Important
You are browsing documentation for version 5.0 of OroCommerce, supported until January 2025. Read the documentation for version 6.0 (the latest LTS version) to get up-to-date information.
See our Release Process documentation for more information on the currently supported and upcoming releases.
Performance Optimization
Optimize PHP performance
PHP-FPM configuration
PHP-FPM (FastCGI Process Manager) is an alternative PHP FastCGI implementation adjusted for better handling of the heavy workload.
The recommended configuration of the PHP-FPM is provided below.
[www]
listen = 127.0.0.1:9000
; or
; listen = /var/run/php5-fpm.sock
listen.allowed_clients = 127.0.0.1
pm = dynamic
pm.max_children = 128
pm.start_servers = 8
pm.min_spare_servers = 4
pm.max_spare_servers = 8
pm.max_requests = 512
catch_workers_output = yes
Note
Make sure that Nginx fastcgi_pass
and PHP-FPM listen
options are aligned.
Optimize PHP Runtime Compilation
Use an OpCache bytecode engine to cache bytecode representation of the PHP code and save time on the repetitive runtime compilation.
Please install Opcache php-extension and configure it in the following way:
opcache.enable=1
opcache.enable_cli=0
opcache.memory_consumption=512
opcache.max_accelerated_files=65407
opcache.interned_strings_buffer=32
#http://symfony.com/doc/current/performance.html
realpath_cache_size=4096K
realpath_cache_ttl=600
Note
The opcache.load_comments and opcache.save_comments parameters are enabled by default and should remain so for Oro application operation. Please do not disable them.
Optimize Web Server Performance
You can improve your website performance by turning on compression and caching. This is configured on your web server.
For Nginx
To enable
gzip
compression, add the following into yournginx.conf
or website configuration file:
gzip on;
gzip_buffers 16 8k;
gzip_comp_level 5;
gzip_disable "msie6";
gzip_min_length 1000;
gzip_http_version 1.0;
gzip_proxied any;
gzip_types text/plain application/javascript application/x-javascript text/javascript text/xml text/css image/svg+xml;
gzip_vary on;
Note
Nginx.conf is usually located at /etc/nginx/nginx.conf
.
To install
pagespeed_mod
for nginx, use the build ngx pagespeed from source guidance.
To enable HTML compression
, add the following lines into your nginx.conf
or website configuration file in sections server
or http
:
pagespeed on;
pagespeed FileCachePath "/var/cache/ngx_pagespeed";
pagespeed EnableFilters collapse_whitespace;
pagespeed Disallow "*.svg*";
Note
Nginx.conf is usually located at /etc/nginx/nginx.conf
.
To enable caching, insert the following in the server section of your website configuration file:
server {
# One week for javascript and css
location ~* \.(?:css|js) {
expires 1w;
access_log off;
add_header Cache-Control public;
}
# Three weeks for media: images, fonts, icons, video, audio etc.
location ~* \.(?:jpg|jpeg|gif|png|ico|tiff|woff|eot|ttf|svg|svgz|mp4|ogg|ogv|webm|swf|flv)$ {
if ( -f $request_filename ) { expires 3w; add_header "Cache-Control" "public"; }
try_files $uri /index.php$is_args$args;
access_log off;
}
}
For Apache
If you are using Apache as your web server, you already have the necessary configuration in the public/.htaccess
file.
However, this configuration relies on the mod_deflate
and mod_headers
modules that are needed for the compression
and caching to work. Ensure these modules are enabled in Apache configuration.
To enable compression, ensure that the
mod_deflate
module is loaded in your Apache config file as illustrated below:LoadModule deflate_module libexec/apache2/mod_deflate.so
Note
Apache configuration is usually located at
/etc/apache2/httpd.conf
.The out-of-the-box configuration for the compression in the
.htaccess
file is following:<IfModule mod_deflate.c> AddOutputFilterByType DEFLATE text/html text/plain AddOutputFilterByType DEFLATE text/css AddOutputFilterByType DEFLATE text/javascript application/javascript application/x-javascript AddOutputFilterByType DEFLATE text/xml application/xml application/xhtml+xml AddOutputFilterByType DEFLATE image/x-icon AddOutputFilterByType DEFLATE image/svg+xml AddOutputFilterByType DEFLATE application/rss+xml AddOutputFilterByType DEFLATE application/x-font application/x-font-truetype application/x-font-ttf application/x-font-otf application/x-font-opentype application/vnd.ms-fontobject font/ttf font/otf font/opentype BrowserMatch \bMSIE !no-gzip !gzip-only-text/html </IfModule>
To install
Pagespeed
module for Apache, follow the guidance on installing from Apache-only packages. To enableHTML compression
, ensure that these lines are uncommetned inpagespeed.conf
:ModPagespeed On ModPagespeedFileCachePath "/var/cache/mod_pagespeed/" ModPagespeedEnableFilters collapse_whitespace AddOutputFilterByType MOD_PAGESPEED_OUTPUT_FILTER text/html
To enable caching, ensure that
mod_headers
is loaded in your Apache config file as shown below:LoadModule headers_module libexec/apache2/mod_headers.so
The out-of-the-box configuration for caching in the
.htaccess
file is the following:
Optimize Elasticsearch
There are a few ways to tune up search speed performance:
Give memory to the filesystem cache
Use faster drives (SSD instead of HD, local storage over virtual)
Search fewer fields
Warm up the filesystem cache
See more information on optimizing search speed on Elasticsearch website.
To tune for indexing speed, you can try the following recommendations:
Use multiple workers/threads to send data to Elasticsearch to use all resources of the cluster
Increase index.refresh_interval to allow larger segments to flush and decreases future merge pressure
Disable refresh and replicas for initial loads
Disable swapping
Give memory to the filesystem cache
Use faster hardware
See more information on optimizing indexing speed on Elasticsearch website.
Also, keep in mind that using Elasticsearch with MySQL, PostgreSQL, Redis and/or Rabbit on one server is not recommended to avoid slow performance.
Optimize Redis
To optimize Redis, try the following configurations for performance optimization:
Limits
maxclients 100000 maxmemory 512mb maxmemory-policy allkeys-lru maxmemory-samples 3
Append only mode
appendonly no appendfsync everysec no-appendfsync-on-rewrite no auto-aof-rewrite-percentage 100 auto-aof-rewrite-min-size 64
Slow log
slowlog-log-slower-than 10000 slowlog-max-len 1024
Advanced config
hash-max-ziplist-entries 512 hash-max-ziplist-value 64 list-max-ziplist-entries 512 list-max-ziplist-value 64 set-max-intset-entries 512 zset-max-ziplist-entries 128 zset-max-ziplist-value 64 activerehashing yes
The complete configuration recommendations is available in the Redis configuration file example.
You can find more information on memory optimization on Redis website.
Optimize PostgreSQL
The following recommendations can highly improve PostgreSQL performance:
Increase the shared_buffers value in postgresql.conf. The shared_buffers parameter defines how much dedicated memory PostgreSQL uses for the cache. The recommended value is 25% of your total machine RAM, but the value can be lower or higher depending on your system configuration. Try finding the right balance by altering the values.
Increase the effective_cache_size value in postgresql.conf. The parameter specifies the amount of memory available in the OS and PostgreSQL buffer caches. Usually, it should be more than 50% of the total memory. Otherwise, it may slow down the performance.
Increase the work_mem value if you need to do complex sorting. But keep in mind that setting this parameter globally can cause significant memory usage. So it is recommended to modify the option at the session level.
Increase the checkpoint_segments value to make checkpoints less frequent and less resource-consuming.
Increase the max_fsm_pages and max_fsm_relations value. In a busy database, set the parameter to higher than 1000.
Reduce the random_page_cost value. It encourages the query optimizer to use random access index scans.
For more optimization configurations, see PostgreSQL website.
Optimize MySQL
You can get better performance and minimize storage space by using some of the techniques listed below.
Optimize at the database level. Make sure that:
Tables are structured properly, columns have the right data types.
Right indexes are in place to make queries efficient.
You are using the appropriate storage engine for each table.
You use an appropriate row format.
The application uses an appropriate locking strategy.
All memory areas are used for caching sized correctly.
Optimize at the hardware level. System bottlenecks typically arise from these sources:
Disk seeks. To optimize the seek time, distribute the data onto more than one disk.
Disk reading and writing. When the disk is in the correct position, we need to read or write the data. With modern disks, one disk delivers at least 10–20MB/s throughput. This is easier to optimize than seeks because you can read in parallel from multiple disks.
CPU cycles. The most common limiting factor is having large tables compared to the amount of memory. But with small tables, speed is usually not the problem.
Memory bandwidth. The main memory bandwidth may become a bottleneck when the CPU needs more data than can fit in the CPU cache.
More recommendations are available in MySQL topic in Oro documentation.
For more information on performance optimization on MySQL website, see the Optimization section of the Reference Manual.
Optimize Symfony
You can make Symfony faster if you optimize your servers and applications:
Use the OPcache byte code cache to avoid having to recompile PHP files for every request
Configure OPcache for maximum performance
; php.ini ; maximum memory that OPcache can use to store compiled PHP files opcache.memory_consumption=256 ; maximum number of files that can be stored in the cache opcache.max_accelerated_files=20000
Do not check PHP files timestamps. By default, OPcache checks if cached files have changed their contents since they were cached. This check introduces some overhead that can be avoided as follows:
; php.ini opcache.validate_timestamps=0
After each deployment, empty and regenerate the cache of OPcache.
Configure the PHP realpath cache
; php.ini ; maximum memory allocated to store the results realpath_cache_size=4096K ; save the results for 10 minutes (600 seconds) realpath_cache_ttl=600
Optimize Composer autoloader
composer dump-autoload --optimize --no-dev --classmap-authoritative
For more information on Symfony performance optimization, see the list of all recommendations on the Symfony website.
Improve Doctrine Performance
There are several things you can do to improve Doctrine performance:
Use the EXTRA_LAZY fetch-mode feature for collections to avoid performance and memory problems initializing references to large collections.
Mark a many-to-one or one-to-one association as fetched temporarily to batch fetch these entities using a WHERE ..IN query.
$query = $em->createQuery("SELECT u FROM MyProject\User u"); $query->setFetchMode("MyProject\User", "address", \Doctrine\ORM\Mapping\ClassMetadata::FETCH_EAGER); $query->execute();
More recommendations on improving Doctrine performance are available on the Doctrine website.
Optimize Message Queue Consumers
MQ consumers can take up a lot of CPU time. To avoid this, consider moving consumers to a separate node, or have enough CPU cores in the main node.
Use Blackfire to Profile Requests
You can use Blackfire at any stage of the application’s lifecycle to gather data about the behavior of your current codebase, analyze profiles and optimize the code.
Using Blackfire, you can find and fix performance issues by using the following methods:
Profile key pages
Select the slowest ones
Compare and analyze profiles to spot differences and bottlenecks (on all dimensions)
Find the biggest bottlenecks
Try to fix the issue or improve the overall performance
Check that tests are not broken
Generate a profile of the updated version of the code
Compare the new profile with the first one
Rinse and repeat
Read more on how to use Blackfire in its documentation portal.