I have this data:
id worked_date
-----------------
1 2013-09-25
2 2013-09-26
3 2013-10-01
4 2013-10-04
5 2013-10-07
I want to add a column called weekCount. The based date is 2013-09-25. So all the data with worked_date from 2013-09-25 to 2013-10-01 will have weekCount as 1 and from 2013-10-02 to 2013-10-8 will have weekCount as 2 and so on. How can that be done?
Thanks.
Here's one way using DATEDIFF:
select id,
worked_date,
1 + (datediff(day, '2013-09-25', worked_date) / 7) weekCount
from yourtable
SQL Fiddle Demo
Perhaps an approach like this will solve your problem.
I compute an in-memory table that contains the week's boundaries along with a monotonically increasing number (BuildWeeks). I then compare my worked_date values to my date boundaries. Based on your comment to #sgeddes, you need the reverse week number so I then use a DENSE_RANK function to calculate the ReverseWeekNumber.
WITH BOT(StartDate) AS
(
SELECT CAST('2013-09-25' AS date)
)
, BuildWeeks (WeekNumber, StartOfWeek, EndOfWeek) AS
(
SELECT
N.number AS WeekNumber
, DateAdd(week, N.number -1, B.StartDate) AS StartOfWeek
, DateAdd(d, -1, DateAdd(week, N.number, B.StartDate)) AS EndOfWeek
FROM
dbo.Numbers AS N
CROSS APPLY
BOT AS B
)
SELECT
M.*
, BW.*
, DENSE_RANK() OVER (ORDER BY BW.WeekNumber DESC) AS ReverseWeekNumber
FROM
dbo.MyTable M
INNER JOIN
BuildWeeks AS BW
ON M.worked_date BETWEEN BW.StartOfWeek ANd BW.EndOfWeek
;
SQLFiddle
If you are looking for a Fiscal Week number, I would use a function that would calculate the week:
CREATE FUNCTION FiscalWeek(#FiscalStartDate datetime, #EvalDate datetime)
RETURNS INT
AS
BEGIN
DECLARE #weekNumber INT = (DATEDIFF(DAY, #FiscalStartDate, #EvalDate) / 7) + 1
RETURN (#weekNumber % 52)
END
GO
If you used a fiscal starting date of '2013-09-25' and an evaluation date of '2014-09-25' you would get a week number of 1.
Using a function gives you a little more flexibility to do whatever you need.
Perhaps not the most elegant way but this works for me to get the top rank number:
WITH CTE AS (
SELECT employee_id, DENSE_RANK() OVER (ORDER BY DATEDIFF(DAY, ''20130925'', worked_date )/7 DESC) AS weekRank
FROM Timesheet
)
SELECT TOP (1) weekRank
FROM CTE
WHERE employee_id=#employee_id
ORDER BY weekRank DESC
This is how I can create weekRank column and pass a parameter dynamically:
WITH rank_cte AS (
SELECT timesheet_id,employee_id, date_worked,
dateadd(week, datediff(day,'20000105',worked_date) / 7, '20000105') AS WeekStart,
dateadd(week, datediff(day,'20000105',worked_date) / 7, '20000105')+6 AS WeekEnd,
DENSE_RANK() OVER (ORDER BY 1 + DATEDIFF(DAY, '20130925', worked_date )/7 DESC) AS weekRank
FROM Timesheet
)
SELECT timesheet_id, worked_date, WeekStart, WeekEnd, weekRank
FROM rank_cte rc
WHERE employee_id=#employee_id
AND weekRank=#weekRank
ORDER BY worked_date DESC
Thanks
Related
I have a table with 10 million rows, where there are two columns that contain the start date and the end date of the range. For example, 2019-09-25 and 2019-10-20. I want to extract the month number with the maximum number of days, in this example it will be 10. In addition to dates that are separated by one month, there are also such examples: 2019-07-01 and 2019-07-29 (within one month), as well as 2019-07-01 and 2019-09-05 (more than one month). How can I implement this?
Seems like you could do something like this:
SELECT CASE WHEN DATEDIFF(DAY, DATEFROMPARTS(YEAR(EndDate),MONTH(EndDate),1),EndDate) >= DATEDIFF(DAY, StartDate, EOMONTH(StartDate)) THEN DATEPART(MONTH,EndDate)
ELSE DATEPART(MONTH,StartDate)
END
FROM (VALUES('20190925','20191020'))V(StartDate,EndDate);
Does the following fit your requirements?
You can build a table of days-in-month (this would be permanent ideally)
and then join to it using the month numbers of your min and max dates.
declare #start date='20190925', #end date='20191020';
--declare #start date='20190701', #end date='20190729';
--declare #start date='20190701', #end date='20190905';
with dim as (
select m,DAY(DATEADD(DD,-1,DATEADD(mm, DATEDIFF(mm, 0, DateFromParts(Year(GetDate()),m,1) )+1, 0)))d
from (values(1),(2),(3),(4),(5),(6),(7),(8),(9),(10),(11),(12))m(m)
)
select top(1) with ties m
from dim
where m between Month(#start) and Month(#end)
order by d desc
You don't state how you determin the most days where there are several months with the same number of months, so with ties includes all qualifying months.
Edit
So I don't know if there is a requirement to span years - the sample data suggests not - however with a permanent list of dates and corresponding days in month values (this is often part of a calendar table) a slight tweak will accomodate it.
with dim as (
select Year(#start)*100 + m m, Day(DATEADD(DD,-1,DATEADD(mm, DATEDIFF(mm, 0, DateFromParts(Year(#start),m,1) )+1, 0)))d
from (values(1),(2),(3),(4),(5),(6),(7),(8),(9),(10),(11),(12))m(m)
union all
select Year(#end)*100 + m m, Day(DATEADD(DD,-1,DATEADD(mm, DATEDIFF(mm, 0, DateFromParts(Year(#end),m,1) )+1, 0)))d
from (values(1),(2),(3),(4),(5),(6),(7),(8),(9),(10),(11),(12))m(m)
)
select top(1) with ties m
from dim
where m between Year(#start)*100 + Month(#start) and Year(#end)*100 + Month(#end)
order by d desc
You could try something like this
with
l0(n) as (
select 1 n
from (values (1),(1),(1),(1),(1),(1),(1),(1)) as v(n))
select top(1) with ties
vTable.*, calc.dt month_with_most_days
from (values ('20190925','20191020'),
('20190925','20191120')) vTable(startdate, enddate)
cross apply (values (datediff(month, vTable.startdate, vTable.enddate))) diff(mo_count)
cross apply (select top (diff.mo_count+1)
row_number() over (order by (select null)) n
from l0 l1, l0 l2, l0 l3, l0 l4) tally /* 8^4 months possible */
cross apply (values (cast(case when tally.n=1 then startdate
when tally.n=diff.mo_count+1 then enddate
else eomonth(dateadd(month, tally.n-1, startdate)) end as date))) calc(dt)
order by row_number() over (partition by startdate, enddate
order by day(calc.dt) desc);
startdate enddate month_with_most_days
20190925 20191020 2019-09-25
20190925 20191120 2019-10-31
I have a T-SQL Quotes table and need to be able to count how many quotes were in an open status during past months.
The dates I have to work with are an 'Add_Date' timestamp and an 'Update_Date' timestamp. Once a quote is put into a 'Closed_Status' of '1' it can no longer be updated. Therefore, the 'Update_Date' effectively becomes the Closed_Status timestamp.
I'm stuck because I can't figure out how to select all open quotes that were open in a particular month.
Here's a few example records:
Quote_No Add_Date Update_Date Open_Status Closed_Status
001 01-01-2016 NULL 1 0
002 01-01-2016 3-1-2016 0 1
003 01-01-2016 4-1-2016 0 1
The desired result would be:
Year Month Open_Quote_Count
2016 01 3
2016 02 3
2016 03 2
2016 04 1
I've hit a mental wall on this one, I've tried to do some case when filtering but I just can't seem to figure this puzzle out. Ideally I wouldn't be hard-coding in dates because this spans years and I don't want to maintain this once written.
Thank you in advance for your help.
You are doing this by month. So, three options come to mind:
A list of all months using left join.
A recursive CTE.
A number table.
Let me show the last:
with n as (
select row_number() over (order by (select null)) - 1 as n
from master..spt_values
)
select format(dateadd(month, n.n, q.add_date), 'yyyy-MM') as yyyymm,
count(*) as Open_Quote_Count
from quotes q join
n
on (closed_status = 1 and dateadd(month, n.n, q.add_date) <= q.update_date) or
(closed_status = 0 and dateadd(month, n.n, q.add_date) <= getdate())
group by format(dateadd(month, n.n, q.add_date), 'yyyy-MM')
order by yyyymm;
This does assume that each month has at least one open record. That seems reasonable for this purpose.
You can use datepart to extract parts of a date, so something like:
select datepart(year, add_date) as 'year',
datepart(month, date_date) as 'month',
count(1)
from theTable
where open_status = 1
group by datepart(year, add_date), datepart(month, date_date)
Note: this counts for the starting month and primarily to show the use of datepart.
Updated as misunderstood the initial request.
Consider following test data:
DECLARE #test TABLE
(
Quote_No VARCHAR(3),
Add_Date DATE,
Update_Date DATE,
Open_Status INT,
Closed_Status INT
)
INSERT INTO #test (Quote_No, Add_Date, Update_Date, Open_Status, Closed_Status)
VALUES ('001', '20160101', NULL, 1, 0)
, ('002', '20160101', '20160301', 0, 1)
, ('003', '20160101', '20160401', 0, 1)
Here is a recursive solution, that doesn't rely on system tables BUT also performs poorer. As we are talking about months and year combinations, the number of recursions will not get overhand.
;WITH YearMonths AS
(
SELECT YEAR(MIN(Add_Date)) AS [Year]
, MONTH(MIN(Add_Date)) AS [Month]
, MIN(Add_Date) AS YMDate
FROM #test
UNION ALL
SELECT YEAR(DATEADD(MONTH,1,YMDate))
, MONTH(DATEADD(MONTH,1,YMDate))
, DATEADD(MONTH,1,YMDate)
FROM YearMonths
WHERE YMDate <= SYSDATETIME()
)
SELECT [Year]
, [Month]
, COUNT(*) AS Open_Quote_Count
FROM YearMonths ym
INNER JOIN #test t
ON (
[Year] * 100 + [Month] <= CAST(FORMAT(t.Update_Date, 'yyyyMM') AS INT)
AND t.Closed_Status = 1
)
OR (
[Year] * 100 + [Month] <= CAST(FORMAT(SYSDATETIME(), 'yyyyMM') AS INT)
AND t.Closed_Status = 0
)
GROUP BY [Year], [Month]
ORDER BY [Year], [Month]
Statement is longer, also more readable and lists all year/month combinations to date.
Take a look at Date and Time Data Types and Functions for SQL-Server 2008+
and Recursive Queries Using Common Table Expressions
What I need is to calculate the missing time periods within the calendar year given a table such as this in SQL:
DatesTable
|ID|DateStart |DateEnd |
1 NULL NULL
2 2015-1-1 2015-12-31
3 2015-3-1 2015-12-31
4 2015-1-1 2015-9-30
5 2015-1-1 2015-3-31
5 2015-6-1 2015-12-31
6 2015-3-1 2015-6-30
6 2015-7-1 2015-10-31
Expected return would be:
1 2015-1-1 2015-12-31
3 2015-1-1 2015-2-28
4 2015-10-1 2015-12-31
5 2015-4-1 2015-5-31
6 2015-1-1 2015-2-28
6 2015-11-1 2015-12-31
It's essentially work blocks. What I need to show is the part of the calendar year which was NOT worked. So for ID = 3, he worked from 3/1 through the rest of the year. But he did not work from 1/1 till 2/28. That's what I'm looking for.
You can do it using LEAD, LAG window functions available from SQL Server 2012+:
;WITH CTE AS (
SELECT ID,
LAG(DateEnd) OVER (PARTITION BY ID ORDER BY DateEnd) AS PrevEnd,
DateStart,
DateEnd,
LEAD(DateStart) OVER (PARTITION BY ID ORDER BY DateEnd) AS NextStart
FROM DatesTable
)
SELECT ID, DateStart, DateEnd
FROM (
-- Get interval right before current [DateStart, DateEnd] interval
SELECT ID,
CASE
WHEN DateStart IS NULL THEN '20150101'
WHEN DateStart > start THEN start
ELSE NULL
END AS DateStart,
CASE
WHEN DateStart IS NULL THEN '20151231'
WHEN DateStart > start THEN DATEADD(d, -1, DateStart)
ELSE NULL
END AS DateEnd
FROM CTE
CROSS APPLY (SELECT COALESCE(DATEADD(d, 1, PrevEnd), '20150101')) x(start)
-- If there is no next interval then get interval right after current
-- [DateStart, DateEnd] interval (up-to end of year)
UNION ALL
SELECT ID, DATEADD(d, 1, DateEnd) AS DateStart, '20151231' AS DateEnd
FROM CTE
WHERE DateStart IS NOT NULl -- Do not re-examine [Null, Null] interval
AND NextStart IS NULL -- There is no next [DateStart, DateEnd] interval
AND DateEnd < '20151231' -- Current [DateStart, DateEnd] interval
-- does not terminate on 31/12/2015
) AS t
WHERE t.DateStart IS NOT NULL
ORDER BY ID, DateStart
The idea behind the above query is simple: for every [DateStart, DateEnd] interval get 'not worked' interval right before it. If there is no interval following the current interval, then also get successive 'not worked' interval (if any).
Also note that I assume that if DateStart is NULL then DateStart is also NULL for the same ID.
Demo here
If your data is not too big, this approach will work. It expands all the days and ids and then re-groups them:
with d as (
select cast('2015-01-01' as date)
union all
select dateadd(day, 1, d)
from d
where d < cast('2015-12-31' as date)
),
td as (
select *
from d cross join
(select distinct id from t) t
where not exists (select 1
from t t2
where d.d between t2.startdate and t2.enddate
)
)
select id, min(d) as startdate, max(d) as enddate
from (select td.*,
dateadd(day, - row_number() over (partition by id order by d), d) as grp
from td
) td
group by id, grp
order by id, grp;
An alternative method relies on cumulative sums and similar functionality that is much easier to expression in SQL Server 2012+.
Somewhat simpler approach I think.
Basically create a list of dates for all work block ranges (A). Then create a list of dates for the whole year for each ID (B). Then remove the A from B. Compile the remaining list of dates into date ranges for each ID.
DECLARE #startdate DATETIME, #enddate DATETIME
SET #startdate = '2015-01-01'
SET #enddate = '2015-12-31'
--Build date ranges from remaining date list
;WITH dateRange(ID, dates, Grouping)
AS
(
SELECT dt1.id, dt1.Dates, dt1.Dates + row_number() over (order by dt1.id asc, dt1.Dates desc) AS Grouping
FROM
(
--Remove (A) from (B)
SELECT distinct dt.ID, tmp.Dates FROM DatesTable dt
CROSS APPLY
(
--GET (B) here
SELECT DATEADD(DAY, number, #startdate) [Dates]
FROM master..spt_values
WHERE type = 'P' AND DATEADD(DAY, number, #startdate) <= #enddate
) tmp
left join
(
--GET (A) here
SELECT DISTINCT T.Id,
D.Dates
FROM DatesTable AS T
INNER JOIN master..spt_values as N on N.number between 0 and datediff(day, T.DateStart, T.DateEnd)
CROSS APPLY (select dateadd(day, N.number, T.DateStart)) as D(Dates)
WHERE N.type ='P'
) dr
ON dr.Id = dt.Id and dr.Dates = tmp.Dates
WHERE dr.id is null
) dt1
)
SELECT ID, CAST(MIN(Dates) AS DATE) DateStart, CAST(MAX(Dates) AS DATE) DateEnd
FROM dateRange
GROUP BY ID, Grouping
ORDER BY ID
Heres the code:
http://sqlfiddle.com/#!3/f3615/1
I hope this helps!
I'm looking for an SQL query that would provide me a list of the Weeknumber and the Monday's date for that particular week.
For example:
WeekNumber DateMonday
39 2013-09-23
40 2013-09-30
... ...
The following justs produces one week
select
(DATEPART(ISO_WEEK,(CAST(getdate() as DATETIME)))) as WeekNumber,
DATEADD(wk, DATEDIFF(d, 0, CAST(getdate() as DATETIME)) / 7, 0) AS DateMonday
If you don't have a numbers table you can generate a list of sequential numbers on the fly using system tables:
e.g
SELECT Number = ROW_NUMBER() OVER(ORDER BY object_id)
FROM sys.all_objects;
If you need to extend this for more numbers you can CROSS JOIN tables:
SELECT Number = ROW_NUMBER() OVER(ORDER BY a.object_id)
FROM sys.all_objects a
CROSS JOIN sys.all_objects b;
Then you just need to add/subtract these number of weeks from your starting date:
DECLARE #Monday DATE = DATEADD(WEEK, DATEDIFF(WEEK, 0, GETDATE()), 0);
WITH Numbers AS
( SELECT Number = ROW_NUMBER() OVER(ORDER BY object_id)
FROM sys.all_objects
)
SELECT WeekNumber = DATEPART(ISO_WEEK, w.DateMonday),
w.DateMonday
FROM ( SELECT DateMonday = DATEADD(WEEK, - n.Number, #Monday)
FROM Numbers n
) w;
This is a verbose way of doing this for step by step clarity, it can be condensed to:
SELECT WeekNumber = DATEPART(ISO_WEEK, w.DateMonday),
w.DateMonday
FROM ( SELECT DateMonday = DATEADD(WEEK, DATEDIFF(WEEK, 0, GETDATE()) - ROW_NUMBER() OVER(ORDER BY object_id), 0)
FROM sys.all_objects
) w;
Example on SQL Fiddle
Aaron Bertrand has done some in depth comparisons ways of generating sequential lists of numbers:
Generate a set or sequence without loops – part
1
Generate a set or sequence without loops – part
2
Generate a set or sequence without loops – part
3
Of course the easiest way to do this would be to create a calendar table
I have following table.
DECLARE #TBL_RESULT Table
(
ID varchar(10),
CreateDate DateTime,
PEOPLE_CODE_ID varchar(10),
CONVERSION_DATE DateTime,
CAMPUS varchar(20),
DAYS_TOOK int
);
This table has records from January 01,2013 to date of all the leads that were received and converted.
I initially needed to find the Median time it took to convert leads that arrived in last 10 weeks and group them by Campus I was able to do that Using the SQL Query below
WITH CTE_RESULT
AS ( SELECT *
FROM #TBL_RESULT
WHERE CreateDate > DATEADD(WEEK, -10, GETDATE())
)
SELECT Campus ,
AVG(DAYS_TOOK) AS MedianTime
FROM ( SELECT CAMPUS ,
Days_Took ,
ROW_NUMBER() OVER ( PARTITION BY Campus ORDER BY Days_Took ASC ) AS AgeRank ,
COUNT(*) OVER ( PARTITION BY CAMPUS ) AS CampusCount
FROM CTE_RESULT
) x
WHERE x.AgeRank IN ( x.CampusCount / 2 + 1, ( x.CampusCount + 1 ) / 2 )
GROUP BY x.Campus
I now need to plot this trend on a graph i.e. find records the previous 10 weeks buckets and plot the median on a line chart - where each line is one campus. (Grouped by campus)
Is cursor my only option? where I will find the leads of first 10 week starting from Jan 01, do the above SQL query to get median, push it to a temp table and then find the next 10 weeks and so on.
Or is there anything better i can do?
Without trying to optimise your query, if you need to produce the same result across multiple 10-WEEK periods, you can expand your current (10 week ago to today) ranges to as many ranges as required, threading a PeriodEndDate throughout the query as shown below.
SQL Fiddle
MS SQL Server 2012 Schema Setup:
Query 1:
DECLARE #TBL_RESULT Table
(
ID varchar(10),
CreateDate DateTime,
PEOPLE_CODE_ID varchar(10),
CONVERSION_DATE DateTime,
CAMPUS varchar(20),
DAYS_TOOK int
);
-- fill the table with some dummy data from 2013-01-01
INSERT #TBL_RESULT (CreateDate, Campus, Days_Took)
SELECT DATEADD(D, A.Number, '20130101'), 'Campus' + Right(B.Number, 10),
ABS(CAST(NEWID() AS binary(6)) % 130) + 1
FROM master..spt_values A
JOIN master..spt_values B on B.type='P' and B.number < 50 -- 50 campuses
WHERE A.type='P'
AND DATEADD(D, A.Number, '20130101') <= GetDate();
-- This first CTE is used to create the required number of 10-week periods
WITH N(NUMBER) AS (
SELECT 0
union all
select number+1 from N
where Number <= DATEDIFF(WEEK, '20130101', GETDATE())
),
-- and from below here it's your query with the PeriodEndDate threaded through
CTE_RESULT AS (
SELECT DATEADD(WEEK, -Number, GETDATE()) PeriodEndDate,
T.*
FROM #TBL_RESULT T
CROSS JOIN N
-- you see the range built up dynamically here
WHERE CreateDate > DATEADD(WEEK, -Number-10, GETDATE())
AND CreateDate < DATEADD(WEEK, -Number, GETDATE()) +1
)
SELECT PeriodEndDate, Campus ,
AVG(DAYS_TOOK) AS MedianTime
FROM (
SELECT PeriodEndDate, CAMPUS ,
Days_Took ,
ROW_NUMBER() OVER ( PARTITION BY PeriodEndDate, Campus ORDER BY Days_Took ASC ) AS AgeRank ,
COUNT(*) OVER ( PARTITION BY PeriodEndDate, CAMPUS ) AS CampusCount
FROM CTE_RESULT
) x
WHERE x.AgeRank IN ( x.CampusCount / 2 + 1, ( x.CampusCount + 1 ) / 2 )
GROUP BY x.PeriodEndDate, x.Campus
ORDER BY x.PeriodEndDate, x.Campus;
It seems that you solved the hard part of the problem.
To get what you want, you need to introduce a grouping variable. In this case, I measure the number of weeks in the past and divide by 10 (SQL Server does integer division so this produces an integer).
You just then judiciously use this in the partition by and group by statements:
WITH CTE_RESULT AS (
SELECT t.*,
DATEDIFF(week, CreateDate, GETDATE()) / 10 as groupnum
FROM #TBL_RESULT t
)
SELECT Campus, groupnum, MIN(CreateDate), MAX(CreateDate),
AVG(DAYS_TOOK) AS MedianTime
FROM (SELECT t.*,
ROW_NUMBER() OVER (PARTITION BY groupnum, Campus ORDER BY Days_Took ASC ) AS AgeRank ,
COUNT(*) OVER (PARTITION BY groupnum, CAMPUS) AS CampusCount
FROM CTE_RESULT t
) x
WHERE x.AgeRank IN ( x.CampusCount / 2 + 1, ( x.CampusCount + 1 ) / 2 )
GROUP BY x.Campus, groupnum
I haven't tested this, so it might have a syntax error or two.