Petabyte-Scale Row-Level Operations in Data Lakehouses
Summary: Adds petabyte-scale row-level updates/deletes to Iceberg+Spark via file-level materialization or lazy equality/position deletes. Avoids shuffles with storage-partitioned joins, cuts write amplification with runtime filters, and uses adaptive writes; shows use-case tradeoffs and ~10× gains. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Anton Okolnychyi (Apple)
- 2. Chao Sun (Apple)
- 3. Kazuyuki Tanimura (Apple)
- 4. Russell Spitzer (Apple)
- 5. Ryan Blue (Tabular)
- 6. Szehon Ho (Apple)
- 7. Yufei Gu (Apple)
- 8. Vishwanath Lakkundi (Apple)
- 9. DB Tsai (Apple)
BibTeX Citation
@article{okolnychyi_vldb24,
title = {{Petabyte-Scale Row-Level Operations in Data Lakehouses}},
author = {Okolnychyi, Anton and Sun, Chao and Tanimura, Kazuyuki and Spitzer, Russell and Blue, Ryan and Ho, Szehon and Gu, Yufei and Lakkundi, Vishwanath and Tsai, DB},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {4159--4172},
doi = {10.14778/3685800.3685834},
url = {https://doi.org/10.14778/3685800.3685834},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,378 | AutoComp: Automated Data Compaction for Log-Structured Tables in Data Lakes | 2025 | SIGMOD | 5.2755515e-05 |
| 10,976 | TreeCat: Standalone Catalog Engine for Large Data Systems | 2025 | VLDB | 5.093636e-05 |
| 11,006 | Magnus: A Holistic Approach to Data Management for Large-Scale Machine Learning Workloads | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 21 of 21 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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