I have the following two tables:
- DimensionTime is a table that contains every month, ordered by ID, in a YYYMM00 form
- LogPlayer is a table where there are some statistics related to a player and a specific month.
What I'd like to get is the following:
+--------+--------+----------+----------+
| Player | Team | Start | End |
+--------+--------+----------+----------+
| John | Red | 20180100 | 20180300 |
| John | Red | 20180600 | 20180700 |
| Luke | Yellow | 20180100 | 20180100 |
| Luke | Yellow | 20190100 | 20190100 |
+--------+--------+----------+----------+
I can't use MIN and MAX functions because the periods are discontinuous...how can I resolve?
I have tryied with MIN/MAX combined with GROUP BY but I get nothing useful. I dind't find any question or answer here on Stackoverflow.
SELECT *
INTO #DimensionTime
FROM (
SELECT 1 AS [ID], 20180100 AS [TIMEID]
UNION ALL
SELECT 2 AS [ID], 20180200 AS [TIMEID]
UNION ALL
SELECT 3 AS [ID], 20180300 AS [TIMEID]
UNION ALL
SELECT 4 AS [ID], 20180400 AS [TIMEID]
UNION ALL
SELECT 5 AS [ID], 20180500 AS [TIMEID]
UNION ALL
SELECT 6 AS [ID], 20180600 AS [TIMEID]
UNION ALL
SELECT 7 AS [ID], 20180700 AS [TIMEID]
UNION ALL
SELECT 8 AS [ID], 20180800 AS [TIMEID]
UNION ALL
SELECT 9 AS [ID], 20180900 AS [TIMEID]
UNION ALL
SELECT 10 AS [ID], 20181000 AS [TIMEID]
UNION ALL
SELECT 11 AS [ID], 20181100 AS [TIMEID]
UNION ALL
SELECT 12 AS [ID], 20181200 AS [TIMEID]
UNION ALL
SELECT 13 AS [ID], 20190100 AS [TIMEID]
UNION ALL
SELECT 14 AS [ID], 20190200 AS [TIMEID]
UNION ALL
SELECT 15 AS [ID], 20190300 AS [TIMEID]
) A
SELECT *
INTO #LogPlayer
FROM (
SELECT 'John' AS [Player], 'Red' AS [Team], 20180100 AS [TIMEID]
UNION ALL
SELECT 'John' AS [Player], 'Red' AS [Team], 20180200 AS [TIMEID]
UNION ALL
SELECT 'John' AS [Player], 'Red' AS [Team], 20180300 AS [TIMEID]
UNION ALL
SELECT 'John' AS [Player], 'Red' AS [Team], 20180600 AS [TIMEID]
UNION ALL
SELECT 'John' AS [Player], 'Red' AS [Team], 20180700 AS [TIMEID]
UNION ALL
SELECT 'Luke' AS [Player], 'Yellow' AS [Team], 20180100 AS [TIMEID]
UNION ALL
SELECT 'Luke' AS [Player], 'Yellow' AS [Team], 20190100 AS [TIMEID]
) B
This is a type of gaps-and-islands problem. It is solvable even in non-supported ancient software like SQL Server 2005, because that version has row_number().
One trick is converting the time id to a bona fide date/time. The other trick is to define the groups by subtracting a sequential number of months from the date/time value:
select player, team, min(timeid), max(timeid)
from (select lp.*,
row_number() over (partition by player, team order by timeid) as seqnum,
cast(cast(timeid + 1 as varchar(255)) as datetime) as yyyymm
from logplayer lp
) lp
group by player, team, dateadd(month, - seqnum, yyyymm)
order by player, team, min(timeid);
Here is a db<>fiddle.
you could do this sort of thing to find the begining and end of runs of dates.
Convert to 'date' via a CTE (which I think exists in 2005)
then use Cross Apply an EXIST to find the start and end of a run of dates
you give no data for player and team, but you could add to the WHERE conditions in EXISTS , then GROUP BY - if needed
;WITH dats as (SELECT CAST(LEFT(timeid, 6) + '01' as datetime) as DT from #DimensionTime)
select CONVERT(varchar(7),d1.DT,112) +'0' as strt,
CONVERT(varchar(7),dq.dt,112) +'0' as [end] from dats d1
CROSS APPLY
(SELECT TOP 1 d3.dt from dats d3 where
d3.dt > d1.dt
and
not exists(
select 0 from dats d4 where d4.DT = dateadd(month,1,d3.DT)
)
ORDER BY d3.dt asc) DQ
where not exists(select 0 from dats d2 where d2.DT = dateadd(month,-1,d1.DT)) ;
taking a guess as to some sample data, I tried
SELECT *
INTO #DimensionTime
FROM (
SELECT 1 AS [ID], 20180100 AS [TIMEID], 'john' as player, 'red' as team
UNION ALL
SELECT 2 AS [ID], 20180200 AS [TIMEID], 'john','red'
UNION ALL
SELECT 3 AS [ID], 20180300 AS [TIMEID], 'john','red'
UNION ALL
SELECT 4 AS [ID], 20180400 AS [TIMEID], 'john','red'
UNION ALL
SELECT 5 AS [ID], 20180500 AS [TIMEID], 'john','red'
UNION ALL
SELECT 7 AS [ID], 20180700 AS [TIMEID], 'john','red'
UNION ALL
SELECT 8 AS [ID], 20180800 AS [TIMEID], 'john','red'
UNION ALL
SELECT 9 AS [ID], 20180900 AS [TIMEID], 'john','red'
UNION ALL
SELECT 11 AS [ID], 20181100 AS [TIMEID], 'john','red'
UNION ALL
SELECT 12 AS [ID], 20181200 AS [TIMEID], 'john','red'
UNION ALL
SELECT 13 AS [ID], 20190100 AS [TIMEID], 'john','red'
UNION ALL
SELECT 14 AS [ID], 20190200 AS [TIMEID], 'john','red'
UNION ALL
SELECT 15 AS [ID], 20190300 AS [TIMEID], 'john','red'
UNION ALL
SELECT 1 AS [ID], 20180100 AS [TIMEID], 'luke','yellow'
UNION ALL
SELECT 2 AS [ID], 20180200 AS [TIMEID], 'luke','yellow'
UNION ALL
SELECT 4 AS [ID], 20180400 AS [TIMEID], 'luke','yellow'
UNION ALL
SELECT 5 AS [ID], 20180500 AS [TIMEID], 'luke','yellow'
UNION ALL
SELECT 8 AS [ID], 20180800 AS [TIMEID], 'luke','yellow'
UNION ALL
SELECT 9 AS [ID], 20180900 AS [TIMEID], 'luke','yellow'
UNION ALL
SELECT 12 AS [ID], 20181200 AS [TIMEID], 'luke','yellow'
UNION ALL
SELECT 13 AS [ID], 20190100 AS [TIMEID], 'luke','yellow'
UNION ALL
SELECT 14 AS [ID], 20190200 AS [TIMEID], 'luke','yellow'
UNION ALL
SELECT 15 AS [ID], 20190300 AS [TIMEID], 'luke','yellow'
) A
;WITH dats as (SELECT CAST(LEFT(timeid, 6) + '01' as datetime) as DT,player,team from #DimensionTime)
select d1.team,d1.player,
CONVERT(varchar(7),d1.DT,112) +'0' as strt,
CONVERT(varchar(7),dq.dt,112) +'0' as [end] from dats d1
CROSS APPLY
(SELECT TOP 1 d3.dt from dats d3 where
d3.dt > d1.dt
and
d3.player = d1.player
and
d3.team = d1.team
and
not exists(
select 0 from dats d4 where d4.DT = dateadd(month,1,d3.Dt)
and d4.team = d3.team
and d4.player = d3.player
)
ORDER BY d3.dt asc) DQ
where not exists(select 0 from dats d2 where
d2.player=d1.player
and
d2.team = d1.team
and
d2.DT = dateadd(month,-1,d1.DT) and d1.team=d2.team and d1.player = d2.player ) ;
drop table #DimensionTime;
with the latest tables that sorry I missed, I devised
;WITH dats as (SELECT CAST(LEFT(timeid, 6) + '01' as datetime) as DT,player,team from #LogPlayer)
select d1.team,d1.player,
CONVERT(varchar(7),d1.DT,112) +'0' as strt,
CONVERT(varchar(7),dq.dt,112) +'0' as [end] from dats d1
CROSS APPLY
(SELECT TOP 1 d3.dt from dats d3 where
d3.dt > d1.dt
and
d3.player = d1.player
and
d3.team = d1.team
and
not exists(
select 0 from dats d4 where d4.DT = dateadd(month,1,d3.Dt)
and d4.team = d3.team
and d4.player = d3.player
)
ORDER BY d3.dt asc) DQ
where not exists(select 0 from dats d2 where
d2.player=d1.player
and
d2.team = d1.team
and
d2.DT = dateadd(month,-1,d1.DT) and d1.team=d2.team and d1.player = d2.player ) ;
