Friday 24 January 2014

How to use Multithreaded Priority Queue in Python


The Queue module allows you to create a new queue object that can hold a specific number of items. There are following methods to control the Queue:
  • get(): The get() removes and returns an item from the queue.
  • put(): The put adds item to a queue. 
  • qsize() : The qsize() returns the number of items that are currently in the queue. 
  • empty(): The empty( ) returns True if queue is empty; otherwise, False.
  • full(): the full() returns True if queue is full; otherwise, False.
·     Example:

#!/usr/bin/python

import Queue
import threading
import time

exitFlag = 0

class StartThread (threading.Thread):
    def __init__(self, threadID, name, q):
        threading.Thread.__init__(self)
        self.threadID = threadID
        self.name = name
        self.q = q
    def run(self):
        print "Starting " + self.name
        process_data(self.name, self.q)
        print "Exiting " + self.name

def process_data(threadName, q):
    while not exitFlag:
        queueLock.acquire()
        if not workQueue.empty():
            data = q.get()
            queueLock.release()
            print "%s processing %s" % (threadName, data)
        else:
            queueLock.release()
        time.sleep(1)

threadList = ["Thread-1", "Thread-2", "Thread-3"]
nameList = ["One", "Two", "Three", "Four", "Five"]
queueLock = threading.Lock()
workQueue = Queue.Queue(10)
threads = []
threadID = 1

# Create new threads
for tName in threadList:
    thread = StartThread (threadID, tName, workQueue)
    thread.start()
    threads.append(thread)
    threadID += 1

# Fill the queue
queueLock.acquire()
for word in nameList:
    workQueue.put(word)
queueLock.release()

# Wait for queue to empty
while not workQueue.empty():
    pass

# Notify threads it's time to exit
exitFlag = 1

# Wait for all threads to complete
for t in threads:
    t.join()
print "Exiting Main Thread"
When the above code is executed, it produces the following result:
Starting Thread-1
Starting Thread-2
Starting Thread-3
Thread-1 processing One
Thread-2 processing Two
Thread-3 processing Three
Thread-1 processing Four
Thread-2 processing Five
Exiting Thread-3
Exiting Thread-1
Exiting Thread-2
Exiting Main Thread
Thanks guys

How to synchronize the thread in python


In previous post you have seen Simple thread and Threading using python. Now  all threads asynchronous  which means if you run 2 thread it will go simultaneously and indendently. it  cannot wait for other one that is called asynchronous.

So for that we use synchronous locking mechanism, it will take every Thread after complete one by one.

  • The acquire(blocking) method of the new lock object would be used to force threads to run synchronously. The optional blocking parameter enables you to control whether the thread will wait to acquire the lock.

  • If blocking is set to 0, the thread will return immediately with a 0 value if the lock cannot be acquired and with a 1 if the lock was acquired. If blocking is set to 1, the thread will block and wait for the lock to be released.

  • The release() method of the the new lock object would be used to release the lock when it is no longer required.

Example

 

#!/usr/bin/python

import threading
import time

class StartThread (threading.Thread):
    def __init__(self, threadID, name, counter):
        threading.Thread.__init__(self)
        self.threadID = threadID
        self.name = name
        self.counter = counter
    def run(self):
        print "Starting " + self.name
        # Get lock to synchronize threads
        threadLock.acquire()
        check_time(self.name, self.counter, 3)
        # Free lock to release next thread
        threadLock.release()

def check_time(threadName, delay, counter):
    while counter:
        time.sleep(delay)
        print "%s: %s" % (threadName, time.ctime(time.time()))
        counter -= 1

threadLock = threading.Lock()
threads = []

# Create new threads
thread1 = StartThread (1, "Thread-1", 1)
thread2 = StartThread (2, "Thread-2", 2)

# Start new Threads
thread1.start()
thread2.start()

# Add threads to thread list
threads.append(thread1)
threads.append(thread2)

# Wait for all threads to complete
for t in threads:
    t.join()
print "Exiting Main Thread"
When the above code is executed, it produces the following result:
Starting Thread-1
Starting Thread-2
Thread-1: Thu Mar 21 09:11:28 2013
Thread-1: Thu Mar 21 09:11:29 2013
Thread-1: Thu Mar 21 09:11:30 2013
Thread-2: Thu Mar 21 09:11:32 2013
Thread-2: Thu Mar 21 09:11:34 2013
Thread-2: Thu Mar 21 09:11:36 2013
Exiting Main Thread
Thanks Guys

How to use Threading in Python


The newer threading module included with Python 2.4 provides much more powerful, high-level support for threads than the thread module discussed in the previous section.

The threading module exposes all the methods of the thread module and provides some additional methods:

  • threading.activeCount(): Returns the number of thread objects that are active.
  • threading.currentThread(): Returns the number of thread objects in the caller's thread control.
  • threading.enumerate(): Returns a list of all thread objects that are currently active.

·     In addition to the methods, the threading module has the Thread class that implements threading. The methods provided by the Thread class are as follows:

  • run(): The run() method is the entry point for a thread
  • start(): The start() method starts a thread by calling the run method. 
  • join([time]): The join() waits for threads to terminate. 
  • isAlive(): The isAlive() method checks whether a thread is still executing.
  • getName(): The getName() method returns the name of a thread. 
  • setName(): The setName() method sets the name of a thread.

    Example
#!/usr/bin/python

import threading
import time

exitFlag = 0

class StartThread(threading.Thread):
    def __init__(self, threadID, name, counter):
        threading.Thread.__init__(self)
        self.threadID = threadID
        self.name = name
        self.counter = counter
    def run(self):
        print "Starting " + self.name
        check_time(self.name, self.counter, 5)
        print "Exiting " + self.name

def check_time(threadName, delay, counter):
    while counter:
        if exitFlag:
            thread.exit()
        time.sleep(delay)
        print "%s: %s" % (threadName, time.ctime(time.time()))
        counter -= 1

# Create new threads
thread1 = StartThread(1, "Thread-1", 1)
thread2 = StartThread(2, "Thread-2", 2)

# Start new Threads
thread1.start()
thread2.start()

print "Exiting Main Thread"

When the above code is executed, it produces the following result: 
Starting Thread-1
Starting Thread-2
Exiting Main Thread
Thread-1: Thu Mar 21 09:10:03 2013
Thread-1: Thu Mar 21 09:10:04 2013
Thread-2: Thu Mar 21 09:10:04 2013
Thread-1: Thu Mar 21 09:10:05 2013
Thread-1: Thu Mar 21 09:10:06 2013
Thread-2: Thu Mar 21 09:10:06 2013
Thread-1: Thu Mar 21 09:10:07 2013
Exiting Thread-1
Thread-2: Thu Mar 21 09:10:08 2013
Thread-2: Thu Mar 21 09:10:10 2013
Thread-2: Thu Mar 21 09:10:12 2013
Exiting Thread-2
Thanks Guys

How to use simple Thread in Python



Already In previous post you will have read about thread (how to use thread in Pygtk (python)) . So theoretically thread is nothing but a task which works independently.
A single computer running several programs (seemingly) simultaneously. This is done by clever and frequent switching between the execution states of each program. For example, the print spooler on your PC may be printing pages from one document while you are editing another document in your word processor. 

Above was theoretical knowledge now we will see practically programming means how to use simple thread and how to use multiple threading using python.

Some Important point about multithreading for your knowledge

  • Multiple threads within a process share the same data space with the main thread and can therefore share information or communicate with each other more easily than if they were separate processes.

  • Threads sometimes called light-weight processes and they do not require much memory overhead; they care cheaper than processes.

  • It can temporarily be put on hold (also known as sleeping) while other threads are running - this is called yielding.

  • No one can stop threading once it started until completed. Only you can hold that thread as a sleeping, waiting or busy in some task.
 Example:
 
#!/usr/bin/python

import thread
import time

# Define a function for the thread
def check_time( threadName, delay):
   count = 0
   while count < 5:
      time.sleep(delay)
      count += 1
      print "%s: %s" % ( threadName, time.ctime(time.time()) )

# Create two threads as follows
try:
   thread.start_new_thread(check_time, ("Thread-1", 2, ) )
   thread.start_new_thread(check_time, ("Thread-2", 4, ) )
except:
   print "Error: unable to start thread"

When the above code is executed, it produces the following result: 

Thread-1: Thu Jan 22 15:42:17 2009
Thread-1: Thu Jan 22 15:42:19 2009
Thread-2: Thu Jan 22 15:42:19 2009
Thread-1: Thu Jan 22 15:42:21 2009
Thread-2: Thu Jan 22 15:42:23 2009
Thread-1: Thu Jan 22 15:42:23 2009
Thread-1: Thu Jan 22 15:42:25 2009
Thread-2: Thu Jan 22 15:42:27 2009
Thread-2: Thu Jan 22 15:42:31 2009
Thread-2: Thu Jan 22 15:42:35 2009

Thanks Guys