The threading.get_ident
function in Python's threading
module returns the "thread identifier" of the current thread. This identifier is a non-zero integer that uniquely identifies each thread during its lifetime. It can be useful for debugging and logging purposes.
Table of Contents
- Introduction
threading.get_ident
Function Syntax- Examples
- Basic Usage
- Using with Thread Creation
- Comparing Thread Identifiers
- Real-World Use Case
- Conclusion
Introduction
The threading.get_ident
function provides a unique identifier for the current thread. This can be useful for tracking threads and distinguishing between them, especially when debugging or logging thread activity.
threading.get_ident Function Syntax
Here is how you use the threading.get_ident
function:
import threading
thread_id = threading.get_ident()
Returns:
- A non-zero integer representing the unique identifier of the current thread.
Examples
Basic Usage
Get and print the identifier of the current thread.
Example
import threading
def worker():
thread_id = threading.get_ident()
print(f"Worker thread ID: {thread_id}")
worker_thread = threading.Thread(target=worker)
worker_thread.start()
worker_thread.join()
main_thread_id = threading.get_ident()
print(f"Main thread ID: {main_thread_id}")
Output:
Worker thread ID: 123145321082368
Main thread ID: 140735282373568
Using with Thread Creation
Track the identifiers of multiple threads.
Example
import threading
def worker():
thread_id = threading.get_ident()
print(f"Worker thread ID: {thread_id}")
threads = []
for i in range(3):
thread = threading.Thread(target=worker)
threads.append(thread)
thread.start()
for thread in threads:
thread.join()
main_thread_id = threading.get_ident()
print(f"Main thread ID: {main_thread_id}")
Output:
Worker thread ID: 123145321082368
Worker thread ID: 123145321082368
Worker thread ID: 123145321082368
Main thread ID: 140735282373568
Comparing Thread Identifiers
Compare the identifiers of the current thread and the main thread.
Example
import threading
def worker():
worker_thread_id = threading.get_ident()
main_thread_id = threading.main_thread().ident
if worker_thread_id == main_thread_id:
print("Worker is running on the main thread")
else:
print("Worker is running on a worker thread")
worker_thread = threading.Thread(target=worker)
worker_thread.start()
worker_thread.join()
main_thread_id = threading.get_ident()
print(f"Main thread ID: {main_thread_id}")
Output:
Worker is running on a worker thread
Main thread ID: 140735282373568
Real-World Use Case
Logging Thread Activity
Use threading.get_ident
to log the activity of different threads.
Example
import threading
import logging
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s %(message)s')
def worker():
thread_id = threading.get_ident()
logging.debug(f"Worker thread ID: {thread_id} is running")
logging.debug(f"Worker thread ID: {thread_id} is doing some work")
logging.debug(f"Worker thread ID: {thread_id} has finished work")
threads = []
for i in range(3):
thread = threading.Thread(target=worker)
threads.append(thread)
thread.start()
for thread in threads:
thread.join()
main_thread_id = threading.get_ident()
logging.debug(f"Main thread ID: {main_thread_id} is exiting")
Output:
2023-07-25 12:00:00,000 Worker thread ID: 123145321082368 is running
2023-07-25 12:00:00,001 Worker thread ID: 123145321082368 is doing some work
2023-07-25 12:00:00,002 Worker thread ID: 123145321082368 has finished work
2023-07-25 12:00:00,003 Worker thread ID: 123145321082368 is running
2023-07-25 12:00:00,004 Worker thread ID: 123145321082368 is doing some work
2023-07-25 12:00:00,005 Worker thread ID: 123145321082368 has finished work
2023-07-25 12:00:00,006 Worker thread ID: 123145321082368 is running
2023-07-25 12:00:00,007 Worker thread ID: 123145321082368 is doing some work
2023-07-25 12:00:00,008 Worker thread ID: 123145321082368 has finished work
2023-07-25 12:00:00,009 Main thread ID: 140735282373568 is exiting
Conclusion
The threading.get_ident
function is used for obtaining the unique identifier of the current thread in Python. It can be used for debugging, logging, and tracking thread activity, providing a clear way to distinguish between different threads in your application. Proper usage can enhance the visibility and manageability of your multithreaded programs.
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