EDBT 2026 Demo / reviewers in the wild / expert
Yugo H. Watanabe
dblp:243/2374
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Query processing and optimization · 61% Data models and query languages · 30% Graph data management · 9% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Query processing and optimization › recursive query
recursive aggregate SQL |
0.4 | 1 | 2019 | RaSQL: Greater Power and Performance for Big Data Analytics with Recursive-aggregate-SQL on Spark · SIGMOD Conference 2019 |
Query processing and optimization
recursive query |
0.4 | 1 | 2019 | RaSQL: Greater Power and Performance for Big Data Analytics with Recursive-aggregate-SQL on Spark · SIGMOD Conference 2019 |
Data models and query languages › SQL
SQL extension |
0.4 | 1 | 2019 | RaSQL: Greater Power and Performance for Big Data Analytics with Recursive-aggregate-SQL on Spark · SIGMOD Conference 2019 |
Methods — techniques the papers use, named apart from their topics
fixpoint computation · 0.4compiler optimization · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | RaSQL: Greater Power and Performance for Big Data Analytics with Recursive-aggregate-SQL on SparkabstractThanks to a simple SQL extension, Recursive-aggregate-SQL (RaSQL) can express very powerful queries and declarative algorithms, such as classical graph algorithms and data mining algorithms. A novel compiler implementation allows RaSQL to map declarative queries into one basic fixpoint operator supporting aggregates in recursive queries. A fully optimized implementation of this fixpoint operator leads to superior performance, scalability and portability. Thus, our RaSQL system, which extends Spark SQL with the before-mentioned new constructs and implementation techniques, matches and often surpasses the performance of other systems, including Apache Giraph, GraphX and Myria. Jiaqi Gu 0001, Yugo H. Watanabe, William A. Mazza, Alexander Shkapsky, Mohan Yang, Ling Ding 0002, Carlo Zaniolo |
SIGMOD Conference | 2 |