I have a multithreaded function, which all write to the same log file. How can I make this function (maybe with a function decorator) to add the execution of writing to the log file to a queue. Small example:
#!/usr/bin/python
import thread
import time
# Define a function for the thread
def print_time( threadName, delay):
count = 0
while count < 5:
time.sleep(delay)
count += 1
writeToLog(threadName, time.ctime(time.time()))
print "%s: %s" % ( threadName, time.ctime(time.time()) )
# Create two threads as follows
try:
thread.start_new_thread( print_time, ("Thread-1", 2, ) )
thread.start_new_thread( print_time, ("Thread-2", 4, ) )
except:
print "Error: unable to start thread"
def writeToLog(threadName, time):
self.fileWriter = open("log.txt", "w")
self.fileWriter.write("ThreadName: " + threadName + "\n")
self.fileWriter.write("Time: " + time + "\n")
self.fileWriter.close()
How can I make this function writeToLog add to a queue when executed? Now I get every time both threads call the writeToLog function an error because the other writeToLog function (from the other thread) already closed the file. When having a global variable for this writer, which is closed in the end, I get output like this:
ThreadName: thread1
ThreadName: thread2
Time: 9:50AM
Time: 9:50AM
And the output I always want has to look like this:
ThreadName: Thread-1
Time: 9:50AM
ThreadName: Thread-2
Time: 9:50AM
Concurrency access to a shared resource is a well known problem. Python thread provide some mechanism to avoid issues. Use python locks : http://docs.python.org/2/library/threading.html#lock-objects Lock are used to synchronize access to a shared resource :
lock = Lock()
lock.acquire() # will block if lock is already held
... access shared resource
lock.release()
More information : http://effbot.org/zone/thread-synchronization.htm
Search for "Python synchronization"
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