Virtualizing Recursion: Just-In-Time Graph Analytics in a Hyperscale Relational Warehouse
Summary: Ocient virtualizes recursive SQL in a hyperscale MPP warehouse, avoiding heavyweight recursive operators and consensus-bound ephemeral tables. A JIT runtime switches intermediate results between in-memory CTEs and NVMe, enabling 100B-edge graph analytics and serving as a GQL/SQL:2023 target. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Jason Arnold (Ocient)
- 2. Knut Stolze (Ocient)
BibTeX Citation
@article{arnold_vldb26,
title = {{Virtualizing Recursion: Just-In-Time Graph Analytics in a Hyperscale Relational Warehouse}},
author = {Arnold, Jason and Stolze, Knut},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4103--4115},
doi = {10.14778/3827998.3828019},
url = {https://doi.org/10.14778/3827998.3828019},
year = {2026}
}
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