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SpamAssassin: A practical guide to integration and configuration

You're reading from  SpamAssassin: A practical guide to integration and configuration

Product type Book
Published in Sep 2004
Publisher Packt
ISBN-13 9781904811121
Pages 240 pages
Edition 1st Edition
Languages

Table of Contents (24) Chapters

SpamAssassin
Credits
About the Author
About the Reviewers
1. Introduction
1. Introducing Spam 2. Spam and Anti-Spam Techniques 3. Open Relays 4. Protecting Email Addresses 5. Detecting Spam 6. Installing SpamAssassin 7. Configuration Files 8. Using SpamAssassin 9. Bayesian Filtering 10. Look and Feel 11. Network Tests 12. Rules 13. Improving Filtering 14. Performance 15. Housekeeping and Reporting 16. Building an Anti-Spam Gateway 17. Email Clients 18. Choosing Other Spam Tools Glossary

Using SQL


SpamAssassin uses local databases for each user by default in the ~/.spamassassin directory. There are three types of databases: user preferences, the auto-whitelist, and the Bayesian database. SpamAssassin can use an SQL database to store any or all of these details.

When using SpamAssassin in a distributed environment where SpamAssassin may be run from one of many machines, using a single SQL database is an ideal solution. Using a centralized database also assists in centralized backup of the preferences, and gives the administrators the opportunity to modify many accounts easily.

SpamAssassin uses the modularity of Perl that allows the usage of different databases to be used without any changes to the application. SpamAssassin has been tested with MySQL, PostgreSQL, and SQLite. Due to the nature of the Perl database interface, most relational databases that are supported by Perl will work with SpamAssassin. The database driver modules are available on CPAN and have names beginning...

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