I'm trying to write a SQL query that produces a table with summarized values for each year and month.
I have a table that looks something like this:
TABLENAME: TIME
id cID cDate cTime
1 254 2019-10-11 5
2 259 2019-10-13 4
3 268 2020-01-17 6
4 268 2020-01-18 9
5 271 2020-01-21 4
6 267 2020-02-19 8
And another table that looks like this:
TABLENAME: CASE
id name invoice status
254 Acme Yes finish
259 Tex NoFakt finish
268 Rex C Yes *Null*
267 Hydro *Null* open
271 Corp Yes finish
I want to have a query that returns the sum for each month like this:
Year Month RegTime Invoiced ToBeInvoiced
2019 10 5 5 0
2019 11 0 0 0
2019 12 0 0 0
2020 1 19 4 15
2020 2 8 0 8
Explanation of the output:
Year and Month are obvious
RegTime should be the sum of all TIME.cTime WHERE CASE.invoice <> 'NoFakt'
Invoiced should be the sum of all TIME.cTIME WHERE CASE.invoice = 'Yes' AND CASE.status = 'finish'
ToBeInvoiced should be the sum of all TIME.cTIME WHERE CASE.invoice = 'Yes' AND CASE.status <> 'finish'
I have tried this query, but with this i need to loop a predefined year and month value in my programming code instead of simply having a sql statement that are doing all the work. There´s got to be a simpler way than this...
select (select sum(cTIME) from TIME inner join CASE on TIME.cID = CASE.id WHERE CASE.invoice <> 'NoFakt' AND DATEPART(yy, cDate) = '2019' AND DATEPART(mm, cDate) = '10') AS RegTime,
(select sum(cTIME) from TIME inner join CASE on TIME.cID = CASE.id WHERE CASE.invoice = 'Yes' AND CASE.status = 'finish' AND DATEPART(yy, cDate) = '2019' AND DATEPART(mm, cDate) = '10') AS Invoiced,
(select sum(cTIME) from TIME inner join CASE on TIME.cID = CASE.id WHERE CASE.invoice = 'Yes' AND CASE.status <> 'finish' AND DATEPART(yy, cDate) = '2019' AND DATEPART(mm, cDate) = '10') AS ToBeInvoiced
Use conditional aggregation :
SELECT YEAR(T.cDate) AS YR, MONTH(T.cDate) AS Mnth,
SUM(CASE WHEN C.invoice <> 'NoFakt' THEN C.cTIME ELSE 0 END) AS RegTime,
SUM(CASE WHEN C.invoice = 'Yes' AND C.status = 'finish' THEN C.cTIME ELSE 0 END) AS Invoiced,
SUM(CASE WHEN C.invoice = 'Yes' AND C.status <> 'finish' THEN C.cTIME ELSE 0 END) AS ToBeInvoiced
FROM TIME T INNER JOIN
CASE C
ON T.cID = C.id
GROUP BY YEAR(T.cDate), MONTH(T.cDate);
Note: Do not use reserved keyword as Object Name.
Related
The query below returns 2 rows, but actually I need only one;
select Datename(month, m.CreatedDate) as [Ay], sum(case when h.Cinsiyet=1 then 1 else 0 end) as [Group1], sum(case when h.Cinsiyet=2 then 1 else 0 end) as [Group2] from Muayene.Muayene m with(nolock)
join Ortak.Hasta h with(nolock) on m.HastaTc = h.HastaTc
group by h.Cinsiyet, Datename(month, m.CreatedDate)
result:
MonthName Group1 Group2
April 4500 0
April 0 9000
Expected Result:
MonthName Group1 Group2
April 4500 9000
I know I can do it wrapping the query with another select statement and Group by month and Sum these results.. But its not efficient and looks dirty code.
How can I make a trick to get expected result without make another sum statement?
FIx the GROUP BY:
select Datename(month, m.CreatedDate) as [Ay],
sum(case when h.Cinsiyet = 1 then 1 else 0 end) as [Group1],
sum(case when h.Cinsiyet = 2 then 1 else 0 end) as [Group2]
from Muayene.Muayene m join
Ortak.Hasta h
on m.HastaTc = h.HastaTc
group by Datename(month, m.CreatedDate);
This is table structure;
ID Score Valid CreatedDate
1 A 1 2018-02-19 23:33:10.297
2 C 0 2018-02-19 23:32:40.700
3 B 1 2018-02-19 23:32:30.247
4 A 1 2018-02-19 23:31:37.153
5 B 0 2018-02-19 23:25:08.667
...
I need to find total number of each score and valid in each month
I mean final result should be like
Month A B C D E Valid(1) NotValid(0)
January 123 343 1021 98 12 1287 480
February 516 421 321 441 421 987 672
...
This is what I tried;
SELECT DATEPART(year, CreatedDate) as Ay,
(select count(*) from TableResults where Score='A') as 'A',
(select count(*) from TableResults where Score='B') as 'B',
...
FROM TableResults
group by DATEPART(MONTH, CreatedDate)
but couldn't figure how to calculate all occurrence of scores on each month.
Use conditional aggregation.
SELECT DATEPART(year, CreatedDate) as YR
, DATEPART(month, CreatedDate) MO
, sum(Case when score = 'A' then 1 else 0 end) as A
, sum(Case when score = 'B' then 1 else 0 end) as B
, sum(Case when score = 'C' then 1 else 0 end) as C
, sum(Case when score = 'D' then 1 else 0 end) as D
, sum(Case when score = 'E' then 1 else 0 end) as E
, sum(case when valid = 1 then 1 else 0 end) as Valid
, sum(case when valid = 0 then 1 else 0 end) as NotValid
FROM TableResults
GROUP BY DATEPART(MONTH, CreatedDate), DATEPART(year, CreatedDate)
I'm not a big fan of queries in the select; I find they tend to cause performance problems in the long run. Since we're aggregating here I just applied the conditional logic to all the columns.
This question already has answers here:
Efficiently convert rows to columns in sql server
(5 answers)
Closed 8 years ago.
I have a query that produces results like the following:
Company Member Account Date Check-ins
================================================================
Acme, Inc. Amanda Smith 4145886 7/3/2014 1
Acme, Inc. Amanda Smith 4145886 7/9/2014 1
Acme, Inc. Amanda Smith 4145886 7/23/2014 1
Acme, Inc. Gladys Jones 800138618 7/5/2014 1
Acme, Inc. Joe Ortega 800123972 7/15/2014 1
Acme, Inc. Joe Ortega 800123972 7/29/2014 1
Here is the query:
Select
com.CompanyName as [Company],
p.FirstName + ' ' + p.LastName as [Member],
a.AccountID as [Account],
CAST(mc.CheckInDate AS Date) [Date],
count(*) AS [Check-ins]
from
gym.Person p
join
gym.AccountPeople ap on p.PersonID = ap.PersonID
join
gym.Account a on a.AccountID = ap.AccountID
join
gym.MembershipStatus ms on a.MembershipStatusID = ms.MembershipStatusID
join
gym.Company com on a.CompanyID = com.CompanyID
join
gym.MemberCheckin mc on mc.PersonID = p.PersonID
where
mc.CheckInDate > '2014-7-1'
and mc.CheckInDate < DATEADD(dd, 1, CAST('2014-7-31' AS Date))
GROUP BY
com.CompanyName, a.AccountID,
p.FirstName + ' ' + p.LastName, CAST(mc.CheckInDate AS Date)
order by
com.CompanyName, p.FirstName + ' ' + p.LastName
I'm puzzling over how to get this a little differently. Notice how Amanda checked in 3 times in July, on the 3rd, the 9th, and the 23rd. I need the results to show the check-in count across every day of the month. So in place of the "Date" column I need 31 columns (for each possible day of the longest possible month), like so:
1 2 3 4 5 6 7 8 9 10 .....
==============================================
0 0 1 0 0 0 0 0 1 0 ......
Notice the "check-in" count under 3 and 9, for July 3rd and July 9th. How can I build the query to produce results like that?
Ugly answer...but you should be able to create 31 case statements to get this to work. In your select (at the end works) include:
sum(case when day([date]) = 1 then 1 else 0 end) as day1,
sum(case when day([date]) = 2 then 1 else 0 end) as day2,
sum(case when day([date]) = 3 then 1 else 0 end) as day3,
sum(case when day([date]) = 4 then 1 else 0 end) as day4,
etc
sum(case when day([date]) = 31 then 1 else 0 end) as day31
Would be curious if there is a better answer, but it should function for you. They are sum columns, so the existing group bys should function fine.
Background Info
I have a large table 400M+ rows that changes daily (one days data drops out an a new days data drops in) The table is partitioned on a 'day' field so there are 31 paritions.
Each row in the table has data similar to this:
ID, Postcode, DeliveryPoint, Quantity, Day, Month
1 SN1 1BG A1 6 29 1
2 SN1 1BG A1 1 28 1
3 SN1 1BG A2 2 27 1
4 SN1 1BG A1 3 28 1
5 SN2 1AQ B1 1 29 12
6 SN1 1BG A1 2 26 12
I need to pull out 7 days of data in the format:
Postcode, Deliverypoint, 7dayAverage, Day1,day2,Day3,Day4,Day5,Day6,Day7
SN1 1BG A1 2 0 1 2 1 3 4 0
I can easily extract the data for the 7 day period but need to create a columnar version as shown above.
I have something like this:
select postcode,deliverypoint,
sum (case day when 23 then quantity else 0 end) as day1,
sum (case day when 24 then quantity else 0 end) as day2,
sum(case day when 25 then quantity else 0 end) as day3,
sum(case day when 26 then quantity else 0 end) as day4,
sum(case day when 27 then quantity else 0 end) as day5,
sum(case day when 28 then quantity else 0 end) as day6,
sum(case day when 29 then quantity else 0 end) as day7,
sum(quantity)*1.0/#daysinweek as wkavg
into #allweekdp
from maintable dp with (nolock)
where day in (select day from #days)
group by postcode,deliverypoint
where #days has the day numbers in the 7 day period.
But as you can see, I've hard-coded the day numbers into the query, I want to get them out of my temporary table #days but can't see a way of doing it (an array would be perfect here)
Or a I going about this in completely the wrong way ?
Kind Regards
Steve
If I understand correctly, what I would do is:
Convert the day and month columns into datetime values,
Get the first day of the week and day of the weekday (1-7) for each date, and
Pivot the data and group by the first day of the week
see here: sqlfiddle
As utexaspunk suggested, Pivot might be the way to go. I've never been comfortable with pivot and have preferred to pivot it manually so I control how everything looks, so I'm using a similar solution to how you did your script to solve the issue. No idea how the performance between my way and utexaspunk's will compare.
Declare #Min_Day Integer = Select MIN(day) as Min_Day From #days;
With Day_Coding_CTE as (
Select Distinct day
, day - #Min_Day + 1 as Day_Label
From #days
)
, Non_Columnar_CTE as (
Select dp.postcode
, dp.deliverypoint
, d.day
, c.Day_Label
, SUM(quantity) as Quantity
From maintable dp with (nolock)
Left Outer Join #days d
on dp.day = d.day --It also seems like you'll need more criteria here, but you'll have to figure out what those should be
Left Outer Join Day_Coding_CTE c
on d.day = c.day
)
Select postcode
, deliverypoint
, SUM(Case
When Day_Label = 1
Then Quantity
Else 0
End) as Day1
, SUM(Case
When Day_Label = 2
Then Quantity
Else 0
End) as Day2
, SUM(Case
When Day_Label = 3
Then Quantity
Else 0
End) as Day3
, SUM(Case
When Day_Label = 4
Then Quantity
Else 0
End) as Day4
, SUM(Case
When Day_Label = 5
Then Quantity
Else 0
End) as Day5
, SUM(Case
When Day_Label = 6
Then Quantity
Else 0
End) as Day6
, SUM(Case
When Day_Label = 7
Then Quantity
Else 0
End) as Day7
, SUM(Quantity)/#daysinweek as wkavg
From Non_Columnar_CTE
Group by postcode
deliverypoint
select year,
month ,
d.PROD_ID,
T.CUSTOMER_ID,
SUM(CASE WHEN D.OP_TYPE = 1 THEN d.qty END) EARNED,
SUM(CASE WHEN D.OP_TYPE = 2 THEN d.qty END) SPEND
FROM TXN_HEADER T ,
TXN_DETAIL d ,
CUSTOMER A,
PRODUCT e
WHERE T.AMOUNT > 0
AND A.TYPE = 0
AND T.CUSTOMER_ID = A.CUSTOMER_ID
AND T.TXN_PK = D.TXN_PK
and d.PROD_ID = e.PROD_ID
and e.unit = 0
group by year, month ,d.PROD_ID, T.CUSTOMER_ID
ORDER BY 1,2,3,4
Output is as follows (here opening and closing not generated by query, but I required that has to be from the query)
YEAR MONTH PROD CUSTOMER OPENING EARNED SPEND CLOSING
---- ----- ---- -------- ------- ------ ----- -------
2012 8 548 12033 0 8 2 6
2012 9 509 12033 0 24 0 24
2012 9 509 12047 0 14 0 14
2012 9 548 12033 6 1 0 7
2012 9 548 12047 0 1 0 1
I required to generate the output as above. Here PROD_ID,CUSTOMER_ID wise dynamically the prev closing balance to be populated as opening and it shoulde calculate closing balance (opening+earned-spend) monthwise,customer wise ,product wise. is it possible to write in SQL or need to go PL/SQL?
I'd use analytics, with PROD_ID and CUSTOMER_ID in the partition clause to avoid mixing products and customers.
WITH
MONTHLY_BALANCE AS
(
SELECT
YEAR,
MONTH,
D.PROD_ID,
T.CUSTOMER_ID,
SUM(CASE WHEN D.OP_TYPE = 1 THEN D.QTY ELSE NULL END) EARNED,
SUM(CASE WHEN D.OP_TYPE = 2 THEN D.QTY ELSE NULL END) SPEND,
FROM TXN_HEADER T
JOIN CUSTOMER A
ON T.CUSTOMER_ID = A.CUSTOMER_ID
JOIN TXN_DETAIL D
ON T.TXN_PK = D.TXN_PK
JOIN PRODUCT E
ON D.PROD_ID = E.PROD_ID
WHERE T.AMOUNT > 0
AND A.TYPE = 0
AND E.UNIT = 0
GROUP BY YEAR, MONTH, D.PROD_ID, T.CUSTOMER_ID
)
SELECT
YEAR,
MONTH,
PROD_ID,
CUSTOMER_ID,
SUM(NVL(EARNED, 0) - NVL(SPEND, 0)) OVER(PARTITION BY PROD_ID, CUSTOMER_ID ORDER BY YEAR, MONTH ROWS BETWEEN UNBOUNDED PRECEDING AND 1 PRECEDING) OPENING,
EARNED,
SPEND,
SUM(NVL(EARNED, 0) - NVL(SPEND, 0)) OVER(PARTITION BY PROD_ID, CUSTOMER_ID ORDER BY YEAR, MONTH ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT_ROW) CLOSING
FROM MONTHLY_BALANCE
ORDER BY 1, 2, 3, 4
Your CASE needs an ELSE
CASE WHEN D.OP_TYPE = 1 THEN d.qty ELSE 0 END
Without the else the CASE will return NULL when D.OP_TYPE is not equal to 1, and anything+NULL=NULL. When your WHEN is not satisfied it returns NULL and that is why you do not see anything for those columns.
To get OPENING and CLOSING calculated as you may want to use analytic functions like LEAD and LAG.
Select year,month,prod_id,customer_id,
LAG(closing,1,0) OVER (order by year,month,prod_id,customer_id) as opening,
earned,spend
,(LAG(closing,1,0) OVER (order by year,month,prod_id,customer_id)+closing) as closing
from (WITH temp AS (select year,
month ,
d.PROD_ID,
T.CUSTOMER_ID,
0 OPEN,
SUM(CASE WHEN D.OP_TYPE = 1 THEN d.qty END) EARNED,
SUM(CASE WHEN D.OP_TYPE = 2 THEN d.qty END) SPEND,
0 CLOSE
FROM TXN_HEADER T ,
TXN_DETAIL d ,
CUSTOMER A,
PRODUCT e
WHERE T.AMOUNT > 0
AND A.TYPE = 0
AND T.CUSTOMER_ID = A.CUSTOMER_ID
AND T.TXN_PK = D.TXN_PK
and d.PROD_ID = e.PROD_ID
and e.unit = 0
group by year, month ,d.PROD_ID, T.CUSTOMER_ID
ORDER BY 1,2,3,4)
SELECT year,month,prod_id,customer_id,open,earned,spend,(open+earned-spend) as closing
from temp);