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Debugging Big Data Analytics in Spark with BigDebug

Summary: BigDebug adds interactive debugging to Apache Spark, addressing the postmortem log-only debugging gap in DISC systems. Demo of a tool with interactive, live debugging features for Big Data apps. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5433
Venue
SIGMOD
Year
2017
Pagerank
6.1693312e-05
Overall Rank
5,570 | 61.79%
DOI
10.1145/3035918.3058737

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{gulzar_sigmod17,
        title = {{Debugging Big Data Analytics in Spark with BigDebug}},
        author = {Gulzar, Muhammad Ali and Interlandi, Matteo and Condie, Tyson and Kim, Miryung},
        series = {{SIGMOD} '17},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3035918.3058737},
        url = {https://dl.acm.org/doi/10.1145/3035918.3058737},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
8,090 Amber: A Debuggable Dataflow System Based on the Actor Model 2020 VLDB 5.4890583e-05
11,814 Demonstration of Interactive Runtime Debugging of Distributed Dataflows in Texera 2020 VLDB 5.093636e-05
11,842 Ariadne: Online Provenance for Big Graph Analytics 2019 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,617 Titian: Data Provenance Support in Spark 2016 VLDB 0.00010209397
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