Past Memory Big Data

Dec 24, 2024 · Big Data

Magnet: A Push‑Based Shuffle Service that Scales to Petabyte‑Level Data Processing

LinkedIn’s massive Spark workloads suffer from shuffle bottlenecks caused by tiny shuffle blocks, unreliable RPC connections, and data skew, so the authors design Magnet—a push‑merge shuffle service that merges blocks into large chunks, improves disk I/O, tolerates failures, and cuts end‑to‑end job time by nearly 30% regardless of hardware.