While DataBase Management Systems (DBMSs) are highly optimized, interactions across the Programming Language (PL) / DBMS boundary are costly, even for in-process embedded DBMSs. In this paper we show that programs that interact with the widely-used embedded DBMS SQLite can be significantly optimized – by a factor of 3.4 in our benchmarks – by inlining across the PL / DBMS boundary. We achieved this speed-up by replacing parts of SQLite's C interpreter with RPython code and composing the resulting meta-tracing VM – called SQPyte – with the PyPy VM. SQPyte does not compromise stand-alone SQL performance: it is 2.2% faster than SQLite on the widely used TPC-H benchmark suite.
Wed 20 Jul
15:30 - 16:45: Research Track - Session 3 at Auditorium Loyola Chair(s): Colin GordonDrexel University | ||||||||||||||||||||||||||||||||||||||||||
| 15:30 - 15:55 Talk | Carl Friedrich Bolz-TereickKing's College London , Darya MelicherCarnegie Mellon University, Laurence TrattKing's College London Link to publication DOI Pre-print Media Attached | |||||||||||||||||||||||||||||||||||||||||
| 15:55 - 16:20 Talk | Link to publication DOI Pre-print | |||||||||||||||||||||||||||||||||||||||||
| 16:20 - 16:45 Talk | Janwillem SwalensVrije Universiteit Brussel, Joeri De KosterVrije Universiteit Brussel, Wolfgang De MeuterVrije Universiteit Brussel Link to publication DOI Pre-print Media Attached | |||||||||||||||||||||||||||||||||||||||||