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Added introduction and PostgreSQL warning.
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@ -3,7 +3,7 @@ gitea: none
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include_toc: true
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include_toc: true
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---
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---
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# Worker-based setup
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# Introduction to a worker-based setup
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Very busy servers are brought down because a single thread can't keep up with
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Very busy servers are brought down because a single thread can't keep up with
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the load. So you want to create several threads for different types of work.
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the load. So you want to create several threads for different types of work.
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@ -22,6 +22,27 @@ freeze the rest.
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Workers communicate with each other via socket files and Redis.
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Workers communicate with each other via socket files and Redis.
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**Important note**
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While the use of workers can drastically improve speed, the law of diminished
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returns applies. Splitting off more and more workers will not further improve
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speed after a certain point. Plus: you need to understand what the most
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resource-consuming tasks are before you can start to plan how many workers for
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what tasks you need.
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In this document we'll basically create a worker for every task, and several
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workers for a few heavy tasks, as an example. You mileage may not only vary, it
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will.
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Tuning the rest of the machine and network also counts, especially PostgreSQL.
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A well-tuned PostgreSQL can make a really big difference and should probably
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be considered even before configuring workers.
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With workers, PostgreSQL's configuration should be changed accordingly: see
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[Tuning PostgreSQL for a Matrix Synapse
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server](https://tcpipuk.github.io/postgres/tuning/index.html) for hints and
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examples.
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# Redis
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# Redis
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