CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex
Summary: CodexDB leverages GPT-3 Codex to synthesize query-processing code from natural-language instructions. Decomposing complex SQL into stepwise, NL-described processing stages augmented by user guidance and database properties; prototype attains 81% WikiSQL and 62% SPIDER. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Immanuel Trummer (Cornell University)
BibTeX Citation
@article{trummer_vldb22,
title = {{CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex}},
author = {Trummer, Immanuel},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {11},
pages = {2921--2928},
doi = {10.14778/3551793.3551841},
url = {https://doi.org/10.14778/3551793.3551841},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 12 of 12 citing papers.
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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 |
|---|---|---|---|---|
| 1 | Access Path Selection in a Relational Database Management System | 1979 | SIGMOD | 0.0024089429 |
| 18 | How Good Are Query Optimizers, Really? | 2016 | VLDB | 0.00059284255 |
| 43 | The Case for Learned Index Structures | 2018 | SIGMOD | 0.00046060254 |
| 84 | Learned Cardinalities: Estimating Correlated Joins with Deep Learning | 2019 | CIDR | 0.00035838391 |
| 154 | Neo: A Learned Query Optimizer | 2019 | VLDB | 0.00028726181 |
| 459 | ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores | 2016 | VLDB | 0.00018101318 |
| 555 | NaLIR: An Interactive Natural Language Interface for Querying Relational Databases | 2014 | SIGMOD | 0.00016568053 |
| 2,019 | RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation | 2021 | VLDB | 9.2983994e-05 |
| 3,589 | Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins | 2022 | VLDB | 7.2812353e-05 |
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