arXiv:1512.03207cs.PL
Making an Embedded DBMS JIT-friendly
Abstract
While database management systems (DBMSs) are highly optimized, interactions across the boundary between the programming language (PL) and the DBMS are costly, even for in-process embedded DBMSs. In this paper, we show that programs that interact with the popular 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 virtual machine (VM) - called SQPyte - with the PyPy VM. SQPyte does not compromise stand-alone SQL performance and is 2.2% faster than SQLite on the widely used TPC-H benchmark suite.
Posting this mainly for the "fused VM" idea that I have seen floating around here: Having the language and the systems it talks to fused by a JIT that eliminates the communication overhead; which is something that (does?|can?|could?|will?) happen in this case. This is in the…
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