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MySQL Performance Problems
Post 303041393 by Neo on Friday 22nd of November 2019 06:14:47 AM
11-22-2019
Administrator
I just completed (for the most part) a database optimization which was slowing the site down.
In a nutshell, when I created some new code to mitigate against Google soft 404 "errors" (slim content) by adding matching man pages to posts with very little content, I used a "real time" FULLTEXT search of over 350K man pages, and this was causing some performance issues.
Plus, my new code worked, and Google search referrals have just about doubled since I created the solution, but the upside/downside was that the site traffic also doubled (which is a good thing) and the new queries were killing performance (a bad thing).
In the final optimization, I preprocessed all these matches and stored the results in the DB (the ids of all the man pages which match the discussion contents) so, the long MySQL queries doing these FULLTEXT NATURAL LANGUAGE searches on the fly were eliminated (right now about 99.5+ are gone, I have about a half a day of processing to get to 99.999 percent.
The performance improvement is remarkable and the site is much faster, and I have earned my black belt (or at least a brown belt) in MySQL performance tuning, after all these years.
In a nutshell, when I created some new code to mitigate against Google soft 404 "errors" (slim content) by adding matching man pages to posts with very little content, I used a "real time" FULLTEXT search of over 350K man pages, and this was causing some performance issues.
Plus, my new code worked, and Google search referrals have just about doubled since I created the solution, but the upside/downside was that the site traffic also doubled (which is a good thing) and the new queries were killing performance (a bad thing).
In the final optimization, I preprocessed all these matches and stored the results in the DB (the ids of all the man pages which match the discussion contents) so, the long MySQL queries doing these FULLTEXT NATURAL LANGUAGE searches on the fly were eliminated (right now about 99.5+ are gone, I have about a half a day of processing to get to 99.999 percent.
The performance improvement is remarkable and the site is much faster, and I have earned my black belt (or at least a brown belt) in MySQL performance tuning, after all these years.
This User Gave Thanks to Neo For This Post:
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LEARN ABOUT DEBIAN
net::google::code::issue::search
Net::Google::Code::Issue::Search(3pm) User Contributed Perl Documentation Net::Google::Code::Issue::Search(3pm) NAME
Net::Google::Code::Issue::Search - Issues Search API DESCRIPTION
INTERFACE
search ( can => 'all', q = 'foo', sort => '-modified', limit => 1000, load_after_search => 1 ) do the search, the results is set to $self->results, which is an arrayref with Net::Google::Code::Issue as element. If a "sort" argument is specified, that will be passed to google code's issue list. Generally, these are composed of "+" or "-" followed by a column name. limit => Num is to limit the results number. load_after_search => Bool is to state if we should call $issue->load after search return true if search is successful, false on the other hand. updated_after( date_string || DateTime object ) find all the issues that have been updated or created after the date. the issues are all loaded. return true if success, false on the other hand project results this should be called after a successful search. returns issues as a arrayref. AUTHOR
sunnavy "<sunnavy@bestpractical.com>" LICENCE AND COPYRIGHT
Copyright 2008-2010 Best Practical Solutions. This program is free software; you can redistribute it and/or modify it under the same terms as Perl itself. perl v5.10.1 2010-01-29 Net::Google::Code::Issue::Search(3pm)