QueryFormer: A Tree Transformer Model for Query Plan Representation
Summary: QueryFormer, a tree-structured Transformer, encodes query plans, addressing long information paths and parent-child dependencies. It integrates histogram statistics into plan encoding and yields improvements across four ML-based optimization tasks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yue Zhao (Nanyang Technological University)
- 2. Gao Cong (Nanyang Technological University)
- 3. Jiachen Shi (Nanyang Technological University)
- 4. Chunyan Miao (Nanyang Technological University)
BibTeX Citation
@article{zhao_vldb22,
title = {{QueryFormer: A Tree Transformer Model for Query Plan Representation}},
author = {Zhao, Yue and Cong, Gao and Shi, Jiachen and Miao, Chunyan},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {8},
pages = {1658--1670},
doi = {10.14778/3529337.3529349},
url = {https://doi.org/10.14778/3529337.3529349},
year = {2022}
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