101 2 $500 NULL 6789
2 123 james 101-R 101 2 ($500) 6789 NULL
3 123 James 102 102 1 $350 NULL NULL
4 123 James 103 103 1 $200 NULL NULL
5 246 Tony 98-R 98 1 ($750) 7423 NULL
6 432 David 45 45 2 $100 NULL 9634
7 432 David 45-R 45 2 ($100) 9634 NULL
8 359 Stan 39-R 39 1 ($50) 6157 NULL
9 753 George 95 95 1 $365 NULL NULL
10 753 George 108 108 1 $100 NULL NULL
Then to sum amt by acctid
id acctid name amt
1 123 James $550
2 246 Tony ($750)
3 359 Stan ($50)
4 753 George $465
Something like:
;WITH Keys as (
SELECT Key1.acctID, [Key] = Key1.Key1
FROM YourTable as Key1
INNER JOIN YourTable as Key2
ON Key1.Key1 = Key2.Key2 and Key1.acctID = Key2.acctID
)
SELECT t.acctID, t.name, amt = SUM(t.amt)
FROM YourTable as t
LEFT JOIN Keys as k
ON t.acctID = k.acctID and (t.Key1 = [Key] or t.Key2 = [Key])
WHERE k.acctID is Null
GROUP BY t.acctID, t.name
I am writing a SQL script that is to insert a new record using data from two rows that are under the same AccountID.
My table looks like the following:
AccountID | ActivityId | DisplayDetails | TransactionDate | EnvironmentId
============================================================================
1 7 Display1 2015-02-02 00:00:00.000 1
1 8 DisplayThis1 2018-02-02 00:00:00.000 1
1 7 Display2 1999-02-02 00:00:00.000 2
1 8 DisplayThis2 2000-02-02 00:00:00.000 2
My fix is to find find each 7,8 combination and insert a new row with ActivityId 78 that gets the DisplayDetails from ActivityId 7 and TransactionDate from ActivityId 8.
My queries looks like the following:
SELECT *
INTO #ActivityEight
FROM Account A
WHERE A.ActivityId = 8
INSERT INTO #Account (AccountId, ActivityId, DisplayDetails, TransactionDate)
SELECT VL.AccountId, 78, S.DisplayDetails, VL.TransactionDate
FROM #temp2 VL WITH(NOLOCK)
JOIN #ActivityEight S
ON VL.AccountId = S.AccountId
WHERE VL.ActivityId = 7
However when I run SELECT * FROM Account I get a 78 row for each 7 and 8 row, when I should only get 1 78 row per 7 and 8 combination.
AccountID | ActivityId | DisplayDetails | TransactionDate | EnvironmentId
=============================================================================
1 7 Display1 2015-02-02 00:00:00.000 1
1 8 DisplayThis1 2018-02-02 00:00:00.000 1
1 7 Display2 1999-02-02 00:00:00.000 2
1 8 DisplayThis2 2000-02-02 00:00:00.000 2
1 78 DisplayThis1 2015-02-02 00:00:00.000 NULL
1 78 DisplayThis2 2015-02-02 00:00:00.000 NULL
1 78 DisplayThis1 1999-02-02 00:00:00.000 NULL
1 78 DisplayThis2 1999-02-02 00:00:00.000 NULL
I believe I can utilize the EnvironmentId to achieve the desired functionality, but I'm not sure how.
Any help would be appreciated.
Thanks!
I think this will help you
INSERT INTO #Account (AccountId, ActivityId, DisplayDetails, TransactionDate)
SELECT VL.AccountId, 78, S.DisplayDetails, VL.TransactionDate
FROM Account VL WITH(NOLOCK)
JOIN Account S ON VL.AccountId = S.AccountId and VL.EnvironmentId = S.EnvironmentId
WHERE VL.ActivityId = 7 and S.ActivityId = 8
I would like to get report for drink purchased in whole month but price of the drink can change any time in month and I would like to get report for a month with price change
I have two tables
SELECT [ID]
,[DrinkID]
,[UserID]
,[qty]
,[DateTaken]
FROM [Snacks].[dbo].[DrinkHistory]
SELECT [ID]
,[DrinkID]
,[UserID]
,[qty]
,[DateTaken]
FROM [Snacks].[dbo].[DrinkHistory]
[DrinkHistory]:
ID DrinkID UserID qty DateTaken
----------------------------------------------------------------------
1 1 1 1 2014-05-10
2 1 1 2 2014-05-15
3 2 1 1 2014-06-01
4 2 1 4 2014-06-01
5 1 1 3 2014-05-20
6 1 1 4 2014-05-30
[DrinkPricesEffect]:
PriceID DrinkID DrinkPrice PriceEffectiveDate IsCurrent
-----------------------------------------------------------------------------------
1 1 10.00 2014-05-01 1
2 1 20.00 2014-05-20 1
3 2 9.00 2014-06-01 1
4 2 8.00 2014-01-01 1
5 1 30.00 2014-05-25 1
6 1 40.00 2014-05-28 1
I would like to have result as under date taken between 2014-05-1 to 2014-05-31
DrinkId Qty Price DateTaken PriceEffectiveDate
-----------------------------------------------------------------------
1 1 10 2014-05-10 2014-05-01
1 2 10 2014-05-15 2014-05-01
1 3 20 2014-05-20 2014-05-20
1 4 40 2014-05-30 2014-05-28
Is there any who can give me some idea or write query for me?
If your drink price can change any time in a month you could additionaly save the price for each purchase. I would add a column [PricePaid] to the table [DrinkHistory].
When adding a record to [DrinkHistory], the price for the drink at the moment is known, but later it might change so you save the current price to the history...
Then for your result you could just display the Whole [DrinkHistory]
SELECT * FROM DrinkHistory;
This should work:
Select
DH.DrinkId,
DH.Qty,
DPE.DrinkPrice AS Price,
DH.DateTaken,
DPE.PriceEffectiveDate
FROM DrinkHistory DH
JOIN DrinkPricesEffect DPE ON DPE.PriceID =
(
Select Top 1 PriceID FROM
(
Select PriceID,RANK() OVER(ORDER BY PriceEffectiveDate DESC ) AS rnk
FROM DrinkPricesEffect
WHERE DH.DrinkId = DrinkId AND
DH.DateTaken >= PriceEffectiveDate
)SubQ WHERE rnk = 1
)
WHERE DH.DateTaken Between '2014-05-01' AND '2014-05-30'
Here you can find the SQL Fiddle link: http://sqlfiddle.com/#!6/5f8fb/26/0