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| Started by | Stefan Behnel <stefan_ml@behnel.de> |
|---|---|
| First post | 2011-08-11 13:59 +0200 |
| Last post | 2011-08-11 13:59 +0200 |
| Articles | 1 — 1 participant |
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Re: String concatenation - which is the fastest way ? Stefan Behnel <stefan_ml@behnel.de> - 2011-08-11 13:59 +0200
| From | Stefan Behnel <stefan_ml@behnel.de> |
|---|---|
| Date | 2011-08-11 13:59 +0200 |
| Subject | Re: String concatenation - which is the fastest way ? |
| Message-ID | <mailman.2174.1313064009.1164.python-list@python.org> |
Chris Angelico, 11.08.2011 12:59: > On Thu, Aug 11, 2011 at 7:40 AM,<przemolicc@poczta.fm> wrote: >> I am not a database developer so I don't want to change the whole process >> of data flow between applications in my company. Another process is >> reading this XML from particular Oracle table so I have to put the final XML there. > > I think you may be looking at a submission to > http://www.thedailywtf.com/ soon. You seem to be working in a rather > weird dataflow. :( Under the circumstances, you're probably going to > want to go with the original ''.join() option. > >> This server has 256 GB of RAM so memory is not a problem. >> Also the select which fetches the data is sorted. That is why I have to >> carefully divide into subtasks and then merge it in correct order. > > There's no guarantee that all of that 256GB is available to you, of course. > > What may be the easiest way is to do the select in a single process, > then partition it and use the Python multiprocessing module to split > the job into several parts. Then you need only concatenate the handful > of strings. Or join them using an n-way merge. Stefan
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