[![Gem Version][gemv-img]][gemv] [![Build Status][travis-img]][travis] [![Dependency Status][gemnasium-img]][gemnasium] [![Code Climate][codeclimate-img]][codeclimate] [gemv]: https://rubygems.org/gems/process_shared [gemv-img]: https://badge.fury.io/rb/process_shared.png [travis]: https://travis-ci.org/pmahoney/process_shared [travis-img]: https://travis-ci.org/pmahoney/process_shared.png [gemnasium]: https://gemnasium.com/pmahoney/process_shared [gemnasium-img]: https://gemnasium.com/pmahoney/process_shared.png [codeclimate]: https://codeclimate.com/github/pmahoney/process_shared [codeclimate-img]: https://codeclimate.com/github/pmahoney/process_shared.png process_shared ============== Concurrency primitives that may be used in a cross-process way to coordinate share memory between processes. FFI is used to access POSIX semaphore on Linux or Mach semaphores on Mac. Atop these semaphores are implemented ProcessShared::Semaphore, ProcessShared::Mutex. POSIX shared memory is used to implement ProcessShared::SharedMemory. On Linux, POSIX semaphores support `sem_timedwait()` which can wait on a semaphore but stop waiting after a timeout. Mac OS X's implementation of POSIX semaphores does not support timeouts. But, the Mach layer in Mac OS X has its own semaphores that do support timeouts. Thus, process_shared implements a moderate subset of the Mach API, which is quite a bit different from POSIX. Namely, semaphores created in one process are not available in child processes created via `fork()`. Mach does provide the means to copy capabilities between tasks (Mach equivalent to processes). process_shared overrides Ruby's `fork` methods so that semaphores are copied from parent to child to emulate the POSIX behavior. This is an incomplete work in progress. License ------- MIT Install ------- Install the gem with: gem install process_shared Usage ----- ```ruby require 'process_shared' mutex = ProcessShared::Mutex.new mem = ProcessShared::SharedMemory.new(:int) # extends FFI::Pointer mem.put_int(0, 0) pid1 = fork do puts "in process 1 (#{Process.pid})" 10.times do sleep 0.01 mutex.synchronize do value = mem.get_int(0) sleep 0.01 puts "process 1 (#{Process.pid}) incrementing" mem.put_int(0, value + 1) end end end pid2 = fork do puts "in process 2 (#{Process.pid})" 10.times do sleep 0.01 mutex.synchronize do value = mem.get_int(0) sleep 0.01 puts "process 2 (#{Process.pid}) decrementing" mem.put_int(0, value - 1) end end end Process.wait(pid1) Process.wait(pid2) puts "value should be zero: #{mem.get_int(0)}" ``` Transfer Objects Across Processes --------------------------------- ```ruby # allocate a sufficient memory block mem = ProcessShared::SharedMemory.new(1024) # sub process can write (serialize) object to memory (with bounds checking) pid = fork do mem.write_object(['a', 'b']) end Process.wait(pid) # parent process can read the object back (synchronizing access # with a Mutex left as an excercie to reader) mem.read_object.must_equal ['a', 'b'] ``` Todo ---- * Test ConditionVariable * Implement optional override of core Thread/Mutex classes * Extend to win32? (See Python's processing library) * Add finalizer to Mutex? (finalizer on Semaphore objects may be enough) or a method to explicitly close and release resources? * Test semantics of crashing processes who still hold locks, etc. * Is SharedArray with Enumerable mixing sufficient Array-like interface?