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handling time series data

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By reading this,
http://www.postgresql.org/message-id/7e41ba8f0908191624g4501b5f7mcbe29ad2c8139acc@xxxxxxxxxxxxxx,
I was wondering if anything has changed on the postgresql front.

I have a large timeseries (2TB worth of uncompressed data). I will be
doing some queries which change at times. Should I stick with my
current approach which is a series of csv files or would it be better
to load it into Postgresql and use its TOAST features (which will give
me some sort of compression)


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