Technical Perspective: Revisiting Runtime Dynamic Optimization for Join Queries in Big Data Management Systems

Andreas Kipf
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Abstract

Query optimization is the process of finding an efficient query execution plan for a given SQL query. The runtime difference between a good and a bad plan can be tremendous. For example, in the case of TPC-H query 5, a query with 5 joins, the difference between the best and the worst plan is more than 10,000×. Therefore, it is vital to avoid bad plans. The dominating factor which differentiates a good from a bad plan is their join order and whether this join order avoids large intermediate results.
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技术视角:回顾大数据管理系统中连接查询的运行时动态优化
查询优化是为给定的SQL查询找到有效的查询执行计划的过程。一个好计划和一个坏计划之间的运行时差异可能是巨大的。例如,在TPC-H查询5的情况下,有5个连接的查询,最佳计划和最差计划之间的差异超过10,000倍。因此,避免糟糕的计划是至关重要的。区分一个好计划和一个坏计划的主要因素是它们的连接顺序,以及这个连接顺序是否避免了大的中间结果。
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