| From: | amihay gonen <agonenil(at)gmail(dot)com> |
|---|---|
| To: | Дмитрий Иванов <firstdismay(at)gmail(dot)com> |
| Cc: | "David G(dot) Johnston" <david(dot)g(dot)johnston(at)gmail(dot)com>, David Gauthier <davegauthierpg(at)gmail(dot)com>, Postgres General <pgsql-general(at)postgresql(dot)org> |
| Subject: | Re: storing zipped SQLite inside PG ? |
| Date: | 2021-12-26 12:43:23 |
| Message-ID: | CAKb+SBUFG21a1Jm3L=pXG8JxAC+hUcyJRjR23vg2efkf2sk9tw@mail.gmail.com |
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| Thread: | |
| Lists: | pgsql-general |
Is sqlite is a constraint?
From big data presctive is better to find a more natural format like
parquet or even json. For example what if you've different sqlite version
בתאריך יום ה׳, 23 בדצמ׳ 2021, 17:02, מאת Дмитрий Иванов <
firstdismay(at)gmail(dot)com>:
> Or, if you want to extend this theme, you can use a PostgreSQL-based
> "SQLite file player" with
> PostgreSQL + Python[sqlite3] extension.This way you can provide direct
> access to SQLite files without duplicating data in PostgreSQL cluster
> tables.
> PS: It may seem that this will reduce performance. When I started my
> project, I had some preconceptions about Python. But analyzing projects
> like Patroni changed my mind.
> --
> Regards, Dmitry!
>
>
> ср, 22 дек. 2021 г. в 10:24, David G. Johnston <david(dot)g(dot)johnston(at)gmail(dot)com
> >:
>
>> On Tue, Dec 21, 2021 at 10:06 PM David Gauthier <davegauthierpg(at)gmail(dot)com>
>> wrote:
>>
>>> I'll have to read more about sqlite_fdw. Thanks for that Steve !
>>>
>>> Each SQLite isn't that big (billions of records), more like 30K records
>>> or so. But there are lots and lots of these SQLite DBs which add up over
>>> time to perhaps billions of records.
>>>
>>> This is for a big corp with an IT dept. Maybe I can get them to upgrade
>>> the DB itself.
>>> Thank You too David !
>>>
>>>>
>>>>
>> So, more similar to the image storage question than I first thought, but
>> still large enough where the specific usage patterns and needs end up being
>> the deciding factor (keeping in mind you can pick multiple solutions - so
>> that really old data, ideally on a partition, can be removed from the DB
>> while still remaining accessible if just more slowly or laboriously).
>>
>> One possibility to consider - ditch the SQLite dependency and just store
>> CSV (but maybe with a funky delimiter sequence). You can then us
>> "string_to_table(...)" on that delimiter to materialize a table out of the
>> data right in a query.
>>
>> David J.
>>
>>
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