LOADING
How Libretto, a Scala DSL for concurrent programming, can be used for writing custom stream operators
Libraries for in-memory stream processing, such as FS2, ZIO Streams, Akka Streams, come with a set of built-in stream operators. However, when one needs a custom operator that's not already part of the library, things get complicated.Writing a non-trivial custom stream operator is difficult and error-prone. We are required to leave the safe world of declarative concurrency and enter the lower-level, unsafe world of side effects. We lose the static guarantee that things are wired up properly. We might even find ourselves manually manipulating queues, promises, mutable references, etc., while business logic gets buried in the resulting accidental complexity.
In this talk, I will show how Libretto, a Scala DSL for concurrent programming, can be used for writing custom stream operators. I will also demonstrate Libretto's integration with ZIO Streams.We will see that Libretto lets us focus on business logic rather than on low-level implementation details, thanks to its small but expressive set of built-in operations.
Moreover, stream operators written with Libretto are well-wired by construction. Bugs like polling an already closed stream or forgetting to complete a promise are prevented statically, i.e. before program execution.
Don't miss out on this opportunity to connect with Scalar community and create lasting memories
We all have pretty little things laying around in our codebases, yet, we seldom give them the same love
Let's take a look at the issues that enums have in Scala 2 and whether we found the Holy Grail with the introduction of Scala 3.
How to leverage Scala with scala.js to write frontend as functional programmers would do.
