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Diffstat (limited to 'README.rst')
| -rw-r--r-- | README.rst | 40 |
1 files changed, 38 insertions, 2 deletions
diff --git a/README.rst b/README.rst index 39a338c790..285fc5aa8a 100644 --- a/README.rst +++ b/README.rst @@ -525,7 +525,6 @@ Logging In To An Existing Account Just enter the ``@localpart:my.domain.here`` Matrix user ID and password into the form and click the Login button. - Identity Servers ================ @@ -545,6 +544,26 @@ as the primary means of identity and E2E encryption is not complete. As such, we are running a single identity server (https://matrix.org) at the current time. +Password reset +============== + +If a user has registered an email address to their account using an identity +server, they can request a password-reset token via clients such as Vector. + +A manual password reset can be done via direct database access as follows. + +First calculate the hash of the new password: + + $ source ~/.synapse/bin/activate + $ ./scripts/hash_password + Password: + Confirm password: + $2a$12$xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx + +Then update the `users` table in the database: + + UPDATE users SET password_hash='$2a$12$xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx' + WHERE name='@test:test.com'; Where's the spec?! ================== @@ -565,4 +584,21 @@ sphinxcontrib-napoleon:: Building internal API documentation:: python setup.py build_sphinx - \ No newline at end of file + + + +Halp!! Synapse eats all my RAM! +=============================== + +Synapse's architecture is quite RAM hungry currently - we deliberately +cache a lot of recent room data and metadata in RAM in order to speed up +common requests. We'll improve this in future, but for now the easiest +way to either reduce the RAM usage (at the risk of slowing things down) +is to set the almost-undocumented ``SYNAPSE_CACHE_FACTOR`` environment +variable. Roughly speaking, a SYNAPSE_CACHE_FACTOR of 1.0 will max out +at around 3-4GB of resident memory - this is what we currently run the +matrix.org on. The default setting is currently 0.1, which is probably +around a ~700MB footprint. You can dial it down further to 0.02 if +desired, which targets roughly ~512MB. Conversely you can dial it up if +you need performance for lots of users and have a box with a lot of RAM. + |