DBScholar

Back to papers

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)

Paper ID
12361
Venue
VLDB
Year
2020
Pagerank
5.093636e-05
Overall Rank
11,814 | 18.95%
DOI
10.14778/3415478.3415517

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{wang_vldb20,
        title = {{Demonstration of Interactive Runtime Debugging of Distributed Dataflows in Texera}},
        author = {Wang, Zuozhi and Kumar, Avinash and Ni, Shengquan and Li, Chen},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {12},
        pages = {2953--2956},
        doi = {10.14778/3415478.3415517},
        url = {https://doi.org/10.14778/3415478.3415517},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Previous Page 1 / 1 Next

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
3,675 RAMP: A System for Capturing and Tracing Provenance in MapReduce Workflows 2011 VLDB 7.2096638e-05
5,570 Debugging Big Data Analytics in Spark with BigDebug 2017 SIGMOD 6.1693312e-05
8,090 Amber: A Debuggable Dataflow System Based on the Actor Model 2020 VLDB 5.4890583e-05
Previous Page 1 / 1 Next

Semantically Similar Papers