3.5 KiB
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
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
# 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?