Demonstration of Interactive Runtime Debugging of Distributed Dataflows in Texera
Summary: Interactive runtime debugging of distributed dataflows in Texera via GUI; pause/resume and conditional breakpoints. Showcases scalable, fault-tolerant execution with on-the-fly operator changes to avoid long-running analytics' dark execution. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Zuozhi Wang
- 2. Avinash Kumar
- 3. Shengquan Ni
- 4. Chen Li
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,220 | Demonstration of Collaborative and Interactive Workflow-Based Data Analytics in Texera | 2022 | VLDB | 5.3626458e-05 |
| 9,779 | Demonstration of Accelerating Machine Learning Inference Queries with Correlative Proxy Models | 2022 | VLDB | 5.2743647e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,618 | RAMP: A System for Capturing and Tracing Provenance in MapReduce Workflows | 2011 | VLDB | 7.3220124e-05 |
| 5,496 | Debugging Big Data Analytics in Spark with BigDebug | 2017 | SIGMOD | 6.2651683e-05 |
| 7,937 | Amber: A Debuggable Dataflow System Based on the Actor Model | 2020 | VLDB | 5.5792614e-05 |
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