Hyper Dimension Shuffle: Efficient Data Repartition at Petabyte Scale in SCOPE
Summary: Hyper Dimension Shuffle introduces a recursive, divide-and-conquer shuffle for petabyte-scale data in SCOPE. Recursive partitioning with intermediate aggregations yields quasilinear shuffling complexity and tight fan-out/fan-in guarantees, avoiding prior quadratic blowups. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shi Qiao (Microsoft)
- 2. Adrian Nicoara (Microsoft)
- 3. Jin Sun (Microsoft)
- 4. Marc Friedman (Microsoft)
- 5. Hiren Patel (Microsoft)
- 6. Jaliya Ekanayake (Microsoft)
BibTeX Citation
@article{qiao_vldb19,
title = {{Hyper Dimension Shuffle: Efficient Data Repartition at Petabyte Scale in SCOPE}},
author = {Qiao, Shi and Nicoara, Adrian and Sun, Jin and Friedman, Marc and Patel, Hiren and Ekanayake, Jaliya},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {10},
pages = {1113--1125},
doi = {10.14778/3339490.3339495},
url = {https://doi.org/10.14778/3339490.3339495},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,453 | Dremel: A Decade of Interactive SQL Analysis at Web Scale | 2020 | VLDB | 0.00010742227 |
| 5,390 | Magnet: Push-based Shuffle Service for Large-scale Data Processing | 2020 | VLDB | 6.2346971e-05 |
| 6,121 | The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward | 2021 | VLDB | 5.9688569e-05 |
| 6,194 | Incorporating Super-Operators in Big-Data Query Optimizers | 2020 | VLDB | 5.9470844e-05 |
| 6,946 | KEA: Tuning an Exabyte-Scale Data Infrastructure | 2021 | SIGMOD | 5.7309848e-05 |
| 7,762 | Runtime Variation in Big Data Analytics | 2023 | SIGMOD | 5.5501898e-05 |
| 8,439 | New Query Optimization Techniques in the Spark Engine of Azure Synapse | 2022 | VLDB | 5.4248071e-05 |
| 8,927 | Hyperspace: The Indexing Subsystem of Azure Synapse | 2021 | VLDB | 5.3483178e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 30 | SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets | 2008 | VLDB | 0.00051174276 |
| 120 | HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads | 2009 | VLDB | 0.00031680027 |
| 660 | Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing) | 2010 | VLDB | 0.00015198804 |
| 1,203 | NUMA-aware algorithms: the case of data shuffling | 2013 | CIDR | 0.00011671169 |
| 1,227 | Blink and It's Done: Interactive Queries on Very Large Data | 2012 | VLDB | 0.00011582387 |
| 2,207 | Shark: Fast Data Analysis Using Coarse-grained Distributed Memory | 2012 | SIGMOD | 8.9565862e-05 |
| 3,411 | Scaling Spark in the Real World: Performance and Usability | 2015 | VLDB | 7.436229e-05 |
| 3,605 | Computation Reuse in Analytics Job Service at Microsoft | 2018 | SIGMOD | 7.2640711e-05 |
| 7,709 | Quill: Efficient, Transferable, and Rich Analytics at Scale | 2016 | VLDB | 5.5628268e-05 |
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