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HankinaterFlag for United States of America

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T-SQL finding second tuesday of every month for next 60 months

I need a T-SQL query that will be calculate the 2nd tuesday of each month for the next 60 months.

I found Kevin Cross's artilce Date of the n-th Day in a Month and was able to alter the following script to give me the 2nd Tuesday of the particular month.  But how how can I alter the script to get all 2nd Tuesdays for the next 60 months?

declare @yr int, @mo tinyint
set @yr = 2014
set @mo = 6
;
with dates( dt )
as
(
   -- select 1st day of month constructed from year and month inputs
   select convert( datetime, 
            convert( char(8), 
               @yr * 10000 + @mo * 100 + 1 
            ) 
         ) 

   union all -- facilitates recursion

   -- add in remainder of days in month
   select dt + 1
   from dates
   -- keeps adding until the next day would be 1st of next month
   where day( dt + 1 ) <> 1 
)
, dates_tagged( dt, dw, occurrence, occurrence_reverse )
as
(
   select dt, datepart( weekday, dt )
        , row_number() 
             over( partition by datepart( weekday, dt ) 
                   order by dt )
        , row_number() 
             over( partition by datepart( weekday, dt ) 
                   order by dt desc )
   from dates
)
select dt, dw, occurrence, occurrence_reverse
from dates_tagged
where dw = 3 and occurrence = 2  --I added this
; 

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Any help is appreciated!

Hank
Avatar of Guy Hengel [angelIII / a3]
Guy Hengel [angelIII / a3]
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I think I would put the above inside a function, and apply the function for the list of years/month number as needed...

but you can put the "recursion" stop condition also
declare @startdate datetime
set @startdate = convert(datetime, convert(varchar(8), getdate(), 120) + '01', 120)
;
with dates( dt )
as
(
   -- select 1st day of month constructed from year and month inputs
   select @startdate 

   union all -- facilitates recursion

   -- add in remainder of days in month
   select dt + 1
   from dates
   -- keeps adding until the next day would in 60 months
   where dt <= dateadd( month, 60, @startdate )
)
, dates_tagged( dt, dw, dm, occurrence)
as
(
   select dt, datepart( weekday, dt ),  datepart( month, dt )
        , row_number() 
             over( partition by datepart( month, dt ), datepart( weekday, dt ) 
                   order by dt )
   from dates
)
select dt, dw, occurrence
from dates_tagged
where dw = 3  and occurrence = 2  --I added this
order by dt
option (maxrecursion 10000)
; 

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ASKER CERTIFIED SOLUTION
Avatar of Scott Pletcher
Scott Pletcher
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Thanks Scott - That's perfect!!
not sure why my suggestion is "yikes!", as it's running sub-second, which is just fine for a "one-shot" stuff ... and even for daily operations ...
Seriously?  Almost 11,000 logical I/Os vs 0 I/Os and you think there's no real difference?


declare @startdate datetime
set @startdate = convert(datetime, convert(varchar(8), getdate(), 120) + '01', 120);

DECLARE @starting_date datetime
DECLARE @number_of_months_to_gen int

SET @starting_date = '20140601' --<-- chg starting date as needed
SET @number_of_months_to_gen = 60 --<-- chg number of months as needed


set statistics io on
set statistics time on


with dates( dt )
as
(
   -- select 1st day of month constructed from year and month inputs
   select @startdate

   union all -- facilitates recursion

   -- add in remainder of days in month
   select dt + 1
   from dates
   -- keeps adding until the next day would in 60 months
   where dt <= dateadd( month, 60, @startdate )
)
, dates_tagged( dt, dw, dm, occurrence)
as
(
   select dt, datepart( weekday, dt ),  datepart( month, dt )
        , row_number()
             over( partition by datepart( month, dt ), datepart( weekday, dt )
                   order by dt )
   from dates
)
select dt, dw, occurrence
from dates_tagged
where dw = 3  and occurrence = 2  --I added this
order by dt
option (maxrecursion 10000)
;

----------------------------------------------------------------------------------------------------

--force day of @starting_date to be the first
SET @starting_date = DATEADD(MONTH, DATEDIFF(MONTH, 0, @starting_date), 0)

;WITH
cteDigits AS (
    SELECT 0 AS digit 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
),
cteMonthNumbers AS (
    --generated month numbers are 0-based, thus 0 thru (#months_needed - 1), so 40 months = monthNumbers 0 thru 39
    SELECT [100s].digit * 100 + [10s].digit * 10 + [1s].digit AS monthNumber
    FROM cteDigits [1s]
    CROSS JOIN cteDigits [10s]
    CROSS JOIN cteDigits [100s]
    WHERE
        [100s].digit * 100 + [10s].digit * 10 + [1s].digit <= (@number_of_months_to_gen - 1)
)
SELECT
    DATEADD(DAY, DATEDIFF(DAY, 1, day_7_of_month) / 7 * 7 + 7, 1) AS second_tues_of_month
FROM cteMonthNumbers
CROSS APPLY (
    SELECT DATEADD(DAY, 6, DATEADD(MONTH, monthNumber, @starting_date)) AS day_7_of_month
) AS cross_apply_1
ORDER BY
    second_tues_of_month
Or add either of these statements to the top:

set language [British English]
set datefirst 1

and check the results.
Well, I agree that setting datefirst or language will change, but that can be "fixed" by replacing the
where dw = 3
accordingly.

for the "performance" part, I repeat that for my version, which runs sub-second, and presumably for a one-shot (or once per day), my efforts to "tune" something will go somewhere else but not on this one.

if this code is really a performance killer on my db instance, for example because the query is used all the time, I will put that data into a table (and I have my calendar table ready ANYHOW), so we won't discuss that "code" anyhow.

I understand that there are differences, but simply not worth "optimizing" for this small set of data.
Actually I had written my comment just based on the initial q, I had not even seen your code yet.  Although "Yikes!" certainly applies to both.

Frankly, I don't even consider this "optimizing", rather simply writing decent code to begin with.  Generating thousands of rows' worth of data and searching through them to get 60 needed values is just extremely poor coding.

As to overall overhead, this is just a tiny code snippet.  Hundreds or thousands of such snippets could appear in procs, and with each snippet getting executed multiple times a day.  Thus, allowing such poor coding will easily waste multiple millions of I/Os per day.

Finally, why encourage people to write such horribly inefficient code to begin with?  Code like this tends to be copied and used over and over, as witnessed by it being copied here initially.  Good coders should have a basic, minimal standard of coding, not lazily using known poor techniques because "it will only run once a day".

I mean, even the most basic date construction in the code:
select convert( datetime,
            convert( char(8),
               @yr * 10000 + @mo * 100 + 1
            )
         )
 is very poor coding technique.