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Running Apache Spark on a High-Performance Cluster Using RDMA and NVMe Flash - Patrick Stuedi

1,840 views · Published 8 June 2017 · 30:35 · Indexed 3 October 2026

Channel: Databricks · 2017 · Science & Technology

Effectively leveraging fast networking and storage hardware (e.g., RDMA, NVMe, etc.) in Apache Spark remains challenging. Current ways to integrate the hardware at the operating system level fall short, as the hardware performance advantages are shadowed by higher layer software overheads. This session will show how to integrate RDMA and NVMe hardware in Spark in a way that allows applications to bypass both the operating system and the Java virtual machine during I/O operations. With such an approach, the hardware performance advantages become visible at the application level, and eventually translate into workload runtime improvements. Stuedi will demonstrate how to run various Spark workloads (e.g, SQL, Graph, etc.) effectively on 100Gbit/s networks and NVMe flash.

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Running Apache Spark on a High-Performance Cluster Using RDMA and NVMe Flash - Patrick Stuedi

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