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data-factory/README.md

@@ -1,23 +1,27 @@
 # Usage:
+
 This is an example demonstrating the construction of async state with `App::data_factory`
 
 ## Reason:
+
 Use of a `data_factory` would make sense in these situations:
+
 - When async state does not necessarily have to be shared between workers/threads.
 
-- When an async state would spawn tasks on `actix-rt`. If state was centralized there could be a possibility the tasks get an unbalanced distribution on the workers/threads
-(`actix-rt` would spawn tasks on local thread whenever it's called)
+- When an async state would spawn tasks on `actix-rt`. If state was centralized there could be a possibility the tasks get an unbalanced distribution on the workers/threads (`actix-rt` would spawn tasks on local thread whenever it's called)
 
 ## Requirement:
+
 - `rustc 1.58 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.
+
+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.