Basic of `@everywhere` and `@distributed` macro

[jling]

unfortunately macro based multi threading and multi processing both seems confusing at best, brittle / fragile at times.

Confusing julia behavior. @everywhere macro changes the scope of local variables to global

I find this a bit confusing as well. One thing that often adds clarity is to replace macros with the code executed. In this case: julia> using MacroTools julia> prettify(@macroexpand(@fetchfrom 2 x)) :(Distributed.remotecall_fetch((()->x), 2)) so @fetchfrom 2 x actually means remotecall_fetch(() -> x, 2) i.e. it creates a closure around x, and then executes the result on pid 2. I can see how that ends up returning 1 given the closure is created on pid 1 and therefore likely closes over the …