I have the following table:
ID GROUPID oDate oValue
1 A 2014-06-01 100
2 A 2014-06-02 200
3 A 2014-06-03 300
4 A 2014-06-04 400
5 A 2014-06-05 500
FF. until the end of the month
30 A 2014-06-30 600
I have 3 kinds of GROUPID, and each group will create one record per day.
I want to calculate the total of oValue from the 2nd day of each month until the end of the month. So the total of June would be from 2/Jun/2014 until 30/Jun/2014. If July, then the total would be from 2/Jul/2014 until 31/Jul/2014.
The output will be like this (sample):
GROUPID MONTH YEAR tot_oValue
A 6 2014 2000
A 7 2014 3000
B 6 2014 1500
B 7 2014 5000
Does anyone know how to solve this with sql syntax?
Thank you.
You can use a correlated subquery to get this:
SELECT T.ID,
T.GroupID,
t.oDate,
T.oValue,
ct.TotalToEndOfMonth
FROM T
OUTER APPLY
( SELECT TotalToEndOfMonth = SUM(oValue)
FROM T AS T2
WHERE T2.GroupID = T.GroupID
AND T2.oDate >= T.oDate
AND T2.oDate < DATEADD(MONTH, DATEDIFF(MONTH, 0, T.oDate) + 1, 0)
) AS ct;
For your example data this gives:
ID GROUPID ODATE OVALUE TOTALTOENDOFMONTH
1 A 2014-06-01 100 2100
2 A 2014-06-02 200 2000
3 A 2014-06-03 300 1800
4 A 2014-06-04 400 1500
5 A 2014-06-05 500 1100
30 A 2014-06-30 600 600
Example on SQL Fiddle
For future reference if you ever upgrade, in SQL Server 2012 (and later) this becomes even easier with windowed aggregate functions that allow ordering:
SELECT T.*,
TotalToEndOfMonth = SUM(oValue)
OVER (PARTITION BY GroupID,
DATEPART(YEAR, oDate),
DATEPART(MONTH, oDate)
ORDER BY oDate DESC)
FROM T
ORDER BY oDate;
Example on SQL Fiddle
EDIT
If you only want this for the 2nd of each month, but still need all the fields then you can just filter the results of the first query I posted:
SELECT T.ID,
T.GroupID,
t.oDate,
T.oValue,
ct.TotalToEndOfMonth
FROM T
OUTER APPLY
( SELECT TotalToEndOfMonth = SUM(oValue)
FROM T AS T2
WHERE T2.GroupID = T.GroupID
AND T2.oDate >= T.oDate
AND T2.oDate < DATEADD(MONTH, DATEDIFF(MONTH, 0, T.oDate) + 1, 0)
) AS ct
WHERE DATEPART(DAY, T.oDate) = 2;
Example on SQL Fiddle
If you are only concerned with the total then you can use:
SELECT T.GroupID,
[Month] = DATEPART(MONTH, oDate),
[Year] = DATEPART(YEAR, oDate),
tot_oValue = SUM(T.oValue)
FROM T
WHERE DATEPART(DAY, T.oDate) >= 2
GROUP BY T.GroupID, DATEPART(MONTH, oDate), DATEPART(YEAR, oDate);
Example on SQL Fiddle
Not sure whether you have data for different years
Select YEAR(oDate),MONTH(oDate),SUM(Value)
From #Temp
Where DAY(oDate)>1
Group By YEAR(oDate),MONTH(oDate)
If you want grouped per GROUPID, year and month this should do it:
SELECT
GROUPID,
[MONTH] = MONTH(oDate),
[YEAR] = YEAR(oDate),
tot_oValue = SUM(ovalue)
FROM your_table
WHERE DAY(odate) > 1
GROUP BY GROUPID, YEAR(oDate), MONTH(oDate)
ORDER BY GROUPID, YEAR(oDate), MONTH(oDate)
This query produces required output:
SELECT GROUPID, MONTH(oDate) AS "Month", YEAR(oDate) AS "Year", SUM(oValue) AS tot_oValue
FROM table_name
WHERE DAY(oDate) > 1
GROUP BY GROUPID, YEAR(oDate), MONTH(oDate)
ORDER BY GROUPID, YEAR(oDate), MONTH(oDate)
Related
I am counting the birthdays , sales , order in all 12 months from customers table in SQL server like these
In Customers table birth_date ,sale_date, order_date are columns of the table
select 1 as ranking,'Birthdays' as Type,[MONTH],TOTAL
from ( select DATENAME(month, birth_date) AS [MONTH],count(*) TOTAL
from customers
group by DATENAME(month, birth_date)
)x
union
select 2 as ranking,'sales' as Type,[MONTH],TOTAL
from ( select DATENAME(month, sale_date) AS [MONTH],count(*) TOTAL
from customers
group by DATENAME(month, sale_date)
)x
union
select 3 as ranking,'Orders' as Type,[MONTH],TOTAL
from ( select DATENAME(month, order_date) AS [MONTH],count(*) TOTAL
from customers
group by DATENAME(month, order_date)
)x
And the output is like these(just dummy data)
ranking
Type
MONTH
TOTAL
1
Birthdays
January
12
1
Birthdays
April
6
1
Birthdays
May
10
2
Sales
Febrary
8
2
Sales
April
14
2
Sales
May
10
3
Orders
June
4
3
Orders
July
3
3
Orders
October
6
3
Orders
December
17
I want to find count of these all these three types without using UNION and UNION ALL, means I want these data by single query statement (or more optimize version of these query)
Another approach is to create a CTE with all available ranking values and use CROSS APPLY for it, as shown below.
WITH ranks(ranking) AS (
SELECT * FROM (VALUES (1), (2), (3)) v(r)
)
SELECT
r.ranking,
CASE WHEN r.ranking = 1 THEN 'Birthdays'
WHEN r.ranking = 2 THEN 'Sales'
WHEN r.ranking = 3 THEN 'Orders'
END AS Type,
DATENAME(month, CASE WHEN r.ranking = 1 THEN c.birth_date
WHEN r.ranking = 2 THEN c.sale_date
WHEN r.ranking = 3 THEN c.order_date
END) AS MONTH,
COUNT(*) AS TOTAL
FROM customers c
CROSS APPLY ranks r
GROUP BY r.ranking,
DATENAME(month, CASE WHEN r.ranking = 1 THEN c.birth_date
WHEN r.ranking = 2 THEN c.sale_date
WHEN r.ranking = 3 THEN c.order_date
END)
ORDER BY r.ranking, MONTH
I have following query
My #dates table has following records:
month year saledate
9 2020 2020-09-01
10 2020 2020-10-01
11 2020 2020-11-01
with monthlysalesdata as(
select month(salesdate) as salemonth, year(salesdate) as saleyear,salesrepid, salespercentage
from salesrecords r
join #dates d on d.saledate = r.salesdate
group by salesrepid, salesdate),
averagefor3months as(
select 0 as salemonth, 0 as saleyear, salesrepid, salespercentage
from monthlysalesdata
group by salesrepid)
finallist as(
select * from monthlysalesdata
union
select * from averagefor3months
This query returns following records which gives duplicate for a averagefor3months result set when there is null record in the first monthlyresultdata. how to achieve average for 3 months as one record instead of having duplicates?
salesrepid salemonth saleyear percentage
232 0 0 null -------------this is the duplicate record
232 0 0 90
232 9 2020 80
232 10 2020 null
232 11 2020 100
My first cte has this result:
salerepid month year percentage
---------------------------------------------
232 9 2020 80
232 10 2020 null
232 11 2020 100
My second cte has this result:
salerepid month year percentage
---------------------------------------------
232 0 0 null
232 0 0 90
How to avoid the duplicate record in my second cte,
I suspect that you want a summary row per sales rep based on some aggregation. Your question is not clear on what is needed for the aggregation, but something like this:
with ym as (
select r.salesrepid, d.year, d.month, sum(<something>) as whatever
from salesrecords r join
#dates d
on d.saledate = r.salesdate
group by r.salesrepid, d.year, d.month
)
select ym.*
from ym
union all
select salesrepid, null, null, avg(whatever)
from hm
group by salesrepid;
I updated to selected the group by from the table directly instead of the previous cte and got my results. Thank you all for helping
with ym as (
select r.salesrepid, d.year, d.month, sum(<something>) as whatever
from salesrecords r join
#dates d
on d.saledate = r.salesdate
group by r.salesrepid, d.year, d.month
),
threemonthsaverage as(
select r.salesrepid, r.year, r.month, sum(something) as whatever
from salesrecords as r
group by salesrepid)
select ym *
union
select threemonthsaverage*
I'm trying to list the total number of orders for the last 12 rolling months (not including the current month).
This is my query:
Select
Year(CreatedOn)*100+Month(CreatedOn) YearMonth,
Count(*) OrderCount
From Orders
Where DateDiff(MM,CreatedOn,GetUTCDate()) Between 1 And 12
Group By Year(CreatedOn), Month(CreatedOn)
Order By YearMonth
As expected, I am getting the results correctly. However, when there are no orders in a specific month, the month is excluded from the result completely. I would like to show that month with 0. See sample result:
201809 70
201810 8
201811 53
201812 67
201901 15
201902 13
201903 10
201905 12
201908 9
See the missing months 201904, 201906 and 201907. There should be a total of 12 rows.
The query should be executable within a sub-query using For XML Path so that I can get a comma separated list of orders in the last 12 months.
How can I accomplish this?
You need to generate the rows that you want somehow. One method uses a recursive CTE:
with dates as (
select Year(getdate())*100+Month(getdate()) as yearmonth,
1 as n, datefromparts(year(getdate()), month(getdate()), 1) as yyyymm
union all
select year(dateadd(month, -1, yyyymm)) * 100 + month(dateadd(month, -1, yyyymm),
n + 1,
dateadd(month, -1, yyyymm)
from cte
where n < 12
),
q as (
<your query here>
)
select d.yearmonth, coalesce(q.orders, 0) as orders
from dates d left join
q
on d.yearmonth = q.yearmonth;
Check this-
WITH R(N) AS
(
SELECT 1
UNION ALL
SELECT N+1
FROM R
WHERE N < 12
)
SELECT REPLACE(LEFT(CAST (DATEADD(MONTH,DATEDIFF(MONTH,0,(DATEADD(MONTH,-N,GetUTCDate()))),0) AS DATE),7),'-','') AS [YearMonth],ISNULL(o.OrderCount,0) as OrderCount
FROM R A
LEFT JOIN
(
Select
Year(CreatedOn)*100+Month(CreatedOn) YearMonth,
Count(*) OrderCount
From Orders
Where DateDiff(MM,CreatedOn,GetUTCDate()) Between 1 And 12
Group By Year(CreatedOn), Month(CreatedOn)
) O ON O.YearMonth=REPLACE(LEFT(CAST (DATEADD(MONTH,DATEDIFF(MONTH,0,(DATEADD(MONTH,-N,GetUTCDate()))),0) AS DATE),7),'-','')
Order By REPLACE(LEFT(CAST (DATEADD(MONTH,DATEDIFF(MONTH,0,(DATEADD(MONTH,-N,GetUTCDate()))),0) AS DATE),7),'-','');
SQL SERVER
[CreatedOn] - DATETIME
I get this table:
Year Month Count
2009 7 1
2009 9 1
2010 1 2
2010 3 13
From query:
SELECT
YEAR ([CreatedOn]) AS 'Year',
MONTH ([CreatedOn]) AS 'Month',
COUNT ([CreatedOn]) AS 'Count'
FROM xxx
GROUP BY YEAR ([CreatedOn]), MONTH ([CreatedOn])
How can I get table like this (with missed months and Count 0):
Year Month Count
2009 7 1
2009 8 0
2009 9 1
2009 10 0
2009 11 0
2009 12 0
2010 1 2
2010 2 0
2010 3 13
Syntax says you are using MSSQL. Use Recursive CTE to generate the calender table then do a Left outer join with XXX table
DECLARE #maxdate DATE = (SELECT Max([CreatedOn])
FROM xxx);
WITH calender
AS (SELECT Min([CreatedOn]) dates,
FROM xxx
UNION ALL
SELECT Dateadd(mm, 1, dates)
FROM cte
WHERE dates < #maxdate)
SELECT Year(dates) [YEAR],
Month(dates) [month],
Count ([CreatedOn]) AS 'Count'
FROM calender a
LEFT OUTER JOIN xxx b
ON Year(dates) = Year ([CreatedOn])
AND Month(dates) = Month ([CreatedOn])
GROUP BY Year(dates),
Month(dates)
Note : Instead of Recursive CTE create a physical calender table
This will use a build in table to create the calendar:
;WITH limits as
(
SELECT min([CreatedOn]) mi, max([CreatedOn]) ma
FROM xxx
), months as(
SELECT
dateadd(mm, number, mi) m
FROM
master..spt_values v
JOIN
limits l
ON
number between 0 and datediff(mm, l.mi, l.ma)
WHERE
v.type = 'P'
)
SELECT
year(months.m) year,
month(months.m) month,
count(qry.[CreatedOn]) cnt
FROM
xxx qry
RIGHT JOIN
months
ON
months.m = dateadd(mm, datediff(mm, 0, qry.[CreatedOn]), 0)
GROUP BY
year(months.m),
month(months.m)
I am trying to select sum of items based on their monthly entry date:
The Inventory table is as below:
EntryDate Items
1/1/2013 2
1/20/2013 5
1/23/2013 3
1/30/2013 2
2/4/2013 4
2/17/2013 34
The desired output with Total row added:
EntryDate Items
1/1/2013 2
1/20/2013 5
1/23/2013 3
1/30/2013 2
**Total 12**
2/4/2013 4
2/17/2013 34
**Total 38**
Below is my attempt. I am trying to do this using rollup but its counting all items at once and not by monthly basis, how to achieve this:
Select Convert(date, EntryDate) AS [DATE],SUM(Items) AS Total,
Case WHEN GROUPING(Items) = 1 THEN 'Rollup'
Else Status end AS Total From [Inventory] Group by Convert(date, EntryDate) WITH
Rollup
If you actually want results like your example, you can use the following:
SELECT EntryDate, Items
FROM (SELECT YEAR(EntryDate)'Year_',MONTH(EntryDate)'Month_',CAST(EntryDate AS VARCHAR(12))'EntryDate',Items,1 'sort'
FROM Inventory
UNION ALL
SELECT YEAR(EntryDate)'Year_',MONTH(EntryDate)'Month_','Total',SUM(Items)'Items',2 'sort'
FROM Inventory
GROUP BY YEAR(EntryDate),MONTH(EntryDate)
)sub
ORDER BY Year_,Month_,sort
Demo: SQL Fiddle
Try this, it will give you the month total in a new column, it will also work when your dates stretch over more than 1 year
SELECT EntryDate, Items,
SUM(Items) OVER (partition by dateadd(month, datediff(month, 0, entrydate), 0)) Total
FROM [Inventory]
Result:
EntryDate Items Total
2013-01-01 2 12
2013-01-20 5 12
2013-01-23 3 12
2013-01-30 2 12
2013-02-04 4 38
2013-02-17 34 38
DATEPART will do try this,
SELECT DATEPART(month, EntryDate) AS 'Month Number',sum(items1) FROM ITEMS
GROUP BY DATEPART(month, EntryDate)
# sqlfiddle
Try:
select entryDate, Items, sum(Items)
from (select entryDate,Items, to_date(entry_date, 'mm/yyyy') month_date from Inventory)
group by month_date
Here's a perfect solution for you
select isnull(cast(DATEFROMPARTS(year,month,day) as varchar),'Total'),
items
from ( SELECT datepart(yyyy,EntryDate) year,
DATEPART(mm, EntryDate) month,
DATEPART(dd, EntryDate) day,
sum(items) items
From Inventory
GROUP BY
ROLLUP (datepart(yyyy,EntryDate),
DATEPART(mm, EntryDate),
DATEPART(dd, EntryDate)
)
) a
where a.year is not null
and a.month is not null;
Demo HERE