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## 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.
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- 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
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(`actix-rt` would spawn tasks on local thread whenever it's called)
## Requirement:
- `rustc 1.43 stable`
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- `redis` server listen on `127.0.0.1:6379` (or use `REDIS_URL` env argument when starting the example)
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## 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.
