I have table in MS Access with columns Year, Period (values just 1 and 2), Costs_Per_Capita and CALCULATED_Period_Avg_Costs, PK is ID.
I need to calculate CALCULATED_Period_Avg_Costs. It should return average of Costs_Per_Capita for given period from Period column. In Excel I do this with SUMIF/COUNTIF which returns Average IF.
Do you have some advice how to write a code in SQL to do that?
Results should look like:
Costs_Per_Capita Period CALCULATED_Period_Avg_Costs
15,505 1 15976.27582
16,368 1 15976.27582
16,037 1 15976.27582
15,995 1 15976.27582
15,000 2 16000
17,000 2 16000
I used statement:
SELECT
Costs_Per_Capita, Period
IFF (Period = 1,
(Select AVG(Costs_Per_Capita) From Costs Where Period = 1),
(Select AVG(Costs_Per_Capita) From Costs Where Period = 2)
AS result
FROM Costs;
Still gets "syntax error (missing operator) in a query expression ..."
I think I know what you're asking for and I believe this is what you're looking for -
Select
Costs_Per_Capita,
Related_Period_ID,
(Select
Case when Related_Period_ID = 1 then
(Select
AVG(Costs_Per_Capita)
From Costs_Per_Capita_Table
Where Related_Period_ID = 1)
else
(Select
AVG(Costs_Per_Capita)
From Costs_Per_Capita_Table
Where Related_Period_ID = 2)
END
)
From
Costs_Per_Capita_Table
Changing CASE to IFF
Select
IFF (Related_Period_ID = 1,
(Select
AVG(Costs_Per_Capita)
From Costs_Per_Capita_Table
Where Related_Period_ID = 1),
(Select
AVG(Costs_Per_Capita)
From Costs_Per_Capita_Table
Where Related_Period_ID = 2)
I did this with:
SELECT Costs.Costs_Per_Capita, Costs.Period,
IIF(Costs.Period = 1,
(Select AVG(Costs_Per_Capita) From Costs Where Period = 1),
(Select AVG(Costs_Per_Capita) From Costs Where Period = 2))
AS result
FROM Costs;
other way, better if more periods apper is using subquery:
SELECT Costs.Period, Costs.Costs_Per_Capita, tmpQry.CALCULATED_Period_Avg_Costs
FROM Costs INNER JOIN (SELECT Costs.Period, Avg(Costs.Costs_Per_Capita)
AS CALCULATED_Period_Avg_Costs FROM Costs
GROUP BY Costs.Period) AS tmpQry ON Costs.Period = tmpQry.Period;
maybe someone will use it later on...
Select CostsPerCapital, Period, avg(CostPerCapita) over (partition by Period)
From Table
Where....
Order by ...
Related
I need select values from a table and returns the total hours for all categories and their occurrences. The challenge is that there are different totals for each occurrence.
My query:
SELECT c.Category,
c.HrsFirstOccur,
c.HrsAddlOccur,
COUNT(*) AS Occurrences
FROM dbo.Categories sc
INNER JOIN dbo.Categories c
ON sc.CategoryID = c.CategoryID
INNER JOIN dbo.OrderHistory oh
ON sc.GONumber = oh.OrderNumber
AND sc.Item = oh.ItemNumber
WHERE sc.BusinessGroupID = 1
AND oh.OrderNumber = 500
AND oh.ItemNumber = '100'
GROUP BY c.Category, c.HrsFirstOccur, c.HrsAddlOccur
returns the following results:
Category
HrsFirstOccur
HrsAddlOccur
Occurrences
Inertia
24
16
2
Lights
1
0.5
4
Labor
10
0
1
The total is calculated based on the number of occurrences. The first one is totaled then for each additional occurrence, the HrsAddlOccur is used.
My final result should be (24 + 16) + (1 + 0.5 + 0.5 + 0.5) + 10 for a grand total of 52.5.
How do I loop and process the results to total this up?
The total is calculated based on the number of occurrences. The first one is totaled then for each additional occurrence, the HrsAddlOccur is used.
SQL databases understand arithmetic. You can perform the computation on each row. As I understand, the logic you want is:
SELECT
c.Category,
c.HrsFirstOccur,
c.HrsAddlOccur,
COUNT(*) AS Occurrences,
c.HrsFirstOccur + ( COUNT(*) - 1 ) * HrsAddlOccur As Total
FROM ... < rest of your query > ..
Later on you can aggregate the whole resultset to get the grand total:
SELECT SUM(Total) GrandTotal
FROM (
... < above query > ..
) t
you can sum them simply up
WITH CTE as(SELECT c.Category,
c.HrsFirstOccur,
c.HrsAddlOccur,
COUNT(*) AS Occurrences
FROM dbo.Categories sc
INNER JOIN dbo.Categories c ON sc.CategoryID = c.CategoryID
INNER JOIN dbo.OrderHistory oh ON sc.GONumber = oh.OrderNumber
AND sc.Item = oh.ItemNumber
WHERE sc.BusinessGroupID = 1
AND oh.OrderNumber = 500
AND oh.ItemNumber = '100')
SELECT SUM(HrsFirstOccur + (CAST((Occurrences -1) AS DECIMAL(8,2)) * HrsAddlOccur)) as total FROM CTE
it would do it like the example
CREATE TABLE CTE
([Category] varchar(7), [HrsFirstOccur] int, [HrsAddlOccur] DECIMAL(8,2), [Occurrences] int)
;
INSERT INTO CTE
([Category], [HrsFirstOccur], [HrsAddlOccur], [Occurrences])
VALUES
('Inertia', 24, 16, 2),
('Lights', 1, 0.5, 4),
('Labor', 10, 0, 1)
;
3 rows affected
SELECT SUM(HrsFirstOccur + (CAST((Occurrences -1) AS DECIMAL(8,2)) * HrsAddlOccur)) as total
FROM CTE
total
52.5000
fiddle
So I'm trying to work through a problem thats a bit hard to explain and I can't expose any of the data I'm working with but what Im trying to get my head around is the error below when running the query below - I've renamed some of the tables / columns for sensitivity issues but the structure should be the same
"Error from Query Engine - Out of range for integer: Infinity"
WITH accounts AS (
SELECT t.user_id
FROM table_a t
WHERE t.type like '%Something%'
),
CTE AS (
SELECT
st.x_user_id,
ad.name as client_name,
sum(case when st.score_type = 'Agility' then st.score_value else 0 end) as score,
st.obs_date,
ROW_NUMBER() OVER (PARTITION BY st.x_user_id,ad.name ORDER BY st.obs_date) AS rn
FROM client_scores st
LEFT JOIN account_details ad on ad.client_id = st.x_user_id
INNER JOIN accounts on st.x_user_id = accounts.user_id
--WHERE st.x_user_id IN (101011115,101012219)
WHERE st.obs_date >= '2020-05-18'
group by 1,2,4
)
SELECT
c1.x_user_id,
c1.client_name,
c1.score,
c1.obs_date,
CAST(COALESCE (((c1.score - c2.score) * 1.0 / c2.score) * 100, 0) AS INT) AS score_diff
FROM CTE c1
LEFT JOIN CTE c2 on c1.x_user_id = c2.x_user_id and c1.client_name = c2.client_name and c1.rn = c2.rn +2
I know the query works for sure because when I get rid of the first CTE and hard code 2 id's into a where clause i commented out it returns the data I want. But I also need it to run based on the 1st CTE which has ~5k unique id's
Here is a sample output if i try with 2 id's:
Based on the above number of row returned per id I would expect it should return 5000 * 3 rows = 150000.
What could be causing the out of range for integer error?
This line is likely your problem:
CAST(COALESCE (((c1.score - c2.score) * 1.0 / c2.score) * 100, 0) AS INT) AS score_diff
When the value of c2.score is 0, 1.0/c2.score will be infinity and will not fit into an integer type that you’re trying to cast it into.
The reason it’s working for the two users in your example is that they don’t have a 0 value for c2.score.
You might be able to fix this by changing to:
CAST(COALESCE (((c1.score - c2.score) * 1.0 / NULLIF(c2.score, 0)) * 100, 0) AS INT) AS score_diff
I have the following table and as you can see the ids are not the same. So I can't do group by. I need to count all the ones that are in sequence. Like from id 9 to 13, from id 20 to 23. How i do it?
Here's a solution with LAG and LEAD.
;WITH StackValues AS
(
SELECT
T.*,
PreviousStatus = LAG(T.Status, 1, 0) OVER (ORDER BY T.ID ASC),
NextStatus = LEAD(T.Status, 1, 0) OVER (ORDER BY T.ID ASC)
FROM
#YourTable AS T
),
ValuesToSum AS
(
SELECT
L.*,
ValueToSum = CASE
WHEN L.Status = 1 AND L.PreviousStatus = 1 AND L.NextStatus = 0 THEN 1
ELSE 0 END
FROM
StackValues AS L
)
SELECT
Total = SUM(V.ValueToSum)
FROM
ValuesToSum AS V
LAG will give you the N previous row (N = 1 for this example) while LEAD will give you the N next row (N = 1 for this example). The query generates another column (ValueToSum) based on the previous and next values and uses it's result to sum.
I am trying to figure out if there's a way to combine these 2 queries into a single one. I've run into the limits of what I know and can't figure out if this is possible or not.
This is the 1st query that gets last year sales for each day per location (for one month):
if object_id('tempdb..#LY_Data') is not null drop table #LY_Data
select
[LocationId] = ri.LocationId,
[LY_Date] = convert(date, ri.ReceiptDate),
[LY_Trans] = count(distinct ri.SalesReceiptId),
[LY_SoldQty] = convert(money, sum(ri.Qty)),
[LY_RetailAmount] = convert(money, sum(ri.ExtendedPrice)),
[LY_NetSalesAmount] = convert(money, sum(ri.ExtendedAmount))
into #LY_Data
from rpt.SalesReceiptItem ri
join #Location l
on ri.LocationId = l.Id
where ri.Ignored = 0
and ri.LineType = 1 /*Item*/
and ri.ReceiptDate between #_LYDateFrom and #_LYDateTo
group by
ri.LocationId,
ri.ReceiptDate
Then the 2nd query computes a ratio based on the total sales for that month for each day (to be used later):
if object_id('tempdb..#LY_Data2') is not null drop table #LY_Data2
select
[LocationId] = ly.LocationId,
[LY_Date] = ly.LY_Date,
[LY_Trans] = ly.LY_Trans,
[LY_RetailAmount] = ly.LY_RetailAmount,
[LY_NetSalesAmount] = ly.LY_NetSalesAmount,
[Ratio] = ly.LY_NetSalesAmount / t.MonthlySales
into #LY_Data2
from (
select
[LocationId] = ly.LocationId,
[MonthlySales] = sum(ly.LY_NetSalesAmount)
from #LY_Data ly
group by
ly.LocationId
) t
join #LY_Data ly
on t.LocationId = ly.LocationId
I've tried using the first query as a subquery in the 2nd query group-by from clause, but that won't let me select those columns in the outer most select statement (multi part identifier couldn't be bound).
As well as putting the first query into the join clause at the end of the 2nd query with the same issue.
There's probably something I'm missing, but I'm still pretty new to SQL so any help or just a pointer in the right direction would be greatly appreciated! :)
You can try using a Common Table Expression (CTE) and window function:
if object_id('tempdb..#LY_Data') is not null drop table #LY_Data
;with
cte AS
(
select
[LocationId] = ri.LocationId,
[LY_Date] = convert(date, ri.ReceiptDate),
[LY_Trans] = count(distinct ri.SalesReceiptId),
[LY_SoldQty] = convert(money, sum(ri.Qty)),
[LY_RetailAmount] = convert(money, sum(ri.ExtendedPrice)),
[LY_NetSalesAmount] = convert(money, sum(ri.ExtendedAmount))
from rpt.SalesReceiptItem ri
join #Location l
on ri.LocationId = l.Id
where ri.Ignored = 0
and ri.LineType = 1 /*Item*/
and ri.ReceiptDate between #_LYDateFrom and #_LYDateTo
group by
ri.LocationId,
ri.ReceiptDate
)
select
[LocationId] = cte.LocationId,
[LY_Date] = cte.LY_Date,
...
[Ratio] = cte.LY_NetSalesAmount / sum(cte.LY_NetSalesAmount) over (partition by cte.LocationId)
into #LY_Data
from cte
sum(cte.LY_NetSalesAmount) over (partition by cte.LocationId) gives you the sum for each locationId. The code assume that this sum is always non-zero. Otherwise, a divide-by-0 error will occur.
Seems like all you need to do is calculate ratio in the first query.
You can do this with a correlated subquery.
SELECT
...
convert(money, sum(ri.ExtendedAmount)/(SELECT sum(ri2.ExtendedAmount)
FROM rpt.SalesReceiptItem ri2
WHERE ri2.LocationId=ri.LocationId
)
) AS ratio --extended amount/total extended amount for this location
I have a table with following values:
week_no amt amt_diff
1 500 100
2 600 300
3 900 100
4 1000 null
When I subtract week2.amt-week1.amt the difference is getting saved in the amt_diff column of week_no=1. But I want the result to be stored with the week_no=2 record.
Can anyone help me with the SQL?
I think this should work. You can make it a SELECT first to make sure you get the desired results. The syntax is valid in SQL Server, not sure about other RDBMS.
UPDATE m2
SET amt_diff = (m2.amt-m1.amt)
FROM MyTable m2
INNER JOIN MyTable m1
ON m1.week_no = (M2.week_no - 1)
It will update all records that have week after it to be calculated.
To just select the values:
SELECT amt_diff = (m2.amt-m1.amt)
FROM MyTable m2
INNER JOIN MyTable m1
ON m1.week_no = (M2.week_no - 1)
UPDATE YOURTABLE T
SET T.AMT_DIFF = ( T.AMT - NVL(( SELECT TT.AMT
FROM YOURTABLE TT
WHERE TT.WEEK_NO = (T.WEEK_NO - 1)
)
,0)
)
WHERE T.WEEK_NO = 2;
Might work for you.
update k
set k.amt_diff=(select k2.amt from week k2 where week_no=k.week_no+1)-amt
from week k