Could you please explain ?
Because I don't think it is possible to do it that way.
For example i have the following in my models.py:
class City(models.Model):
name = models.CharField(max_length=40,db_index=True)
state_name = models.CharField(max_length=30)
location = models.PointField(null=True)
objects = models.GeoManager()
And i do the following query:
City.objects.filter(location__distance_lt=(**some_location**,
D(km=30))).distance(**some_location**).order_by('distance')[:15]
How do convert this query result to WKT ?
On Monday, December 1, 2014 10:36:13 PM UTC+2, george wrote:
>
> You can convert your spatial results to WKT and store them in redis.
>
> On Mon, Dec 1, 2014 at 2:45 PM, termopro <term...@gmail.com <javascript:>>
> wrote:
>
>> I am creating a website using Django 1.7 and GeoDjango. I've hit the
>> point when i need to optimize website speed.
>>
>> One of the bottlenecks is query execution. There are some queries which
>> run slowly even when optimized. So i'd like to cache query results and
>> store them in Redis.
>>
>> The problem that i am getting is that i cannot cache some query results.
>> Particularly the ones containing geometry types and distance calculations.
>> I hit "TypeError: can't pickle Binary objects" error.
>>
>> What is the recommended/right way of caching Django/GeoDjango QuerySets ?
>>
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>
>
>
> --
> George R. C. Silva
> SIGMA Consultoria
> ----------------------------
> http://www.consultoriasigma.com.br/
>
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