Juan,
* Juan Pereira (juankarlos.openggd@gmail.com) wrote:
> - The schema for this kind of data consists of several arguments -latitude,
> longitude, time, speed. etc-, none of them is a text field.
I would think you might want *some* text fields, for vehicle
identification, as a seperate table about trucks.
> - The database also should create a table for every truck -around 100
> trucks-.
As mentioned elsewhere, you're probably fine with 1 table, but if it
becomes a problem you can always partition it up and have one view
across all of them (make sure to set up your constraints correctly and
enable constraint_exclusion if you go with this route). You could then
have, say, 10 tables, with 10 trucks in each.
> - There won't be more than 86400 * 365 rows per table -one GPS position
> every second along one year-.
As mentioned, you might want to eliminate duplicate entries; no sense
storing information that can be trivially derived.
> - There won't be more than 10 simultaneously read-only queries.
While this is good to know, I kind of doubt it's accurate, and more
important is the number of simultaneous writers. I'm assuming 100, but
is that correct?
> The question is: Which DBMS do you think is the best for this kind of
> application? PostgreSQL or MySQL?
Given the list you posted to, I would say you're likely to get alot of
PostgreSQL recommendations. Assuming you posted something similar to a
MySQL list, I would recommend that you not pick a solution based on the
number of responses you get but rather what you're most comfortable with
and understand best. If there is a learning curve either way, I think
PostgreSQL would be the best solution. If you're thinking about what to
have your application support, you might consider trying to support
both. Doing that from the beginning is usually best since you'll
develop your system at a high enough level to mitigate the problems
(syntax differences, performance differences, etc) between the
databases.
As an aside, and I don't know where the MySQL community is on this, but
we have the US Census TIGER Shapefile data set loaded into PostgreSQL
with PostGIS, with a geocoder that works with it. We should have a
complete packaged solution for loading it, indexing, etc, soon. That's
a fairly large, free, data set of all streets, addresses, etc, in the
US with lat/long information.
Thanks,
Stephen