AJoin: Ad-hoc Stream Joins at Scale
Summary: AJoin is a dynamic, incremental ad-hoc stream-join framework that interleaves runtime plan reoptimization (reordering, scaling) with a pipeline-parallel processing engine. Implemented on Apache Flink, it enables continuous optimization-driven execution and outperforms Flink on multi-query and single-query workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jeyhun Karimov
- 2. Tilmann Rabl
- 3. Volker Markl
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,469 | Materialization and Reuse Optimizations for Production Data Science Pipelines | 2022 | SIGMOD | 5.0519488e-05 |
| 7,701 | Resource-efficient Shared Query Execution via Exploiting Time Slackness | 2021 | SIGMOD | 4.6741329e-05 |
| 8,611 | Efficient Incrementialization of Correlated Nested Aggregate Queries using Relative Partial Aggregate Indexes (RPAI) | 2022 | SIGMOD | 4.4852886e-05 |
| 10,274 | Incremental Stream Query Deployment under Continuous Infrastructure Changes in the Cloud-Edge Continuum | 2026 | VLDB | 4.1945683e-05 |
| 10,468 | AJOSC: Adaptive Join Order Selection for Continuous Queries | 2025 | SIGMOD | 4.1945683e-05 |
| 10,890 | Oligolithic Cross-task Optimizations across Isolated Workloads* | 2024 | CIDR | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 25 of 25 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,717 | Approximate Join Processing Over Data Streams | 2003 | SIGMOD | 0.00010793312 |
| 4,132 | Advanced Join Strategies for Large-Scale Distributed Computation | 2014 | VLDB | 6.4241067e-05 |
| 1,429 | A Scalable, Predictable Join Operator for Highly Concurrent Data Warehouses | 2009 | VLDB | 0.00012033518 |
| 6,436 | Providing Streaming Joins as a Service at Facebook | 2018 | VLDB | 5.0636254e-05 |
| 6,476 | Parallel Index-based Stream Join on a Multicore CPU | 2020 | SIGMOD | 5.0496617e-05 |
| 1,233 | Maximizing the Output Rate of Multi-Way Join Queries over Streaming Information Sources | 2003 | VLDB | 0.0001313363 |
| 10,967 | Low-Latency Adaptive Distributed Stream Join System Based on a Flexible Join Model | 2024 | SIGMOD | 4.1945683e-05 |
| 3,382 | Scalable and Adaptive Online Joins | 2014 | VLDB | 7.1597145e-05 |
| 4,167 | Scalable Distributed Stream Join Processing | 2015 | SIGMOD | 6.3919506e-05 |
| 6,759 | AStream: Ad-hoc Shared Stream Processing | 2019 | SIGMOD | 4.9352213e-05 |