Mochi: Visual Log-Analysis Based Tools for Debugging Hadoop (CMU-PDL-09-103)
Jiaqui Tan, Xinghao Pan, Soila P. Kavulya, Rajeev Gandhi, Priya Lakshmi Narasimhan · Figshare · 2018
Mochi, a new visual, log-analysis based debugging tool correlates Hadoop’s behavior in space, time and volume, and extracts a causal, unified control- and data-flow model of Hadoop across the nodes of a cluster. Mochi’s analysis produces visualizations of Hadoop’s behavior using which users can reason about and debug performance issues. We provide examples of Mochi’s value in revealing a Hadoop job’s structure, in optimizing real-world workloads, and in identifying anomalous Hadoop behavior, on the Yahoo! M45 Hadoop cluster.