A agree with you, Cal. Migrate to another DB engine could not solve the
problem.
I just mentioned that, cause there another good opportunities. But it
doesn't mean that will be easy and cheap.
Ivo Marcelo Leonardi Zaniolo
+55 71 9302 3400
imarcel...@gmail.com
www.informatizzare.com.br
Just to chime in again here, there are many alternatives, but don't give up
on MySQL straight away.
Solutions such as Cassandra, MongoDB, Hadoop clustering etc are also
lovely, but they all come at a cost (whether that be additional risk,
development time, performance/feature trade offs, the
Some years ago I got a similar problem using postgresql. To.improve the
bulk performance I chose to disable all keys and indexes after bulk the
data.
On postgres it solved my problem, but if you need more performance, and
have more than one computer, I recommend that you take a look at Cassandra,
Hi Anton,
In short, attempting to do any sort of bulk import "out of the box" with
the ORM, will always end with bad performance.
No matter how fast your disks are (SSDs with 4000 iops in RAID 1 for
example), you'll still only get around 0.1s per insert via the ORM on a
single thread, and if you
Hello Anton,
On Friday, August 3, 2012 9:05:47 AM UTC-7, Anton wrote:
> My Problem: I will populate it with 5 items.
>
> Has Django really such a bad performance for data insertion?
>
> I can't believe it, so ... can somebody give me a hint?
> Is there a doc page dedicated to
If you plan to create a batch of objects, I wouldn't recommend going that
route. Instead, check this out:
https://docs.djangoproject.com/en/dev/howto/initial-data/
Has Django really such a bad performance for data insertion?
The Object Relational Mapper does quite a bit more than simply write
Hi I am new to Django.
I worked through the tutorial.
I created a small test app on:
- Win7 64bit
- python 2.7.3 (32bit)
- Django 1.4.1
- using the development server
Now I wanted to populate the (sqlite backend) database
with a python script.
My Problem:
I Insert 3 Object (like
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