Sometimes we need object pools to limit the number of resource consumed. The most common example is database connnections.
In Go we sometime use a buffered channel as a simple object pool.
In Python, we can dome something similar with a Queue. Python's context manager makes the resource handing automatic so clients don't need to remember to return the object.
Here's the output of both programs:
In Go we sometime use a buffered channel as a simple object pool.
In Python, we can dome something similar with a Queue. Python's context manager makes the resource handing automatic so clients don't need to remember to return the object.
Here's the output of both programs:
$ go run pool.go
worker 7 got resource 0
worker 0 got resource 2
worker 3 got resource 1
worker 8 got resource 2
worker 1 got resource 0
worker 9 got resource 1
worker 5 got resource 1
worker 4 got resource 0
worker 2 got resource 2
worker 6 got resource 1
$ python pool.py
worker 5 got resource 1
worker 8 got resource 2
worker 1 got resource 3
worker 4 got resource 1
worker 0 got resource 2
worker 7 got resource 3
worker 6 got resource 1
worker 3 got resource 2
worker 9 got resource 3
worker 2 got resource 1