Mercurial > kallithea
view docs/usage/performance.rst @ 3721:6c79bfcd3b54 beta
compare: move get_changesets to compare controller where it is used
That is a better location than the pull request model. It should probably be
split up and moved to the backend specific Repository classes.
author | Mads Kiilerich <madski@unity3d.com> |
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date | Fri, 05 Apr 2013 00:40:58 +0200 |
parents | d79f3505549e |
children | e73a69cb98dc |
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.. _performance: ================================ Optimizing RhodeCode Performance ================================ When serving large amount of big repositories RhodeCode can start performing slower than expected. Because of demanding nature of handling large amount of data from version control systems here are some tips how to get the best performance. * RhodeCode will perform better on machines with faster disks (SSD/SAN). It's more important to have faster disk than faster CPU. * Slowness on initial page can be easily fixed by grouping repositories, and/or increasing cache size (see below), that includes using lightweight dashboard option and vcs_full_cache setting in .ini file Follow these few steps to improve performance of RhodeCode system. 1. Increase cache in the .ini file:: beaker.cache.sql_cache_long.expire=3600 <-- set this to higher number This option affects the cache expiration time for main page. Having few hundreds of repositories on main page can sometimes make the system to behave slow when cache expires for all of them. Increasing `expire` option to day (86400) or a week (604800) will improve general response times for the main page. RhodeCode has an intelligent cache expiration system and it will expire cache for repositories that had been changed. 2. Switch from sqlite to postgres or mysql sqlite is a good option when having small load on the system. But due to locking issues with sqlite, it's not recommended to use it for larger setup. Switching to mysql or postgres will result in a immediate performance increase. 3. Scale RhodeCode horizontally Scaling horizontally can give huge performance increase when dealing with large traffic (large amount of users, CI servers etc). RhodeCode can be scaled horizontally on one (recommended) or multiple machines. In order to scale horizontally you need to do the following: - each instance needs it's own .ini file and unique `instance_id` set in them - each instance `data` storage needs to be configured to be stored on a shared disk storage, preferably together with repositories. This `data` dir contains template caches, sessions, whoosh index and it's used for tasks locking (so it's safe across multiple instances). Set the `cache_dir`, `index_dir`, `beaker.cache.data_dir`, `beaker.cache.lock_dir` variables in each .ini file to shared location across RhodeCode instances - if celery is used each instance should run separate celery instance, but the message broken should be common to all of them (ex one rabbitmq shared server) - load balance using round robin or ip hash, recommended is writing LB rules that will separate regular user traffic from automated processes like CI servers or build bots.