A Scalable, Predictable Join Operator for Highly Concurrent Data Warehouses
Summary: Scalable join operator with a single shared plan serving multiple joins, sharing I/O, compute, and storage. Always-on, nonblocking pipeline and runtime controller adapt to query mix for predictable, high-throughput execution under concurrency. (summarized by gpt-5-nano on Feb 09 2026)
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,382 | Scalable and Adaptive Online Joins | 2014 | VLDB | 7.1597145e-05 |
| 9,583 | Reactive and Proactive Sharing Across Concurrent Analytical Queries | 2014 | SIGMOD | 4.3219514e-05 |
| 3,898 | Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment | 2021 | VLDB | 6.6551268e-05 |
| 6,324 | Revisiting Pipelined Parallelism in Multi-Join Query Processing | 2005 | VLDB | 5.1109987e-05 |
| 7,839 | Effective Resource Utilization for Multiprocessor Join Execution | 1989 | VLDB | 4.637294e-05 |
| 4,261 | Parallelizing Query Optimization | 2008 | VLDB | 6.31244e-05 |
| 2,044 | Optimization of Multi-Way Join Queries for Parallel Execution | 1991 | VLDB | 9.6953608e-05 |
| 1,939 | From Theory to Practice: Efficient Join Query Evaluation in a Parallel Database System | 2015 | SIGMOD | 0.00010025655 |
| 5,293 | MQJoin: Efficient Shared Execution of Main-Memory Joins | 2016 | VLDB | 5.5815698e-05 |
| 4,959 | Sharing Data and Work Across Concurrent Analytical Queries | 2013 | VLDB | 5.8029448e-05 |