Hello. Is there any best practice for handling large task results? I’ve got a task that can return >5GB of data as a result, and I assume that’s what’s causing the flow to slowdown creating and running subsequent tasks.

Result handling is a high priority that @Zanie is working on now. You can follow the tracking PR here.

Passing that much data around is always going to be expensive though. I’d consider persisting it to a location then returning the reference to that location and then loading it again when necessary.

Hello. Wanted to circle back on this since it looks like this was just released with 2.6.0 (🎉) Was the ability to drop from memory added along with this? Don’t see it in the docs anywhere, but I do see it still what looks like could be it still listed as planned in GitHub.

There's an open pull request to add that functionality, it'll probably be in the next release