Database Paper Browser

Back to papers

Optimizing Iceberg Queries with Complex Joins

Summary: Framework combining a-priori grouping, memoization, and pruning to optimize iceberg queries over complex joins. Formal correctness conditions, a practical rewrite algorithm, and a PostgreSQL prototype show speedups over baseline PostgreSQL and a commercial DB. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5429
Venue
SIGMOD
Year
2017
Pagerank
4.5937212e-05
Overall Rank
8,066 | 43.89%
DOI
10.1145/3035918.3064053

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers