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sleipnir
First-Class gRPC Streams in Elixir: A new composable API
For a long time, the Elixir community has lacked a truly idiomatic way to handle gRPC streaming. While unary RPCs have always been well-supported in the elixir-grpc library, stream handling felt incomplete — too low-level and too imperative for a language that thrives on functional and reactive principles.
This gap was finally addressed in issue #270, which led to a major improvement: first-class support for gRPC streams using a functional and declarative API that fits seamlessly into the Elixir ecosystem.
This new API is available starting from
elixir-grpcversion 0.10.0 — with the latest release being 0.10.2.
It’s worth highlighting the irony: while Elixir is inherently concurrent and reactive — thanks to the BEAM and its actor-based model — its gRPC streaming capabilities lagged behind those found in other ecosystems.
Languages like Java (via Project Reactor or RxJava), Kotlin (with coroutines and Flows), and JavaScript (using RxJS or async iterators) have long embraced reactive paradigms for working with gRPC streams. These models allowed developers to work with streams as composable, functional data flows.
Until recently, Elixir developers lacked similar expressive power. The new API introduced in version 0.10.0 finally brings that same level of expressiveness and control to the Elixir world — and in a way that feels natural, pure, and declarative.
A Functional API for Streaming
The new streaming API is designed around stream composition and functional data flows, relying on GRPC.Stream to model and process streaming inputs and outputs. This new abstraction enables a developer experience that feels intuitive, powerful, and aligned with some Elixir’s design principles.
Here’s an example of the new API in action:
defmodule HelloworldStreams.Server do
@moduledoc false
use GRPC.Server, service: Stream.EchoServer.Service
alias HelloworldStreams.Utils.Transformer
alias GRPC.Stream, as: GRPCStream
alias Stream.HelloRequest
alias Stream.HelloReply
@spec say_unary_hello(HelloRequest.t(), GRPC.Server.Stream.t()) :: any()
def say_unary_hello(request, _materializer) do
GRPCStream.unary(request)
|> GRPCStream.ask(Transformer)
|> GRPCStream.map(fn %HelloReply{} = reply ->
%HelloReply{message: "[Reply] #{reply.message}"}
end)
|> GRPCStream.run()
end
@spec say_server_hello(HelloRequest.t(), GRPC.Server.Stream.t()) :: any()
def say_server_hello(request, materializer) do
create_output_stream(request)
|> GRPCStream.from()
|> GRPCStream.run_with(materializer)
end
defp create_output_stream(msg) do
Stream.repeatedly(fn ->
index = :rand.uniform(10)
%HelloReply{message: "[#{index}] I'm the Server for #{msg.name}"}
end)
|> Stream.take(10)
|> Enum.to_list()
end
@spec say_bid_stream_hello(Enumerable.t(), GRPC.Server.Stream.t()) :: any()
def say_bid_stream_hello(request, materializer) do
output_stream =
Stream.repeatedly(fn ->
index = :rand.uniform(10)
%HelloReply{message: "[#{index}] I'm the Server ;)"}
end)
GRPCStream.from(request, join_with: output_stream)
|> GRPCStream.map(fn
%HelloRequest{} = hello ->
%HelloReply{message: "Welcome #{hello.name}"}
output_item ->
output_item
end)
|> GRPCStream.run_with(materializer)
end
end
As seen in the example above, composing different stages in the streaming pipeline is straightforward. Each step in the transformation can be expressed clearly, making the overall flow easier to follow and reason about.
To support this, the GRPC.Stream module offers a set of functions designed to operate directly on the stream, such as map, filter, flat_map, partition, reduce, uniq and so on. These utilities provide the flexibility needed to build expressive and efficient streaming logic while maintaining clarity and composability throughout the pipeline.
Conclusion
The introduction of a first-class streaming API represents a meaningful step forward for the Elixir gRPC ecosystem. It provides a more consistent and idiomatic way to implement streaming services using well-established functional constructs.
This new approach makes it easier to model real-time interactions, handle bi-directional communication, and process data streams using composable and readable code.
Further details and examples can be found in the official elixir-grpc repository and hex.
Eiji
Ok, so few years have passed. Why it took so long? It simply didn’t took any time. I’ve got just a single question if this library is maintained. I said yes, but so far no issue, pull request or even a question was created.
Therefore I was just using this project for my personal purposes and slowly refactoring it when needed. I think the completely new code is much better now. The documentation should also be much cleaner. This is a first release on hex simply because I’m not pushing initial library code or first release candidates.
enumex have a new DSL. From now on you start with as simple code as possible and extend it by adding components. Therefore there is no convention forced to your enum module. You can use a component to integrate ecto or write your own easily.
defmodule MyApp.StaticEnums do
use Enumex.Static,
components: [
# Enumex.Static.Components.AbsinthePhase,
# Enumex.Static.Components.Constant,
# Enumex.Static.Components.EctoType,
# Enumex.Static.Components.Guards,
# Enumex.Static.Components.Index,
# Enumex.Static.Components.List,
# Enumex.Static.Components.Sort,
# Enumex.Static.Components.Typespecs
]
enum :my_enum, ~w[first second third]a
end
end
All compile-time state is written into ets storage which means there are no module attributes that you have to be aware of. That’s said some modules may use module attributes to integrate with other library. The simplest example here is Ecto.Schema integration (@primary_key and @schema_prefix).
What I like the most is a simple component system.
defmodule MyApp.MyComponent do
@moduledoc """
A component documentation
"""
use Enumex.Component
@doc """
A callback documentation
"""
@callback my_func :: :ok
comp [component: component_module] do
@behaviour component_module
@impl component_module
def my_func, do: :ok
end
end
You can start with a simple :string migration and end up with a PostgreSQL enumerated type or even work on runtime-determined values.
defmodule MyApp.DynamicEnums do
use Enumex.Dynamic,
components: [
# Enumex.Dynamic.Components.Context,
# Enumex.Dynamic.Components.Convert,
# Enumex.Dynamic.Components.EctoChangeset,
# Enumex.Dynamic.Components.EctoSchema,
# Enumex.Dynamic.Components.Typespecs
],
repo: MyApp.Repo
enum ModulePart, :enum_name do
# additional code like extra ecto schema fields
end
end
Now working with enums in Elixir, PostgreSQL or even SQLite is as simple as adding a component. ![]()
Anyone who depends on enumerated types can use Postgres adapter directly or Migration wrapper. With such features migrations are very easy to setup without a need to learn how to execute create type … sql. What’s best all migrations can be used safely on untrusted values. In my case I have used a test name as enum name. The adapter handles even the most weird cases. ![]()
defmodule ExampleMigration do
use Ecto.Migration
alias Enumex.Static.Adapters.Postgres
alias Enumex.Static.Migration
alias Enumex.Value
@first_value Value.new(ExampleEnum, :example, :firstt, 1)
@second_value Value.new(ExampleEnum, :example, :second, 2)
@third_value Value.new(ExampleEnum, :example, :third, 3)
def change do
Migration.create_enum(Postgres, [@first_value, @third_value])
Migration.rename_value(Postgres, @first_value, %{@first_value | id: :first})
# when rollback use `@first_value` as a default when dropping `:second` value from enumerated type
Migration.add_value(Postgres, @second_value, @first_value)
# when migrate use `@second_value` as a default when dropping `:third` value from enumerated type
Migration.drop_value(Postgres, @third_value, @second_value)
end
end
dimitarvp
It’s a good practice to just copy-paste some of the onboarding docs in the forum announcement. No need to give the forum readers homework – “go read the docs” – when you can make it easier for us to decide if we’re interested in using your thing.
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