mirror of
https://github.com/jcwimer/wrestlingApp
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109 lines
4.5 KiB
Ruby
109 lines
4.5 KiB
Ruby
# This configuration file will be evaluated by Puma. The top-level methods that
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# are invoked here are part of Puma's configuration DSL. For more information
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# about methods provided by the DSL, see https://puma.io/puma/Puma/DSL.html.
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#
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# Puma starts a configurable number of processes (workers) and each process
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# serves each request in a thread from an internal thread pool.
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#
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# You can control the number of workers using ENV["WEB_CONCURRENCY"]. You
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# should only set this value when you want to run 2 or more workers. The
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# default is already 1.
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#
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# The ideal number of threads per worker depends both on how much time the
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# application spends waiting for IO operations and on how much you wish to
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# prioritize throughput over latency.
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#
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# As a rule of thumb, increasing the number of threads will increase how much
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# traffic a given process can handle (throughput), but due to CRuby's
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# Global VM Lock (GVL) it has diminishing returns and will degrade the
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# response time (latency) of the application.
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#
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# The default is set to 3 threads as it's deemed a decent compromise between
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# throughput and latency for the average Rails application.
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#
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# Any libraries that use a connection pool or another resource pool should
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# be configured to provide at least as many connections as the number of
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# threads. This includes Active Record's `pool` parameter in `database.yml`.
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# Calculate available memory for Ruby process sizing (in MB)
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available_memory_mb = if RUBY_PLATFORM =~ /darwin/
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# Default to a reasonable amount on macOS where memory detection is difficult
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8192 # 8GB default
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else
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begin
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# Try to get memory from /proc/meminfo on Linux
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mem_total_kb = `grep MemTotal /proc/meminfo`.to_s.strip.split(/\s+/)[1].to_i
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mem_total_mb = mem_total_kb / 1024
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# If we couldn't detect memory, use a safe default
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mem_total_mb > 0 ? mem_total_mb : 4096
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rescue
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4096 # 4GB fallback if detection fails
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end
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end
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# Calculate workers based on available CPUs and memory
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# Each worker uses ~300-500MB of RAM, so we scale based on available memory
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# If WEB_CONCURRENCY is set, use that value instead
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cpu_count = begin
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require 'etc'
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Etc.nprocessors
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rescue
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2 # Default to 2 if we can't detect
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end
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# Default worker calculation:
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# - With ample memory: Use CPU count
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# - With limited memory: Use memory-based calculation with a min of 2 and max based on CPUs
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# This automatically adapts to the environment
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default_workers = if ENV["RAILS_ENV"] == "development"
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1 # Use 1 worker in development for simplicity
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else
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# Calculate based on available memory, assuming ~400MB per worker
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memory_based_workers = (available_memory_mb / 400).to_i
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# Ensure at least 2 workers for production (for zero-downtime restarts)
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# and cap at CPU count to avoid excessive context switching
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[memory_based_workers, 2].max
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end
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default_workers = [default_workers, cpu_count].min
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workers_count = ENV.fetch("WEB_CONCURRENCY") { default_workers }
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# Configure thread count for optimal throughput
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# More threads = better for IO-bound applications
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# Fewer threads = better for CPU-bound applications
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min_threads_count = ENV.fetch("RAILS_MIN_THREADS", 5)
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max_threads_count = ENV.fetch("RAILS_MAX_THREADS", 12)
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threads min_threads_count, max_threads_count
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# Specifies the `port` that Puma will listen on to receive requests; default is 3000.
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port ENV.fetch("PORT", 3000)
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# Allow puma to be restarted by `bin/rails restart` command.
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plugin :tmp_restart
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# Run the Solid Queue supervisor inside of Puma for single-server deployments
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# Enable by default in development for convenience, can be disabled with SOLID_QUEUE_IN_PUMA=false
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if (Rails.env.development? && ENV["SOLID_QUEUE_IN_PUMA"] != "false") || ENV["SOLID_QUEUE_IN_PUMA"] == "true"
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plugin :solid_queue
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end
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# Specify the PID file. Defaults to tmp/pids/server.pid in development.
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# In other environments, only set the PID file if requested.
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pidfile ENV["PIDFILE"] if ENV["PIDFILE"]
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# Set reasonable timeouts - these prevent hanging requests from consuming resources
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worker_timeout 60
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worker_boot_timeout 60
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# Preload the application to reduce memory footprint in production
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preload_app! if ENV["RAILS_ENV"] == "production"
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# When using preload_app, ensure that connections are properly handled
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on_worker_boot do
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ActiveRecord::Base.establish_connection if defined?(ActiveRecord)
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end
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# Log the configuration
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puts "Puma starting with #{workers_count} worker(s), #{min_threads_count}-#{max_threads_count} threads per worker"
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puts "Available system resources: #{cpu_count} CPU(s), #{available_memory_mb}MB RAM"
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