josefrichter
Hi guys,
I came across this table from Sasa Juric’s book summarizing which common components of a (ruby) web app can be replaced with Erlang
Chris McCord mentioned in his ElixirConf 2017 Closing Keynote that it’s rather difficult for experienced Elixir devs to see the Elixir world through the eyes of newcomers again, so here we go ![]()
For a newcomer (from Ruby world) like me, it would be quite helpful to get a bit more detail about which specific parts of the Elixir ecosystem replace those components. There’s a lot of new terms like GenServer, Supervisors, ETS, Mnesia, etc. etc. that don’t ring any bell for a newcomer, so such a mental map could fix that.
To be more specific, these are some of the questions I’m trying to find answers for:
– what do I use instead of Redis and why?
– what do I use instead of Sidekiq and why?
– how does Erlang ecosystem render some components, that are common in Ruby world, unneeded?
– how does the whole ‘concurrency’ promise help me deal with the fact that at some point all the concurrent connections might need to write into a database at once?
– what are some BAD use cases for Erlang/Elixir, where I’m better off sticking with Ruby?
– etc.
Thank you very much!
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First 10 of 22 Posts
wmnnd
Hey there and welcome!
Saša’s list is, of course, a little tongue-in-cheek but ultimately true.
Let’s look at some of the points from the list:
Regarding the advantages of concurrency when you eventually still end up writing to a database: Well, not every HTTP request needs to write something to a database and even then, you profit from increased stability, responsiveness and availability of your sever if it is able to handle concurrency better
I can’t really think of use-cases in which you’d want to go with Ruby over Elixir/Erlang. There are, however, cases in which you might want to go with a language that compiles to native code (like C/C++/Rust) instead in order to get some performance benefits.
There are some nice introduction books and courses for Elixir out there. I have personally read »Programming Elixir« and it covers many important aspects of both the language and Erlang/OTP.
I can also recommend this little video series about GenServer and Supervisors on YouTube if you want to get a quick fix:
kokolegorille
ETS Erlang Term Storage
Background processes is easy as spawning a process, usually a GenServer
Which components?
When having a limited resource and lots of requests, You can use poolboy, like Ecto does for db access
Often, people coming from Rails complain for not having devise out of the box. I am also coming from Rails, and what I miss the most is a plugin called awesome nested set to manage db tree.
Maybe the gem world is still bigger than hex world. But Elixir gains so much from Erlang/OTP that I would not consider reusing Rails vs Phoenix.
kokolegorille
I forgot to mention
But that is so obviously Elixir/Erlang strong point, where You can recover any processes with the help of supervision tree.
orestis
I’ve never used Ruby, but at least from a Python perspective, the main difference between Elixir/BEAM and those languages is that the BEAM VM is designed to be effectively started once and never restarted, and it can use all the cores of a machine without needing to spawn new OS-level processes to maintain responsiveness.
So, the main mental leap you have to do is:
Trust the VM: It will not crash, it will not leak memory, it will not block.
hubertlepicki
ETS, DETS, Mnesia. Or Redis. Nothing stops you from using Redis.
Maybe nothing. Maybe you just spawn a process/task and it does some job. Or maybe you use one of the libraries for background jobs.
I do not think it does. It makes building certain things on your own easier, however. Think bout background jobs queue, that you might not need to build or use because you’re good with async tasks that you can just crate ad hoc.
In my experience (>10 years writing Ruby code), this problem occurs when you have many connections that are open to database… while most of them are doing nothing. Ruby is using the database connections very inefficiently. Starting a request will open connection, where you can open transaction, then do some Ruby computations, then write something, then at the end it closes the connection etc. Elixir’s default DB library for many - Ecto - does use connection only when it needs to write/read some stuff, and then immediately checks it out to the pool. The 2nd thing is that explicit need to preload sutff when you make query makes it easier to reduce the N+1 queries your app does. So it’s using the DB more efficiently.
If you really have multiple writes from multiple threads/workers then you’re toast either way
When you have limited budget and there’s plenty of components you can glue together Ruby app from that are out there already. Especially true if you are just starting up with Elixir. In general, Elixir app will take slightly more effort and slightly more code than similar Ruby/Rails app.
AstonJ
I would probably use Elixir’s Task - it’s built in and lets your start a process in the background extremely easily
NobbZ
In general I’d sign, but you still can produce huge space-leaks easily.
When you read a full GiB file into memory in raw binary mode, it will be allocated in the bin_heap. When you now simply do the following:
This will not only loop forever, but keep a reference to the original binary, therefore it can’t get garbage collected ever.
This leak can be avoided by doing as follows:
This will enforce copying the subbinary and therefore not keep a reference to the original binary, therefore it can be garbage collected.
In erlang this produced many shooting holes in my feet
orestis
Fair enough. My point though was more about memory leaks you cannot reasonably fix yourself, rather than memory leaks that happen in code you directly control.
OvermindDL1
@Nobbz that is not a ‘leak’ though, it is still pointed to and referenced. A leak is something that is dereferenced but never released, meaning that it can never ever again be reclaimed, that is definitely not your example. ^.^
michalmuskala
The described situation is no longer true in OTP 20. The GC will copy small fragments of big binaries (under 64 bytes) directly to the process heap, instead. This does not solve all the problems but does reduce the issue significantly.