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Add Stator tuning notes

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Andrew Godwin 2023-11-13 10:52:22 -07:00
parent 308dd033e1
commit e49bfc4775
2 changed files with 26 additions and 8 deletions
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23
docs/releases/0.10.rst
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@ -37,10 +37,10 @@ Minor changes also include:
* Python 3.11 is now the minimum version required; this will not affect you at * Python 3.11 is now the minimum version required; this will not affect you at
all if you run Takahē via our docker image, as is recommended. all if you run Takahē via our docker image, as is recommended.
A remote post pruning system, to shrink the database of old data that was no An automatic remote post pruning system, to shrink the database of old data
longer needed, was in the development version but has been removed in this that was no longer needed, was in the development version but has been switched
release due to the extra database load it caused. An alternative approach to to a set of manual commands as of 0.10.1 - you can read more below or in
this will hopefully land in a future release. :doc:`/tuning`.
If you'd like to help with code, design, or other areas, see If you'd like to help with code, design, or other areas, see
:doc:`/contributing` to see how to get in touch. :doc:`/contributing` to see how to get in touch.
@ -62,6 +62,11 @@ This is a bugfix and small feature addition release:
pruning (deletion of old content) of Posts and Identities respectively. pruning (deletion of old content) of Posts and Identities respectively.
You can read more about them in :doc:`/tuning`. You can read more about them in :doc:`/tuning`.
* Stator's default concurrency levels have been significantly reduced as it's
now way more efficient at using individual database connections, but as a
result it places way more load on them. You can read more about tuning this
in :doc:`/tuning`.
Upgrade Notes Upgrade Notes
------------- -------------
@ -79,3 +84,13 @@ We recommend:
* Temporarily stopping all instances of the webserver and Stator * Temporarily stopping all instances of the webserver and Stator
* Applying the migration (should be less than a few minutes on most installs) * Applying the migration (should be less than a few minutes on most installs)
* Restarting the instances of webserver and Stator * Restarting the instances of webserver and Stator
Stator
~~~~~~
Stator's new internal architecture allocates a worker thread and a database
connection up to its concurrency value; this means it is a _lot_ more efficient
for a given "concurrency" number than the old system and also uses a lot more
database connections. We recommend you reduce your configuration values for
these by 5-10x; if you didn't set them manually, then don't worry, we've
reduced the default values by a similar amount.

11
docs/tuning.rst
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@ -56,10 +56,13 @@ Stator (Task Processing)
Takahē's background task processing system is called Stator, and it uses Takahē's background task processing system is called Stator, and it uses
asynchronous Python to pack loads of tasks at once time into a single process. asynchronous Python to pack loads of tasks at once time into a single process.
By default, it will try to run up to 100 tasks at once, with a maximum of 40 By default, it will try to run up to 20 tasks at once, with a maximum of 4 from
from any single model (FanOut will usually be the one it's doing most of). any single model (FanOut will usually be the one it's doing most of). You can
You can tweak these with the ``TAKAHE_STATOR_CONCURRENCY`` and tweak these with the ``TAKAHE_STATOR_CONCURRENCY`` and
``TAKAHE_STATOR_CONCURRENCY_PER_MODEL`` environment variables. ``TAKAHE_STATOR_CONCURRENCY_PER_MODEL`` environment variables; for every extra
element of concurrency you add, however, it will use an additional database
connection in a new worker thread. Be wary of hitting your database's
connection limits.
The only real limits Stator can hit are CPU and memory usage; if you see your The only real limits Stator can hit are CPU and memory usage; if you see your
Stator (worker) containers not using anywhere near all of their CPU or memory, Stator (worker) containers not using anywhere near all of their CPU or memory,