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8f8a1813bf
Fixes the console warning: `` ` WARNING: Detected running cluster mode with 1 worker. Running Puma in cluster mode with a single worker is often a misconfiguration. ! Consider running Puma in single-mode (workers = 0) in order to reduce memory overhead. ```
39 lines
1.5 KiB
Ruby
39 lines
1.5 KiB
Ruby
# 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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# Specifies the `port` that Puma will listen on to receive requests; default is 3000.
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#
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port ENV.fetch('PORT', 3000)
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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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# Specifies the `pidfile` that Puma will use.
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pidfile ENV.fetch('PIDFILE') { 'tmp/pids/server.pid' }
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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', 0)
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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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# Allow puma to be restarted by `rails restart` command.
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plugin :tmp_restart
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