Better Together: Unifying Datalog and Equality Saturation

We present egglog, a fixpoint reasoning system that unifies Datalog and equality saturation (EqSat). Like Datalog, it supports efficient incremental execution, cooperating analyses, and lattice-based reasoning. Like EqSat, it supports term rewriting, efficient congruence closure, and extraction of o...

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Bibliographic Details
Published inarXiv.org
Main Authors Zhang, Yihong, Yisu Remy Wang, Flatt, Oliver, Cao, David, Zucker, Philip, Rosenthal, Eli, Tatlock, Zachary, Willsey, Max
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 15.05.2023
Subjects
Floating point arithmetic
Reasoning
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Summary:We present egglog, a fixpoint reasoning system that unifies Datalog and equality saturation (EqSat). Like Datalog, it supports efficient incremental execution, cooperating analyses, and lattice-based reasoning. Like EqSat, it supports term rewriting, efficient congruence closure, and extraction of optimized terms. We identify two recent applications--a unification-based pointer analysis in Datalog and an EqSat-based floating-point term rewriter--that have been hampered by features missing from Datalog but found in EqSat or vice-versa. We evaluate egglog by reimplementing those projects in egglog. The resulting systems in egglog are faster, simpler, and fix bugs found in the original systems.
ISSN:2331-8422