I want to create a select query in SQL Server where I group the rows by a column (BaseId) and also order them by Status, RTime and Version. I want to add a column "isFirst" that has the value 1 if the BaseId value is the first in the group, and 0 if it's not.
My sample table:
Table name: Head
Id BaseId Name RTime Status Version
2 2 abc 04-12 12:34 1 1
3 3 xyz 04-12 13:10 9 1
4 2 abc 04-13 14:25 0 2
5 3 xyz 04-14 12:34 0 2
6 3 xyz 04-14 13:10 9 3
7 3 xyz 04-16 14:25 1 4
8 2 abc 04-16 17:40 1 3
9 9 sql 04-17 02:23 9 1
10 9 sql 04-17 07:31 0 2
Expected result:
isFirst Id BaseId Name RTime Status Version
1 10 9 sql 04-17 07:31 0 2
0 9 9 sql 04-17 02:23 9 1
1 5 3 xyz 04-14 12:34 0 2
0 7 3 xyz 04-16 14:25 1 4
0 6 3 xyz 04-14 13:10 9 3
0 3 3 xyz 04-12 13:10 9 1
1 4 2 abc 04-13 14:25 0 2
0 8 2 abc 04-16 17:40 1 3
0 2 2 abc 04-12 12:34 1 1
My query now looks like this:
SELECT *
FROM Head
ORDER BY BaseId desc, Status, RTime desc, Version desc
I think I should use CASE to create the isFirst column, but I've had no luck so far. Anyone could help me?
You can use row_number() and a case expression:
select
case when row_number() over(
partition by BaseId
order by Status, RTime desc, Version desc
) = 1
then 1
else 0
end isFirst,
h.*
from head h
order by BaseId desc, Status, RTime desc, Version desc
Related
Date Amt ytd mtd
01-Jan-21 1 2 2
01-Jan-21 1 2 2
02-Jan-21 1 3 3
03-Jan-21 1 4 4
01-Feb-21 1 5 1
02-Feb-21 1 6 2
03-Feb-21 1 7 3
04-Feb-21 1 8 4
05-Feb-21 1 9 5
01-Mar-21 1 10 1
02-Mar-21 1 11 2
03-Mar-21 1 12 3
04-Mar-21 1 13 4
01-Apr-21 1 14 1
02-Apr-21 1 15 2
03-Apr-21 1 16 3
01-May-21 1 17 1
02-May-21 1 18 2
03-May-21 1 19 3
04-May-21 1 20 4
05-May-21 1 21 5
06-May-21 1 22 6
I have the first two columns (Date, Amt) and i need the YTD and MTD columns in MS SQL so that i can show the above table.
Seems like a rolling COUNT OVER was used to calculate the ytd & mtd in the Oracle source.
(Personally, I would prefere RANK or DENSE_RANK)
And since Oracle datestamps can be casted to a DATE as-is.
SELECT [Date], Amt
, ytd = COUNT(*) OVER (ORDER BY CAST([Date] AS DATE))
, mtd = COUNT(*) OVER (PARTITION BY EOMONTH(CAST([Date] AS DATE)) ORDER BY CAST([Date] AS DATE))
FROM your_table
ORDER BY CAST([Date] AS DATE)
Date
Amt
ytd
mtd
01-Jan-21
1
2
2
01-Jan-21
1
2
2
02-Jan-21
1
3
3
03-Jan-21
1
4
4
01-Feb-21
1
5
1
02-Feb-21
1
6
2
03-Feb-21
1
7
3
04-Feb-21
1
8
4
05-Feb-21
1
9
5
db<>fiddle here
I wish to use some sort of SQL array to subtract values from a certain row (QTYOnHand) that decreases that row value every time and throws it into a rolling calculation for the other rows. I've been thinking of some sort of Self Join/Temp Table solution, but not sure how to formulate. Also, All the results will be partitioned by the ItemID below. Help would be appreciated.
Here's some data, If I do a simple row by row subtraction I will get this: 17-3 = 14, 17-5 = 12 and so on.
(Item_ID) (ItemQty) (QTYOnHand) (QtyOnHand - ItemQty)
123 3 17 14
123 5 17 12
123 4 17 13
456 7 12 5
456 8 12 4
456 2 12 10
456 3 12 9
789 2 6 4
789 2 6 4
789 2 6 4
These are the results that I want, where I subtract every next value from the new QTYOnHand-ItemQty column value. Looks like 17-3 then 14 -5 then 9 -4 for Item_ID (123):
(Item_ID) (ItemQty) (QTYOnHand) (QtyOnHand - ItemQty)
123 3 17 14
123 5 17 9
123 4 17 5
456 7 12 5
456 8 12 -3
456 2 12 -5
456 3 12 -8
789 2 6 4
789 2 6 2
789 2 6 0
try the following:
;with cte as
(
select *, ROW_NUMBER() over (partition by Item_ID order by Item_ID) rn
from YourTable
)
, cte2 as
(
select Item_ID, ItemQty, QTYOnHand, Case when rn = 1 then QTYOnHand else 0 end - ItemQty as calc, rn
from cte
)
select Item_ID, ItemQty, QTYOnHand, sum(calc) over (partition by Item_ID order by rn) as [QtyOnHand - ItemQty]
from cte2 t1
Please find the db<>fiddle here.
I have a table with the following data that I generated with a date table
date day_num (DAY_NUM % 7)
2019-07-09 0 0
2019-07-10 1 1
2019-07-11 2 2
2019-07-12 3 3
2019-07-13 4 4
2019-07-14 5 5
2019-07-15 6 6
2019-07-16 7 0
I basically want to get a week number that restarts at 0 and I need help figuring out the last part
The final output would look like this
date day_num (DAY_NUM % 7) week num
2019-07-09 0 0 1
2019-07-10 1 1 1
2019-07-11 2 2 1
2019-07-12 3 3 1
2019-07-13 4 4 1
2019-07-14 5 5 1
2019-07-15 6 6 1
2019-07-16 7 0 2
This is the sql I have so far
select
SUB.*,
DAY_NUM%7
FROM(
SELECT
DISTINCT
id_date,
row_number() over(order by id_date) -1 as day_num
FROM schema.date_tbl
WHERE Id_date BETWEEN "2019-07-09" AND date_add("2019-07-09",146)
Building on your query:
select SUB.*, DAY_NUM%7,
DENSE_RANK() OVER (ORDER BY FLOOR(DAY_NUM / 7)) as weeknum
FROM (SELECT DISTINCT id_date,
row_number() over(order by id_date) -1 as day_num
FROM schema.date_tbl
WHERE Id_date BETWEEN "2019-07-09" AND date_add("2019-07-09", 146)
) x
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
I have a set of data that looks like below
Name Time Perc Group Mode Control Cancelled
A 10:52 10.10 10 0 1 0
B 09:00 10.23 10 1 1 1
C 12:02 12.01 12 0 1 1
D 10:45 12.12 12 1 7 1
E 12:54 12.56 12 1 3 0
F 01:01 13.90 13 0 11 1
G 02:45 13.23 13 1 12 1
H 09:10 13.21 13 1 1 0
I need an output like below;
Group Perc Cancelled
10 20.33 1
12 36.69 2
13 40.34 2
What I'm getting was something like;
Group Perc Cancelled
10 20.33 5
12 36.69 5
13 40.34 5
I don't know what to call this, I have something in my mind to call it like CTE?, but I really can't figure it out.
Here's my source;
SELECT Group, SUM(Perc), Cancelled FROM
(SELECT Group, Perc, (SELECT COUNT(*) FROM tblName WHERE Cancelled=1) AS Cancelled FROM tblName WHERE 1=1 AND Group>=10)dt
GROUP BY Group, Cancelled
From your example, you don't need the nested query, any recursion, etc...
SELECT
Group,
SUM(Perc) AS total_perc,
SUM(cancelled) AS total_cancelled
FROM
tblName
WHERE
1=1
AND Group >= 10
GROUP BY
Group
If you did have some different data, then you might want to use something like...
SUM(CASE WHEN cancelled > 0 THEN 1 ELSE 0 END) AS total_cancelled