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