I have a query with a result like this
No date No.PO product type div price
1. 01-10-2012 | AAA1 | X1 | 1 | SBS | 100
2. 09-10-2012 | ABA1 | X1 | 2 | SBS | 150
3. 11-10-2012 | ACC1 | X1 | 1 | SBS | 110
4. 15-10-2012 | ACD1 | X1 | 1 | DBS | 115
5. 20-10-2012 | ADA1 | X1 | 1 | SBS | 112
6. 23-10-2012 | AFA1 | X1 | 2 | SBS | 160
7. 27-10-2012 | AHA1 | X1 | 1 | SBS | 120
and a few thousand record . . .
and the result should be show like this
No date No.PO product type div price
1. 27-10-2012 | AHA1 | X1 | 1 | SBS | 120
2. 23-10-2012 | AFA1 | X1 | 2 | SBS | 160
3. 15-10-2012 | ACD1 | X1 | 1 | DBS | 115
Here is the rules
Distinct on product type and div
Only the last transaction that i wanna show (it means the biggest date among the duplicate product, type and div data)
All of the field (date, No.PO, product, type, div and price) must be showed
Hopefully my description is clear now . .
Anyone can help me with the right query?
Please try the query and check the result, mere guess.
SELECT * FROM(
SELECT
ROW_NUMBER() OVER (Partition by [Type], [Div] ORDER BY [Date] DESC) RowNum,
[Date],
[No.PO],
[Product],
[Type],
[Div],
[Price]
FROM TABLE_Name
)x WHERE RowNum=1
ORDER BY [Date] DESC
Related
query which calculates the total amount in dollars of stolen goods for each month for restricted and neutral items.
I have 2 tables
first
| UPC | item | in_stock | price | ship_day | class |
1 | 101 | 'generator' | 16 | 5999 | '12-1-2065'| 'restricted'
2 | 102 | 'blank tape' | 30 | 3000 | '12-1-2065'| 'neutral'
second
| UPC | unit_stolen |
1 | 101 | 4 |
1 | 401 | 2 |
If I understand correctly, this is basically a join and group by:
select date_trunc('mon', f.ship_day) as yyyymm,
sum(f.price * s.unit_stolen) filter (where f.class = 'restricted'),
sum(f.price * s.unit_stolen) filter (where f.class = 'neutral')
from first f join
second s
on f.upc = s.upc
group by date_trunc('mon', f.ship_day)
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'm trying to create a table to show the activy per session on a website.
Should look like something like that
Prefered table:
+------------+---------+--------------+-----------+
| SessionID | PageSeq| Page | Duration |
+------------+---------+--------------+-----------+
| 1 | 1 | Home | 5 |
| 1 | 2 | Sales | 10 |
| 1 | 3 | Contact | 9 |
| 2 | 1 | Sales | 5 |
| 3 | 1 | Home | 30 |
| 3 | 2 | Sales | 5 |
+------------+---------+--------------+-----------+
Unfortunetly my current dataset doesn't have information about the session_id, but can be deducted based on the time and the path.
Current table:
+------------------+---------+------------+---------------+----------+
| DATE_HOUR_MINUTE | Page | Prev_page | Total_session | Duration |
+------------------+---------+------------+---------------+----------+
| 201801012020 | Home | (entrance) | 24 | 5 |
| 201801012020 | Sales | Home | 24 | 10 |
| 201801012020 | Contact | Sales | 24 | 9 |
| 201801012020 | Sales | (entrance) | 5 | 5 |
| 201801012020 | Home | (entrance) | 35 | 30 |
| 201801012020 | Sales | Home | 35 | 5 |
+------------------+---------+------------+---------------+----------+
What is the best way to turn the current table into the prefered table format?
I've tried searching for nested tables, looped tables, haven't found a something related to this problem yet.
So if you can risk sessions starting at the same time with the same duration, should be easy enough to do using a recursive query.
;WITH sessionTree AS
(
SELECT ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) as sessionId
, 1 AS PageSeq
, *
FROM Session
WHERE PrevPage = '(entrance)'
UNION ALL
SELECT prev.sessionId
, prev.PageSeq + 1
, next.*
FROM sessionTree prev
JOIN Session next
ON next.TotalDuration = prev.TotalDuration
AND next.PrevPage = prev.Page
AND next.date_hour_minute >= prev.date_hour_minute
)
SELECT * FROM sessionTree
ORDER BY sessionId, PageSeq
sessionId is generated for each entry with (entrance) as prevPage, with PageSeq = 1. Then in the recursive part visits with the timestamp later than the previous page and with the same duration are joined on prev.page = next.PrevPage condition.
Here's a working example on dbfiddle
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.
Suppose that I have a table name as tblTemp which has data as below:
| ID | AMOUNT |
----------------
| 1 | 10 |
| 1-1 | 20 |
| 1-2 | 30 |
| 1-3 | 40 |
| 2 | 50 |
| 3 | 60 |
| 4 | 70 |
| 4-1 | 80 |
| 5 | 90 |
| 6 | 100 |
ID will be format as X (without dash) if it's only one ID or (X-Y) format if new ID (Y) is child of (X).
I want to add a new column (Total Amount) to output as below:
| ID | AMOUNT | Total Amount |
---------------------------------
| 1 | 10 | 100 |
| 1-1 | 20 | 100 |
| 1-2 | 30 | 100 |
| 1-3 | 40 | 100 |
| 2 | 50 | 50 |
| 3 | 60 | 60 |
| 4 | 70 | 150 |
| 4-1 | 80 | 150 |
| 5 | 90 | 90 |
| 6 | 100 | 100 |
The "Total Amount" column is the calculate column which sum value in Amount column that the (X) in ID column is the same.
In order to get parent ID (X), I use the following SQL:
SELECT
ID, SUBSTRING (ID, 1,
IIF (CHARINDEX('-', ID) = 0,
len(ID),
CHARINDEX('-', ID) - 1)
), Amount
FROM
tblTemp
How Can I query like this in SQL Server 2012?
You can use sqlfiddle here to test it.
Thank You
Pengan
You have already done most of the work. To get the final result you can use your existing query and make it a subquery or use a CTE, then use sum() over() to get the result:
;with cte as
(
SELECT
ID,
SUBSTRING (ID, 1,
IIF (CHARINDEX('-', ID) = 0,
len(ID),
CHARINDEX('-', ID) - 1)
) id_val, Amount
FROM tblTemp
)
select id, amount, sum(amount) over(partition by id_val) total
from cte
See SQL Fiddle with Demo
You can do this using the sum() window function:
select id, amount,
SUM(amount) over (partition by (case when id like '%-%'
then left (id, charindex('-', id) - 1)
else id
end)
) as TotalAmount
from tblTemp t