SQL:Trek Automated Index Design at Airbnb
Summary: SQL:Trek: external index tuner using optimizer cost models plus lightweight-simulation execution to propose and validate indexes and cut false positives. No DB-internal changes, works on MySQL/Postgres derivatives, analyzes most workloads <5 min and yields substantial, safe speedups. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Sam Lightstone
- 2. Ping Wang
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 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 71 | How Good Are Query Optimizers, Really? | 2016 | VLDB | 0.00059446482 |
| 160 | Automated Selection of Materialized Views and Indexes for SQL Databases | 2000 | VLDB | 0.00040053897 |
| 237 | An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server | 1997 | VLDB | 0.00031727601 |
| 258 | DB2 Design Advisor: Integrated Automatic Physical Database Design | 2004 | VLDB | 0.00030196528 |
| 339 | OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases | 2014 | VLDB | 0.00026895683 |
| 662 | Database Tuning Advisor for Microsoft SQL Server 2005 | 2004 | VLDB | 0.00018478597 |
| 1,856 | AI Meets AI: Leveraging Query Executions to Improve Index Recommendations | 2019 | SIGMOD | 0.00010319105 |
| 2,050 | Automatically Indexing Millions of Databases in Microsoft Azure SQL Database | 2019 | SIGMOD | 9.6883066e-05 |
| 7,591 | Automated design of multidimensional clustering tables for relational databases | 2004 | VLDB | 4.6986414e-05 |
Previous
Page 1 / 1
Next