EDBT 2026 Demo / reviewers in the wild / expert
Deepa Shree Chickballapur Venkatachalapathi
dblp:441/1472
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0006-0132-8173ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 since 2021
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 · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Query processing and optimization › query optimization
interesting order |
1.0 | 1 | 2026 | Offset-Value Coding in Database Query Execution · ACM Trans. Database Syst. 2026 |
Query processing and optimization
query execution |
1.0 | 1 | 2026 | Offset-Value Coding in Database Query Execution · ACM Trans. Database Syst. 2026 |
Query processing and optimization
query optimization |
1.0 | 1 | 2026 | Offset-Value Coding in Database Query Execution · ACM Trans. Database Syst. 2026 |
Query processing and optimization › query execution › query operator implementation
sorting in query processing |
1.0 | 1 | 2026 | Offset-Value Coding in Database Query Execution · ACM Trans. Database Syst. 2026 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Offset-Value Coding in Database Query ExecutionabstractOffset-value codes are surrogate keys and thus akin to hash values. For decades, offset-value codes have sped up internal and external merge sort; recent work has introduced them into database query execution. This article reports on their performance effects in individual query execution algorithms and in entire query plans, showing their substantial performance benefits over traditional sort-based query execution. Beyond speeding up comparisons in sort-based query algorithms such as merge join and in-stream duplicate removal, offset-value codes can be shared in pipelines of operators in exactly the same places where query optimization can exploit interesting orderings. This includes not only scans of ordered storage structures such as b-trees but also reassembly of complex application objects from database relations in normal forms. New experiments show the value of combining the proven performance benefits of interesting orderings and those of surrogate keys such as hash values and, now, offset-value codes. Goetz Graefe, Soumya Sistla, Deepa Shree Chickballapur Venkatachalapathi |
ACM Trans. Database Syst. | 3 |