Re: Confronting the maximum column limitation
От | Steve Atkins |
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Тема | Re: Confronting the maximum column limitation |
Дата | |
Msg-id | 2795446C-45AC-4750-ACB3-20777D64F38D@blighty.com обсуждение исходный текст |
Ответ на | Confronting the maximum column limitation (Jeff Gentry <jgentry@jimmy.harvard.edu>) |
Ответы |
Re: Confronting the maximum column limitation
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Список | pgsql-general |
On Aug 12, 2008, at 1:15 PM, Jeff Gentry wrote: > Hi there ... > > I recently discovered that there is a hard cap on the # of columns, > being > at 1600. I also understand that it is generally unfathomable that > anyone > would ever feel limited by that number ... however I've managed to > bump > into it myself and was looking to see if anyone had advice on how to > manage the situation. > > As a bit of background, we have a Postgres database to manage > information > revolving around genomic datasets, including the dataset itself. The > actual data is treated in other applications as a matrix, and while > it has > caused the DB design to be sub-optimal the model worked to just > stash the > entire matrix in the DB (the rest of the DB design is proper, but the > storage of these matrices straight up is unorthodox ... for the > convenience of having everything in the same storage unit with all > of the > other information, it has been worth the extra headache and potential > performance dings). What operations do you perform on the data? If it's just store and retrieve, can you serialize them into a bytea (or xml) field? Cheers, Steve
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