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Abstract
Database systems must make good use of the hardware for high performance. This is usually done by implementing their core components (storage engine, optimizer and query execution engine) in a low-level programming language (PL) such as C/C++ that can directly "talk to the hardware." But these PLs traditionally lacked high-level abstractions, lowering DBMS developer productivity. Some systems [18, 16, 10] then mix different PLs to balance productivity and performance. For example, Presto [16] and Spark [18] originally used Java but are now replacing their query engines with new ones [12, 1] built in C++ for higher performance. However, doing so brings such non-trivial challenges as interacting with different PL runtimes [1].
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