I have a problem.
I have a result query with order numbers item numbers and different quantities for each item.
I want to distinct all item numbers and count all quantities for each specific item number.
Here is an example table (Query output):
| OrderNo | ItemNo | Qty |
--------------------------------
| XY123 | 3000 | 4 |
| XY123 | 2000 | 2 |
| ZZ999 | 3000 | 6 |
| ZZ999 | 1000 | 3 |
| PP333 | 1000 | 5 |
The distinct values for all sold items with their item numbers would be:
1000 -> Count/Sum the Qty
2000 -> Count/Sum the Qty
3000 -> Count/Sum the Qty
Result:
| ItemNo | QtyTotal |
-------------------------
| 1000 | 8 |
| 2000 | 2 |
| 3000 | 10 |
My problem is, when I DISTINCT the ItemNo, i dont know how to SUM their corresponding quantities before. I need some advice please.
You can use group by:
select ItemNo, sum(Qty) as QtyTotal
from QueryOutput q
group by ItemNo;
You can replace QueryOutput with a query that produces your example table.
Fiddle
Related
I have a table of items in the shop, an item may have different entries with same serial number (sn) (but different ids) if the same item was bought again later on with different price (price here is how much did a single item cost the shop)
id | sn | amount | price
----+------+--------+-------
1 | AP01 | 100 | 7
2 | AP01 | 50 | 8
3 | X2P0 | 200 | 12
4 | X2P0 | 30 | 18
5 | STT0 | 20 | 20
6 | PLX1 | 200 | 10
and a table of transactions
id | item_id | price
----+---------+-------
1 | 1 | 10
2 | 1 | 9
3 | 1 | 10
4 | 2 | 11
5 | 3 | 15
6 | 3 | 15
7 | 3 | 15
8 | 4 | 18
9 | 5 | 22
10 | 5 | 22
11 | 5 | 22
12 | 5 | 22
and transaction.item_id references items(id)
I want to group items by serial number (sn), get their sum(amount) and avg(price), and join it with a sold column that counts number of transactions with referenced id
I did the first with
select i.sn, sum(i.amount), avg(i.price) from items i group by i.sn;
sn | sum | avg
------+-----+---------------------
STT0 | 20 | 20.0000000000000000
PLX1 | 200 | 10.0000000000000000
AP01 | 150 | 7.5000000000000000
X2P0 | 230 | 15.0000000000000000
Then when I tried to join it with transactions I got strange results
select i.sn, sum(i.amount), avg(i.price) avg_cost, count(t.item_id) sold, sum(t.price) profit from items i left join transactions t on (i.id=t.item_id) group by i.sn;
sn | sum | avg_cost | sold | profit
------+-----+---------------------+------+--------
STT0 | 80 | 20.0000000000000000 | 4 | 88
PLX1 | 200 | 10.0000000000000000 | 0 | (null)
AP01 | 350 | 7.2500000000000000 | 4 | 40
X2P0 | 630 | 13.5000000000000000 | 4 | 63
As you can see, only the sold and profit columns show correct results, the sum and avg show different results than the expected
I can't separate the statements because I am not sure how can I add the count to the sn group which has the item_id as its id?
select
j.sn,
j.sum,
j.avg,
count(item_id)
from (
select
i.sn,
sum(i.amount),
avg(i.price)
from items i
group by i.sn
) j
left join transactions t
on (j.id???=t.item_id);
There are multiple matches in both tables, so the join multiplies the rows (and eventually produces wron results). I would recommend pre-joining, then aggregating:
select
sn,
sum(amount) total_amount,
avg(price) avg_price,
sum(no_transactions) no_transactions
from (
select
i.*,
(
select count(*)
from transactions t
where t.item_id = i.id
) no_transactions
from items i
) t
group by sn
Trying to get data from txt file which contains buys and sells like in the format below.
I want to group by items and subtract each other.
I made three queries like totalin and totalout and stock but when I subtract out from in, some items are missing which has not been sold.
This is the data table
+------+---------+--------+
| TYPE | ITEM | AMOUNT |
+------+---------+--------+
| BUY | APPLE | 100 |
| BUY | ORANGE | 100 |
| BUY | APPLE | 200 |
| BUY | ORANGE | 200 |
| SELL | APPLE | 50 |
| SELL | APPLE | 50 |
| SELL | ORANGE | 100 |
| SELL | ORANGE | 100 |
| BUY | COCONUT | 50 |
| SELL | BANANE | 30 |
+------+---------+--------+
I want this output
+---------+--------+
| ITEM | AMOUNT |
+---------+--------+
| APPLE | 200 |
| BANANE | -30 |
| COCONUT | 50 |
| ORANGE | 100 |
+---------+--------+
I made 3 queries for the result that i want, but unfortunately I am stuck.
Here is my queries
QUERY 1 TOTAL IN:
SELECT DATA.TYPE, DATA.ITEM, Sum(DATA.AMOUNT) AS TOTALIN
FROM DATA
GROUP BY DATA.TYPE, DATA.ITEM
HAVING (((DATA.TYPE)="BUY"));
QUERY 2 TOTAL OUT:
SELECT DATA.TYPE, DATA.ITEM, Sum(DATA.AMOUNT) AS TOTALOUT
FROM DATA
GROUP BY DATA.TYPE, DATA.ITEM
HAVING (((DATA.TYPE)="SELL"));
QUERY 3 STOCK:
SELECT DATA.ITEM, [BUY]![TOTAL_IN]-[SELL]![TOTAL_OUT] AS STOK
FROM (DATA INNER JOIN BUY ON DATA.ITEM = BUY.ITEM) INNER JOIN SELL ON DATA.ITEM = SELL.ITEM
GROUP BY DATA.ITEM, [BUY]![TOTAL_IN]-[SELL]![TOTAL_OUT];
How can I made a query which shows the rest as stock.
Many thanks.
You can sum in one go like:
SELECT ITEM,
Sum(iif(data.type = "BUY", AMOUNT, -AMOUNT)) AS Stock
FROM DATA
GROUP BY ITEM;
You can think of SELL as -ve and BUY as +ve Amount.
Then the query becomes as follows
select item
,sum(case when type='BUY' then Amount
when type='SELL' then -Amount
end) as Amount
from data_table
group by item
In MsAccess, you can apply an if-logic block using the iif function and run the query in one step as below.
SELECT item,
SUM(iif ([type] = "SELL", (-1 * Amount), Amount)) as amounts
FROM data
GROUP BY item
I'm trying to select some information from a database.
I get a database with columns like:
Ident,Name,Length,Width,Quantity,Planned
Table data is as follow
+-----------+-----------+---------+---------+------------+---------+
| Ident | Name | Length | Width | Quantity | Planned |
+-----------+-----------+---------+---------+------------+---------+
| 12345 | Name1 | 1500 | 1000 | 20 | 5 |
| 23456 | Name1 | 1500 | 1000 | 30 | 13 |
| 34567 | Name1 | 2500 | 1000 | 10 | 2 |
| 45678 | Name1 | 2500 | 1000 | 10 | 4 |
| 56789 | Name1 | 1500 | 1200 | 20 | 3 |
+-----------+-----------+---------+---------+------------+---------+
my desired result, would be to group rows where "Name,Length and Width" are equal, sum the "Quantity" and reduce it by the sum of "Planned"
e.g:
- Name1,1500,1000,32 --- (32 because (20+30)-(5+13))
- Name1,2500,1000,14 --- (14 because (10+10)-(2+4)))
- Name1,1500,1200,17
now I got problems how to group or join these information to get the wished select. may be some you of can help me.. if further information's required, please write it in comment.
You can achieve it by grouping your table and subtract sums of Quantity and Planned.
select
Name
,Length
,Width
,sum(Quantity) - sum(Planned)
from yourTable
group by Name,Length,Width
select
A1.Name,A1.Length,A1.Width,((A1.Quantity + A2.Quantity) -(A1.Planned+A2.Planned))
from `Table` AS A1, `Table` AS A2
where A1.Name = A2.Name and A1.Length = A2.Length and A1.Width = A2.Width
group by (whatever)
So you are comparing these columns form the same table?
I have a source table that has a few different prices for each product (depending on the order quantity). Those prices are listed vertically, so each product could have more than one row to display its prices.
Example:
ID | Quantity | Price
--------------------------
001 | 5 | 100
001 | 15 | 90
001 | 50 | 80
002 | 10 | 20
002 | 20 | 15
002 | 30 | 10
002 | 40 | 5
The other table I have is the result table in which there is only one row for each product, but there are five columns that each could contain the quantity and price for each row of the source table.
Example:
ID | Quantity_1 | Price_1 | Quantity_2 | Price_2 | Quantity_3 | Price_3 | Quantity_4 | Price_4 | Quantity_5 | Price_5
---------------------------------------------------------------------------------------------------------------------------
001 | | | | | | | | | |
002 | | | | | | | | | |
Result:
ID | Quantity_1 | Price_1 | Quantity_2 | Price_2 | Quantity_3 | Price_3 | Quantity_4 | Price_4 | Quantity_5 | Price_5
---------------------------------------------------------------------------------------------------------------------------
001 | 5 | 100 | 15 | 90 | 50 | 80 | | | |
002 | 10 | 20 | 20 | 15 | 30 | 10 | 40 | 5 | |
Here is my Python/SQL solution for this (I'm fully aware that this could not work in any way, but this was the only way for me to show you my interpretation of a solution to this problem):
For Each result_ID In result_table.ID:
Subselect = (SELECT * FROM source_table WHERE source_table.ID = result_ID ORDER BY source_table.Quantity) # the Subselect should only contain rows where the IDs are the same
For n in Range(0, len(Subselect)): # n (index) should start from 0 to last row - 1
price_column_name = 'Price_' & (n + 1)
quantity_column_name = 'Quantity_' & (n + 1)
(UPDATE result_table
SET result_table.price_column_name = Subselect[n].Price, # this should be the price of the n-th row in Subselect
result_table.quantity_column_name = Subselect[n].Quantity # this should be the quantity of the n-th row in Subselect
WHERE result_table.ID = Subselect[n].ID)
I honestly have no idea how to do this with only SQL or VBA (those are the only languages I'd be able to use -> MS-Access).
This is a pain in MS Access. If you can enumerate the values, you can pivot them.
If we assume that price is unique (or quantity or both), then you can generate such a column:
select id,
max(iif(seqnum = 1, quantity, null)) as quantity_1,
max(iif(seqnum = 1, price, null)) as price_1,
. . .
from (select st.*,
(select count(*)
from source_table st2
where st2.id = st.id and st2.price >= st.price
) as seqnum
from source_table st
) st
group by id;
I should note that another solution would use data frames in Python. If you want to take that route, ask another question and tag it with the appropriate Python tags. This question is clearly a SQL question.
I have a MS Access table tracking quantities of products at end month as below.
I need to generate the latest quantity for a specified ProductId at a specified date e.g.
The Quantity for ProductId 1 on 15-Feb-12 is 100, The Quantity for ProductId 1 on 15-Mar-12 is 150.
ProductId | ReportingDate | Quantity|
1 | 31-Jan-12 | 100 |
2 | 31-Jan-12 | 200 |
1 | 28-Feb-12 | 150 |
2 | 28-Feb-12 | 250 |
1 | 31-Mar-12 | 180 |
2 | 31-Mar-12 | 280 |
My SQL statement below bring all previous values instead the latest one only. Could anyone assist me troubleshoot the query.
SELECT Sheet1.ProductId, Max(Sheet1.ReportingDate) AS MaxOfReportingDate, Sheet1.Quantity
FROM Sheet1
GROUP BY Sheet1.ProductId, Sheet1.Quantity, Sheet1.ReportingDate, Sheet1.ProductId
HAVING (((Sheet1.ReportingDate)<#3/15/2012#) AND ((Sheet1.ProductId)=1))
Here's #naveen's idea:
SELECT TOP 1 Sheet1.ProductId, Sheet1.ReportingDate AS MaxOfReportingDate, Sheet1.Quantity
FROM Sheet1
WHERE (Sheet1.ProductId = 1)
AND (Sheet1.ReportingDate < #2012/03/15#)
ORDER BY Sheet1.ReportingDate DESC
Although note that MsAccess selects top with ties, so this won't work if you have more than one row per ReportingDate, ProductId combo. (But at the same time, this means that the data isn't deterministic anyway)
Edit - I meant that if you have a contradiction in your data like below, you'll get 2 rows back.
ProductId | ReportingDate | Quantity|
1 | 31-Jan-12 | 100
1 | 31-Jan-12 | 200