Merge pull request #4276 from Ralith/performance-advice

Improve advice regarding poor performance
This commit is contained in:
Richard van der Hoff 2019-06-18 23:29:58 +01:00 committed by GitHub
commit 8fcd2ca907
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
3 changed files with 29 additions and 7 deletions

View File

@ -72,3 +72,6 @@ Jason Robinson <jasonr at matrix.org>
Joseph Weston <joseph at weston.cloud>
+ Add admin API for querying HS version
Benjamin Saunders <ben.e.saunders at gmail dot com>
* Documentation improvements

View File

@ -340,8 +340,11 @@ log lines and looking for any 'Processed request' lines which take more than
a few seconds to execute. Please let us know at #synapse:matrix.org if
you see this failure mode so we can help debug it, however.
Help!! Synapse eats all my RAM!
-------------------------------
Help!! Synapse is slow and eats all my RAM/CPU!
-----------------------------------------------
First, ensure you are running the latest version of Synapse, using Python 3
with a PostgreSQL database.
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
@ -352,14 +355,29 @@ variable. The default is 0.5, which can be decreased to reduce RAM usage
in memory constrained enviroments, or increased if performance starts to
degrade.
However, degraded performance due to a low cache factor, common on
machines with slow disks, often leads to explosions in memory use due
backlogged requests. In this case, reducing the cache factor will make
things worse. Instead, try increasing it drastically. 2.0 is a good
starting value.
Using `libjemalloc <http://jemalloc.net/>`_ can also yield a significant
improvement in overall amount, and especially in terms of giving back RAM
to the OS. To use it, the library must simply be put in the LD_PRELOAD
environment variable when launching Synapse. On Debian, this can be done
by installing the ``libjemalloc1`` package and adding this line to
``/etc/default/matrix-synapse``::
improvement in overall memory use, and especially in terms of giving back
RAM to the OS. To use it, the library must simply be put in the
LD_PRELOAD environment variable when launching Synapse. On Debian, this
can be done by installing the ``libjemalloc1`` package and adding this
line to ``/etc/default/matrix-synapse``::
LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so.1
This can make a significant difference on Python 2.7 - it's unclear how
much of an improvement it provides on Python 3.x.
If you're encountering high CPU use by the Synapse process itself, you
may be affected by a bug with presence tracking that leads to a
massive excess of outgoing federation requests (see `discussion
<https://github.com/matrix-org/synapse/issues/3971>`_). If metrics
indicate that your server is also issuing far more outgoing federation
requests than can be accounted for by your users' activity, this is a
likely cause. The misbehavior can be worked around by setting
``use_presence: false`` in the Synapse config file.

1
changelog.d/4276.misc Normal file
View File

@ -0,0 +1 @@
Improve README section on performance troubleshooting.