milli | Search engine library for Meilisearch ⚡️ | Search Engine library

With two little modifications your code becomes magnitudes faster:

i suggest you to create a custom filter to avoid multiple choices:

you create a file myfilter.py in a folder filter_plugins (same level your playbook), i have named the plugin customfilter:

I had this problem as well since this morning and what was odd for me was that I could SSH from the terminal to the target host with no problem.

After some debugging, it seems like the Remote - SSH extension is causing the trouble. The following two options worked for me. Either:

1. Downgrading the extension to 0.70.0 works for me. The current version (0.74.0 as of now) was updated just two days ago and I think this update is causing the trouble.

2. If you would like to keep the current version, then turning off remote.ssh.useLocalServer also works. If you're on a mac, go to Code > Preferences > Settings (Cmd + ,) and then type remote.ssh.useLocalServer and it'll show the option which is turned on by default. Turning this off did the trick for me too.

You appear to be using a Linux OS, try passing one or more of these system properties when you start your JVM:

std::vector is the fastest STL container for linear iterations like in your scenario. This is simply because memory is contiguously allocated and therefore can benefit of caching mechanisms. A vector iterator just increments a pointer internally.

You might improve performance further by trying to use a smaller type than int when possible.

In your case I think parallelization/SIMD would give largest performance boost for reduction. This might be achieved by auto vectorization (check project compiler settings).

You could also try OMP to do this like this (not tested)

Rust uses the type for matching, so it doesn't know the bounds as per your logic. But you do.

For being explicit you can use unreachable!:

Indicates unreachable code.

This is useful any time that the compiler can’t determine that some code is unreachable. For example:

Match arms with guard conditions. Loops that dynamically terminate. Iterators that dynamically terminate. If the determination that the code is unreachable proves incorrect, the program immediately terminates with a panic!.

There are only 1000ms in 1 second, do you mean microseconds?

In this line :

Mutations need to run Synchronous

Do your async work in action rather than mutation

Not the best implementation, but you will get an idea how to approach it from the code below.