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  • Using Postgres
    --------------
    
    
    Postgres version 9.5 or later is known to work.
    
    Install postgres client libraries
    =================================
    
    Synapse will require the python postgres client library in order to connect to
    a postgres database.
    
    * If you are using the `matrix.org debian/ubuntu
      packages <../INSTALL.md#matrixorg-packages>`_,
    
      the necessary python library will already be installed, but you will need to
      ensure the low-level postgres library is installed, which you can do with
      ``apt install libpq5``.
    
    
    * For other pre-built packages, please consult the documentation from the
      relevant package.
    
    
    * If you installed synapse `in a virtualenv
    
      <../INSTALL.md#installing-from-source>`_, you can install the library with::
    
          ~/synapse/env/bin/pip install matrix-synapse[postgres]
    
      (substituting the path to your virtualenv for ``~/synapse/env``, if you used a
      different path). You will require the postgres development files. These are in
      the ``libpq-dev`` package on Debian-derived distributions.
    
    
    Assuming your PostgreSQL database user is called ``postgres``, create a user
    ``synapse_user`` with::
    
    
       su - postgres
       createuser --pwprompt synapse_user
    
    Before you can authenticate with the ``synapse_user``, you must create a
    
    database that it can access. To create a database, first connect to the database
    with your database user::
    
       su - postgres
       psql
    
    and then run::
    
       CREATE DATABASE synapse
        ENCODING 'UTF8'
        LC_COLLATE='C'
        LC_CTYPE='C'
        template=template0
        OWNER synapse_user;
    
    
    This would create an appropriate database named ``synapse`` owned by the
    
    ``synapse_user`` user (which must already have been created as above).
    
    
    Note that the PostgreSQL database *must* have the correct encoding set (as
    
    shown above), otherwise it will not be able to store UTF8 strings.
    
    You may need to enable password authentication so ``synapse_user`` can connect
    to the database. See https://www.postgresql.org/docs/11/auth-pg-hba-conf.html.
    
    Tuning Postgres
    ===============
    
    The default settings should be fine for most deployments. For larger scale
    deployments tuning some of the settings is recommended, details of which can be
    found at https://wiki.postgresql.org/wiki/Tuning_Your_PostgreSQL_Server.
    
    In particular, we've found tuning the following values helpful for performance:
    
    - ``shared_buffers``
    - ``effective_cache_size``
    - ``work_mem``
    - ``maintenance_work_mem``
    - ``autovacuum_work_mem``
    
    Note that the appropriate values for those fields depend on the amount of free
    memory the database host has available.
    
    
    Synapse config
    ==============
    
    
    When you are ready to start using PostgreSQL, edit the ``database`` section in
    your config file to match the following lines::
    
        database:
            name: psycopg2
            args:
                user: <user>
                password: <pass>
                database: <db>
                host: <host>
                cp_min: 5
                cp_max: 10
    
    
    All key, values in ``args`` are passed to the ``psycopg2.connect(..)``
    function, except keys beginning with ``cp_``, which are consumed by the twisted
    adbapi connection pool.
    
    Overview
    ~~~~~~~~
    
    
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    The script ``synapse_port_db`` allows porting an existing synapse server
    backed by SQLite to using PostgreSQL. This is done in as a two phase process:
    
    
    1. Copy the existing SQLite database to a separate location (while the server
       is down) and running the port script against that offline database.
    2. Shut down the server. Rerun the port script to port any data that has come
    
       in since taking the first snapshot. Restart server against the PostgreSQL
    
       database.
    
    The port script is designed to be run repeatedly against newer snapshots of the
    SQLite database file. This makes it safe to repeat step 1 if there was a delay
    
    between taking the previous snapshot and being ready to do step 2.
    
    
    It is safe to at any time kill the port script and restart it.
    
    Using the port script
    ~~~~~~~~~~~~~~~~~~~~~
    
    Firstly, shut down the currently running synapse server and copy its database
    
    file (typically ``homeserver.db``) to another location. Once the copy is
    complete, restart synapse.  For instance::
    
        ./synctl stop
        cp homeserver.db homeserver.db.snapshot
        ./synctl start
    
    Copy the old config file into a new config file::
    
        cp homeserver.yaml homeserver-postgres.yaml
    
    Edit the database section as described in the section *Synapse config* above
    and with the SQLite snapshot located at ``homeserver.db.snapshot`` simply run::
    
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        synapse_port_db --sqlite-database homeserver.db.snapshot \
    
            --postgres-config homeserver-postgres.yaml
    
    
    The flag ``--curses`` displays a coloured curses progress UI.
    
    If the script took a long time to complete, or time has otherwise passed since
    the original snapshot was taken, repeat the previous steps with a newer
    snapshot.
    
    To complete the conversion shut down the synapse server and run the port
    
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    script one last time, e.g. if the SQLite database is at  ``homeserver.db``
    run::
    
        synapse_port_db --sqlite-database homeserver.db \
    
            --postgres-config homeserver-postgres.yaml
    
    
    Once that has completed, change the synapse config to point at the PostgreSQL
    
    database configuration file ``homeserver-postgres.yaml``::
    
        mv homeserver.yaml homeserver-old-sqlite.yaml
        mv homeserver-postgres.yaml homeserver.yaml
    
        ./synctl start
    
    Synapse should now be running against PostgreSQL.