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Real World Performance Tuning. Ask Bjørn Hansen OSCON 2001. Performance Tuning. Show more pages Faster With less resources Design the architecture right Optimize the code (in that order!). Memory usage. N connections = N fat mod_p erl processes

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real world performance tuning
Real WorldPerformance Tuning

Ask Bjørn Hansen

OSCON 2001

performance tuning
Performance Tuning
  • Show more pages
  • Faster
  • With less resources
  • Design the architecture right
  • Optimize the code
  • (in that order!)
memory usage
Memory usage
  • N connections = N fat mod_p erl processes
  • Fat processes doing little other than buffering to slow clients
memory usage1
Memory usage

20 connections per second

+ Each request takes 3 seconds to write to the network

= 60 active mod_perl processes

+ 15 spare processes for peaks

= 75 active mod_perl processes

* 20MB-12MB shared = 8MB memory

= 600MB memory

reverse proxy
Reverse proxy
  • Offload the buffering to a reverse proxy
  • Can
    • Do caching
    • Serve static content
    • Distribute requests to different backend processes
  • All in a “slim” process
reverse proxies
Reverse proxies
  • squid
    • best caching
    • not as flexible for a "reverse proxy" as mod_proxy
  • apache/mod_proxy
    • simple to configure
    • known environment
    • can cache
    • mod_rewrite
apache mod proxy
apache/mod_proxy
  • Specify what to pass through

RewriteRule ^/(foo/.*) http://localhost:8001/$1 [P]

  • Specify what NOT to pass through

RewriteCond %{REQUEST_URI} !^/images/

RewriteRule /(.*) http://localhost:8002/$1 [P]

  • Allow fix up of $r->connection->remote_ip

LoadModule proxy_add_forward_module modules/mod_proxy_add_forward.so

memory usage with apache mod proxy
Memory Usage with apache/mod_proxy
  • mod_proxy

20 connections per second

+ Each request takes 3 seconds

to write to the network

= 60 active mod_proxy processes + 15 spare

= 75 running mod_proxy processes

75 mod_proxy processes (300KB each)

= ~25MB memory

memory usage with apache mod proxy1
Memory Usage with apache/mod_proxy
  • mod_perl

20 connections per second

+ Each request takes <.05 seconds

to write to the proxy

= 1-2 active mod_perl processes + 3 spare

= 5 running mod_perl processes

5 mod_perl processes (8MB non-shared each)

= 40MB memory

memory usage with apache mod proxy2
Memory Usage with apache/mod_proxy

25+40MB

= 65MB total memory usage

  • >500MB less than the mod_perl alone!
basic httpd conf tuning
Basic httpd.conf tuning
  • mod_proxy

MaxClients 512

StartServers 50

MinSpareServers 20

MaxSpareServers 100

  • mod_perl

MaxClients 5

StartServers 3

MinSpareServers 1

MaxSpareServers 5

Port 80

Listen 8001

mod status
mod_status

ExtendedStatus on

<Location /server-status>

SetHandler server-status

Order deny,allow

Deny from all

Allow from 1.2.3.5

</Location>

virtualhost configuration
<VirtualHost> configuration

NameVirtualHost 1.2.3.4

<VirtualHost 1.2.3.4>

ServerName jobs.perl.org

...

RewriteCond %{REQUEST_URI} !.*\.(gif|png|jpg)$

RewriteRule /(.*) http://localhost:8010/$1 [P]

</VirtualHost>

<VirtualHost 1.2.3.4>

ServerName onion.perl.org

ServerAlias learn.perl.org

...

RewriteRule /(.*) http://localhost:8020/$1 [P]

</VirtualHost>

uri configuration
URI configuration

RewriteRule /(bar/.*) http://localhost:8030/$1 [P]

RewriteRule /(foo/.*) http://otherhost:8040/$1 [P]

  • Each backend process can run as a different user
    • A process per developer
    • A process per customer
    • A process per site
  • Backends can run on different machines
focus on code quality
Focus on code quality
  • The mod_perl guide recommends not using the IO:: modules or use vars qw(%foo);
  • I say use them if you would like to
    • far fewer mod_perl processes
  • use Exporter to export your function names as needed
  • Of course, don\'t go crazy and use POSIX and CGI.pm everywhere
load balancing
Load balancing
  • mod_rewrite can do simple load balancing
  • the mod_perl processes can be behind a load balancer,

RewriteRule /(foo/.*) http://modperl.farm.foo.com:8030/$1 [P]

  • mod_backhand
caching
Caching
  • Browsers/end user proxies can cache from servers
    • set the right headers, content-length, last-modified
  • Reverse proxies
    • you set the rules, if complete documents can be cached
  • Application can cache from other parts of the system (eg database)
    • even the database can cache some of what it has done
http headers
HTTP headers
  • Expires:
  • Content-Length:
  • Cache-Control:
  • Pragma: (old "Cache-Control")
  • When the complete documents can be cached.
  • If-Modified-Since:
    • 304 response
application caching
Application caching
  • Generate static content every N minutes
    • for small set of files
  • Save results from the SQL database
    • in a local BerkeleyDB or similar
  • Generate a Storable or BerkeleyDB file centrally and rsync it to each mod_perl server
  • Create summary tables in the database
    • to lighten the load of heavy queries
  • Mix and match for fragments
caching summary
Caching summary
  • Decide for how long data can be considered "fresh enough"
  • Cache fragments of pages where possible
  • Make each part of the system cache and aggregate as much as possibly
  • Make SQL queries as simple and fast as possibly
databases
Databases
  • Databases are hard(er) to scale
  • Reverse proxy minimizes the need for many concurrent database connections
  • Apache::DBI minimizes the number of new connections made
  • Caching minimizes the number of lookups
  • Summary tables can make the lookups faster
summary
Summary
  • Architecture more important than code
  • Use many proxies
    • Allowing fewer heavy backends
  • Caching is fundamental
resources
Resources
  • The mod_perl guide\'s performance section
    • http://perl.apache.org/guide/performance.html
    • lot\'s of nitty gritty details
  • DBI and mod_perl
    • http://www.saturn5.com/~jwb/dbi-performance.html
  • Database performance
    • Tim’s Advanced DBI Tutorial
    • http://www.cpan.org/authors/id/TIMB/DBI_Talk5_2001.tar.gz
  • These slides
    • http://develooper.com/modperl/
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