How can I identify groups of consecutive dates in SQL?

Question

Im trying to write a function which identifies groups of dates, and measures the size of the group.

I\'ve been doing this procedurally in Python until now but I\'d like

Answer 1

The following query account the weekends and holidays. The query has a provision to include the holidays on-the-fly, though for the purpose of making the query clearer, I just materialized the holidays to an actual table.

CREATE TABLE tx
    (n varchar(4), d date);

INSERT INTO tx
    (n, d)
VALUES
    ('Bill', '2006-12-29'), -- Friday    
    -- 2006-12-30 is Saturday
    -- 2006-12-31 is Sunday

    -- 2007-01-01 is New Year's Holiday    
    ('Bill', '2007-01-02'), -- Tuesday
    ('Bill', '2007-01-03'), -- Wednesday
    ('Bill', '2007-01-04'), -- Thursday
    ('Bill', '2007-01-05'), -- Friday    
    -- 2007-01-06 is Saturday
    -- 2007-01-07 is Sunday

    ('Bill', '2007-01-08'), -- Monday
    ('Bill', '2007-01-09'), -- Tuesday

    ('Bill', '2012-07-09'), -- Monday
    ('Bill', '2012-07-10'), -- Tuesday
    ('Bill', '2012-07-11'); -- Wednesday

create table holiday(d date);
insert into holiday(d) values
('2007-01-01');


/* query should return 7 consecutive good 
   attendance(from December 29 2006 to January 9 2007) */    
/* and 3 consecutive attendance from July 7 2012 to July 11 2012. */

Query:

with first_date as
(
    -- get the monday of the earliest date
    select dateadd( ww, datediff(ww,0,min(d)), 0 ) as first_date 
    from tx 
)
,shifted as
(
    select 
        tx.n, tx.d,                     
        diff = datediff(day, fd.first_date, tx.d) 
                   - (datediff(day, fd.first_date, tx.d)/7 * 2)             
    from tx
    cross join first_date fd
    union
    select 
        xxx.n, h.d,             
        diff = datediff(day, fd.first_date, h.d) 
                   - (datediff(day, fd.first_date, h.d)/7 * 2) 
    from holiday h 
    cross join first_date fd
    cross join (select distinct n from tx) as xxx
)
,grouped as
(
    select *, grp = diff - row_number() over(partition by n order by d)
    from shifted
)
select 
    d, n, dense_rank() over (partition by n order by grp) as nth_streak
    ,count(*) over (partition by n, grp) as streak
from grouped
where d not in (select d from holiday)  -- remove the holidays

Output:

|          D |    N | NTH_STREAK | STREAK |
-------------------------------------------
| 2006-12-29 | Bill |          1 |      7 |
| 2007-01-02 | Bill |          1 |      7 |
| 2007-01-03 | Bill |          1 |      7 |
| 2007-01-04 | Bill |          1 |      7 |
| 2007-01-05 | Bill |          1 |      7 |
| 2007-01-08 | Bill |          1 |      7 |
| 2007-01-09 | Bill |          1 |      7 |
| 2012-07-09 | Bill |          2 |      3 |
| 2012-07-10 | Bill |          2 |      3 |
| 2012-07-11 | Bill |          2 |      3 |

Live test: http://www.sqlfiddle.com/#!3/815c5/1

The main logic of the query is to shift all the dates two days back. This is done by dividing the date to 7 and multiplying it by two, then subtracting it from the original number. For example, if a given date falls on 15th, this will be computed as 15/7 * 2 == 4; then subtract 4 from the original number, 15 - 4 == 11. 15 will become the 11th day. Likewise the 8th day becomes the 6th day; 8 - (8/7 * 2) == 6.

                  Weekends are not in attendance(e.g. 6,7,13,14)
 1  2  3  4  5     6  7
 8  9 10 11 12    13 14
15

Applying the computation to all the weekday numbers will yield these values:

 1  2  3  4  5    
 6  7  8  9 10    
11

For holidays, you need to slot them on attendance, so to the consecutive-ness could be easily determined, then just remove them from the final query. The above attendance yields 11 consecutive good attendance.

Query logic's detailed explanation here: http://www.ienablemuch.com/2012/07/monitoring-perfect-attendance.html