Single thread file loading and multiprocessing
I have a big data file (a few GB up to a few ten GB), which I want to read and process in multiple threads in python.
Python Multiprocessing – is it creating two threads per process
This program starts two processes. It appears that there may actually be two threads created for each process. One, which is the mainline code of the spawned python program and the other being the execution of the function that was called to start the process. The program output shows that both the mainline of the program running in each process as well as running the called function specified when spawning the process.
Python Multiprocessing – is it creating two threads per process
This program starts two processes. It appears that there may actually be two threads created for each process. One, which is the mainline code of the spawned python program and the other being the execution of the function that was called to start the process. The program output shows that both the mainline of the program running in each process as well as running the called function specified when spawning the process.
Python Multiprocessing – is it creating two threads per process
This program starts two processes. It appears that there may actually be two threads created for each process. One, which is the mainline code of the spawned python program and the other being the execution of the function that was called to start the process. The program output shows that both the mainline of the program running in each process as well as running the called function specified when spawning the process.
Python Multiprocessing – is it creating two threads per process
This program starts two processes. It appears that there may actually be two threads created for each process. One, which is the mainline code of the spawned python program and the other being the execution of the function that was called to start the process. The program output shows that both the mainline of the program running in each process as well as running the called function specified when spawning the process.
Python Multiprocessing – is it creating two threads per process
This program starts two processes. It appears that there may actually be two threads created for each process. One, which is the mainline code of the spawned python program and the other being the execution of the function that was called to start the process. The program output shows that both the mainline of the program running in each process as well as running the called function specified when spawning the process.
Python Multiprocessing – is it creating two threads per process
This program starts two processes. It appears that there may actually be two threads created for each process. One, which is the mainline code of the spawned python program and the other being the execution of the function that was called to start the process. The program output shows that both the mainline of the program running in each process as well as running the called function specified when spawning the process.
Python Multiprocessing – is it creating two threads per process
This program starts two processes. It appears that there may actually be two threads created for each process. One, which is the mainline code of the spawned python program and the other being the execution of the function that was called to start the process. The program output shows that both the mainline of the program running in each process as well as running the called function specified when spawning the process.
Python Multiprocessing – is it creating two threads per process
This program starts two processes. It appears that there may actually be two threads created for each process. One, which is the mainline code of the spawned python program and the other being the execution of the function that was called to start the process. The program output shows that both the mainline of the program running in each process as well as running the called function specified when spawning the process.
with concurrent.futures, queue getting full quickly issue; tasks not getting executed quickly/parallely
I am trying to develop a program to insert tick level data for 300+ stocks received in a webstream dictionary format from a broker API.
I already have this program run successfully without trying to implement multiprocessing through concurrent.futures library.