From: | Merlin Moncure <mmoncure(at)gmail(dot)com> |
---|---|
To: | Craig Ringer <craig(at)postnewspapers(dot)com(dot)au> |
Cc: | Juan Pereira <juankarlos(dot)openggd(at)gmail(dot)com>, pgsql-general(at)postgresql(dot)org |
Subject: | Re: PostgreSQL versus MySQL for GPS Data |
Date: | 2009-03-17 13:18:37 |
Message-ID: | b42b73150903170618n1a97ba6hdfe5adb594f83183@mail.gmail.com |
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Lists: | pgsql-advocacy pgsql-general |
On Tue, Mar 17, 2009 at 7:47 AM, Craig Ringer
<craig(at)postnewspapers(dot)com(dot)au> wrote:
> Juan Pereira wrote:
>
>
>> - The database also should create a table for every truck -around 100
>> trucks-.
>
> Why?
>
> That's a rather clumsy design that makes it really hard to get aggregate
> data across the fleet or do many interesting queries.
>
> You're almost always better off using a single table with a composite
> primary key like (truckid, datapointid) or whatever. If you'll be doing
> lots of queries that focus on individual vehicles and expect performance
> issues then you could partition the table by truckid, so you actually do
> land up with one table per truck, but transparently accessible via table
> inheritance so you can still query them all together.
>
> Read up on PostgreSQL's table partitioning features.
If there is little/no reason to span queries over various trucks, then
the OP's approach is ok, better than standard TP even. I agree though
that a single table approach is best unless 1) the table has to scale
to really, really large sizes or 2) there is a lot of churn on the
data (lots of bulk inserts and deletes).
merlin
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