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Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations

Summary: TDE turns data transformation into search-by-example: it indexes reusable logic from code, DLLs, web services, and mapping tables. Given I/O examples, it interactively synthesizes matching programs, achieving 72% accuracy on 200+ tasks. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h12afc176af22e3ae
Venue
VLDB
Year
2018
Pagerank
8.0458815e-05
Overall Rank
2,746 | 81.60%
DOI
10.14778/3231751.3231766

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{he_vldb18,
        title = {{Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations}},
        author = {He, Yeye and Chu, Xu and Ganjam, Kris and Zheng, Yudian and Narasayya, Vivek and Chaudhuri, Surajit},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {10},
        pages = {1165--1177},
        doi = {10.14778/3231751.3231766},
        url = {https://doi.org/10.14778/3231751.3231766},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 21 of 21 citing papers.

Rank Citing Paper Year Venue Pagerank
323 Can Foundation Models Wrangle Your Data? 2023 VLDB 0.00021022156
1,669 Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks 2024 SIGMOD 9.9157758e-05
2,645 Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks 2020 SIGMOD 8.1641056e-05
2,752 Uni-Detect: A Unified Approach to Automated Error Detection in Tables 2019 SIGMOD 8.0387193e-05
4,005 Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search 2021 VLDB 6.8448428e-05
4,079 QueryBooster: Improving SQL Performance Using Middleware Services for Human-Centered Query Rewriting 2023 VLDB 6.8026178e-05
4,444 Auto-Transform: Learning-to-Transform by Patterns 2020 VLDB 6.5812416e-05
4,740 Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples 2023 VLDB 6.429338e-05
5,117 Towards Benchmarking Feature Type Inference for AutoML Platforms 2021 SIGMOD 6.2551509e-05
5,120 Explaining Dataset Changes for Semantic Data Versioning with Explain-Da-V 2023 VLDB 6.254003e-05
5,654 DTT: An Example-Driven Tabular Transformer for Joinability by Leveraging Large Language Models 2024 SIGMOD 6.0324041e-05
7,076 How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses 2024 VLDB 5.5909675e-05
7,548 Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence 2025 VLDB 5.481283e-05
7,802 Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations 2024 SIGMOD 5.4336348e-05
7,946 TabulaX: Leveraging Large Language Models for Multi-Class Table Transformations 2025 VLDB 5.404949e-05
10,496 BAT: Target-Instance-Free Data Preparation Synthesis via LLM-Driven Tree Search 2026 SIGMOD 4.9605343e-05
10,939 DeepPrep: An LLM-Powered Agentic System for Autonomous Data Preparation 2026 VLDB 4.9605343e-05
11,334 Weak-to-Strong Prompts with Lightweight-to-Powerful LLMs for High-Accuracy, Low-Cost, and Explainable Data Transformation 2025 VLDB 4.9605343e-05
11,751 LinCQA: Faster Consistent Query Answering with Linear Time Guarantees 2023 SIGMOD 4.9605343e-05
11,855 DataRinse: Semantic Transforms for Data preparation based on Code Mining 2023 VLDB 4.9605343e-05
11,900 SPINE: Scaling up Programming-by-Negative-Example for String Filtering and Transformation 2022 SIGMOD 4.9605343e-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.

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