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Diffstat (limited to 'README.md')
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@@ -60,52 +60,55 @@ You can either install them from sources or (recommended) install using package Build process ------------- -Building of rspamd is simple: +To build rspamd from the sources please follow these steps: +1. Clone rspamd repository: - $ cmake . - $ make - # make install +~~~ +$ git clone --recurse-submodules https://github.com/vstakhov/rspamd.git +~~~ +2. Install all dependencies and create a build directory: + +~~~ +$ mkdir rspamd.build +~~~ + +3. From rspamd build directory run `cmake` with specifying the path to the source +directory, for example: + +~~~ +$ cmake ../rspamd +~~~ + +4. After configure process has finished you can build rspamd using `make`: + +~~~ +$ make +# make install +~~~ After installation binaries, rules, plugins and a sample configuration will be -installed in the target directories (prefixed by */usr/local* by default). To -start working with rspamd you should do several steps (please note that this is -not applicable to an installation based on packages, as such an installation -have everything ready for using): - -1. Copy a sample configuration $PREFIX/etc/rspamd.xml.sample to -$PREFIX/etc/rspamd.xml -2. Edit rspamd.xml according to your system (described -later). -3. Make a directory for rspamd pid file and data (/var/run/rspamd by -default) and make rspamd user (nobody by default) as the owner of rspamd data -directory. -4. Make a directory for rspamd logs (or setup syslog to accept -rspamd log messages). -5. Install start script to a proper place. -6. Start rspamd using start script. - -If start script is not suitable for your system (now rspamd shipped with start -script for FreeBSD, Debian and RedHat like operational systems) you should -write a start script suitable for your system. +installed in the target directories (prefixed by */usr/local* by default). Further Actions =============== -You can improve quality of rspamd by learning its statistic module. The easiest +You can improve the quality of rspamd filtering by learning its statistical module. The easiest way to do it is to use rspamc client (you can setup a custom email alias to pipe messages to rspamc) - $ rspamc -P 'q1' -c bayes learn_spam [ file1 [file2 [...]]] - $ rspamc -P 'q1' -c bayes learn_ham [ file1 [file2 [...]]] +~~~ +$ rspamc -P 'q1' learn_spam [ file1 [file2 [...]]] +$ rspamc -P 'q1' learn_ham [ file1 [file2 [...]]] +~~~ -Note: you should consider to change default controller's password 'q1' to yours +Note: you should consider to change default controller's password `q1` to a more secure one specified in the controller section of configuration. -Also a system administrator may want to customize rule's weights or actions -thresholds. This can be easily done by editing metric section in the +Also a system administrator might want to customize rule's weights or actions +thresholds. This can be done easily by editing `metrics.conf` configuration file. -For writing new rules you can examine the main rspamd documentation and lua api +For writing new rules you can examine the main [rspamd documentation](https://rspamd.com/doc/) and [lua api](https://rspamd.com/doc/lua/) guide and reference. |