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Elixir & Phoenix: Scalable Backend Development · Lesson

Lazy Evaluation with the Stream Module

Process large or infinite collections efficiently using Elixir streams, which compute values lazily on demand.

Lazy Evaluation with the Stream Module is a free Elixir & Phoenix: Scalable Backend Development lesson on CoddyKit — lesson 4 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Elixir & Phoenix: Scalable Backend Development learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.

Eager vs Lazy

Enum is eager: each step builds a full intermediate list. Stream is lazy: it composes operations and computes only when needed.

The Cost of Eager Pipelines

Chaining several Enum calls walks the whole collection multiple times and allocates a list at each stage.

1..1_000_000
|> Enum.map(&(&1 * 2))
|> Enum.filter(&(rem(&1, 3) == 0))
|> Enum.take(5)
|> IO.inspect()

Building a Stream

Swap Enum for Stream to defer work. Nothing runs until a consuming function is called.

stream =
  1..1_000_000
  |> Stream.map(&(&1 * 2))
  |> Stream.filter(&(rem(&1, 3) == 0))
IO.inspect(stream)

Forcing Evaluation

A stream stays inert until an Enum function (like take or to_list) pulls values through it.

result =
  1..1_000_000
  |> Stream.map(&(&1 * 2))
  |> Enum.take(5)
IO.inspect(result)

Why Streams Are Efficient

Lazy pipelines fuse the steps and stop as soon as enough elements are produced, avoiding huge intermediate lists.

Infinite Streams

Stream.iterate/2 creates endless sequences that are safe because evaluation is lazy.

Stream.iterate(0, &(&1 + 1))
|> Enum.take(5)
|> IO.inspect()

Stream.cycle for Repetition

Stream.cycle repeats a finite list forever, useful for assigning rotating values.

Stream.cycle(["a", "b", "c"])
|> Enum.take(7)
|> IO.inspect()

Generating with Stream.unfold

Stream.unfold/2 builds a stream from a state and a function returning the next value and new state.

Stream.unfold(1, fn n -> {n, n * 2} end)
|> Enum.take(5)
|> IO.inspect()

Streaming Files Line by Line

File.stream!/1 reads a file lazily, one line at a time, so you can process huge files with constant memory.

# File.stream!("big.log")
# |> Stream.filter(&String.contains?(&1, "ERROR"))
# |> Enum.count()

Stream.chunk_every

Group a stream into batches lazily, handy for paginating work without loading everything.

1..10
|> Stream.chunk_every(3)
|> Enum.to_list()
|> IO.inspect()

When to Choose Stream

Use Stream for large datasets, multi-step pipelines, infinite sequences, or IO. Use Enum for small collections where simplicity wins.

Quick Check

Test your lazy evaluation knowledge.

Recap

You learned lazy evaluation:

  • Enum is eager; Stream is lazy and composable
  • Streams compute only when consumed by an Enum function
  • They enable infinite sequences and constant-memory file processing
  • Prefer streams for large/multi-step pipelines, Enum for small data

Frequently asked questions

Is the “Lazy Evaluation with the Stream Module” lesson free?

Yes — the full text of “Lazy Evaluation with the Stream Module” is free to read here on the web, and the Elixir & Phoenix: Scalable Backend Development course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Elixir & Phoenix: Scalable Backend Development course, upgrade to CoddyKit PRO.

What will I learn in “Lazy Evaluation with the Stream Module”?

Process large or infinite collections efficiently using Elixir streams, which compute values lazily on demand. You practise Elixir & Phoenix: Scalable Backend Development with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.

Do I need any experience to start Elixir & Phoenix: Scalable Backend Development?

No prior experience is required. Elixir & Phoenix: Scalable Backend Development on CoddyKit is structured for beginners through advanced learners; this is — lesson 4 of 4, so you can start here or from the beginning and move at your own pace.

How long does the “Lazy Evaluation with the Stream Module” lesson take?

Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.

Can I write and run code in this Elixir & Phoenix: Scalable Backend Development lesson?

Yes. Every Elixir & Phoenix: Scalable Backend Development lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.

All lessons in this course

  1. Functions, Modules, and Pipelining
  2. Working with Enumerable Collections
  3. Recursion and Higher-Order Functions
  4. Lazy Evaluation with the Stream Module
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