Better Together: Unifying Datalog and Equality Saturation

Author:

Zhang Yihong1ORCID,Wang Yisu Remy1ORCID,Flatt Oliver1ORCID,Cao David2ORCID,Zucker Philip3ORCID,Rosenthal Eli4ORCID,Tatlock Zachary1ORCID,Willsey Max1ORCID

Affiliation:

1. University of Washington, USA

2. University of California at San Diego, USA

3. Draper Laboratory, USA

4. Google, USA

Abstract

We present egglog, a fixpoint reasoning system that unifies Datalog and equality saturation (EqSat). Like Datalog, egglog supports efficient incremental execution, cooperating analyses, and lattice-based reasoning. Like EqSat, egglog 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 our system by reimplementing those projects in egglog. The resulting systems in egglog are faster, simpler, and fix bugs found in the original systems.

Funder

National Science Foundation

U.S. Department of Energy

Defense Advanced Research Projects Agency

Publisher

Association for Computing Machinery (ACM)

Subject

Safety, Risk, Reliability and Quality,Software

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