Database Paper Browser

Back to papers

DeFiHap: Detecting and Fixing HiveQL Anti-Patterns

Summary: Empirical study identifies 38 HiveQL anti-patterns and their impact on performance. DeFiHap automates detection and repair via AST-based analysis and rule-based rewriting with perf-tuning; it detects 25 anti-patterns and suggests fixes for 17. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12443
Venue
VLDB
Year
2021
Pagerank
5.1725247e-05
Overall Rank
11,512 | 20.00%
DOI
10.14778/3476311.3476316

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
4,211 SQLCheck: Automated Detection and Diagnosis of SQL Anti-Patterns 2020 SIGMOD 6.8931007e-05
Previous Page 1 / 1 Next

Semantically Similar Papers