The Push Queue is mostly a normal queue, but it has some special logic to merge push requests for each given proxy. This results in each proxy having 0 or 1 outstanding push requests; if additional updates come in the existing push request is just expanded.

Another job polls this queue and triggers each client to start a push.

```mermaid
graph TD
    subgraph Config Flow
        cu(Config Update)

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!!! tip
    The important and "magic" thing here is that `get_current_user` will have a different list of `scopes` to check for each *path operation*.

    All depending on the `scopes` declared in each *path operation* and each dependency in the dependency tree for that specific *path operation*.

## More details about `SecurityScopes`

!!! note "Technical Details"
    `threading.local` is used to have a "magic" variable that has a different value for each thread.

    This was useful in older frameworks designed to have one single thread per request, no more, no less.

    Using this, each request would have its own database connection/session, which is the actual final goal.

import org.opentest4j.TestAbortedException

/**
 * This test binds two different web servers (IPv4 and IPv6) to the same port, but on different
 * local IP addresses. Requests made to `127.0.0.1` will reach the IPv4 server, and requests made to
 * `::1` will reach the IPv6 server.
 *
 * By orchestrating two different servers with the same port but different IP addresses, we can
 * test what OkHttp does when both are reachable, or if only one is reachable.
 *

But in this case, if you could bring the 8 ex-cashier/cooks/now-cleaners, and each one of them (plus you) could take a zone of the house to clean it, you could do all the work in **parallel**, with the extra help, and finish much sooner.

In this scenario, each one of the cleaners (including you) would be a processor, doing their part of the job.