From: | Adrian Klaver <adrian(dot)klaver(at)aklaver(dot)com> |
---|---|
To: | Keith Brown <keith6014(at)gmail(dot)com>, pgsql-general(at)postgresql(dot)org |
Subject: | Re: handling time series data |
Date: | 2016-02-02 23:11:21 |
Message-ID: | 56B13799.4020406@aklaver.com |
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Lists: | pgsql-general |
On 02/02/2016 03:04 PM, Keith Brown wrote:
> By reading this,
> http://www.postgresql.org/message-id/7e41ba8f0908191624g4501b5f7mcbe29ad2c8139acc@mail.gmail.com,
> 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)
TOAST does not cover all data types, so you might not get the
compression you think:
http://www.postgresql.org/docs/9.5/static/storage-toast.html
>
>
--
Adrian Klaver
adrian(dot)klaver(at)aklaver(dot)com
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