Adaptive and Big Data Scale Parallel Execution in Oracle
Summary: Oracle’s adaptive parallel execution uses multi-stage plans and runtime data/statistics to correct optimizer errors and dynamically choose parallelism and distribution for joins, aggregates, rollups, and windows. It also parallelizes inherently serial operators at big-data scale. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Srikanth Bellamkonda (Oracle)
- 2. Hua-Gang Li (Oracle)
- 3. Unmesh Jagtap (Oracle)
- 4. Yali Zhu (Oracle)
- 5. Vince Liang (Oracle)
- 6. Thierry Cruanes (Oracle)
BibTeX Citation
@article{bellamkonda_vldb13,
title = {{Adaptive and Big Data Scale Parallel Execution in Oracle}},
author = {Bellamkonda, Srikanth and Li, Hua-Gang and Jagtap, Unmesh and Zhu, Yali and Liang, Vince and Cruanes, Thierry},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {11},
pages = {1102--1113},
doi = {10.14778/2536222.2536235},
url = {https://doi.org/10.14778/2536222.2536235},
year = {2013}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 15 | How Good Are Query Optimizers, Really? | 2016 | VLDB | 0.00061066921 |
| 215 | Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age | 2014 | SIGMOD | 0.00024598661 |
| 3,427 | Efficient Processing of Window Functions in Analytical SQL Queries | 2015 | VLDB | 7.3082914e-05 |
| 8,082 | Krypton: Real-time Serving and Analytical SQL Engine at ByteDance | 2023 | VLDB | 5.3942942e-05 |
| 9,013 | Learning-based Property Estimation with Polynomials | 2024 | SIGMOD | 5.2375369e-05 |
| 10,318 | Out-of-order Execution of Database Queries | 2020 | VLDB | 5.0367346e-05 |
| 10,917 | No Silver Bullet: Boosting GaussDB Performance on the 30TB TPC-H Workload | 2026 | VLDB | 4.9793485e-05 |
| 11,777 | Anser: Adaptive Information Sharing Framework of AnalyticDB | 2023 | VLDB | 4.9793485e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11 | Implementing Data Cubes Efficiently | 1996 | SIGMOD | 0.00071084324 |
| 210 | Sort vs. Hash Revisited: Fast Join Implementation on Modern Multi-Core CPUs | 2009 | VLDB | 0.00024851502 |
| 214 | On the Computation of Multidimensional Aggregates | 1996 | VLDB | 0.00024656893 |
| 1,670 | Handling Data Skew in Parallel Joins in Shared-Nothing Systems | 2008 | SIGMOD | 9.9318041e-05 |
| 2,045 | WinMagic : Subquery Elimination Using Window Aggregation | 2003 | SIGMOD | 9.1329128e-05 |
| 2,108 | Enhanced Subquery Optimizations in Oracle | 2009 | VLDB | 9.0272361e-05 |
| 3,833 | Optimization of Analytic Window Functions | 2012 | VLDB | 6.9942782e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,136 | Optimization of Multi-Way Join Queries for Parallel Execution | 1991 | VLDB |
| 2 | 3,775 | Parallelizing Query Optimization | 2008 | VLDB |
| 3 | 7,843 | Oracle In-Database Hadoop: When MapReduce Meets RDBMS | 2012 | SIGMOD |
| 4 | 1,271 | Managing Intra-operator Parallelism in Parallel Database Systems | 1995 | VLDB |
| 5 | 11,617 | Grouping, Subsumption, and Disjunctive Join Optimizations in Oracle | 2024 | VLDB |
| 6 | 2,108 | Enhanced Subquery Optimizations in Oracle | 2009 | VLDB |
| 7 | 1,292 | From Theory to Practice: Efficient Join Query Evaluation in a Parallel Database System | 2015 | SIGMOD |
| 8 | 1,628 | Adaptive Parallel Aggregation Algorithms | 1995 | SIGMOD |
| 9 | 3,084 | On Parallel Processing of Aggregate and Scalar Functions in Object-Relational DBMS | 1998 | SIGMOD |
| 10 | 4,708 | Parallel SQL Execution in Oracle 10g | 2004 | SIGMOD |