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Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search

Summary: Auto-Pipeline synthesizes data pipelines (string transforms + table ops) via DRL and search, guided by a by-target interface to a target output. Uses FDs and keys to prune the space; evaluated on 700 real pipelines, ~70% solved with up to 10 steps. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12431
Venue
VLDB
Year
2021
Pagerank
5.5393038e-05
Overall Rank
5,383 | 62.56%
DOI
10.14778/3476249.3476303

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