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Detailed request loggers can be used to gather rich timing info from all requests (which in turn can be forwarded to monitoring solution) Middleware::RequestTracker.detailed_request_logger(->|env, data| do # do stuff with env and data end
44 lines
1.3 KiB
Ruby
44 lines
1.3 KiB
Ruby
# see https://samsaffron.com/archive/2017/10/18/fastest-way-to-profile-a-method-in-ruby
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class MethodProfiler
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def self.patch(klass, methods, name)
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patches = methods.map do |method_name|
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<<~RUBY
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unless defined?(#{method_name}__mp_unpatched)
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alias_method :#{method_name}__mp_unpatched, :#{method_name}
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def #{method_name}(*args, &blk)
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unless prof = Thread.current[:_method_profiler]
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return #{method_name}__mp_unpatched(*args, &blk)
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end
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begin
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start = Process.clock_gettime(Process::CLOCK_MONOTONIC)
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#{method_name}__mp_unpatched(*args, &blk)
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ensure
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data = (prof[:#{name}] ||= {duration: 0.0, calls: 0})
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data[:duration] += Process.clock_gettime(Process::CLOCK_MONOTONIC) - start
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data[:calls] += 1
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end
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end
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end
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RUBY
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end.join("\n")
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klass.class_eval patches
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end
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def self.start
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Thread.current[:_method_profiler] = {
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__start: Process.clock_gettime(Process::CLOCK_MONOTONIC)
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}
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end
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def self.stop
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finish = Process.clock_gettime(Process::CLOCK_MONOTONIC)
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if data = Thread.current[:_method_profiler]
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Thread.current[:_method_profiler] = nil
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start = data.delete(:__start)
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data[:total_duration] = finish - start
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end
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data
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end
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end
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