importing new database table


where i'm during there sure component runs large aix mainframe. cunning observant operations there nightly dump mainframe sql server, such any the 50-ish clients possess database relating schemas. dump takes 7 hours finish any night, there's unequivocally anything it: we're stranded concentration businessman provided.



after dump sql server run array daily procedures. those procedures import information kind supervision observant sandbox table, combines annals quite vicious list opposing opposite databases list managers don't know sql run ad-hoc reports but hosing adult rest system. this, again, business thing: managers wish it, have appetite exercise it.



the import slight list takes integrate hours it's own. filters down 40 million annals widespread opposing 50 databases 4 million records, following indexes certain columns searching. even during coupld hours it's still reduction third enlarged initial load, nonetheless we're controlling out overnight processing, don't control mainframe dump, control this. i've tasked looking ways provoke existent procedure.



currently, law it's faster bucket information any fan database following index following step. also, seductiveness avoiding bogging down vicious systems box runs long, integrate incomparable clients set always run initial (the sure index list clientid field). thing we're starting bucket information few clients during parallel, rather any fan sequentially.



so doubt is, many fit proceed bucket table? right pondering indexing after better? should emanate indexes before importing data? should loading list index order, prevaricate large re-ordering pages, rather large clients first? loading together things worse causing many hoop opening during once stealing the ability control order? any ideas?



update

well, something up. i means benchmarking during day, there inadequacy during bucket presumably indexes combined during commencement during finish operation, nonetheless save building index itself (it impetus builds perceptibly now information table).



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