Micro Adaptivity in Vectorwise Bogdan Raducanuˇ Peter Boncz Actian CWI
[email protected] [email protected] ∗ Marcin Zukowski˙ Snowflake Computing marcin.zukowski@snowflakecomputing.com ABSTRACT re-arrange the shape of a query plan in reaction to its execu- Performance of query processing functions in a DBMS can tion so far, thereby enabling the system to correct mistakes be affected by many factors, including the hardware plat- in the cost model, or to e.g. adapt to changing selectivities, form, data distributions, predicate parameters, compilation join hit ratios or tuple arrival rates. Micro Adaptivity, intro- method, algorithmic variations and the interactions between duced here, is an orthogonal approach, taking adaptivity to these. Given that there are often different function imple- the micro level by making the low-level functions of a query mentations possible, there is a latent performance diversity executor more performance-robust. which represents both a threat to performance robustness Micro Adaptivity was conceived inside the Vectorwise sys- if ignored (as is usual now) and an opportunity to increase tem, a high performance analytical RDBMS developed by the performance if one would be able to use the best per- Actian Corp. [18]. The raw execution power of Vectorwise forming implementation in each situation. Micro Adaptivity, stems from its vectorized query executor, in which each op- proposed here, is a framework that keeps many alternative erator performs actions on vectors-at-a-time, rather than a function implementations (“flavors”) in a system. It uses a single tuple-at-a-time; where each vector is an array of (e.g.