Re: Ideas about presenting data coming from sensors - Mailing list pgsql-general
From | Achilleas Mantzios - cloud |
---|---|
Subject | Re: Ideas about presenting data coming from sensors |
Date | |
Msg-id | 67f791a3-4d49-425d-87b3-d6a0dbcda621@cloud.gatewaynet.com Whole thread Raw |
In response to | Re: Ideas about presenting data coming from sensors (Achilleas Mantzios - cloud <a.mantzios@cloud.gatewaynet.com>) |
List | pgsql-general |
On 2/27/25 09:05, Achilleas Mantzios - cloud wrote: > > On 2/26/25 18:29, Adrian Klaver wrote: >> On 2/26/25 01:27, Achilleas Mantzios - cloud wrote: >>> Hi Again >>> >>> Up to this day we have set the data acquisition system running for >>> just one ship and writing the code to display the data. For less >>> than 20 days we have 6M rows. >>> >>> I gave a shot to timescale, installed locally as an extension, it >>> seems much prettier than having to do all the partition mgmt by hand >>> or other tools. However this seems more than a complete engine with >>> its own workers, so this seems like something new and big which >>> seems to me like something to commit to for a long time, something >>> to invest, on top of the already 25+ commitment we have with >>> PostgreSQL itself. >>> >>> So this is serious decision, so ppl please share your stories with >>> timescale . >>> >> >> I don't use timescale, so this will not be about specifics. It seems >> to me you are well on the way to answering your own question with the >> choices you presented: >> >> a) '... it seems much prettier than having to do all the partition >> mgmt by hand or other tools.' >> >> b) 'However this seems more than a complete engine with its own >> workers, ...' >> >> Either you do the work to build your own solution or you leverage off >> other folks work. The final answer to that comes down to what fits >> your situation. Which solution is easier to implement with the >> resources you have available. Either one is going to end up being a >> long term commitment. > > Thank you Adrian for all your companion and contribution in this thread! > > In haste I made some typos and maybe I was not well understood by > potential readers. I mean we are a traditional PostgreSQL house for 25 > years. I started this DB from scratch, and now the whole topology of > postgresql servers (soon 200 in all 7 seas) has about than 60TB worth > of data. Since day one, I have been compiling from source, the base > postgres, the contrib, my own written functions, extra extensions. We > have never relied on a commercial offering, official package, or > docker image you name it. So now, it is the first time that I come > across a situation where the package / extension in question is big, > has somehow different doc style than the core postgres, I still cannot > navigate myself into it, plus the concern: I know PostgreSQL will be > here well after I retire, how about timescale? If they go out of > business or no longer support newer postgresql versions, what do we > do? Freeze the system for weeks, and move 100TB of data ? Employ some > logical replication from timescale to native postgres somehow > utilizing this new table "routing" rules that are available or will be > available by the time? Hire some known PostgreSQL support company to > do the job? Write my own data migration solution? > > That's why I am asking for user experiences on timescale. Or Tempo pg-timeseries . Or any other alternatives. All those companies were at Pgconf2024.eu , unfortunately at the time, this project was still inactive , I wish I had contacted them all. > >> >> > >
pgsql-general by date: