examples/other/data_factory/README.md

Usage:

This is an example on constructing async state with App::data_factory

Reason:

data_factory would make sense in these situations:

• When async state not necessarily have to be shared between workers/threads.

• When async state would spawn tasks on actix-rt. If we centralized the state there could be a possibility the tasks get a very unbalanced distribution on the workers/threads (actix-rt would spawn tasks on local thread whenever it's called)

Requirement:

• rustc 1.43 stable
• redis server listen on 127.0.0.1:6379(or use REDIS_URL env argument when starting the example)

Endpoints:

• use a work load generator(e.g wrk) to benchmark the end points:

    http://127.0.0.1:8080/pool   prebuilt shared redis pool
    http://127.0.0.1:8080/pool2  data_factory redis pool
  

Context:

The real world difference can be vary by the work you are doing but in general it's a good idea to spread your identical async tasks evenly between threads and have as little cross threads synchronization as possible.