RASQL: A Powerful Language and its System for Big Data Applications
Summary: Recursive-aggregate SQL (RaSQL) extends SQL with aggregates in recursion to express advanced analytics on Spark. Demonstrates formal semantics, diverse examples (graph search, ML), and a user-friendly interface for expressing and monitoring complex declarative algorithms. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Jin Wang
- 2. Guorui Xiao
- 3. Jiaqi Gu
- 4. Jiacheng Wu
- 5. Carlo Zaniolo
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,883 | Optimizing Parallel Recursive Datalog Evaluation on Multicore Machines | 2022 | SIGMOD | 4.4285471e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 66 | Spark SQL: Relational Data Processing in Spark | 2015 | SIGMOD | 0.00061639801 |
| 2,919 | RaSQL: Greater Power and Performance for Big Data Analytics with Recursive-aggregate-SQL on Spark | 2019 | SIGMOD | 7.9047279e-05 |
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