Edgewall Software

Version 32 (modified by Christian Boos, 11 years ago) ( diff )

Mention the newly contributed Ingres support (#6235)

Database Backend

Initially, Trac only supported SQLite for its database backend (see PySqlite).

Postgresql support has been added as of Trac 0.9.

Mysql support will be added for Trac 0.10 (see this status report).

More generally, since milestone:0.10, Trac offers an easily extensible layer for Database support (see trac.db.api).

The existing backends have been refactored and integrated in this layer. There's currently bundled support for:

There's some work in progress for the following:

Backend Specific Installation Instructions

SQLite

Should be installed out-of-the-box, provided you have installed the PySqlite bindings.

Known issues: see pysqlite-related tickets

Postgresql

  • Have a working copy of Postgresql
  • Get the proper database driver for Python (see above)
  • Install mxBase, which is required for Postgresql support.
  • Create a database for your Trac environment
    % createdb dbname
    
  • Run trac-admin to create a new Trac environment. When prompted for a Database connection string, use:
    postgres://user:pass@localhost:5432/dbname
    

Alternatively on UNIX, if the database is a local one, you can UNIX sockets instead of TCP/IP:

postgres://user:pass@/dbname

See #4546 for more details.

See also #2441, which discusses the process of migration from SQLite to Postgresql.

For a postgresql recipe tested on CentOS4 (Red Hat -EL4) see PostgresqlRecipe.

Note: Since Trac 0.10 the psycopg1 postgresql driver is no longer supported due to lack of unicode support.

Known issues: see postgres-related tickets

MySQL

It is somewhat supported by Trac since 0.10, but there are some limitations, documented in more details in the MySqlDb page. Use this only if you don't have other choice, and be warned that there can be many issues, in particular related to the unicode support and the repository cache support. Some users are nevertheless using MySQL successfully, so it might work for you. The primary supported backends though are PostgreSQL and SQLite.

  • Have a working copy of MySQL version 4.1.12 or greater.
  • MySQLdb - Python database driver for MySQL
  • Create a database and user for your Trac environment
    % mysqladmin create dbname
    % mysql
    > grant all privileges on dbname.* to dbuser@dbhost identified by 'dbpass';
    > use dbname;
    > ALTER DATABASE DEFAULT CHARACTER SET utf8 COLLATE utf8_general_ci;
    > quit
    
    NB - it may be necessary to use a different collation. In some cases, where there is a 
    case-sensitive collision between 2 files in svn (/myrepos/path/my.txt and /myrepos/path/MY.txt) 
    utf8_general_ci is case-*in*sensitive, so utf8_bin will allow case-sensitive keys. For example 
    > ALTER DATABASE DEFAULT CHARACTER SET utf8 COLLATE utf8_bin;
    If during index of respository you get 1062 - Duplicate Entry this may be a cause
    see ticket 3676 
    
    
  • Run trac-admin to create a new Trac environment. When prompted for a database connection string, use:
    mysql://dbuser:dbpass@host:port/dbname
    
  • or
    mysql://dbuser:dbpass@host/dbname
    

Known issues: see mysql-related tickets

Users have reported success in Conversion from SQLite.

Alternative Ideas for Database Independence

Object-Relational Mapper

An ORM could be used to provide a unified object interface to different RDBMS:

  • some people have been talking about using SQLObject to accomplish this goal of database independence.
  • Modeling Another, more advanced (and more complex) OR-Mapper.
  • SQLAlchemy seems to be also quite advanced

Comparisons between both and more info on Python ORMs:

Store Tickets and Wiki pages directly in the Subversion repository

A compelling idea with many advantages. A page advocating this plan is TighterSubversionIntegration. There has also been a discussion on the Trac mailing list. All arguments from this discussion are summarized on the page WhySQLite.

Other Alternatives

Note: See TracWiki for help on using the wiki.