This artifact contains: the SQPyte prototype, a JIT for executing SQLite queries; and PyPy-SQPyte, a version of the PyPy Python VM which embeds SQPyte. In addition, a benchmark suite is included, which allows performance comparison against standard SQLite and the Java embedded database H2.
@Article{bolz_et_al:DARTS.2.1.2, author = {Bolz, Carl Friedrich and Kurilova, Darya and Tratt, Laurence}, title = {{Making an Embedded DBMS JIT-friendly (Artifact)}}, pages = {2:1--2:2}, journal = {Dagstuhl Artifacts Series}, ISSN = {2509-8195}, year = {2016}, volume = {2}, number = {1}, editor = {Bolz, Carl Friedrich and Kurilova, Darya and Tratt, Laurence}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/DARTS.2.1.2}, URN = {urn:nbn:de:0030-drops-61233}, doi = {10.4230/DARTS.2.1.2}, annote = {Keywords: DBMSs, JIT, performance, tracing} }
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