Works! Thank you!
четверг, 31 марта 2022 г. в 15:42:25 UTC+3, Mike Bayer:
> when using multiprocessing, the connection pool in the new process must be
> replaced with a new one. This is usually accomplished by calling
> engine.dispose(). However, to maintain the pool in the parent
when using multiprocessing, the connection pool in the new process must be
replaced with a new one. This is usually accomplished by calling
engine.dispose(). However, to maintain the pool in the parent process as well,
replace the connection pool alone without disposing the old one:
Hello!
>From time to time, I need to update data in tables and multiprocessing can
speed up this process. Last example: I’m trying to update data 7M rows in
table
SQLAlchemy 1.4.31, psycopg2 2.8.6, PostgreSQL
def job_update_rd(data_list):
updated = []
with Session() as session:
