multithreading - identifying threads
Python Multithread
Creating a thread and passing arguments to the threadIdentifying threads - naming and logging
Daemon thread & join() method
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Semaphore objects & thread pool
Thread specific data - threading.local()
While each Thread instance has a name with a default value that can be changed as the thread is created. Naming threads is useful in server processes with multiple service threads handling different operations.
import threading import time def f1(): print threading.currentThread().getName(), 'Starting' time.sleep(1) print threading.currentThread().getName(), 'Exiting' def f2(): print threading.currentThread().getName(), 'Starting' time.sleep(2) print threading.currentThread().getName(), 'Exiting' def f3(): print threading.currentThread().getName(), 'Starting' time.sleep(3) print threading.currentThread().getName(), 'Exiting' t1 = threading.Thread(target=f1) # use default name t2 = threading.Thread(name='f2', target=f2) t3 = threading.Thread(name='f3', target=f3) t1.start() t2.start() t3.start()
Output:
Thread-1 Starting f2 Starting f3 Starting Thread-1 Exiting f2 Exiting f3 Exiting
Now the t2 and t3 threads have their names while t1 has a default name.
We were able to identify which thread is which by printing out the names of the threads, however, what we really need is the support from a logging module which will embed the thread name in every log message using the formatter code %(threadName)s. Including thread names in log messages makes it easier to trace those messages back to their source. Note that logging is thread-safe, so messages from different threads are kept distinct in the output.
import threading import time import logging logging.basicConfig(level=logging.DEBUG, format='[%(levelname)s] (%(threadName)-9s) %(message)s',) def f1(): logging.debug('Starting') time.sleep(1) logging.debug('Exiting') def f2(): logging.debug('Starting') time.sleep(2) logging.debug('Exiting') def f3(): logging.debug('Starting') time.sleep(3) logging.debug('Exiting') t1 = threading.Thread(target=f1) # use default name t2 = threading.Thread(name='f2', target=f2) t3 = threading.Thread(name='f3', target=f3) t1.start() t2.start() t3.start()
Output:
[DEBUG] (Thread-1 ) Starting [DEBUG] (f2 ) Starting [DEBUG] (f3 ) Starting [DEBUG] (Thread-1 ) Exiting [DEBUG] (f2 ) Exiting [DEBUG] (f3 ) Exiting
The following keyword arguments are supported (from here):
Format | Description |
---|---|
filename | Specifies that a FileHandler be created, using the specified filename, rather than a StreamHandler. |
filemode | Specifies the mode to open the file, if filename is specified (if filemode is unspecified, it defaults to 'a'). |
format | Use the specified format string for the handler. |
datefmt | Use the specified date/time format. |
level | Set the root logger level to the specified level. |
stream | Use the specified stream to initialize the StreamHandler. Note that this argument is incompatible with 'filename' - if both are present, 'stream' is ignored. |
Python Multithread
Creating a thread and passing arguments to the threadIdentifying threads - naming and logging
Daemon thread & join() method
Active threads & enumerate() method
Subclassing & overriding run() and __init__() methods
Timer objects
Event objects - set() & wait() methods
Lock objects - acquire() & release() methods
RLock (Reentrant) objects - acquire() method
Using locks in the with statement - context manager
Condition objects with producer and consumer
Producer and Consumer with Queue
Semaphore objects & thread pool
Thread specific data - threading.local()
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