first of all, these are my first steps with Django, and i only have
limited experience with Python, so please be patient.
I'm using it for what is intended to be a browser game in the future.
The main part of the game is a zoom view on a two-dimensional map of
fields.
I'm currently using Django 1.2.3 with Python 2.6 on Windows XP.
I'm using Python-provided SQLite and Django's local debug HTTP server
during development ('python manage.py runserver').
It works pretty well, but i notice that it takes several seconds to
update the map screen, which i consider unacceptable given the fact
that it runs locally.
I'm wondering where the performance bottleneck lies here.
Is it...
- SQLLite? (I.e. would switching to say PostgreSQL speed things up
considerably?)
- Djangos debug web server? (I.e. would switching to apache speed
things up considerably?)
- or the way my application is designed??
Since the latter is a very probable answer, here is the way it works
in a nutshell:
The model is something like:
--------------------
class Terrain(models.Model):
image_file = models.CharField(max_length=80)
class Location(models.Model):
x = models.IntegerField()
y = models.IntegerField()
terrain = models.ForeignKey(Terrain)
The heart of the view goes like this:
--------------------
center_location = Location.objects.get(id=location_id)
## how many fields on the map view in each direction
half_x = 6
half_y = 6
locations = Location.objects.filter( \
x__gte=center_location.x-half_x, \
x__lte=center_location.x+half_x, \
y__gte=center_location.y-half_y, \
y__lte=center_location.y+half_y)
locs = []
for l in locations:
loc_info = {'id': l.id, \
'x': l.x - center_location.x + half_x, \
'y': l.y - center_location.y + half_y, \
'img': l.terrain.image_file}
locs.append(loc_info)
c = Context({
'locs': locs,
})
return HttpResponse(t.render(c))
And the main part of the template renders these items:
--------------------
{% for l in locs %}
<div id="x{{l.x}}y{{l.y}}" class="tile"><a href="/map/{{l.id}}/"><img
src="/images/{{l.img}}" /></a></div>
{% endfor %}
Do you see any issues with this approach? Any paths to performance
improvements?
Since i'm at the beginning of this project i would like to avoid going
the wrong way.
best regards,
Lars
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