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247 lines
8.3 KiB
Markdown
247 lines
8.3 KiB
Markdown
# Using Postgres
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Postgres version 9.5 or later is known to work.
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## Install postgres client libraries
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Synapse will require the python postgres client library in order to
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connect to a postgres database.
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- If you are using the [matrix.org debian/ubuntu
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packages](../INSTALL.md#matrixorg-packages), the necessary python
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library will already be installed, but you will need to ensure the
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low-level postgres library is installed, which you can do with
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`apt install libpq5`.
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- For other pre-built packages, please consult the documentation from
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the relevant package.
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- If you installed synapse [in a
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virtualenv](../INSTALL.md#installing-from-source), you can install
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the library with:
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~/synapse/env/bin/pip install matrix-synapse[postgres]
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(substituting the path to your virtualenv for `~/synapse/env`, if
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you used a different path). You will require the postgres
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development files. These are in the `libpq-dev` package on
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Debian-derived distributions.
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## Set up database
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Assuming your PostgreSQL database user is called `postgres`, first authenticate as the database user with:
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su - postgres
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# Or, if your system uses sudo to get administrative rights
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sudo -u postgres bash
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Then, create a user ``synapse_user`` with:
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createuser --pwprompt synapse_user
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Before you can authenticate with the `synapse_user`, you must create a
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database that it can access. To create a database, first connect to the
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database with your database user:
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su - postgres # Or: sudo -u postgres bash
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psql
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and then run:
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CREATE DATABASE synapse
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ENCODING 'UTF8'
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LC_COLLATE='C'
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LC_CTYPE='C'
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template=template0
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OWNER synapse_user;
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This would create an appropriate database named `synapse` owned by the
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`synapse_user` user (which must already have been created as above).
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Note that the PostgreSQL database *must* have the correct encoding set
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(as shown above), otherwise it will not be able to store UTF8 strings.
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You may need to enable password authentication so `synapse_user` can
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connect to the database. See
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<https://www.postgresql.org/docs/current/auth-pg-hba-conf.html>.
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If you get an error along the lines of `FATAL: Ident authentication failed for
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user "synapse_user"`, you may need to use an authentication method other than
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`ident`:
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* If the `synapse_user` user has a password, add the password to the `database:`
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section of `homeserver.yaml`. Then add the following to `pg_hba.conf`:
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```
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host synapse synapse_user ::1/128 md5 # or `scram-sha-256` instead of `md5` if you use that
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```
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* If the `synapse_user` user does not have a password, then a password doesn't
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have to be added to `homeserver.yaml`. But the following does need to be added
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to `pg_hba.conf`:
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```
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host synapse synapse_user ::1/128 trust
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```
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Note that line order matters in `pg_hba.conf`, so make sure that if you do add a
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new line, it is inserted before:
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```
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host all all ::1/128 ident
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```
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### Fixing incorrect `COLLATE` or `CTYPE`
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Synapse will refuse to set up a new database if it has the wrong values of
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`COLLATE` and `CTYPE` set, and will log warnings on existing databases. Using
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different locales can cause issues if the locale library is updated from
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underneath the database, or if a different version of the locale is used on any
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replicas.
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The safest way to fix the issue is to take a dump and recreate the database with
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the correct `COLLATE` and `CTYPE` parameters (as shown above). It is also possible to change the
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parameters on a live database and run a `REINDEX` on the entire database,
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however extreme care must be taken to avoid database corruption.
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Note that the above may fail with an error about duplicate rows if corruption
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has already occurred, and such duplicate rows will need to be manually removed.
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## Fixing inconsistent sequences error
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Synapse uses Postgres sequences to generate IDs for various tables. A sequence
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and associated table can get out of sync if, for example, Synapse has been
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downgraded and then upgraded again.
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To fix the issue shut down Synapse (including any and all workers) and run the
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SQL command included in the error message. Once done Synapse should start
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successfully.
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## Tuning Postgres
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The default settings should be fine for most deployments. For larger
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scale deployments tuning some of the settings is recommended, details of
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which can be found at
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<https://wiki.postgresql.org/wiki/Tuning_Your_PostgreSQL_Server>.
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In particular, we've found tuning the following values helpful for
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performance:
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- `shared_buffers`
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- `effective_cache_size`
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- `work_mem`
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- `maintenance_work_mem`
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- `autovacuum_work_mem`
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Note that the appropriate values for those fields depend on the amount
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of free memory the database host has available.
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## Synapse config
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When you are ready to start using PostgreSQL, edit the `database`
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section in your config file to match the following lines:
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```yaml
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database:
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name: psycopg2
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args:
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user: <user>
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password: <pass>
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database: <db>
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host: <host>
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cp_min: 5
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cp_max: 10
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```
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All key, values in `args` are passed to the `psycopg2.connect(..)`
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function, except keys beginning with `cp_`, which are consumed by the
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twisted adbapi connection pool. See the [libpq
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documentation](https://www.postgresql.org/docs/current/libpq-connect.html#LIBPQ-PARAMKEYWORDS)
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for a list of options which can be passed.
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You should consider tuning the `args.keepalives_*` options if there is any danger of
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the connection between your homeserver and database dropping, otherwise Synapse
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may block for an extended period while it waits for a response from the
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database server. Example values might be:
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```yaml
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# seconds of inactivity after which TCP should send a keepalive message to the server
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keepalives_idle: 10
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# the number of seconds after which a TCP keepalive message that is not
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# acknowledged by the server should be retransmitted
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keepalives_interval: 10
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# the number of TCP keepalives that can be lost before the client's connection
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# to the server is considered dead
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keepalives_count: 3
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```
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## Porting from SQLite
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### Overview
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The script `synapse_port_db` allows porting an existing synapse server
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backed by SQLite to using PostgreSQL. This is done in as a two phase
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process:
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1. Copy the existing SQLite database to a separate location (while the
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server is down) and running the port script against that offline
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database.
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2. Shut down the server. Rerun the port script to port any data that
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has come in since taking the first snapshot. Restart server against
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the PostgreSQL database.
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The port script is designed to be run repeatedly against newer snapshots
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of the SQLite database file. This makes it safe to repeat step 1 if
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there was a delay between taking the previous snapshot and being ready
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to do step 2.
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It is safe to at any time kill the port script and restart it.
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Note that the database may take up significantly more (25% - 100% more)
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space on disk after porting to Postgres.
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### Using the port script
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Firstly, shut down the currently running synapse server and copy its
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database file (typically `homeserver.db`) to another location. Once the
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copy is complete, restart synapse. For instance:
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./synctl stop
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cp homeserver.db homeserver.db.snapshot
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./synctl start
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Copy the old config file into a new config file:
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cp homeserver.yaml homeserver-postgres.yaml
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Edit the database section as described in the section *Synapse config*
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above and with the SQLite snapshot located at `homeserver.db.snapshot`
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simply run:
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synapse_port_db --sqlite-database homeserver.db.snapshot \
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--postgres-config homeserver-postgres.yaml
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The flag `--curses` displays a coloured curses progress UI.
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If the script took a long time to complete, or time has otherwise passed
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since the original snapshot was taken, repeat the previous steps with a
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newer snapshot.
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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`
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run:
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synapse_port_db --sqlite-database homeserver.db \
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--postgres-config homeserver-postgres.yaml
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Once that has completed, change the synapse config to point at the
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PostgreSQL database configuration file `homeserver-postgres.yaml`:
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./synctl stop
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mv homeserver.yaml homeserver-old-sqlite.yaml
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mv homeserver-postgres.yaml homeserver.yaml
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./synctl start
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Synapse should now be running against PostgreSQL.
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