From: | Agustin Larreinegabe <alarreine(at)gmail(dot)com> |
---|---|
To: | Dave Potts <dave(dot)potts(at)pinan(dot)co(dot)uk> |
Cc: | PostgreSQL mailing lists <pgsql-general(at)postgresql(dot)org> |
Subject: | Re: Partitioning V schema |
Date: | 2013-09-19 12:40:16 |
Message-ID: | CALQFU69pe-KgsVLB5UQ_t5-fBhW3HeodjWqETQSA06bPfQuX2Q@mail.gmail.com |
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Lists: | pgsql-general |
If I were you I will use partitioning. In my experience, partitioning is
easier and transparent. I just have to set it up and then refers just to
one table and done.
About speed, if you have the value "constraint_exclusion" = partition,
postgres will examine constraints only for inheritance child tables and
UNION ALL subqueries and will improve the perfomance of your query
http://www.postgresql.org/docs/9.2/static/ddl-partitioning.html
http://www.postgresql.org/docs/9.2/static/runtime-config-query.html
On Thu, Sep 19, 2013 at 3:02 AM, Dave Potts <dave(dot)potts(at)pinan(dot)co(dot)uk> wrote:
> Hi List
>
> I am looking for some general advice about the best was of splitting a
> large data table,I have 2 different choices, partitioning or different
> schemas.
>
> The data table refers to the number of houses that can be include in a
> city, as such there are large number of records.
>
>
> I am wondering if decided to partition the table if the update
> speed/access might be faster that just declaring a different schema per
> city.
>
> Under the partition the data table would appear to be smaller, so I should
> get an increase in speed, but the database still have to do some sort of
> indexing.
>
> If I used different schemas, it resolves data protection issues, but doing
> a backup might become a nightmare
>
> In general which is the fast access method?
>
> regards
>
>
> Dave.
>
>
>
>
>
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--
Gracias
-----------------
Agustín Larreinegabe
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