我找不到适合Ruby的ThreadPool实现,所以我写了我的(部分基于此处的代码:http://web.archive.org/web/20081204101031/http://snippets.dzone.com:80/posts/show/3276,但改为等待/信号和ThreadPool关闭的其他实现。但是过了一段时间在运行(拥有100个线程并处理大约1300个任务)时,它会在第25行死机 - 它等待那里的新工作。任何想法,为什么会发生?
require 'thread'
begin
require 'fastthread'
rescue LoadError
$stderr.puts "Using the ruby-core thread implementation"
end
class ThreadPool
class Worker
def initialize(callback)
@mutex = Mutex.new
@cv = ConditionVariable.new
@callback = callback
@mutex.synchronize {@running = true}
@thread = Thread.new do
while @mutex.synchronize {@running}
block = get_block
if block
block.call
reset_block
# Signal the ThreadPool that this worker is ready for another job
@callback.signal
else
# Wait for a new job
@mutex.synchronize {@cv.wait(@mutex)} # <=== Is this line 25?
end
end
end
end
def name
@thread.inspect
end
def get_block
@mutex.synchronize {@block}
end
def set_block(block)
@mutex.synchronize do
raise RuntimeError, "Thread already busy." if @block
@block = block
# Signal the thread in this class, that there's a job to be done
@cv.signal
end
end
def reset_block
@mutex.synchronize {@block = nil}
end
def busy?
@mutex.synchronize {!@block.nil?}
end
def stop
@mutex.synchronize {@running = false}
# Signal the thread not to wait for a new job
@cv.signal
@thread.join
end
end
attr_accessor :max_size
def initialize(max_size = 10)
@max_size = max_size
@workers = []
@mutex = Mutex.new
@cv = ConditionVariable.new
end
def size
@mutex.synchronize {@workers.size}
end
def busy?
@mutex.synchronize {@workers.any? {|w| w.busy?}}
end
def shutdown
@mutex.synchronize {@workers.each {|w| w.stop}}
end
alias :join :shutdown
def process(block=nil,&blk)
block = blk if block_given?
while true
@mutex.synchronize do
worker = get_worker
if worker
return worker.set_block(block)
else
# Wait for a free worker
@cv.wait(@mutex)
end
end
end
end
# Used by workers to report ready status
def signal
@cv.signal
end
private
def get_worker
free_worker || create_worker
end
def free_worker
@workers.each {|w| return w unless w.busy?}; nil
end
def create_worker
return nil if @workers.size >= @max_size
worker = Worker.new(self)
@workers << worker
worker
end
end
答案 0 :(得分:10)
好的,所以实现的主要问题是:如何确保没有信号丢失并避免死锁?
根据我的经验,使用条件变量和互斥量很难实现,但使用信号量很容易。事实上,ruby实现了一个名为Queue(或SizedQueue)的对象,可以解决问题。这是我建议的实施:
require 'thread'
begin
require 'fasttread'
rescue LoadError
$stderr.puts "Using the ruby-core thread implementation"
end
class ThreadPool
class Worker
def initialize(thread_queue)
@mutex = Mutex.new
@cv = ConditionVariable.new
@queue = thread_queue
@running = true
@thread = Thread.new do
@mutex.synchronize do
while @running
@cv.wait(@mutex)
block = get_block
if block
@mutex.unlock
block.call
@mutex.lock
reset_block
end
@queue << self
end
end
end
end
def name
@thread.inspect
end
def get_block
@block
end
def set_block(block)
@mutex.synchronize do
raise RuntimeError, "Thread already busy." if @block
@block = block
# Signal the thread in this class, that there's a job to be done
@cv.signal
end
end
def reset_block
@block = nil
end
def busy?
@mutex.synchronize { !@block.nil? }
end
def stop
@mutex.synchronize do
@running = false
@cv.signal
end
@thread.join
end
end
attr_accessor :max_size
def initialize(max_size = 10)
@max_size = max_size
@queue = Queue.new
@workers = []
end
def size
@workers.size
end
def busy?
@queue.size < @workers.size
end
def shutdown
@workers.each { |w| w.stop }
@workers = []
end
alias :join :shutdown
def process(block=nil,&blk)
block = blk if block_given?
worker = get_worker
worker.set_block(block)
end
private
def get_worker
if !@queue.empty? or @workers.size == @max_size
return @queue.pop
else
worker = Worker.new(@queue)
@workers << worker
worker
end
end
end
这是一个简单的测试代码:
tp = ThreadPool.new 500
(1..1000).each { |i| tp.process { (2..10).inject(1) { |memo,val| sleep(0.1); memo*val }; print "Computation #{i} done. Nb of tasks: #{tp.size}\n" } }
tp.shutdown
答案 1 :(得分:8)
您可以尝试work_queue gem,用于协调生产者和工作线程池之间的工作。
答案 2 :(得分:1)
我在这里略有偏见,但我建议用一些过程语言和模型检查它。例如,可自由使用的工具是mCRL2工具集(使用基于ACP的语言),Mobility Workbench(pi-calculus)和Spin(PROMELA)。
否则我建议删除对问题不重要的每一段代码,并找出发生死锁的最小情况。我怀疑它是100个线程和1300个任务对于解决僵局至关重要。对于较小的情况,您可以添加一些调试打印,提供足够的信息来解决问题。
答案 3 :(得分:1)
好的,问题似乎出现在你的ThreadPool#signal方法中。可能发生的事情是:
1 - 你的所有工人都很忙,你试图处理一份新工作
2 - 第90行得到一个零工人
3 - 一个工人被释放并发出信号,但由于ThreadPool没有等待它,信号就会丢失
4 - 即使有一名自由工作人员,你也会排在第95行,等待。
这里的错误是,即使没有人在听,也可以向自由工作者发出信号。这个ThreadPool#signal方法应该是:
def signal
@mutex.synchronize { @cv.signal }
end
并且Worker对象中的问题是相同的。可能会发生的是:
1 - 工人刚刚完成了一份工作
2 - 检查(第17行)是否有作业等待:没有
3 - 线程池发送新作业并发出信号......但信号丢失
4 - 工作人员等待信号,即使它被标记为忙碌
您应该将初始化方法设为:
def initialize(callback)
@mutex = Mutex.new
@cv = ConditionVariable.new
@callback = callback
@mutex.synchronize {@running = true}
@thread = Thread.new do
@mutex.synchronize do
while @running
block = get_block
if block
@mutex.unlock
block.call
@mutex.lock
reset_block
# Signal the ThreadPool that this worker is ready for another job
@callback.signal
else
# Wait for a new job
@cv.wait(@mutex)
end
end
end
end
end
接下来,不应再同步Worker#get_block和Worker#reset_block方法。这样,您就不能在块测试和等待信号之间为工作人员分配块。
答案 4 :(得分:1)
多年来,顶级评论者的代码提供了很多帮助。在这里,它针对ruby 2.x进行了更新,并通过线程识别进行了改进。那有什么改善?当每个线程都有一个ID时,可以用存储任意信息的数组组成ThreadPool。一些想法:
对于这最后两个,不要考虑线程在做工作,而要考虑ThreadPool管理正在工作的子流程。管理任务是轻量级的,并且与关心GIL的子流程结合在一起时。
使用此类,您可以用大约一百行代码来编写基于集群的MapReduce!这段代码很简短,虽然有点让人费解。希望对您有所帮助。
# Usage:
#
# Thread.abort_on_exception = true # help localize errors while debugging
# pool = ThreadPool.new(thread_pool_size)
# 50.times {|i|
# pool.process { ... }
# or
# pool.process {|id| ... } # worker identifies itself as id
# }
# pool.shutdown()
class ThreadPool
require 'thread'
class ThreadPoolWorker
attr_accessor :id
def initialize(thread_queue, id)
@id = id # worker id is exposed thru tp.process {|id| ... }
@mutex = Mutex.new
@cv = ConditionVariable.new
@idle_queue = thread_queue
@running = true
@block = nil
@thread = Thread.new {
@mutex.synchronize {
while @running
@cv.wait(@mutex) # block until there is work to do
if @block
@mutex.unlock
begin
@block.call(@id)
ensure
@mutex.lock
end
@block = nil
end
@idle_queue << self
end
}
}
end
def set_block(block)
@mutex.synchronize {
raise RuntimeError, "Thread is busy." if @block
@block = block
@cv.signal # notify thread in this class, there is work to be done
}
end
def busy?
@mutex.synchronize { ! @block.nil? }
end
def stop
@mutex.synchronize {
@running = false
@cv.signal
}
@thread.join
end
def name
@thread.inspect
end
end
attr_accessor :max_size, :queue
def initialize(max_size = 10)
@process_mutex = Mutex.new
@max_size = max_size
@queue = Queue.new # of idle workers
@workers = [] # array to hold workers
# construct workers
@max_size.times {|i| @workers << ThreadPoolWorker.new(@queue, i) }
# queue up workers (workers in queue are idle and available to
# work). queue blocks if no workers are available.
@max_size.times {|i| @queue << @workers[i] }
sleep 1 # important to give threads a chance to initialize
end
def size
@workers.size
end
def idle
@queue.size
end
# are any threads idle
def busy?
# @queue.size < @workers.size
@queue.size == 0 && @workers.size == @max_size
end
# block until all threads finish
def shutdown
@workers.each {|w| w.stop }
@workers = []
end
alias :join :shutdown
def process(block = nil, &blk)
@process_mutex.synchronize {
block = blk if block_given?
worker = @queue.pop # assign to next worker; block until one is ready
worker.set_block(block) # give code block to worker and tell it to start
}
end
end