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Dedupe a paged feed by id

Toss-up

Requirement

A product feed arrives in three pages whose boundaries overlap, so some items appear on two pages. Flatten the pages and print each item exactly once — first occurrence wins, arrival order kept — keyed by its numeric id. The pages are in the code; both versions must print the lines shown under Expected output.

Expected output
#101 Desk lamp
#102 Notebook
#103 Pen set
#104 Stapler
#105 Monitor arm
#106 Desk mat

Side by side

RxDart

FxDart

Why they differ

The interesting fact is where the duplicates sit. The page boundaries overlap, so a repeated id arrives on a different page — never next to its first occurrence once the pages are flattened. That is exactly the job plain Stream.distinct silently gets wrong: it is adjacent-only, so on this feed it would wave every repeat straight through. The dedup here needs a whole-feed memory, while the flattening itself is fluent in both models — expand on the stream, flatMap on the pull chain.

As in the unique-visitors pair, the global dedup is distinctUnique against uniqBy — an equals/hashCode pair versus one key function — and the adjacent-vs-global naming split is the one the status-changes page walks through. Both sides keep the same set of seen keys and preserve first-arrival order, so the verdict is a tie — the pull version just stays synchronous because the pages are sitting in a local list.

Benchmark

Apple M1 Max, 32 GB RAM · Dart 3.12.2 (AOT-compiled) · 2026-08-18

N = 100

Time Tie

RxDart 25 µs
FxDart 12 µs

Peak memory Tie

RxDart 16.5 MB
FxDart 16.5 MB

N = 1,000,000

Time FxDart wins

RxDart 319.5 ms
FxDart 204.1 ms

Peak memory FxDart wins

RxDart 302.1 MB
FxDart 241.0 MB

Bars are medians of repeated timed iterations in fresh processes per side (small N is batched for timer resolution). Sides within 5% of each other — or within 0.6 ms, a difference no person can perceive — count as a tie; close relative races are re-measured up to 5 runs. In an app, anything under a few milliseconds is invisible to the user regardless of which bar is shorter. Memory is peak process RSS. The Dart VM and the dataset are identical on both sides, so the difference between the two bars is what the pipeline itself holds onto.