Graphshard70 minData Engineer

Backfill Dependency DAG Recovery

Data Engineer signal: topological sort + cycle detection in a incremental backfill context. This is a ProdMatch-owned data engineer drill, framed as a April 2026 Meesho Data Reliability simulation, not a copied platform question.

Company context

Meesho · Data Reliability

Freshness

April 2026

Product surface

incremental backfill

ProdMatch interview simulation based on product-team patterns; not a claim of a real company question.

Question

You own incremental backfill for a Data Engineer loop. Given jobs and directed dependencies between them, return a valid execution order. If a cycle exists, return an empty list and identify that the rollout is blocked.

Input

n nodes labelled 0..n-1 and dependency pairs [before, after].

Output

A valid order of all nodes, or [] when dependencies contain a cycle.

Constraints

1 <= n <= 200000
0 <= dependencies.length <= 400000
The graph may be disconnected.

Concepts

stream windows
watermarks
lineage DAGs
topological sort
cycle detection
dependency graph

jobs: 4, deps: [[0,1],[0,2],[2,3]] -> [0,1,2,3] or [0,2,1,3]

Approach

Try framing your own approach first. The 30 seconds you think before peeking is where learning happens.

Clean Solution

Reveal the approach first.

How well did you understand?

Your rating tunes when this problem shows up again.

Common Mistakes

Mark visited when enqueueing, not after repeated dequeue.
Do not ignore disconnected components if the product surface can have them.

Next Similar Problems

Watermark Dependency DAG Recoverymedium Watermark Evidence Path Finderhard Lineage Dependency DAG Recoveryhard