I'm working on a project that needs to occasionally render very large
tables -- I'm picking hundreds of thousands of cells as a test point for
trying out back end implementation scalability.
I'm parallelizing some of the rendering through ajax calls that returns
large subsets of the rendered cells ("<td class='foo'>content</td>") within
a JSON structure. I'm using a short template to render each cell:
<td class="score">
{{ datapoint.score }}
</td>
template = get_template('cell.djhtml')
for datapoint in self._iterate_datapoints():
datapoint_cell[datapoint.foo_id][datapoint.bar_id] =
template.render(dict(datapoint=datapoint))
If I change the template.render() call to just a "<td
class='score'>%s</td>" % datapoint.score, the code is an order of magnitude
faster.
My assumption (and my reading of the django code I think confirmed) that
the template is compiled only once, so I'm ok there.
Is this difference surprising or unexpected? Would a single (consolidated)
render() be expected to be much faster? (I'm trying to think of a way to
refactor it to a single render, but I'm not looking forward to rendering
json in a django template)
I'm also considering I may just need to return structured json and create
the elements manually on the client side -- although if I have to do it
that manually, I might as well use interpolation on the backend python
without using a template...
Oh, and I just tried jinja2 -- it was much closer to interpolation speed.
Perhaps that is my best answer.
Any thoughts or pointers on my predicament?
Thanks!
Rich
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