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Running Remote Shuffle Service to Solve a Well-Known Challenge for Apa...

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Kubernetes Spark offloads shuffle data to an open remote shuffle service (Apache Calon / RSS) to decouple storage and compute, enabling true dynamic executor scaling. Tests show default shuffle-tracking (60s) wastes nodes, aggressive timeout (5s) causes fetch failures, while using Calon with executor idle timeout 10s yields responsive scaling and lower recompute. Two deployment modes exist (standalone or in-cluster) and benchmarking reports up to 38% cost savings with Apache Calon integration.

AI-written summary · about

  1. 0:00Introduction and overview
  2. 3:02Spark on Kubernetes basics
  3. 4:34Challenges of dynamic allocation
  4. 13:42Apache Celeborn solution
  5. 19:27Deep dive into Celeborn
  6. 37:30Q&A session
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