Transforming Success — map and its Friends
You have an effect. It produces some value. But you want a different value — or a different error. That’s what map and map_error are for.
map
map transforms the success value without running any new effects:
use effectful::{succeed, Effect};
let number: Effect<i32, String, ()> = succeed(21);
let doubled: Effect<i32, String, ()> = number.map(|n| n * 2);
let text: Effect<String, String, ()> = doubled.map(|n| n.to_string());
None of these .map() calls executes anything. Each one wraps the previous description in a new layer: “and then transform the result with this function.” The chain of transformations only runs when you call run_blocking or similar.
The type of the effect changes with each map. The A parameter shifts:
// Effect<i32, String, ()>
// .map(|n: i32| n.to_string())
// → Effect<String, String, ()>
The E (error type) and R (requirements) stay the same. .map touches only the success path.
map_error
map_error transforms the failure type, leaving the success path untouched:
use effectful::fail;
#[derive(Debug)]
struct AppError(String);
let db_err: Effect<String, String, ()> = fail("db connection failed".to_string());
let app_err: Effect<String, AppError, ()> = db_err.map_error(|s| AppError(s));
This is typically used at module boundaries when you need to unify error types. A database layer might return DbError, but your application layer needs AppError. map_error does the conversion without touching anything else.
Why These Don’t Execute Anything
It’s worth repeating: neither map nor map_error runs any computation.
let effect = succeed(42)
.map(|n| { println!("mapping!"); n + 1 })
.map(|n| n * 2);
// At this point: nothing has printed, nothing has computed.
// We have a description of three steps.
let result = run_blocking(effect, ());
// NOW the effect runs. "mapping!" prints once. Result is 86.
This is the promise of laziness: you can build pipelines of transformations without triggering side effects until the moment you choose.
Combining map and map_error
A common pattern is calling both to normalise an effect into your domain’s types:
fn fetch_user_record(id: u64) -> Effect<User, AppError, ()> {
raw_db_fetch(id)
.map(|row| User::from_row(row))
.map_error(|e| AppError::Database(e))
}
The effect goes in with raw DB types; it comes out with domain types. The transformation chain documents the conversion at a glance.
and_then / and_then_discard
Two more helpers are worth knowing:
// and_then: sequence two effects, keep the second result
let validated: Effect<i32, String, ()> = succeed(42)
.and_then(succeed(100));
// and_then_discard: sequence two effects, keep the first result
let kept_left: Effect<i32, String, ()> = succeed(42)
.and_then_discard(succeed(()));
Use flat_map when the second effect depends on the first value.
Summary
| Method | Changes | Does not change |
|---|---|---|
.map(f) | A (success type) | E, R |
.map_error(f) | E (error type) | A, R |
.tap(f) | nothing | A, E, R |
None of them execute the effect. They all return new, larger descriptions.