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38
develop/print.html
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@ -3920,14 +3920,32 @@ with intermittent connections, at the cost of higher memory usage.
By default, this is zero, which means that sync responses are not cached
at all.</p>
</li>
<li>
<p><code>cache_autotuning</code> and its sub-options <code>max_cache_memory_usage</code>, <code>target_cache_memory_usage</code>, and
<code>min_cache_ttl</code> work in conjunction with each other to maintain a balance between cache memory
usage and cache entry availability. You must be using <a href="https://github.com/matrix-org/synapse#help-synapse-is-slow-and-eats-all-my-ramcpu">jemalloc</a>
to utilize this option, and all three of the options must be specified for this feature to work.</p>
<ul>
<li><code>max_cache_memory_usage</code> sets a ceiling on how much memory the cache can use before caches begin to be continuously evicted.
They will continue to be evicted until the memory usage drops below the <code>target_memory_usage</code>, set in
the flag below, or until the <code>min_cache_ttl</code> is hit.</li>
<li><code>target_memory_usage</code> sets a rough target for the desired memory usage of the caches.</li>
<li><code>min_cache_ttl</code> sets a limit under which newer cache entries are not evicted and is only applied when
caches are actively being evicted/<code>max_cache_memory_usage</code> has been exceeded. This is to protect hot caches
from being emptied while Synapse is evicting due to memory.</li>
</ul>
</li>
</ul>
<p>Example configuration:</p>
<pre><code class="language-yaml">caches:
global_factor: 1.0
per_cache_factors:
get_users_who_share_room_with_user: 2.0
expire_caches: false
sync_response_cache_duration: 2m
cache_autotuning:
max_cache_memory_usage: 1024M
target_cache_memory_usage: 758M
min_cache_ttl: 5m
</code></pre>
<h3 id="reloading-cache-factors"><a class="header" href="#reloading-cache-factors">Reloading cache factors</a></h3>
<p>The cache factors (i.e. <code>caches.global_factor</code> and <code>caches.per_cache_factors</code>) may be reloaded at any time by sending a
@ -6792,6 +6810,24 @@ caches:
#
#cache_entry_ttl: 30m
# This flag enables cache autotuning, and is further specified by the sub-options `max_cache_memory_usage`,
# `target_cache_memory_usage`, `min_cache_ttl`. These flags work in conjunction with each other to maintain
# a balance between cache memory usage and cache entry availability. You must be using jemalloc to utilize
# this option, and all three of the options must be specified for this feature to work.
#cache_autotuning:
# This flag sets a ceiling on much memory the cache can use before caches begin to be continuously evicted.
# They will continue to be evicted until the memory usage drops below the `target_memory_usage`, set in
# the flag below, or until the `min_cache_ttl` is hit.
#max_cache_memory_usage: 1024M
# This flag sets a rough target for the desired memory usage of the caches.
#target_cache_memory_usage: 758M
# 'min_cache_ttl` sets a limit under which newer cache entries are not evicted and is only applied when
# caches are actively being evicted/`max_cache_memory_usage` has been exceeded. This is to protect hot caches
# from being emptied while Synapse is evicting due to memory.
#min_cache_ttl: 5m
# Controls how long the results of a /sync request are cached for after
# a successful response is returned. A higher duration can help clients with
# intermittent connections, at the cost of higher memory usage.

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develop/sample_config.yaml
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@ -784,6 +784,24 @@ caches:
#
#cache_entry_ttl: 30m
# This flag enables cache autotuning, and is further specified by the sub-options `max_cache_memory_usage`,
# `target_cache_memory_usage`, `min_cache_ttl`. These flags work in conjunction with each other to maintain
# a balance between cache memory usage and cache entry availability. You must be using jemalloc to utilize
# this option, and all three of the options must be specified for this feature to work.
#cache_autotuning:
# This flag sets a ceiling on much memory the cache can use before caches begin to be continuously evicted.
# They will continue to be evicted until the memory usage drops below the `target_memory_usage`, set in
# the flag below, or until the `min_cache_ttl` is hit.
#max_cache_memory_usage: 1024M
# This flag sets a rough target for the desired memory usage of the caches.
#target_cache_memory_usage: 758M
# 'min_cache_ttl` sets a limit under which newer cache entries are not evicted and is only applied when
# caches are actively being evicted/`max_cache_memory_usage` has been exceeded. This is to protect hot caches
# from being emptied while Synapse is evicting due to memory.
#min_cache_ttl: 5m
# Controls how long the results of a /sync request are cached for after
# a successful response is returned. A higher duration can help clients with
# intermittent connections, at the cost of higher memory usage.

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develop/usage/configuration/config_documentation.html
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@ -1049,14 +1049,32 @@ with intermittent connections, at the cost of higher memory usage.
By default, this is zero, which means that sync responses are not cached
at all.</p>
</li>
<li>
<p><code>cache_autotuning</code> and its sub-options <code>max_cache_memory_usage</code>, <code>target_cache_memory_usage</code>, and
<code>min_cache_ttl</code> work in conjunction with each other to maintain a balance between cache memory
usage and cache entry availability. You must be using <a href="https://github.com/matrix-org/synapse#help-synapse-is-slow-and-eats-all-my-ramcpu">jemalloc</a>
to utilize this option, and all three of the options must be specified for this feature to work.</p>
<ul>
<li><code>max_cache_memory_usage</code> sets a ceiling on how much memory the cache can use before caches begin to be continuously evicted.
They will continue to be evicted until the memory usage drops below the <code>target_memory_usage</code>, set in
the flag below, or until the <code>min_cache_ttl</code> is hit.</li>
<li><code>target_memory_usage</code> sets a rough target for the desired memory usage of the caches.</li>
<li><code>min_cache_ttl</code> sets a limit under which newer cache entries are not evicted and is only applied when
caches are actively being evicted/<code>max_cache_memory_usage</code> has been exceeded. This is to protect hot caches
from being emptied while Synapse is evicting due to memory.</li>
</ul>
</li>
</ul>
<p>Example configuration:</p>
<pre><code class="language-yaml">caches:
global_factor: 1.0
per_cache_factors:
get_users_who_share_room_with_user: 2.0
expire_caches: false
sync_response_cache_duration: 2m
cache_autotuning:
max_cache_memory_usage: 1024M
target_cache_memory_usage: 758M
min_cache_ttl: 5m
</code></pre>
<h3 id="reloading-cache-factors"><a class="header" href="#reloading-cache-factors">Reloading cache factors</a></h3>
<p>The cache factors (i.e. <code>caches.global_factor</code> and <code>caches.per_cache_factors</code>) may be reloaded at any time by sending a

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@ -940,6 +940,24 @@ caches:
#
#cache_entry_ttl: 30m
# This flag enables cache autotuning, and is further specified by the sub-options `max_cache_memory_usage`,
# `target_cache_memory_usage`, `min_cache_ttl`. These flags work in conjunction with each other to maintain
# a balance between cache memory usage and cache entry availability. You must be using jemalloc to utilize
# this option, and all three of the options must be specified for this feature to work.
#cache_autotuning:
# This flag sets a ceiling on much memory the cache can use before caches begin to be continuously evicted.
# They will continue to be evicted until the memory usage drops below the `target_memory_usage`, set in
# the flag below, or until the `min_cache_ttl` is hit.
#max_cache_memory_usage: 1024M
# This flag sets a rough target for the desired memory usage of the caches.
#target_cache_memory_usage: 758M
# 'min_cache_ttl` sets a limit under which newer cache entries are not evicted and is only applied when
# caches are actively being evicted/`max_cache_memory_usage` has been exceeded. This is to protect hot caches
# from being emptied while Synapse is evicting due to memory.
#min_cache_ttl: 5m
# Controls how long the results of a /sync request are cached for after
# a successful response is returned. A higher duration can help clients with
# intermittent connections, at the cost of higher memory usage.