On Thu, Feb 7, 2013 at 11:28 PM, Костя Лопухин <konstantin.lopu...@chtd.ru>wrote:
> PyPy supports postgres with either psycopg2cffi or psycopg2-ctypes > bindings. We use psycopg2cffi in production (and maintain them), and > here http://chtd.ru/blog/bystraya-rabota-s-postgres-pod-pypy/?lang=en > are some benchmarks. > And yes, PyPy is cool :) Typically giving 3x speedups, and some memory > savings sometimes. > > 2013/2/7 Gelin Yan <dynami...@gmail.com>: > > > > > > On Thu, Feb 7, 2013 at 10:11 PM, Phyo Arkar <phyo.arkarl...@gmail.com> > > wrote: > >> > >> Pypy should have a page for "Success Stories!" > >> > >> Now with this and Quora proving Power of PyPy , i am beginning to start > >> converting my projects into PyPy soon! > >> I am only withholding right now because my projects uses a lot of C > >> Libraries and Numpy/Matplotlib/scilit-learn. > >> > >> Thanks > >> > >> Phyo. > >> > >> On Thursday, February 7, 2013, Maciej Fijalkowski wrote: > >>> > >>> On Thu, Feb 7, 2013 at 1:55 PM, Marko Tasic <mtasi...@gmail.com> > wrote: > >>> > Hi, > >>> > > >>> > I would like to share short story with you and share what we have > >>> > accomplished with PyPy and its friends so far. > >>> > > >>> > Company that I have worked for last 7 months (intentionally unnamed) > >>> > gave me absolute permission to pick up technologies on which we based > >>> > our solution. What we do is: crawl for PDFs and newspapers articles, > >>> > download, translate them if needed, OCR if needed, do extensive > >>> > analysis of downloaded PDFs and articles, store them in more > organized > >>> > structures for faster querying, search for them and generate bunch of > >>> > complex reports. > >>> > > >>> > From very beginning I decided to go with PyPy no matter what. What we > >>> > picked is following: > >>> > * Flask for web framework, and few of its extensions such as > >>> > Flask-Login, Flask-Principal, Flask-WTF, Flask-Mail, etc. > >>> > * Cassandra as database because of its features and great experience > >>> > with it. PyCassa is used as client to talk to Cassandra server. > >>> > * ElasticSearch as distributed search engine, and its client library > >>> > pyes. > >>> > * Whoosh as search engine, but with some modifications to support > >>> > Cassandra as storage and distributed locking. > >>> > * Redis, and its client library redis-py, for caching and to speed up > >>> > common auto-completion patterns. > >>> > * ZooKeeper, and its client library Kazoo, for distributed locking > >>> > which plays essential role in system for transaction-like behavior > >>> > over many services at once. > >>> > * Celery in conjunction with RabbitMQ for task distribution. > >>> > * Sentry for error logging. > >>> > > >>> > What we have developed on our own are wrappers and clients for: > >>> > * Moses which is language translator > >>> > * Tesseract which is OCR engine > >>> > * Cassandra store for Whoosh > >>> > * wkhtmltopdf and wkhtmltoimage which are used for conversion of HTML > >>> > to PDF/Image > >>> > * etc > >>> > > >>> > Now when product is finished and in final testing phase, I can say > >>> > that we did not regret because we used PyPy and stack around it. > >>> > Typical speed improvement is 2x-3x over CPython in our case, but > >>> > anyway we are mostly IO and memory bound, expect for Celery workers > >>> > where we do analysis which are again many small CPU intensive tasks > >>> > that are exchanged via RabbitMQ. Another reason why we don't see > >>> > speedup us is that we are dependent on external software (servers) > >>> > written in Erlang and Java. > >>> > > >>> > I'm already planing to do Cassandra (distributed key/value only > >>> > database without index features), ZooKeeper, Redis and ElasticSearch > >>> > ports in Python for next projects, and hopefully opensource them. > >>> > > >>> > Regards, > >>> > Marko Tasic > >>> > _______________________________________________ > >>> > pypy-dev mailing list > >>> > pypy-dev@python.org > >>> > http://mail.python.org/mailman/listinfo/pypy-dev > >>> > >>> Awesome! > >>> > >>> I'm glad people can make pypy work for non-trivial tasks which require > >>> a lot of dependencies. We're trying to lower the bar, however it takes > >>> time. > >>> > >>> Cheers, > >>> fijal > >>> _______________________________________________ > >>> pypy-dev mailing list > >>> pypy-dev@python.org > >>> http://mail.python.org/mailman/listinfo/pypy-dev > >> > >> > >> _______________________________________________ > >> pypy-dev mailing list > >> pypy-dev@python.org > >> http://mail.python.org/mailman/listinfo/pypy-dev > >> > > > > > > Hi, It might be off topic. I want to know whether pypy support postgres. > The > > last time I noticed ctypes based psycopg2 was still beta. I mainly use > > twisted & postgres. pypy supports twisted well but not good for psycopg2. > > > > Regards > > > > gelin yan > > > > _______________________________________________ > > pypy-dev mailing list > > pypy-dev@python.org > > http://mail.python.org/mailman/listinfo/pypy-dev > > > > > > -- > Константин Лопухин, разработчик > Компания ЧТД -- http://chtd.ru > +7 (495) 646-87-45, добавочный 333 > Hi Glad to hear that. I will give it a try. By the way, Can i use it on windows? It looks like cffi support windows. Regards gelin yan
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