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Storm, SQLAlchemy, and Geniusql
ylodi
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8-21-2007 6:14 AM
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tags:
python
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orm
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<div style="margin: 12px 0px; font-family: arial; color: #333333; background: #ffffff; border: solid 4px #e5e5e5; width: 100%; clear: left;"><div class="CM_CTB_Content_Wrap" style="margin: 0px; padding: 0px;background-color: #ffffff;"><div style="border-bottom: solid 1px #dcdcdc; white-space: nowrap; margin-bottom: 8px; background-color: #eeeeee ;background-image: url(http://clipmarks.com/images/source-bg.gif); background-repeat: repeat-x; height: 24px; line-height: 24px; vertical-align: middle; padding-bottom: 4px; color: #666666; font-size: 10px;" ><a href="http://clipmarks.com/clip-to-blog/" title="see clips that are hot right now"><img src="http://content.clipmarks.com/blog_embed/ae34ee37-c4ae-419e-964a-08ca7344921c/9FDCBAAE-1FEC-410D-BDFB-CA1335A3FFC4/" alt="" width="19" height="19" border="0" style="vertical-align: middle; margin: 0px 4px; display: inline; border: none; float:none;" /></a>clipped from <a title="http://www.aminus.org/blogs/index.php/fumanchu/2007/08/18/storm_sqlalchemy_and_geniusql" href="http://www.aminus.org/blogs/index.php/fumanchu/2007/08/18/storm_sqlalchemy_and_geniusql" style="font-size: 11px;">www.aminus.org</a></div><blockquote style="text-align: left; padding: 0px 8px; margin: 4px 0px 8px 0px; background: transparent; border: none;" cite="http://www.aminus.org/blogs/index.php/fumanchu/2007/08/18/storm_sqlalchemy_and_geniusql"><H3 class="bTitle">Storm, SQLAlchemy, and Geniusql</H3></blockquote><div style="height: 2px; font-size: 2px; background: #dcdcdc; border-bottom: solid 1px #f5f5f5; margin: 2px 4px;"></div><blockquote style="text-align: left; padding: 0px 8px; margin: 4px 0px 8px 0px; background: transparent; border: none;" cite="http://www.aminus.org/blogs/index.php/fumanchu/2007/08/18/storm_sqlalchemy_and_geniusql"><P>As Mike Bayer <A href="http://techspot.zzzeek.org/?p=14">mentioned</A>, I recently did some cross-ORM comparisons. The charts below all show "number of requests" on the X axis and "number of seconds to complete those requests" on the Y axis.</P></blockquote><div style="height: 2px; font-size: 2px; background: #dcdcdc; border-bottom: solid 1px #f5f5f5; margin: 2px 4px;"></div><blockquote style="text-align: left; padding: 0px 8px; margin: 4px 0px 8px 0px; background: transparent; border: none;" cite="http://www.aminus.org/blogs/index.php/fumanchu/2007/08/18/storm_sqlalchemy_and_geniusql"><P>I used trunk versions of Geniusql (1.0) and SQLAlchemy (0.4, without using the <CODE>orm</CODE> subpackage), and the latest stable distro of Storm (0.10). All test runs were done on my Win2k laptop, which has a 2GHz CPU and 512MB of RAM. PostgreSQL 8.0.0rc1 was the DB engine, and psycopg2 was the driver.</P></blockquote><div style="height: 2px; font-size: 2px; background: #dcdcdc; border-bottom: solid 1px #f5f5f5; margin: 2px 4px;"></div><blockquote style="text-align: left; padding: 0px 8px; margin: 4px 0px 8px 0px; background: transparent; border: none;" cite="http://www.aminus.org/blogs/index.php/fumanchu/2007/08/18/storm_sqlalchemy_and_geniusql"><P>Scripts and a CSV are here: <A href="http://www.aminus.org/rbre/python/ormcompare/">http://www.aminus.org/rbre/python/ormcompare/</A> I'd be happy to be notified I did something wrong in the SQLAlchemy or Storm code (especially if you can patch it to do better <IMG class="middle" alt=";)" src="http://www.aminus.org/blogs/img/smilies/icon_wink.gif" /> ).</P></blockquote></div><div style="margin: 0px 6px 6px 4px;"><table style="font-size: 11px;border-spacing: 0px;padding: 0px;" cellpadding="0" cellspacing="0" width="100%"><tr><td style="background:transparent;border-width:0px;padding:0px;"> </td><td align="right" style="background:transparent;border-width:0px;padding:0px;width:107px" width="107"><a href="http://clipmarks.com/share/9FDCBAAE-1FEC-410D-BDFB-CA1335A3FFC4/blog/" title="blog or email this clip"><img src="http://content7.clipmarks.com/images/c2b-foot.png" border="0" alt="blog it" width="107" height="17" style="border-width:0px;padding:0px;margin:0px;" /></a></td></tr></table></div></div>
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