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Add Stator tuning notes
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@ -37,10 +37,10 @@ Minor changes also include:
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* Python 3.11 is now the minimum version required; this will not affect you at
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all if you run Takahē via our docker image, as is recommended.
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A remote post pruning system, to shrink the database of old data that was no
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longer needed, was in the development version but has been removed in this
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release due to the extra database load it caused. An alternative approach to
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this will hopefully land in a future release.
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An automatic remote post pruning system, to shrink the database of old data
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that was no longer needed, was in the development version but has been switched
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to a set of manual commands as of 0.10.1 - you can read more below or in
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:doc:`/tuning`.
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If you'd like to help with code, design, or other areas, see
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:doc:`/contributing` to see how to get in touch.
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@ -62,6 +62,11 @@ This is a bugfix and small feature addition release:
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pruning (deletion of old content) of Posts and Identities respectively.
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You can read more about them in :doc:`/tuning`.
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* Stator's default concurrency levels have been significantly reduced as it's
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now way more efficient at using individual database connections, but as a
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result it places way more load on them. You can read more about tuning this
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in :doc:`/tuning`.
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Upgrade Notes
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-------------
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@ -79,3 +84,13 @@ We recommend:
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* Temporarily stopping all instances of the webserver and Stator
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* Applying the migration (should be less than a few minutes on most installs)
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* Restarting the instances of webserver and Stator
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Stator
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~~~~~~
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Stator's new internal architecture allocates a worker thread and a database
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connection up to its concurrency value; this means it is a _lot_ more efficient
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for a given "concurrency" number than the old system and also uses a lot more
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database connections. We recommend you reduce your configuration values for
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these by 5-10x; if you didn't set them manually, then don't worry, we've
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reduced the default values by a similar amount.
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@ -56,10 +56,13 @@ Stator (Task Processing)
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Takahē's background task processing system is called Stator, and it uses
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asynchronous Python to pack loads of tasks at once time into a single process.
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By default, it will try to run up to 100 tasks at once, with a maximum of 40
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from any single model (FanOut will usually be the one it's doing most of).
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You can tweak these with the ``TAKAHE_STATOR_CONCURRENCY`` and
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``TAKAHE_STATOR_CONCURRENCY_PER_MODEL`` environment variables.
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By default, it will try to run up to 20 tasks at once, with a maximum of 4 from
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any single model (FanOut will usually be the one it's doing most of). You can
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tweak these with the ``TAKAHE_STATOR_CONCURRENCY`` and
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``TAKAHE_STATOR_CONCURRENCY_PER_MODEL`` environment variables; for every extra
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element of concurrency you add, however, it will use an additional database
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connection in a new worker thread. Be wary of hitting your database's
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connection limits.
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The only real limits Stator can hit are CPU and memory usage; if you see your
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Stator (worker) containers not using anywhere near all of their CPU or memory,
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