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# Puma can serve each request in a thread from an internal thread pool.
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# The `threads` method setting takes two numbers: a minimum and maximum.
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# Any libraries that use thread pools should be configured to match
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# the maximum value specified for Puma. Default is set to 5 threads for minimum
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# and maximum; this matches the default thread size of Active Record.
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#
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max_threads_count = ENV.fetch("RAILS_MAX_THREADS", 5)
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min_threads_count = ENV.fetch("RAILS_MIN_THREADS") { max_threads_count }
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threads min_threads_count, max_threads_count
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# 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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# Specifies the `worker_timeout` threshold that Puma will use to wait before
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# terminating a worker in development environments.
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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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worker_timeout 3600 if ENV.fetch("RAILS_ENV", "development") == "development"
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# Specifies the `port` that Puma will listen on to receive requests; default is 3000.
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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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port ENV.fetch("PORT", 3000)
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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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threads_count = ENV.fetch("RAILS_MAX_THREADS", 3)
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threads threads_count, threads_count
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# Specifies the `environment` that Puma will run in.
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#
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environment ENV.fetch("RAILS_ENV") { "development" }
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rails_env = ENV.fetch("RAILS_ENV", "development")
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environment rails_env
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# Specifies the `pidfile` that Puma will use.
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pidfile ENV.fetch("PIDFILE") { "tmp/pids/server.pid" }
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case rails_env
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when "production"
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# If you are running more than 1 thread per process, the workers count
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# should be equal to the number of processors (CPU cores) in production.
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#
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# Automatically detect the number of available processors in production.
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require "concurrent-ruby"
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workers_count = Integer(ENV.fetch("WEB_CONCURRENCY") { Concurrent.available_processor_count })
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workers workers_count if workers_count > 1
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# Specifies the number of `workers` to boot in clustered mode.
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# Workers are forked web server processes. If using threads and workers together
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# the concurrency of the application would be max `threads` * `workers`.
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# Workers do not work on JRuby or Windows (both of which do not support
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# processes).
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#
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# workers ENV.fetch("WEB_CONCURRENCY") { 2 }
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preload_app!
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when "development"
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# Specifies a very generous `worker_timeout` so that the worker
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# isn't killed by Puma when suspended by a debugger.
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worker_timeout 3600
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end
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# Use the `preload_app!` method when specifying a `workers` number.
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# This directive tells Puma to first boot the application and load code
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# before forking the application. This takes advantage of Copy On Write
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# process behavior so workers use less memory.
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#
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# preload_app!
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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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# Only use a pidfile when requested
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pidfile ENV["PIDFILE"] if ENV["PIDFILE"]
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