Pool
Explore the Python multiprocessing Pool class to execute tasks using a pool of processes. Understand how to configure processes, initializer functions, and task limits. Learn both blocking and non-blocking task submission with apply and apply_async methods through practical examples.
We'll cover the following...
Pool
The Pool object consists of a group of processes that can receive tasks for execution. The concept is very similar to a thread pool. Creating and tearing down threads is expensive so most programming language frameworks provide a notion of a pool of threads. Once a thread is done executing a task, it is returned back to the pool rather than being terminated. The process pool concept is similar where the processes are kept alive till there are tasks to be executed. Let's dive into an example to see how the Pool class works. Consider the code below:
Example of using Pool class
def init(main_id):
print("pool process with id