I've been looking at a in-memory data store -- and it got me thinking, how does Python handle IO that's not tied to a connection (and even data that is); for example, hashes, sets, etc.; is this a config somewhere, or is it dynamically managed based on resources; are there "easy" ways to view the effect resources are having on a real program, and simulate what the performance hit would be differing hardware setups?

NOTE: If it matters, Redis is the in-memory data store I'm looking at; there's an implementation of a wrapper for Redis datatypes so they mimic the datatypes found in Python.

I've been looking at a in-memory database -- and it got me thinking, how does Python handle IO that's not tied to a connection (and even data that is); for example, hashes, sets, etc.; is this a config somewhere, or is it dynamically managed based on resources; are there "easy" ways to view the effect resources are having on a real program, and simulate what the performance hit would be differing hardware setups?

NOTE: If it matters, Redis is the in-memory data store I'm looking at; there's an implementation of a wrapper for Redis datatypes so they mimic the datatypes found in Python.

I've been looking at a in-memory data store -- and it got me thinking, how does Python handle IO that's not tied to a connection (and even data that is); for example, hashes, sets, etc.; is this a config somewhere, or is it dynamically managed based on resources; are there "easy" ways to view the effect resources are having on a real program, and simulate what the performance hit would be differing hardware setups?

NOTE: If it matters, Redis is the in-memory data store I'm looking at.

I've been looking at a in-memory data store -- and it got me thinking, how does Python handle IO that's not tied to a connection (and even data that is); for example, hashes, sets, etc.; is this a config somewhere, or is it dynamically managed based on resources; are there "easy" ways to view the effect resources are having on a real program, and simulate what the performance hit would be differing hardware setups?

NOTE: If it matters, Redis is the in-memory data store I'm looking at; there's an implementation of a wrapper for Redis datatypes so they mimic the datatypes found in Python.