I am trying to count the number of users who have had at least two sessions within 7 days of OR ten in 30 days of all dates.
My data is as follow:
Date UserID SessionID
1/1/2013 Bob1234 1
2/1/2013 Bob1234 2
2/2/2013 Bob1234 3
2/3/2013 Cal5678 4
Which would result in the following table (only select dates shown)
Date CountActiveUsers
1/1/2013 1
1/15/2013 0
2/2/2013 1
2/3/2013 2
The real data set has values for all dates in a continuous data range and the results table should have an entry for every date.
SessionIDs are unique and a UserID always refers to the same person.
So far I have two queries that do something close-ish. The first returns the count of sessions in the past week by user:
SELECT Count(
d.[SessionID]
) As SessionPastWeek
,m.[UserID]
,m.[Date]
FROM [Cosmos].[dbo].[Sessions_tbl] as m
Inner Join [Cosmos].[dbo].[Sessions_tbl] as d
on m.[UserID2] = d.[UserID] AND
--Between does not work here for some reason
d.[Date] <= m.[Date] AND
d.[Date] > DATEADD(d,-7,m.[date])
Group By m.[UserID]
,m.[Date]
The other is from the following link which count the number of active users in a given date
Active Users SQL query
I am in SQL Server 2012
I am having trouble combining the two.
Edit for clarification: the query I need likely won't have any getdate() or similar as I need to know how many users fit the 'active' criteria on Jan 1, today, and all the dates inbetween.
Thanks for any help!
I think you just need to add a HAVING clause:
HAVING COUNT(d.[SessionID]) >= 2
On your 10 in 30 query, just change your DATEADD() to have 30 days, and change the HAVING clause to be >= 10.
SELECT COUNT(d.[SessionID]) AS SessionPastPeriod
, m.[UserID]
, m.[Date]
FROM Sessions_tbl AS m
INNER JOIN Sessions_tbl as d
ON m.UserID = d.UserID
AND d.[Date] <= m.[Date]
AND d.[Date] > DATEADD(d,-7,m.[Date])
GROUP BY m.UserID
, m.[Date]
HAVING COUNT(d.[SessionID]) >= 2
I hope this helps.
You are too close.
SELECT Count(d.[SessionID]) As SessionPastWeek
,m.[UserID]
,m.[Date]
FROM [Cosmos].[dbo].[Sessions_tbl] as m
Inner Join [Cosmos].[dbo].[Sessions_tbl] as d on m.[UserID2] = d.[UserID]
--Between does not work here for some reason
where --ADD where clause
d.[Date] <= getdate() AND
d.[Date] > DATEADD(d,-7,getdate())
Group By m.[UserID],m.[Date]
having Count(d.[SessionID])>1 --The magical clause for you.
select count(*)
from (
select UserID
, sum(case when Date between dateadd(day, -7, getdate()) and getdate()
then 1 end) as LastWeek
, sum(case when Date between dateadd(day, -30, getdate()) and getdate()
then 1 end) as Last30Days
from Sessions_tbl
group by
UserID
) SubQueryAlias
where LastWeek >= 2
or Last30Days >= 10
The following query works:
Select
Count(UserID) As CountUsers
,[Date]
From(
SELECT COUNT(d.[SessionID]) AS SessionPastPeriod
, m.[Date]
, m.UserID
FROM [Sessions_tbl] AS m
INNER JOIN [Sessions_tbl] as d
ON m.UserID = d.UserID
AND d.[Date] <= m.[Date]
AND d.[Date] > DATEADD(d,-7,m.[Date])
GROUP BY
m.UserID
,m.[Date]
HAVING COUNT(d.[SessionID]) >= 2) SQ
Group By [Date]
Related
The query is
select distinct b.UserID , cast(b.entrytime as date) ,count(*) as UserCount
from [dbo].[person] as a
join [dbo].[personcookie] as b
on a.UserID = b.UserID
where cast (b.entrytime as date) >= '08/21/2020'
and cast (b.leavetime as date) <= '08/27/2020' and a.distinction = 99
group by cast(b.entrytime as date), b.UserID
If same UserID has count more than 1 for same date, It should consider as 1. Now as it is shown in the image that USERID 10 has count 1 for 2020-08-26 and USERID 10 has count 2 for '2020-08-27'. It should show that user ID 10 has total count 2 for `2020-08-26 and 2020-08-27' (because for 2020-08-27 the count should be 1) as per the requirement.
I have added the image of tables and what output i want
It seems you want one result row per user, so group by user, not by user and date. You want to count dates per user, but each day only once. This is a distinct count.
select
p.userid,
count(distinct cast(pc.entrytime as date)) as date_count
from dbo.person as p
join dbo.personcookie as pc on pc.userid = p.userid
where p.distinction = 99
and pc.entrytime >= '2020-08-08'
and pc.leavetime < '2020-08-28'
group by p.userid
order by p.userid;
You seem to want dense_rank():
select p.UserID, cast(pc.entrytime as date),
dense_rank() over (partition by p.userID order by min(pc.entrytime)) as usercount
from [dbo].[person] p join
[dbo].[personcookie] pc
on pc.UserID = p.UserID
where cast(pc.entrytime as date) >= '2020-08-21' and
cast(pc.leavetime as date) <= '2020-08-27'
group by cast(pc.entrytime as date), p.UserID;
Notes:
The only "real" change is using dense_rank(), which enumerates the days for a given user.
Use meaningful table aliases, rather than arbitrary letters.
Use standard date/time constants. In SQL Server, that is either YYYYMMDD or YYYY-MM-DD.
I have two tables – activity and purchase
Activity table:
user_id date videos_watched
1 2020-01-02 3
1 2020-01-04 5
1 2020-01-07 5
Purchase table:
user_id purchase_date
1 2020-01-01
2 2020-02-02
What I would like to do is to get a 30 day rolling average since purchase on how many videos has been watched.
The base query is like this:
SELECT
DATEDIFF(DAY, p.purchase_date, a.date) AS day_since_purchase,
AVG(A.VIDEOS_VIEWED)
FROM PURCHASE P
LEFT OUTER JOIN ACTIVITY A ON P.USER_ID = A.USER_ID AND
A.DATE >= P.PURCHASE_DATE AND A.DATE <= DATEADD(DAY, 30, P.PURCHASE_DATE)
GROUP BY 1;
However, the Activity table only has records for each day a video has been logged. I would like to fill in the blanks for days a video has not been viewed.
I have started to look into using a CTE like this:
WITH cte AS (
SELECT date('2020-01-01') as fdate
UNION ALL
SELECT CAST(DATEADD(day,1,fdate) as date)
FROM cte
WHERE fdate < date('2020-04-01')
) select * from cte
cross join purchases p
left outer join activity a
on p.user id = a.user_id
and a.fdate = p.purchase_date
and a.date >= p.purchase_date and a.date <= dateadd(day, 30, p.purchase_date)
The end goal is to have something like this:
days_since_purchase videos_watched
1 3
2 0 --CTE coalesce inserted value
3 0
4 5
Been trying for the last couple of hours to get it right, but still can't really get the hang of it.
If you want to fill in the gaps in the result set, then I think you should be generating integers rather than dates:
WITH cte AS (
SELECT 1 as day_since_purchase
UNION ALL
SELECT 1 + day_since_purchase
FROM cte
WHERE day_since_purchase < 4
)
SELECT cte.day_since_purchase, COALESCE(avg_videos_viewed, 0)
FROM cte LEFT JOIN
(SELECT DATEDIFF(DAY, p.purchase_date, a.date) AS day_since_purchase,
AVG(A.VIDEOS_VIEWED) as avg_videos_viewed
FROM purchases p JOIN
activity a
ON p.user id = a.user_id AND
a.fdate = p.purchase_date AND
a.date >= p.purchase_date AND
a.date <= dateadd(day, 30, p.purchase_date)
GROUP BY 1
) pa
ON pa.day_since_purchase = cte.day_since_purchase;
You can use a recursive query to generate the 30 days following each purchase, then bring the activity table:
with cte as (
select
purchase_date,
client_id,
0 days_since_purchase,
purchase_date dt
from purchases
union all
select
purchase_date,
client_id,
days_since_purchase + 1
dateadd(day, days_since_purchase + 1, purchase_date)
from cte
where days_since_purchase < 30
)
select
c.days_since_purchase,
avg(colaesce(a. videos_watch, 0)) avg_ videos_watch
from cte c
left join activity a
on a.client_id = c.client_id
and a.fdate = c.purchase_date
and a.date = c.dt
group by c.days_since_purchase
Your question is unclear on whether you have a column in the activity table that stores the purchase date each row relates to. Your query has column fdate but not your sample data. I used that column in the query (without such column, you might end up counting the same activity in different purchases).
I'm trying to put some data together for a High Charts Bar chart using ASP.NET. Basically, i have three users who i need to track when they have logged into the system. the variants to be used are:
1) Today
2) This Week
3) Last Week
4) Last Month
So, i've created individual tsql scripts for today and and last week, but i'm now a little stuck on how to combine the two statemets, which will eventually be four.
SELECT Count(*) as CountToday from hitsTable WHERE Convert(date,hitDate) =
Convert(date,GETDATE()) Group by UserId
SELECT count(*) as CountLatWeek from hitTable
where hitDate between (DATEADD(week, DATEDIFF (week,0,GETDATE()),-1))
AND getDate() Group by UserId
Searhing on google, leads me to nested select statements, which all seem to form dependacies with the two statements. However, what i need to do is produce a table of results like this:
EDIT
I've set up a SQL Fiddle, so we can test out the examples
http://www.sqlfiddle.com/#!6/a21ec
the fiddle has tsql for today and tsql for last week (which may need some tweaking)
Select Distinct
UserId
, ( Select Count(*) as CountToday from hitsTable h2
Where h2.UserId = h1.UserId
And Convert(date,hitDate) = Convert(date,GETDATE())
) As CountToday
, ( Select count(*) as CountLatWeek from hitsTable h2
Where h2.UserId = h1.UserId
And hitDate Between DATEADD(dd, -(DATEPART(dw, GetDate())-1)-7, GetDate())
And DATEADD(dd, 7-(DATEPART(dw, GetDate()))-7, GetDate())
) As CountLastWeek
FROM hitsTable h1
Here’s another alternative based on #Avinash comment on the question.
Select
UserId
, CountTodayTable.CountToday
, CountLatWeekTable.CountLatWeek
, ...
FROM hitsTable h1
Inner Join
( Select Count(*) as CountToday from hitsTable h2
Where h2.UserId = h1.UserId
And Convert(date,hitDate) = Convert(date,GETDATE())
) CountTodayTable
On CountTodayTable.UserId = h1.UserId
Inner Join
( Select count(*) as CountLatWeek from hitTable h2
Where h2.UserId = h1.UserId
And hitDate between (DATEADD(week, DATEDIFF (week,0,GETDATE()),-1)) And getDate()
) CountLatWeekTable
On CountLatWeekTable.UserId = h1.UserId
...
Try this query
select
id,
sum(case when Convert(date,hitDate) = Convert(date,GETDATE()) then 1 else 0 end) as as CountToday,
sum(hitDate between (DATEADD(week, DATEDIFF (week,0,GETDATE()),-1)) AND getDate() then 1 else 0 end) as CountLatWeek,
...... -- Add more condition
from
hitsTable
group by
UserId
Edit
select
userid,
sum(case when Convert(date,hitDate) =
Convert(date,GETDATE()) then 1 else 0 end) as cnt
from
hitstable
group by userid
FIDDLE
| USERID | CNT |
|--------|-----|
| User1 | 3 |
| User2 | 0 |
I have the following query:
SELECT DISTINCT
YEAR(DateRegistered) as Years,
Months.[MonthName],
COUNT(UserID)as totalReg
FROM
Months WITH(NOLOCK)
LEFT OUTER JOIN
UserProfile WITH(NOLOCK)
ON
Months.MonthID = MONTH(DateRegistered)
AND
DateRegistered > DATEADD(MONTH, -12,GETDATE())
GROUP BY YEAR(DateRegistered), Months.[MonthName]
ORDER BY Months.[MonthName]
As you can tell this will always bring back 12 months worth of data. As such it is working, although there is a bug with this method.
It creates Null values in months where there is no data, now the record should exist(whole point of the query) but Year field is bringing Nulls which is something I dont want.
Now I understand the problem is because there is no data, how is it supposed to know what year?
So my question is - is there any way to sort this out and replace the nulls? I suspect I will have to completely change my methodology.
**YEAR** **MONTH** **TOTAL**
2013 April 1
2013 August 1
NULL December 0
2013 February 8
2013 January 1
2013 July 1
NULL June 0
2013 March 4
NULL May 0
NULL November 0
NULL October 0
2012 September 3
If you want 12 months of data, then construct a list of numbers from 1 to 12 and use these as offsets with getdate():
with nums as (
select 12 as level union all
select level - 1
from nums
where level > 1
)
select YEAR(thedate) as Years,
Months.[MonthName],
COUNT(UserID) as totalReg
FROM (select DATEADD(MONTH, - nums.level, GETDATE()) as thedate
from nums
) mon12 left outer join
Months WITH (NOLOCK)
on month(mon12.thedate) = months.monthid left outer join
UserProfile WITH (NOLOCK)
ON Months.MonthID = MONTH(DateRegistered) and
DateRegistered > DATEADD(MONTH, -12, GETDATE())
GROUP BY YEAR(thedate), Months.[MonthName]
ORDER BY Months.[MonthName];
I find something strange about the query though. You are defining the span from the current date. However, you seem to be splitting the months themselves on calendar boundaries. I also find the table months to be awkward. Why aren't you just using the datename() and month() functions?
Try this out:
;With dates as (
Select DateName(Month, getdate()) as [Month],
DatePart(Year, getdate()) as [Year],
1 as Iteration
Union All
Select DateName(Month,DATEADD(MONTH, -Iteration, getdate())),
DatePart(Year,DATEADD(MONTH, -Iteration, getdate())),
Iteration + 1
from dates
where Iteration < 12
)
SELECT DISTINCT
d.Year,
d.Month as [MonthName],
COUNT(up.UserID)as totalReg
FROM dates d
LEFT OUTER JOIN UserProfile up ON d.Month = DateName(DateRegistered)
And d.Year = DatePart(Year, DateRegistered)
GROUP BY d.Year, d.Month
ORDER BY d.Year, d.Month
Here's my attempt at a solution:
declare #UserProfile table
(
id bigint not null identity(1,1) primary key clustered
, name nvarchar(32) not null
, dateRegistered datetime not null default(getutcdate())
)
insert #UserProfile
select 'person 1', '2011-01-23'
union select 'person 2', '2013-01-01'
union select 'person 3', '2013-05-27'
declare #yearMin int, #yearMax int
select #yearMin = year(MIN(dateRegistered))
, #yearMax= year(MAX(dateRegistered))
from #UserProfile
;with monthCte as
(
select 1 monthNo, DATENAME(month, '1900-01-01') Name
union all
select monthNo + 1, DATENAME(month, dateadd(month,monthNo,'1900-01-01'))
from monthCte
where monthNo < 12
)
, yearCte as
(
select #yearMin yearNo
union all
select yearNo + 1
from yearCte
where yearNo < #yearMax
)
select y.yearNo, m.Name, COUNT(up.id) UsersRegisteredThisPeriod
from yearCte y
cross join monthCte m
left outer join #UserProfile up
on year(up.dateRegistered) = y.yearNo
and month(up.dateRegistered) = m.monthNo
group by y.yearNo, m.monthNo, m.Name
order by y.yearNo, m.monthNo
SQL Fiddle Version: http://sqlfiddle.com/#!6/d41d8/6640
You have to calculate the counts in a Derived Table (or a CTE) first and then join
untested:
SELECT
COALESCE(dt.Years, YEAR(DATEADD(MONTH, -Months.MonthID, GETDATE()))),
Months.[MonthName],
COALESCE(dt.totalReg, 0)
FROM
Months WITH(NOLOCK)
LEFT OUTER JOIN
(
SELECT
YEAR(DateRegistered) AS Years,
MONTH(DateRegistered) AS Mon,
COUNT(UserID)AS totalReg
FROM UserProfile WITH(NOLOCK)
WHERE DateRegistered > DATEADD(MONTH, -12,GETDATE())
GROUP BY
YEAR(DateRegistered),
MONTH(DateRegistered)
) AS dt
ON Months.MonthID = dt.mon
ORDER BY 1, Months.MonthID
I changed the order to Months.MonthID instead of MonthName and i added year because you might have august 2012 and 2013 in your result.
Yesterday Thomas helped me a lot by providing exactly the query I wanted. And now I need a variant of it, and hopes someone can help me out.
I want it to output only one row, namely a max value - but it has to build on the algorithm in the following query:
WITH Calendar AS (SELECT CAST(#StartDate AS datetime) AS Date
UNION ALL
SELECT DATEADD(d, 1, Date) AS Expr1
FROM Calendar AS Calendar_1
WHERE (DATEADD(d, 1, Date) < #EndDate))
SELECT C.Date, C2.Country, COALESCE (SUM(R.[Amount of people per day needed]), 0) AS [Allocated testers]
FROM Calendar AS C CROSS JOIN
Country AS C2 LEFT OUTER JOIN
Requests AS R ON C.Date BETWEEN R.[Start date] AND R.[End date] AND R.CountryID = C2.CountryID
WHERE (C2.Country = #Country)
GROUP BY C.Date, C2.Country OPTION (MAXRECURSION 0)
The output from above will be like:
Date Country Allocated testers
06/01/2010 Chile 3
06/02/2010 Chile 4
06/03/2010 Chile 0
06/04/2010 Chile 0
06/05/2010 Chile 19
but what I need right now is
Allocated testers
19
that is - only one column - one row - the max value itself... (for the (via parameters (that already exists)) selected period of dates and country)
use order and limit
ORDER BY 'people needed DESC' LIMIT 1
EDITED
as LIMIT is not exist in sql
use ORDER BY and TOP
select TOP 1 .... ORDER BY 'people needed' DESC
WITH Calendar
AS (
SELECT
CAST(#StartDate AS datetime) AS Date
UNION ALL
SELECT
DATEADD(d, 1, Date) AS Expr1
FROM
Calendar AS Calendar_1
WHERE
( DATEADD(d, 1, Date) < #EndDate )
)
SELECT TOP 1 *
FROM
(
SELECT
C.Date
,C2.Country
,COALESCE(SUM(R.[Amount of people per day needed]), 0) AS [Allocated testers]
FROM
Calendar AS C
CROSS JOIN Country AS C2
LEFT OUTER JOIN Requests AS R
ON C.Date BETWEEN R.[Start date] AND R.[End date]
AND R.CountryID = C2.CountryID
WHERE
( C2.Country = #Country )
GROUP BY
C.Date
,C2.Country
OPTION
( MAXRECURSION 0 )
) lst
ORDER BY lst.[Allocated testers] DESC
Full example following the discussion in #Salil answer..
WITH Calendar AS (SELECT CAST(#StartDate AS datetime) AS Date
UNION ALL
SELECT DATEADD(d, 1, Date) AS Expr1
FROM Calendar AS Calendar_1
WHERE (DATEADD(d, 1, Date) < #EndDate))
SELECT TOP 1 C.Date, C2.Country, COALESCE (SUM(R.[Amount of people per day needed]), 0) AS [Allocated testers]
FROM Calendar AS C CROSS JOIN
Country AS C2 LEFT OUTER JOIN
Requests AS R ON C.Date BETWEEN R.[Start date] AND R.[End date] AND R.CountryID = C2.CountryID
WHERE (C2.Country = #Country)
GROUP BY C.Date, C2.Country
ORDER BY 3 DESC
OPTION (MAXRECURSION 0)
the ORDER BY 3 means order by the 3rd field in the SELECT statement.. so if you remove the first two fields, change this accordingly..