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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)

Paper ID
12776
Venue
VLDB
Year
2022
Pagerank
0.00011071662
Overall Rank
1,631 | 88.67%
DOI
10.14778/3551793.3551841

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Rank Citing Paper Year Venue Pagerank
366 Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation 2024 VLDB 0.00025580097
1,088 Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes 2024 VLDB 0.00014158762
3,982 How Large Language Models Will Disrupt Data Management 2023 VLDB 6.5595332e-05
4,916 From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management 2022 VLDB 5.827729e-05
5,506 Can Large Language Models Predict Data Correlations from Column Names? 2023 VLDB 5.4711611e-05
6,712 Demonstrating GPT-DB: Generating Query-Specific and Customizable Code for SQL Processing with GPT-4 2023 VLDB 4.9474017e-05
7,676 E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model 2025 VLDB 4.6770108e-05
7,887 SQLStorm: Taking Database Benchmarking into the LLM Era 2025 VLDB 4.6218382e-05
9,005 Demonstrating SQLBarber: Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads 2025 SIGMOD 4.407457e-05
9,960 QueryArtisan: Generating Data Manipulation Codes for Ad-hoc Analysis in Data Lakes 2025 VLDB 4.2254157e-05
10,093 MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration 2026 SIGMOD 4.1905499e-05
10,212 SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads 2026 SIGMOD 4.1905499e-05
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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 0.0040465394
71 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059446482
101 The Case for Learned Index Structures 2018 SIGMOD 0.00049778866
203 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00034868567
329 Neo: A Learned Query Optimizer 2019 VLDB 0.00027301488
535 ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores 2016 VLDB 0.00020718836
565 NaLIR: An Interactive Natural Language Interface for Querying Relational Databases 2014 SIGMOD 0.00019945986
2,348 RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation 2021 VLDB 8.9903659e-05
3,765 Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins 2022 VLDB 6.7760748e-05
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