| From: | Josh berkus <josh(at)agliodbs(dot)com> |
|---|---|
| To: | Keith Brown <keith6014(at)gmail(dot)com>, pgsql-general(at)postgresql(dot)org |
| Subject: | Re: handling time series data |
| Date: | 2016-02-03 00:16:38 |
| Message-ID: | 56B146E6.6060502@agliodbs.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)
>
>
Take a look at cstore_fdw, it might be the best solution for you.
--
--
Josh Berkus
Red Hat OSAS
(any opinions are my own)
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