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)
Related
I am having trouble accurately doing a year over year comparison by month but at any point during the month. For example for August 2022 vs 2021, I want to compare August 1 to today, rather than full month of August 2021.
My data has a date field.
I want the final result to basically be:
Product_ID, Year, Month, PY_Sales, CY_Sales
I have daily totals. Some products do have not sales on certain days though. Here's an example:
product_id
sale_date
units
1
2021-01-01
5
2
2021-01-02
4
...
...
...
1
2021-06-05
2
2
2021-08-01
1
2
2021-08-31
6
2
2022-01-06
1
2
2022-08-15
9
The final result for August should be:
product_id
Year
Month
PY_Sales
CY_Sales
2
2022
8
1
9
Right now my code will show 7 for August for product_id = 2 because 6 sales happened on August 31st but that day hasn't happened yet in 2022.
This is the code I have, but it doesn't do MTD. Right now, PY_Sales for August 2022 is showing the entire August of 2021, but I want it to show the MTD of August 2021. I used this code because some products do not have sales on certain months.
WITH cte AS
(
SELECT
PRODUCT_ID,
EXTRACT(YEAR FROM SALE_DATE) AS Year,
EXTRACT(MONTH FROM SALE_DATE) AS Month,
CONCAT(EXTRACT(YEAR FROM SALE_DATE), '-',EXTRACT(MONTH FROM SALE_DATE)) AS Year_Month,
SUM(Units) AS Units
FROM data
WHERE Product_ID = 1
AND DATE(SALE_DATE) >= '2019-01-01'
GROUP BY 1, 2, 3
),
diff AS
(
SELECT
COALESCE(c.PRODUCT_ID, p.PRODUCT_ID) AS Product_ID,
COALESCE(c.Year, p.Year + 1) AS Year,
COALESCE(c.Month, p.Month) AS Month,
IFNULL(c.Units, 0) AS Current_Units,
IFNULL(p.Units, 0) AS Previous_Units,
NULLIF(((IFNULL(c.Units, 0) - IFNULL(p.Units,0)) / p.Units),0) * 100 AS Percent_Change
FROM CTE c
FULL OUTER JOIN CTE p ON c.PRODUCT_ID = p.PRODUCT_ID AND c.Year = p.Year + 1 AND c.Month = p.Month
WHERE c.Year <= EXTRACT(YEAR FROM CURRENT_DATE())
ORDER BY 2, c.Year, c.Month
)
SELECT *
FROM diff
--This is to avoid dividing by 0
WHERE diff.Previous_Units > 0
--AND Percent_Change <= -.5
I'm being a little repetitive but I hope this is clear! Thank you so much!
In the cte table you summarize the sold units by month and year.
Your question can be solved by adding here a column units_last_year. This contains the units, which are sold up to the day one year ago. Today is the 27th of August 2022, therefore the units on the 31th of August 2021 will be set to zero.
SUM(Units) AS Units,
SUM(IF(SALE_DATE< date_sub(current_Date(),interval 1 year), Units, 0 )) as units_last_year
Please use the safe_divide command, if there is any chance of diving by zero
Here is the full query with example data.
You given an example of fixed dates, which are compared to the current date. Therefore, the query would not show the desired effect after 30th of August 2022.
The product_id three is made up values related to the current date, thus the following query yields results after August 2022.
with data as (
select *,date(sale_date_) as sale_date
from (
Select 1 product_id, "2021-01-01" sale_date_, 5 units
union all select 2,"2021-01-02", 4
union all select 1,"2021-06-05", 2
union all select 2,"2021-08-01", 1
union all select 2,"2021-08-31", 6
union all select 2,"2022-01-06", 1
union all select 2,"2022-08-15", 9
union all select 3, current_date(), 10
union all select 3, date_sub(current_date(),interval 1 year), 9
union all select 3, date_sub( date_trunc(current_date(),month),interval 1 year), 1
)
),
cte AS
(
SELECT
PRODUCT_ID,
EXTRACT(YEAR FROM SALE_DATE) AS Year,
EXTRACT(MONTH FROM SALE_DATE) AS Month,
CONCAT(EXTRACT(YEAR FROM SALE_DATE), '-',EXTRACT(MONTH FROM SALE_DATE)) AS Year_Month,
SUM(Units) AS Units,
sum(if(SALE_DATE< date_sub(current_Date(),interval 1 year), units, 0 )) as units_last_year
FROM data
WHERE # Product_ID = 1 AND
DATE(SALE_DATE) >= '2019-01-01'
GROUP BY 1, 2, 3, 4
),
diff AS
(
SELECT
COALESCE(c.PRODUCT_ID, p.PRODUCT_ID) AS Product_ID,
COALESCE(c.Year, p.Year + 1) AS Year,
COALESCE(c.Month, p.Month) AS Month,
IFNULL(c.Units, 0) AS Current_Units,
IFNULL(p.Units, 0) AS Previous_Units,
IFNULL(p.Units_last_Year, 0) AS Previous_Units_ok,
NULLIF(((IFNULL(c.Units, 0) - IFNULL(p.Units,0)) / p.Units),0) * 100 AS Percent_Change,
NULLIF(safe_divide((IFNULL(c.Units, 0) - IFNULL(p.Units_last_Year,0)) , p.Units_last_Year),0) * 100 AS Percent_Change_ok,
FROM CTE c
FULL OUTER JOIN CTE p ON c.PRODUCT_ID = p.PRODUCT_ID AND c.Year = p.Year + 1 AND c.Month = p.Month
WHERE c.Year <= EXTRACT(YEAR FROM CURRENT_DATE())
ORDER BY 2, c.Year, c.Month
)
SELECT *
FROM diff
This is my query
with months (Date,Familia) as (
select cast(eomonth(datefromparts(year(date_var),
month(date_var),01)) as datetime) as Fecha, p.family as 'Familia'
from sales v
left join products p on p.id_product=v.id_product
where date_var >= '2016-08-01'
group by date_var, p.family
)
select m.Date, m.Family, (
select count(distinct v.user_id)
from sales v
where datediff(month, m.Date, v.date_var) between -2 and 0 and
v.date_var >= '2016-08-01'
) as 'Active Users'
from months m
group by m.family, m.Date
order by m.Date
I want to obtain the number of active users, taking into account that a user counts as active if they have made a purchase in the last three months.
For instance
family
year
month
#
Nubrenza
2017
1
2500
Keppra
2017
1
350
Nubrenza
2017
2
2400
Keppra
2017
2
357
Active users of January 2017 would be count( DISTINCT users) who have made a transaction in January 2017, Dec 2016 and / or Nov 2016 and so on...
Update my query is now showing the distinct count of users grouping them by month but it's returning the same value for all my families, how can I fix that?
You can generate the months and use a subquery:
with months as (
select convert(date, '2017-01-01') as month
union all
select dateadd(month, 1, month)
from months
where month < '2018-01-01'
)
select m.month,
(select count(*)
from mytable t
where datediff(month, date_var, m.month) between 0 and 2
)
from months m;
More brain freeze moments from me. I'm sure this will be an easy one.
I have two tables. One is a list of part usage by week. This is called TransactionsPerWeek and looks like this:
ItemPK xWeek xYear TotalQty
1234 2 2019 65
1234 4 2019 15
1234 5 2019 50
I also have a DateList table that has week numbers and years in it
xWeek xYear
1 2019
2 2019
3 2019
etc.
When I right join the two together on week and year I get
ItemPK xWeek xYear TotalQty
NULL 1 2019 0
1234 2 2019 65
NULL 3 2019 0
1234 4 2019 15
1234 5 2019 50
What I need is to have the ItemPK on every line, even if the TotalQty is 0. So in effect, I need:
ItemPK xWeek xYear TotalQty
1234 1 2019 0
1234 2 2019 65
1234 3 2019 0
1234 4 2019 15
1234 5 2019 50
This is my code...
SELECT itemfk,
dates.year,
dates.week,
isnull(transactionsperweek.TotalQty,0) as TotalQty
from (
SELECT iit.ItemFK,
year(iit.transactiondate) xYear,
datepart(wk,iit.transactiondate) xWeek,
abs(sum(iit.quantity)) TotalQty
from iteminventorytransaction iit
INNER JOIN ItemInventoryTransactionType iitt on ItemInventoryTransactionTypePK = iit.ItemInventoryTransactionTypeFK
where iit.itemfk = 5311
and iit.ItemInventoryTransactionTypeFK in (10,8)
and iit.TransactionDate BETWEEN
-- 1 year up to the sunday of last week
DateAdd(wk,-51,DATEADD(day,-1 - (DATEPART(weekday, GETDATE()) + ##DATEFIRST - 2) % 7,GETDATE()))
AND DATEADD(day,-1 - (DATEPART(weekday, GETDATE()) + ##DATEFIRST - 2) % 7,GETDATE())
AND Quantity < 0
group by iit.itemfk,
year(iit.transactiondate),
datepart(wk,iit.transactiondate)
) transactionsPerWeek
RIGHT JOIN (
select year,
week
from DatesList
where date > DateAdd(wk,-51,DATEADD(day,-1 - (DATEPART(weekday, GETDATE()) + ##DATEFIRST - 2) % 7,GETDATE()))
AND date < DATEADD(day,-1 - (DATEPART(weekday, GETDATE()) + ##DATEFIRST - 2) % 7,GETDATE())
group by year,
week
) Dates ON dates.week = transactionsPerWeek.xWeek
AND dates.year = transactionsPerWeek.xYear
where week not in (52,53)
Hope this is clear enough. Thanks in advance.
You can use recursive cte :
with cte as (
select 1 as id, max(xWeek) as maxwk
from TransactionsPerWeek
union all
select id + 1, maxwk
from cte c
where c.id < maxwk
)
select coalesce(wk.ItemPK, wk1.ItemPK) as ItemPK, c.id as xWeek, wk.xYear, wk.TotalQty
from cte c left join
TransactionsPerWeek wk
on wk.xWeek = c.id outer apply
( select top (1) wk1.ItemPK
from TransactionsPerWeek wk1
where wk1.xWeek >= c.id and wk1.xWeek is not null
order by wk1.xWeek
) wk1;
Ok, so I did what #larnu suggested and cross joined the item with the dates, then left joined it to the transactionsperweek table and it worked. Thank you.
This is my code now;
SELECT itempk, week, year
, ISNULL(transactionsPerWeek.TotalQty,0) as TotalQty
from item
CROSS JOIN
(
select year, week from DatesList where date >
DateAdd(wk,-51,DATEADD(day,-1 - (DATEPART(weekday, GETDATE()) + ##DATEFIRST - 2) % 7,GETDATE()))
AND date <
DATEADD(day,-1 - (DATEPART(weekday, GETDATE()) + ##DATEFIRST - 2) % 7,GETDATE())
group by year, week
) dates
LEFT JOIN
(
SELECT iit.ItemFK, year(iit.transactiondate) xYear, datepart(wk,iit.transactiondate) xWeek, abs(sum(iit.quantity)) TotalQty from iteminventorytransaction iit
INNER JOIN ItemInventoryTransactionType iitt on ItemInventoryTransactionTypePK = iit.ItemInventoryTransactionTypeFK
where iit.itemfk = 5311 and iit.ItemInventoryTransactionTypeFK in (10,8)
and iit.TransactionDate BETWEEN
-- 1 year up to the sunday of last week
DateAdd(wk,-51,DATEADD(day,-1 - (DATEPART(weekday, GETDATE()) + ##DATEFIRST - 2) % 7,GETDATE()))
AND
DATEADD(day,-1 - (DATEPART(weekday, GETDATE()) + ##DATEFIRST - 2) % 7,GETDATE())
AND Quantity < 0
group by iit.itemfk, year(iit.transactiondate), datepart(wk,iit.transactiondate)
) transactionsPerWeek
ON itempk = transactionsperweek.ItemFK and transactionsPerWeek.xYear = dates.year and transactionsPerWeek.xWeek = dates.week
where itempk = 5311
Use a cross join to generate the rows and a left join to bring in the results you already have.
Your question explicitly states that you have two tables. Hence, I don't know what your SQL code is doing, because it is not referencing those tables. So, based on the description:
select i.ItemPK, d.xWeek, d.xYear,
coalesce(TotalQty, 0) as TotalQty
from (select distinct itemPK from TransactionsPerWeek
) i cross join
DateList d left join
TransactionsPerWeek t
on t.itemPK = i.itemPK and
t.xWeek = d.xWeek and
t.xYear = d.xYear;
Of course if the "tables" are really subqueries, then I would recommend using CTEs and still this basic query structure.
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),'-','');
Let's assume I have following set of data in Oracle SQL database:
Product Year Month Revenue
A 2016 1 7
A 2016 5 15
After creating running totals with following code
select Product, Year, Month, Revenue,
sum(Revenue) over (partition by Product, Year order by Month) Revenue_Running
from exemplary_table
I receive following result:
Product Year Month Revenue Revenue_Running
A 2016 1 7 7
A 2016 5 15 22
Is there any way that I can get this:
Product Year Month Revenue Revenue_Running
A 2016 1 7 7
A 2016 2 (null) 7
A 2016 2 (null) 7
A 2016 4 (null) 7
A 2016 5 15 22
You need a calendar table and Left join with your exemplary_table
SELECT p.product,
c.year,
c.month,
COALESCE(revenue, 0),
Sum(revenue)OVER (partition BY p.product, c.year ORDER BY c.month) Revenue_Running
FROM calendar_table c
CROSS JOIN (SELECT DISTINCT product
FROM exemplary_table) p
LEFT JOIN exemplary_table e
ON c.year = e.year
AND e.month = c.month
WHERE c.dates >= --your start date
AND c.dates <= --your end date