OkHttp VS Elasticsearch

We will use Square’s Mock Webserver to spin up a mock server which we can use to simulate real api's request to the get coffee endpoint.

OkHttp Documentation

mockwebserver -> https://github.com/square/okhttp/tree/master/mockwebserver

I searched in the OkHttp GitHub project for an advice on which values may be suitable for Android apps nowadays but found no answers (only this old issue which does not help). Since we share a single OkHttp client Singleton for all our retrofit APIs and even Coil, I wonder if the default 5 maxRequestsPerHost is really enough.

You can technically add a Content-Length header for each part. It's not forbidden by the RFC, but nor is it common. It caused [problems](https://github.com/square/okhttp/issues/2138) for OkHttp, and they eventually removed it. Might be fine for internal-only use, though.

Boundaries are a lot like UUIDs, and rely on the same logic. When generating random data, once you have enough bits, the odds are against that sequence of bits ever having been generated before in the universe.

Lets be specific. This is the gradle build file for Squares okhttp client library. How exactly would your bld tool "predict" or "help" with all the parameters needed? There is no need to be defensive. Replace those large build files with your own, show where your approach is better and then understanding will lead to better solutions.

And adding to that: The asynchttpclient library is just a thin wrapper around OkHttp3, so it might be easier to just go with that instead: https://square.github.io/okhttp/

Retrofit in combination with OkHttp for fetching data from server (which hopefully already exists)

OkHttp

You could check out their GitHub and see what is going on https://github.com/elastic/elasticsearch/issues

Link to GitHub -->

I believe the 1024 limit has been upped in recent versions of Elasticsearch

https://github.com/elastic/elasticsearch/issues/92458

Elasticsearch is written in Java and its source code is available on Github.

I don't think the murmur3 hash implementation has changed since it was added as the default in version 2.0 (see the [changes](https://github.com/elastic/elasticsearch/commits/main/server/src/main/java/org/elasticsearch/cluster/routing/Murmur3HashFunction.java)). The plugin itself has seen [more changes](https://github.com/elastic/elasticsearch/commits/main/plugins/mapper-murmur3) but that's IMO because of internals and not visible changes in the calculations.

Mysql is not as open source as postgres (long story). And you can see how open elasticsearch is by just having access to the bugs database https://github.com/elastic/elasticsearch/issue