Windows SMB shares?

To start, what shutil.copytree() actually does. This handy little function is part of the Python standard library and allows you to copy an entire directory structure from one location to another with just a few lines of code. It’s great for automating tasks like backups or file migrations, but it can be painfully slow when dealing with large amounts of data over network filesystems.

So why is shutil.copytree() so ***** slow? Well, there are a couple of factors at play here. First, the function uses recursion to traverse through each directory and copy its contents, which can be resource-intensive on systems with limited memory or processing power. Secondly, when dealing with network filesystems like Windows SMB shares, there’s an additional layer of overhead due to the protocol itself.

But no need to get all worked up my friend! There are ways to optimize shutil.copytree() performance for network filesystems using Python 3.9 and Windows SMB shares. Here are a few tips that will make your life easier:

1) Use the ‘concurrent’ module to run multiple copy operations in parallel, which can significantly reduce overall execution time. This is especially useful when dealing with large amounts of data over network filesystems.

2) Increase the buffer size using the ‘buffer_size’ parameter, which will improve I/O performance and reduce latency. A larger buffer size may be necessary for slower network connections or when copying large files.

3) Use a progress bar to keep track of how much data has been copied so far, which can help you gauge overall progress and identify any issues that need to be addressed. This is especially useful when dealing with large amounts of data over network filesystems.

4) Consider using an alternative file copying library like ‘psutil’ or ‘shlex’, which may offer better performance for specific use cases. These libraries can provide additional features and functionality, such as support for compression or encryption during the copy process.

5) Finally, make sure to test your code thoroughly on a representative sample of data before rolling it out in production. This will help you identify any issues that need to be addressed and ensure that your solution is scalable and reliable over time.

With these tips and tricks, you’ll be able to optimize shutil.copytree() performance for network filesystems using Python 3.9 and Windows SMB shares in no time flat.