SparkSQL+: Next-generation Query Planning over Spark

Binyang Dai, Qichen Wang, K. Yi
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Abstract

We will demonstrate SparkSQL+, a SQL processing engine built on top of Spark. Unlike the vanilla SparkSQL that uses classical query plans, SparkSQL+ adopts some of the recently developed new query plans, including generalized hypertree decompositions(GHD), worst-case optimal join (WCOJ) algorithms, and conjunctive queries with comparisons (CQC). SparkSQL+ also provides a platform for users to explore different query plans for a given query through a web-based interface, and compare their performance with classical query plans on the same Spark core.
SparkSQL+:基于Spark的下一代查询规划
我们将演示SparkSQL+,一个构建在Spark之上的SQL处理引擎。与使用经典查询计划的普通SparkSQL不同,SparkSQL+采用了一些最近开发的新查询计划,包括广义超树分解(GHD)、最坏情况最优连接(WCOJ)算法和带比较的联合查询(CQC)。SparkSQL+还为用户提供了一个平台,使用户可以通过基于web的界面探索给定查询的不同查询计划,并将其性能与相同Spark核心上的经典查询计划进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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