How to use [fork]

The reference page of fork has its arguments, constraints and declaration.

Forks the given lambda into a new thread of execution, using a thread from the thread pool. This slot is useful for creating “fire and forget” lambda objects, where you don’t need to wait for the result of the execution before continuing executing the current scope.

fork
   info.log:I was invoked from another thread

To understand how [fork] works, you can imagine your computer’s CPU as a single river, running down hill, and at some point the river divides into two equally large rivers. This is referred to as “a fork”. The analogy of the river becomes important for another reason, which is the understanding of that the total amount of water is still the same, it’s only parted into two smaller rivers - Implying you cannot “do more” with multi tasking, you can only equally share the same amount of resources as you had before between two different tasks. Multi threading does not make your CPU faster, it only schedules your CPU’s time on multiple things, doing these things concurrently. However, if you have multiple tasks where each individual task needs to wait for IO data, threading typically speeds up your application, since it can make multiple requests for IO simultaneously, and have other machines, and/or processes working in parallel.