Ruby – Multithreading

  • Post author:
  • Post category:Ruby
  • Post comments:0 Comments

Traditional programs have a single thread of execution the statements or instructions that comprise the program are executed sequentially until the program terminates.

A multithreaded program has more than one thread of execution. Within each thread, statements are executed sequentially, but the threads themselves may be executed in parallel on a multicore CPU, for example. Often on a single CPU machine, multiple threads are not actually executed in parallel, but parallelism is simulated by interleaving the execution of the threads.

Ruby makes it easy to write multi-threaded programs with the Thread class. Ruby threads are a lightweight and efficient way to achieve concurrency in your code.

Creating Ruby Threads

To start a new thread, just associate a block with a call to Thread.new. A new thread will be created to execute the code in the block, and the original thread will return from Thread.new immediately and resume execution with the next statement −

# Thread #1 is running here
Thread.new {
   # Thread #2 runs this code
}
# Thread #1 runs this code

Example

Here is an example, which shows how we can use multi-threaded Ruby program.

#!/usr/bin/ruby

def func1
   i = 0
   while i<=2
      puts "func1 at: #{Time.now}"
      sleep(2)
      i = i+1
   end
end

def func2
   j = 0
   while j<=2
      puts "func2 at: #{Time.now}"
      sleep(1)
      j = j+1
   end
end

puts "Started At #{Time.now}"
t1 = Thread.new{func1()}
t2 = Thread.new{func2()}
t1.join
t2.join
puts "End at #{Time.now}"

This will produce following result −

Started At Wed May 14 08:21:54 -0700 2008
func1 at: Wed May 14 08:21:54 -0700 2008
func2 at: Wed May 14 08:21:54 -0700 2008
func2 at: Wed May 14 08:21:55 -0700 2008
func1 at: Wed May 14 08:21:56 -0700 2008
func2 at: Wed May 14 08:21:56 -0700 2008
func1 at: Wed May 14 08:21:58 -0700 2008
End at Wed May 14 08:22:00 -0700 2008

Thread Lifecycle

A new threads are created with Thread.new. You can also use the synonyms Thread.start and Thread.fork.

There is no need to start a thread after creating it, it begins running automatically when CPU resources become available.

The Thread class defines a number of methods to query and manipulate the thread while it is running. A thread runs the code in the block associated with the call to Thread.new and then it stops running.

The value of the last expression in that block is the value of the thread, and can be obtained by calling the value method of the Thread object. If the thread has run to completion, then the value returns the thread’s value right away. Otherwise, the value method blocks and does not return until the thread has completed.

The class method Thread.current returns the Thread object that represents the current thread. This allows threads to manipulate themselves. The class method Thread.main returns the Thread object that represents the main thread. This is the initial thread of execution that began when the Ruby program was started.

You can wait for a particular thread to finish by calling that thread’s Thread.join method. The calling thread will block until the given thread is finished.

Threads and Exceptions

If an exception is raised in the main thread, and is not handled anywhere, the Ruby interpreter prints a message and exits. In threads, other than the main thread, unhandled exceptions cause the thread to stop running.

If a thread t exits because of an unhandled exception, and another thread s calls t.join or t.value, then the exception that occurred in t is raised in the thread s.

If Thread.abort_on_exception is false, the default condition, an unhandled exception simply kills the current thread and all the rest continue to run.

If you would like any unhandled exception in any thread to cause the interpreter to exit, set the class method Thread.abort_on_exception to true.

t = Thread.new { ... }
t.abort_on_exception = true

Thread Variables

A thread can normally access any variables that are in scope when the thread is created. Variables local to the block of a thread are local to the thread, and are not shared.

Thread class features a special facility that allows thread-local variables to be created and accessed by name. You simply treat the thread object as if it were a Hash, writing to elements using []= and reading them back using [].

In this example, each thread records the current value of the variable count in a threadlocal variable with the key mycount.Live Demo

#!/usr/bin/ruby

count = 0
arr = []

10.times do |i|
   arr[i] = Thread.new {
      sleep(rand(0)/10.0)
      Thread.current["mycount"] = count
      count += 1
   }
end

arr.each {|t| t.join; print t["mycount"], ", " }
puts "count = #{count}"

This produces the following result −

8, 0, 3, 7, 2, 1, 6, 5, 4, 9, count = 10

The main thread waits for the subthreads to finish and then prints out the value of count captured by each.

Thread Priorities

The first factor that affects the thread scheduling is the thread priority: high-priority threads are scheduled before low-priority threads. More precisely, a thread will only get CPU time if there are no higher-priority threads waiting to run.

You can set and query the priority of a Ruby Thread object with priority = and priority. A newly created thread starts at the same priority as the thread that created it. The main thread starts off at priority 0.

There is no way to set the priority of a thread before it starts running. A thread can, however, raise or lower its own priority as the first action it takes.

Thread Exclusion

If two threads share access to the same data, and at least one of the threads modifies that data, you must take special care to ensure that no thread can ever see the data in an inconsistent state. This is called thread exclusion.

Mutex is a class that implements a simple semaphore lock for mutually exclusive access to some shared resource. That is, only one thread may hold the lock at a given time. Other threads may choose to wait in line for the lock to become available, or may simply choose to get an immediate error indicating that the lock is not available.

By placing all accesses to the shared data under control of a mutex, we ensure consistency and atomic operation. Let’s try to examples, first one without mutax and second one with mutax −

Example without Mutax

Live Demo

#!/usr/bin/ruby
require 'thread'

count1 = count2 = 0
difference = 0
counter = Thread.new do
   loop do
      count1 += 1
      count2 += 1
   end
end
spy = Thread.new do
   loop do
      difference += (count1 - count2).abs
   end
end
sleep 1
puts "count1 :  #{count1}"
puts "count2 :  #{count2}"
puts "difference : #{difference}"

This will produce the following result −

count1 :  1583766
count2 :  1583766
difference : 0

Live Demo

#!/usr/bin/ruby
require 'thread'
mutex = Mutex.new

count1 = count2 = 0
difference = 0
counter = Thread.new do
   loop do
      mutex.synchronize do
         count1 += 1
         count2 += 1
      end
   end
end
spy = Thread.new do
   loop do
      mutex.synchronize do
         difference += (count1 - count2).abs
      end
   end
end
sleep 1
mutex.lock
puts "count1 :  #{count1}"
puts "count2 :  #{count2}"
puts "difference : #{difference}"

This will produce the following result −

count1 :  696591
count2 :  696591
difference : 0

Handling Deadlock

When we start using Mutex objects for thread exclusion we must be careful to avoid deadlock. Deadlock is the condition that occurs when all threads are waiting to acquire a resource held by another thread. Because all threads are blocked, they cannot release the locks they hold. And because they cannot release the locks, no other thread can acquire those locks.

This is where condition variables come into picture. A condition variable is simply a semaphore that is associated with a resource and is used within the protection of a particular mutex. When you need a resource that’s unavailable, you wait on a condition variable. That action releases the lock on the corresponding mutex. When some other thread signals that the resource is available, the original thread comes off the wait and simultaneously regains the lock on the critical region.

Example

Live Demo

#!/usr/bin/ruby
require 'thread'
mutex = Mutex.new

cv = ConditionVariable.new
a = Thread.new {
   mutex.synchronize {
      puts "A: I have critical section, but will wait for cv"
      cv.wait(mutex)
      puts "A: I have critical section again! I rule!"
   }
}

puts "(Later, back at the ranch...)"

b = Thread.new {
   mutex.synchronize {
      puts "B: Now I am critical, but am done with cv"
      cv.signal
      puts "B: I am still critical, finishing up"
   }
}
a.join
b.join

This will produce the following result −

A: I have critical section, but will wait for cv
(Later, back at the ranch...)
B: Now I am critical, but am done with cv
B: I am still critical, finishing up
A: I have critical section again! I rule!

Thread States

There are five possible return values corresponding to the five possible states as shown in the following table. The status method returns the state of the thread.

Thread stateReturn value
Runnablerun
SleepingSleeping
Abortingaborting
Terminated normallyfalse
Terminated with exceptionnil

Thread Class Methods

Following methods are provided by Thread class and they are applicable to all the threads available in the program. These methods will be called as using Thread class name as follows −

Thread.abort_on_exception = true

Here is the complete list of all the class methods available −

Thread Instance Methods

These methods are applicable to an instance of a thread. These methods will be called as using an instance of a Thread as follows −

#!/usr/bin/ruby

thr = Thread.new do   # Calling a class method new
   puts "In second thread"
   raise "Raise exception"
end
thr.join   # Calling an instance method join

Here is the complete list of all the instance methods available −

Leave a Reply