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Perfopticon: Visual Query Analysis for Distributed Databases
2015
Computer graphics forum (Print)
Figure 1: Perfopticon visualizing a recorded query execution that estimates species abundance in an oceanography dataset. The left panel displays the optimized query execution plan. The right panel includes (top) a divided bar chart showing the runtime contribution of individual query operators, and (bottom) a focus+context view of detailed per-worker execution traces. Abstract Distributed database performance is often unpredictable due to issues such as system complexity, network congestion,
doi:10.1111/cgf.12619
fatcat:k5ej72pn3nbjpmvlrrmhpq4x3u