[Demo] Low-latency Spark Queries on Updatable Data
Summary: Demo: Indexed DataFrame—cached Spark DataFrame with an integrated index for fast lookups and joins on updatable data. Supports multi-version concurrency for updates; evaluated on growing social-network graphs with microbenchmarks and real-world queries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Alexandru Uta (Vrije Universiteit Amsterdam)
- 2. Bogdan Ghit (Databricks)
- 3. Ankur Dave (University of California Berkeley)
- 4. Peter Boncz (Centrum Wiskunde & Informatica)
BibTeX Citation
@inproceedings{uta_sigmod19,
title = {{[Demo] Low-latency Spark Queries on Updatable Data}},
author = {Uta, Alexandru and Ghit, Bogdan and Dave, Ankur and Boncz, Peter},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3320227},
url = {https://dl.acm.org/doi/10.1145/3299869.3320227},
year = {2019}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,927 | Hyperspace: The Indexing Subsystem of Azure Synapse | 2021 | VLDB | 5.3483178e-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 |
|---|---|---|---|---|
| 24 | Spark SQL: Relational Data Processing in Spark | 2015 | SIGMOD | 0.00054865648 |
| 426 | The LDBC Social Network Benchmark: Interactive Workload | 2015 | SIGMOD | 0.00018692185 |
| 1,190 | Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark | 2018 | SIGMOD | 0.00011743246 |
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