tsql - Rolling sum per time interval per group -


table, data , task follows. see sql-fiddle-link demo-data , estimated results.

create table "data"  (   "item" int   , "timestamp" date   , "balance" float   , "rollingsum" float )  insert "data" ( "item", "timestamp", "balance", "rollingsum" ) values   ( 1, '2014-02-10', -10, -10 ) , ( 1, '2014-02-15',   5,  -5 ) , ( 1, '2014-02-20',   2,  -3 ) , ( 1, '2014-02-25',  13,  10 )  , ( 2, '2014-02-13',  15,  15 ) , ( 2, '2014-02-16',  15,  30 ) , ( 2, '2014-03-01',  15,  45 )

i need rows in defined time interval. above table doesn't hold record per item each possible date - dates on changes applied recorded ( is possible there n rows per timestamp per item ) if given interval not fit on stored timestamps, latest timestamp before startdate ( nearest smallest neighbour ) should used start-balance/rolling-sum.

estimated results ( time interval: startdate = '2014-02-13', enddate = '2014-02-20' )  "item", "timestamp"  , "balance", "rollingsum"  1    , '2014-02-13' , -10      , -10  1    , '2014-02-15' ,   5      ,  -5  1    , '2014-02-20' ,   2      ,  -3  2    , '2014-02-13' ,  15      ,  15  2    , '2014-02-16' ,  15      ,  30

i checked questions this , googled lot, didn't found solution yet.

i don't think it's idea extend "data" table 1 row per missing date per item, complete interval ( smallest date <-----> latest date per item may expand on several years ).

thanks in advance!

select sum(balance)   table   timestamp >= (select max(timestamp) table timestamp <= 'startdate')   , timestamp <= 'enddate'

don't know mean rolling-sum.


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