I have little table which gives me a very hard time:
Person datetime1 datetime2
Eric 2012-10-01 09:00:05.000 2012-10-01 22:00:00.000
Anna 2012-10-02 06:00:05.000 2012-10-03 12:00:05.000
Richard 2012-10-03 09:00:05.000 2012-10-04 02:00:05.000
Chuck 2012-10-01 12:00:05.000 2012-10-01 23:00:05.000
I am trying to write a query, which gives me statistics table. This table contains information about when a user logged in and out (daily granularity):
Date logged_in logged_off
2012-10-01 2 2
2012-10-02 1 0
2012-10-03 1 1
2012-10-04 0 1
According to my research, a pivot command could solve the problem?
select Person,
SUM(case when datetime1 = '2012-10-01' then 1 else 0 end) as [loggeed_in],
SUM(case when datetime2 = '2012-10-01' then 1 else 0 end) as [logged_of]
from table
group by Person
This is not working... Do you have any ideas?
This will fix the current query, but don't know if it will solve the whole problem...
select Person,
SUM(case when convert(varchar(10), datetime1, 111) = '2012/10/01' then 1 else 0 end) as [loggeed_in],
SUM(case when convert(varchar(10), datetime2, 111) = '2012/10/01' then 1 else 0 end) as [logged_of]
from table
group by Person
EDIT: I believe this will better suit requirements...
SELECT
[Date] = dt,
logged_in = (
SELECT COUNT(*)
FROM table1
WHERE convert(varchar(10), datetime1, 111) = convert(varchar(10), dt, 111)),
logged_off = (
SELECT COUNT(*)
FROM table1
WHERE convert(varchar(10), datetime2, 111) = convert(varchar(10), dt, 111))
FROM (
SELECT TOP 1000
row_number() OVER(ORDER BY (SELECT 0)) AS N
FROM master.dbo.syscolumns sc1, master.dbo.syscolumns sc2) tally
CROSS APPLY(
SELECT dt = DATEADD(dd, tally.N - 1, '2012-10-1')) tallydt
WHERE dt BETWEEN (SELECT MIN(dateadd(dd, -1, datetime1)) FROM table1) AND (SELECT MAX(datetime2) FROM table1)
GROUP BY dt
ORDER BY dt
Here is the working solution:
WITH O AS (
SELECT
CAST([login Date & Time] AS DATE) loginDate
,COUNT(*) logined
FROM table
GROUP BY CAST([login Date & Time] AS DATE)
), C AS (
SELECT
CAST([Close Date & Time] AS DATE) CloseDate
,COUNT(*) Closed
FROM table
WHERE [Close Date & Time] IS NOT NULL
GROUP BY CAST([Close Date & Time] AS DATE)
)
SELECT
COALESCE(C.CloseDate, O.loginDate) TheDate
--,O.loginDate
--,C.CloseDate
,O.logined
,C.Closed
FROM O
FULL JOIN C
ON O.loginDate = C.CloseDate
ORDER BY TheDate
Related
I have a list of dates like this (no gaps, each calendar date):
DateKey
Valid
2021-01-01
1
2021-01-02
1
2021-01-03
1
2021-01-04
0
2021-01-05
0
2021-01-06
1
2021-01-07
1
I would like to convert them using T-SQL to date ranges considering valid dates only.
So the results would be:
ValidFrom
ValidTo
2021-01-01
2021-01-03
2021-01-06
2021-01-07
Grouping simply by Valid flag rtutns wrong results:
select min(dateKey),max(dateKey)
from #t
group by Valid
If I knew how to assign a unique value for each continuous segment of valid dates, that would solve my problem. Is there anyone that can help me with this?
Just another option using the window function sum() over()
Select ValidFrom = min(DateKey)
,ValidTo = max(DateKey)
From (
Select *
,Grp = sum(case when Valid=0 then 1 else 0 end) over (order by DateKey)
from YourTable
) A
Where Valid=1
Group By Grp
Returns
ValidFrom ValidTo
2021-01-01 2021-01-03
2021-01-06 2021-01-07
Something like the following may work for you:
DECLARE #Dates TABLE (Dt DATE, Valid BIT)
INSERT #Dates
VALUES('2021-01-01', 1),
('2021-01-02', 1),
('2021-01-03', 1),
('2021-01-04', 0),
('2021-01-05', 0),
('2021-01-06', 1),
('2021-01-07', 1)
SELECT MIN(dt.Dt) AS BeginRange,
MAX(dt.Dt) AS EndRange
FROM (
SELECT d.Dt,
DATEDIFF(D, ROW_NUMBER() OVER(ORDER BY d.Dt), d.Dt) AS DtRange
FROM #Dates d
WHERE Valid = 1
) AS dt
GROUP BY dt.DtRange;
I think I've just found the solution of my problem:
https://dba.stackexchange.com/questions/197972/convert-list-of-dates-in-a-date-range-in-sql-server
DECLARE #t TABLE (dt DATE);
INSERT INTO #t (dt)
VALUES ('20180202')
,('20180203')
,('20180204')
,('20180205')
,('20180209')
,('20180212')
,('20180213');
WITH c
AS (
SELECT dt
,dateadd(day, - 1 * dense_rank() OVER (orderby dt), dt) AS grp
FROM #t
)
SELECT min(dt) AS start_range
,max(dt) AS end_range
FROM c
GROUP BY grp;
I am using Microsoft SQL Server and am trying to achieve the following
Date
Distinct Customers last 30Days
2020-12-01
20000
2020-12-02
23000
What I am trying to get is that between 2020-11-01 and 2020-12-01 I had 20000 distinct customers.
I have created a cte table with the List of Dates as can be seen below:
WITH listdate AS
(
SELECT CAST('2020-11-01' AS datetime) DateValue
UNION ALL
SELECT DateValue + 1
FROM listdate
WHERE DateValue + 1 < getdate()
)
SELECT
cast(DateValue as date) as DateValue
FROM listdate d
Now I am trying to join the customer and usage table with the list of dates table, however, I am not getting the correct end result. The following is what I have tried doing:
WITH listdate AS
(
SELECT CAST('2020-11-01' AS datetime) DateValue
UNION ALL
SELECT DateValue + 1
FROM listdate
WHERE DateValue + 1 < getdate()
)
SELECT
cast(DateValue as date) as DateValue
,count(distinct case when m.CallDate between dateadd(dd,-30,cast(d.datevalue as date)) and cast(d.datevalue as date) then m.Customerid end) as Distinct_CID
FROM listdate d
join Usage m on d.DateValue=m.CallDate
left join Customer c on c.CustomerID=m.Customer
where c.customertype = 'type A'
group by d.DateValue
OPTION (MAXRECURSION 0)
Can someone maybe suggest a different way of how to solve such a query?
Thanks
I would go for a lateral join to bring the count of distinct customers for the last 30 days:
with listdate as (
select cast('20201101' as date) as datevalue
union all
select dateadd(day, 1, datevalue) from listdate where datevalue < cast(getdate() as date)
)
select ld.datevalue, x.cnt
from listdate ld
cross apply (
select count(distinct c.customerid) as cnt
from usage u
inner join customer c on c.customerid = u.customerid
where
c.customertype = 'type A'
and c.calldate >= dateadd(day, -29, datevalue)
and c.calldate < dateadd(day, 1, datevalue)
) x
option (maxrecursion 0)
Note that I simplified the parts related to dates: this uses proper literal dates and date arithmetics in the recursive query; the where clause of the subquery implements what I understand as the last 30 days (today + the preceding 29 days), and properly handles the time portion of calldate, if any.
I try this SQL query to get current total and also last 2 months records and current month record means total 3 months..
Select distinct
tblRv.Owner,
(Select Count(*) as total from tblvv WHERE MasterID =tblRv.ID and Name <> '')
as currentdata
from tblRe
inner join tblRv
On tblRe.RID = tblRv.RID
WHERE
tblRe.StartDate between dateadd(m, -2, getdate()) and getdate() and
//tblRe.StartDate >= '2016-07-01 00:00:00' AND
//tblRe.EndDate <= '2016-07-08 23:59:59'
and tblRe.Region = 'uk' and
tblRv.Owner='Roh'
order by tblRv.Owner
when i exe this show me like this
OwnerName currentdata
Roh 1
Roh 2
Roh 3
Roh 5
and when i check individually write query and check from date 2016-07-01 and todate 2016-07-30 dates then this show me data 3 and 2016-06-01 00:00:00 and 2016-06-31 23:59:59 show me data 1 and 2016-05-01 00:00:00 ,2016-05-31 23:59:59 show me data 0
so i want data like this
owner july june may
roh 3 1 0
also when there will be current month i.e. aug then data must display last 2 months i.e.june july
Select
tblRv.Owner
,DATENAME(MONTH,tblRe.StartDate) as [Month]
,ISNULL(SUM(total),0) as currentdata
from tblRe
INNER JOIN tblRv ON tblRe.RID = tblRv.RID
LEFT JOIN (
Select Count(*) as total ,MasterID
from tblvv
WHERE Name <> ''
GROUP BY MasterID
) tblvv
ON tblvv.MasterID =tblRv.ID
WHERE tblRe.StartDate >= DATEADD(MONTH, -2, GETDATE())
AND tblRe.EndDate <= GETDATE()
AND tblRe.Region = 'uk'
AND tblRv.[Owner] ='Roh'
GROUP BY tblRv.Owner
,DATENAME(MONTH,tblRe.StartDate)
order by tblRv.[Owner]
You can try doing a pivot query where the three columns to be pivoted are the current, previous, and previous previous month in your data set. Note that I had to rewrite your query to remove the subqueries in the SELECT clause, because this makes it impossible to do aggregation of those columns.
SELECT tblRv.Owner,
SUM(CASE WHEN tblRe.StartDate = GETDATE() THEN t.total ELSE 0 END) AS currMonth,
SUM(CASE WHEN tblRe.StartDate = DATEADD(m, -1, GETDATE())
THEN t.total ELSE 0 END) AS prevMonth,
SUM(CASE WHEN tblRe.StartDate = DATEADD(m, -2, GETDATE())
THEN t.total ELSE 0 END) AS lastPrevMonth
FROM tblRe
INNER JOIN tblRv
ON tblRe.RID = tblRv.RID
INNER JOIN
(
SELECT MasterID, COUNT(*) AS total
FROM tblvv
GROUP BY MasterID
WHERE Name <> ''
) AS t
ON tblRv.ID = t.MasterID
WHERE tblRe.StartDate BETWEEN DATEADD(m, -2, GETDATE()) AND GETDATE() AND
tblRe.Region = 'uk' AND
tblRv.Owner = 'Roh'
GROUP BY tblRv.Owner
ORDER BY tblRv.Owner
I have my database table ABC as shown below :
ItemId Month Year Sales
1 1 2013 333
1 2 2013 454
2 1 2013 434
and so on .
I would like to write a query to find the top 3 items that have had the highest increase in sales from last month to this month , so that I see somethinglike this in the output.
Output :
ItemId IncreaseInSales
1 +121
9 +33
6 +16
I came up to here :
select
(select Sum(Sales) from ABC where [MONTH] = 11 )
-
(select Sum(Sales) from ABC where [MONTH] = 10)
I cannot use a group by as it is giving an error . Can anyone point me how I can
proceed further ?
Assuming that you want the increase for a given month, you can also do this with an aggregation query:
select top 3 a.ItemId,
((sum(case when year = #YEAR and month = #MONTH then 1.0*sales end) /
sum(case when year = #YEAR and month = #MONTH - 1 or
year = #YEAR - 1 and #Month = 1 and month = 12
then sales end)
) - 1
) * 100 as pct_increase
from ABC a
group by a.ItemId
order by pct_increase desc;
You would put the year/month combination you care about in the variables #YEAR and #MONTH.
EDIT:
If you just want the increase, then do a difference:
select top 3 a.ItemId,
(sum(case when year = #YEAR and month = #MONTH then 1.0*sales end) -
sum(case when year = #YEAR and month = #MONTH - 1 or
year = #YEAR - 1 and #Month = 1 and month = 12
then sales
end)
) as difference
from ABC a
group by a.ItemId
order by difference desc;
Here is the SQL Fiddle that demonstrates the below query:
SELECT TOP(3) NewMonth.ItemId,
NewMonth.Month11Sales - OldMonth.Month10Sales AS IncreaseInSales
FROM
(
SELECT s1.ItemId, Sum(s1.Sales) AS Month11Sales
FROM ABC AS s1
WHERE s1.MONTH = 11
AND s1.YEAR = 2013
GROUP BY s1.ItemId
) AS NewMonth
INNER JOIN
(
SELECT s2.ItemId, Sum(s2.Sales) AS Month10Sales
FROM ABC AS s2
WHERE s2.MONTH = 10
AND s2.YEAR = 2013
GROUP BY s2.ItemId
) AS OldMonth
ON NewMonth.ItemId = OldMonth.ItemId
ORDER BY NewMonth.Month11Sales - OldMonth.Month10Sales DESC
You never mentioned if you could have more than one record for an ItemId with the same Month, so I made the query to handle it either way. Obviously you were lacking the year = 2013 in your query. Once you get past this year you will need that.
Another option could be something on these lines:
SELECT top 3 a.itemid, asales-bsales increase FROM
(
(select itemid, month, sum(sales) over(partition by itemid) asales from ABC where month=2
and year=2013) a
INNER JOIN
(select itemid, month, sum(sales) over(partition by itemid) bsales from ABC where month=1
and year=2013) b
ON a.itemid=b.itemid
)
ORDER BY increase desc
if you need to cater for months without sales then you can do a FULL JOIN and calculate increase as isnull(asales,0) - isnull(bsales,0)
You could adapt this solution based on PIVOT operator:
SET NOCOUNT ON;
DECLARE #Sales TABLE
(
ItemID INT NOT NULL,
SalesDate DATE NOT NULL,
Amount MONEY NOT NULL
);
INSERT #Sales (ItemID, SalesDate, Amount)
VALUES
(1, '2013-01-15', 333), (1, '2013-01-14', 111), (1, '2012-12-13', 100), (1, '2012-11-12', 150),
(2, '2013-01-11', 200), (2, '2012-12-10', 150), (3, '2013-01-09', 900);
-- Parameters (current year & month)
DECLARE #pYear SMALLINT = 2013,
#pMonth TINYINT = 1;
DECLARE #FirstDayOfCurrentMonth DATE = CONVERT(DATE, CONVERT(CHAR(4), #pYear) + '-' + CONVERT(CHAR(2), #pMonth) + '-01');
DECLARE #StartDate DATE = DATEADD(MONTH, -1, #FirstDayOfCurrentMonth), -- Begining of the previous month
#EndDate DATE = DATEADD(DAY, -1, DATEADD(MONTH, 1, #FirstDayOfCurrentMonth)) -- End of the current month
SELECT TOP(3) t.ItemID,
t.[2]-t.[1] AS IncreaseAmount
FROM
(
SELECT y.ItemID, y.Amount,
DENSE_RANK() OVER(ORDER BY y.FirstDayOfSalesMonth ASC) AS MonthNum -- 1=Previous Month, 2=Current Month
FROM
(
SELECT x.ItemID, x.Amount,
DATEADD(MONTH, DATEDIFF(MONTH, 0, x.SalesDate), 0) AS FirstDayOfSalesMonth
FROM #Sales x
WHERE x.SalesDate BETWEEN #StartDate AND #EndDate
) y
) z
PIVOT( SUM(z.Amount) FOR z.MonthNum IN ([1], [2]) ) t
ORDER BY IncreaseAmount DESC;
SQLFiddle demo
Your sample data seems to be incomplete, however, here is my try. I assume that you want to know the three items with the greatest sales-difference from one month to the next:
WITH Increases AS
(
SELECT a1.itemid,
a1.sales - (SELECT a2.sales
FROM dbo.abc a2
WHERE a1.itemid = a2.itemid
AND ( ( a1.year = a2.year
AND a1.month > 1
AND a1.month = a2.month + 1 )
OR ( a1.year = a2.year + 1
AND a1.month = 1
AND a2.month = 12 ) ))AS IncreaseInSales
FROM dbo.abc a1
)
SELECT TOP 3 ItemID, MAX(IncreaseInSales) AS IncreaseInSales
FROM Increases
GROUP BY ItemID
ORDER BY MAX(IncreaseInSales) DESC
Demo
SELECT
cur.[ItemId]
MAX(nxt.[Sales] - cur.[Sales]) AS [IncreaseInSales]
FROM ABC cur
INNER JOIN ABC nxt ON (
nxt.[Year] = cur.[Year] + cur.[month]/12 AND
nxt.[Month] = cur.[Month]%12 + 1
)
GROUP BY cur.[ItemId]
I'd do this this way. It should work in all the tagged versions of SQL Server:
SELECT TOP 3 [ItemId],
MAX(CASE WHEN [Month] = 2 THEN [Sales] END) -
MAX(CASE WHEN [Month] = 1 THEN [Sales] END) [Diff]
FROM t
WHERE [Month] IN (1, 2) AND [Year] = 2013
GROUP BY [ItemId]
HAVING COUNT(*) = 2
ORDER BY [Diff] DESC
Fiddle here.
The reason why I'm adding the HAVING clause is that if any item is added in only one of the months then the numbers will be all wrong. So I'm only comparing items that are only present in both months.
The reason of the WHERE clause would be to filter in advance only the needed months and improve the efficiency of the query.
An SQL Server 2012 solution could also be:
SELECT TOP 3 [ItemId], [Diff] FROM (
SELECT [ItemId],
LEAD([Sales]) OVER (PARTITION BY [ItemId] ORDER BY [Month]) - [Sales] Diff
FROM t
WHERE [Month] IN (1, 2) AND [Year] = 2013
) s
WHERE [Diff] IS NOT NULL
ORDER BY [Diff] DESC
I have an app that needs to show a bar graph for activity over the last 30 days. The graph needs to show all days even if there is no activity for the day.
for example:
DATE COUNT
==================
1/1/2011 5
1/2/2011 3
1/3/2011 0
1/4/2011 4
1/5/2011 0
etc....
I could do post processing after the query to figure out what dates are missing and add them but was wondering if there is an easier way to do it in SQL Server. Thanks much
You can use a recursive CTE to build your list of 30 days, then join that to your data
--test
select cast('05 jan 2011' as datetime) as DT, 1 as val into #t
union all select CAST('05 jan 2011' as datetime), 1
union all select CAST('29 jan 2011' as datetime), 1
declare #start datetime = '01 jan 2011'
declare #end datetime = dateadd(day, 29, #start)
;with amonth(day) as
(
select #start as day
union all
select day + 1
from amonth
where day < #end
)
select amonth.day, count(val)
from amonth
left join #t on #t.DT = amonth.day
group by amonth.day
>>
2011-01-04 00:00:00.000 0
2011-01-05 00:00:00.000 2
2011-01-06 00:00:00.000 0
2011-01-07 00:00:00.000 0
2011-01-08 00:00:00.000 0
2011-01-09 00:00:00.000 0
...
Using CTE:
WITH DateTable
AS
(
SELECT CAST('20110101' AS Date) AS [DATE]
UNION ALL
SELECT DATEADD(dd, 1, [DATE])
FROM DateTable
WHERE DATEADD(dd, 1, [DATE]) < cast('20110201' as Date)
)
SELECT dt.[DATE], ISNULL(md.[COUNT], 0) as [COUNT]
FROM [DateTable] dt
LEFT JOIN [MyData] md
ON md.[DATE] = dt.[DATE]
This is assuming everything's a Date; if it's DateTime, you'll have to truncate (with DATEADD(dd, 0, DATEDIFF(dd, 0, [DATE]))).
#Alex K.'s answer is completely correct, but it doesn't work for versions that do not support Recursive common table expressions (like the version I'm working with). In this case the following would do the job.
DECLARE #StartDate datetime = '2015-01-01'
DECLARE #EndDate datetime = SYSDATETIME()
;WITH days AS
(
SELECT DATEADD(DAY, n, DATEADD(DAY, DATEDIFF(DAY, 0, #StartDate), 0)) as d
FROM ( SELECT TOP (DATEDIFF(DAY, #StartDate, #EndDate) + 1)
n = ROW_NUMBER() OVER (ORDER BY [object_id]) - 1
FROM sys.all_objects ORDER BY [object_id] ) AS n
)
select days.d, count(t.val)
FROM days LEFT OUTER JOIN yourTable as t
ON t.dateColumn >= days.d AND t.dateColumn < DATEADD(DAY, 1, days.d)
GROUP BY days.d
ORDER BY days.d;
My scenario was a bit more complex than the OP example, so thought I'd share to help others who have similar issues. I needed to group sales orders by date taken, whereas the orders are stored with datetime.
So in the "days" lookup table I could not really store as a date time with the time being '00:00:00.000' and get any matches. Therefore I stored as a string and I tried to join on the converted value directly.
That did not return any zero rows, and the solution was to do a sub-query returning the date already converted to a string.
Sample code as follows:
declare #startDate datetime = convert(datetime,'09/02/2016')
declare #curDate datetime = #startDate
declare #endDate datetime = convert(datetime,'09/09/2016')
declare #dtFormat int = 102;
DECLARE #null_Date varchar(24) = '1970-01-01 00:00:00.000'
/* Initialize #days table */
select CONVERT(VARCHAR(24),#curDate, #dtFormat) as [Period] into #days
/* Populate dates into #days table */
while (#curDate < #endDate )
begin
set #curDate = dateadd(d, 1, #curDate)
insert into #days values (CONVERT(VARCHAR(24),#curDate, #dtFormat))
end
/* Outer aggregation query to group by order numbers */
select [Period], count(c)-case when sum(c)=0 then 1 else 0 end as [Orders],
sum(c) as [Lines] from
(
/* Inner aggregation query to sum by order lines */
select
[Period], sol.t_orno, count(*)-1 as c
from (
/* Inner query against source table with date converted */
select convert(varchar(24),t_dldt, #dtFormat) as [shipdt], t_orno
from salesorderlines where t_dldt > #startDate
) sol
right join #days on shipdt = #days.[Period]
group by [Period], sol.t_orno
) as t
group by Period
order by Period desc
drop table #days
Sample Results:
Period Orders Lines
2016.09.09 388 422
2016.09.08 169 229
2016.09.07 1 1
2016.09.06 0 0
2016.09.05 0 0
2016.09.04 165 241
2016.09.03 0 0
2016.09.02 0 0
Either define a static table containing dates or create a temp table \ table variable on the fly to store each date between (and including) the min and max dates in the activity table you're working with.
Use an outer join between the two tables to make sure that each date in your dates table is reflected in the output.
If you use a static dates table you will likely want to limit the date range that is output to only the range needed in the graph.
Without Transact-SQL: MS SQL 2005 - Get a list of all days of a Month:
In my case '20121201' is a predefined value.
SELECT TOp (Select Day(DateAdd(day, -Day(DateAdd(month, 1,
'20121201')),
DateAdd(month, 1, '20121201')))) DayDate FROM ( SELECT DATEADD(DAY,ROW_NUMBER() OVER (ORDER BY (SELECT
NULL))-1,'20121201') as DayDate FROM sys.objects s1 CROSS JOIN
sys.objects s2 ) q
Recursive CTE works for max 80 years which is good enough:
DECLARE #dStart DATE,
#dEnd DATE
SET #dStart = GETDATE ()
SET #dEnd = DATEADD (YEAR, 80, #dStart)
;WITH CTE AS
(
SELECT #dStart AS dDay
UNION ALL
SELECT DATEADD (DAY, 1, dDay)
FROM CTE
WHERE dDay < #dEnd
)
SELECT * FROM CTE
OPTION (MaxRecursion 32767)
create a numbers table and use it like:
declare #DataTable table (DateColumn datetime)
insert #DataTable values ('2011-01-09')
insert #DataTable values ('2011-01-10')
insert #DataTable values ('2011-01-10')
insert #DataTable values ('2011-01-11')
insert #DataTable values ('2011-01-11')
insert #DataTable values ('2011-01-11')
declare #StartDate datetime
SET #StartDate='1/1/2011'
select
#StartDate+Number,SUM(CASE WHEN DateColumn IS NULL THEN 0 ELSE 1 END)
FROM Numbers
LEFT OUTER JOIN #DataTable ON DateColumn=#StartDate+Number
WHERE Number>=1 AND Number<=15
GROUP BY #StartDate+Number
OUTPUT:
----------------------- -----------
2011-01-02 00:00:00.000 0
2011-01-03 00:00:00.000 0
2011-01-04 00:00:00.000 0
2011-01-05 00:00:00.000 0
2011-01-06 00:00:00.000 0
2011-01-07 00:00:00.000 0
2011-01-08 00:00:00.000 0
2011-01-09 00:00:00.000 1
2011-01-10 00:00:00.000 2
2011-01-11 00:00:00.000 3
2011-01-12 00:00:00.000 0
2011-01-13 00:00:00.000 0
2011-01-14 00:00:00.000 0
2011-01-15 00:00:00.000 0
2011-01-16 00:00:00.000 0
(15 row(s) affected)
Maybe something like this:
Create DaysTable countaining the 30 days.
And DataTable containing "day" column and "count" column.
And then left join them.
WITH DaysTable (name) AS (
SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4 -- .. And so on to 30
),
DataTable (name, value) AS (
SELECT DATEPART(DAY, [Date]), [Count]
FROM YourExampleTable
WHERE [Date] < DATEADD (day , -30 , getdate())
)
SELECT DaysTable.name, DataTable.value
FROM DaysTable LEFT JOIN
DataTable ON DaysTable.name = DataTable.name
ORDER BY DaysTable.name
For those with a recursion allergy
select SubQ.TheDate
from
(
select DATEADD(day, a.a + (10 * b.a) + (100 * c.a), DATEADD(day, DATEDIFF(day, 0, GETDATE()), 0) - 30) AS TheDate
from
(
(select 0 as a union all select 1 union all select 2 union all select 3 union all select 4 union all select 5 union all select 6 union all select 7 union all select 8 union all select 9) as a
cross join (select 0 as a union all select 1 union all select 2 union all select 3 union all select 4 union all select 5 union all select 6 union all select 7 union all select 8 union all select 9) as b
cross join (select 0 as a union all select 1 union all select 2 union all select 3 union all select 4 union all select 5 union all select 6 union all select 7 union all select 8 union all select 9) as c
)
WHERE a.a + (10 * b.a) + (100 * c.a) < 30
) AS SubQ
ORDER BY TheDate
Try it.
DECLARE #currentDate DATETIME = CONVERT(DATE, GetDate())
DECLARE #startDate DATETIME = DATEADD(DAY, -DAY(#currentDate)+1, #currentDate)
;WITH fnDateNow(DayOfDate) AS
(
SELECT #startDate AS DayOfDate
UNION ALL
SELECT DayOfDate + 1 FROM fnDateNow WHERE DayOfDate < #currentDate
) SELECT fnDateNow.DayOfDate FROM fnDateNow
DECLARE #StartDate DATE = '20110101', #NumberOfYears INT = 1;
DECLARE #CutoffDate DATE = DATEADD(YEAR, #NumberOfYears, #StartDate);
CREATE TABLE Calender
(
[date] DATE
);
INSERT Calender([date])
SELECT d
FROM
(
SELECT d = DATEADD(DAY, rn - 1, #StartDate)
FROM
(
SELECT TOP (DATEDIFF(DAY, '2011-01-01', '2011-12-31'))
rn = ROW_NUMBER() OVER (ORDER BY s1.[object_id])
FROM sys.all_objects AS s1
CROSS JOIN sys.all_objects AS s2
ORDER BY s1.[object_id]
) AS x
) AS y;
create table test(a date)
insert into test values('1/1/2011')
insert into test values('1/1/2011')
insert into test values('1/1/2011')
insert into test values('1/1/2011')
insert into test values('1/1/2011')
insert into test values('1/2/2011')
insert into test values('1/2/2011')
insert into test values('1/2/2011')
insert into test values('1/4/2011')
insert into test values('1/4/2011')
insert into test values('1/4/2011')
insert into test values('1/4/2011')
select c.date as DATE,count(t.a) as COUNT from calender c left join test t on c.date = t.a group by c.date