论文标题
查询者：快速分析的框架 - 意识到对肮脏数据的重复数据删除
QueryER: A Framework for Fast Analysis-Aware Deduplication over Dirty Data
论文作者
论文摘要
在这项工作中，我们探讨了直接在肮脏数据之上直接发出的复杂的SPJ查询的问题。我们介绍了Queryer，该框架将实体分辨率无缝整合到查询处理中。查询者通过将ER运算符编织到查询计划中执行分析 - 意识到重复数据删除。我们方法的实验评估表明，它适应了实际和合成数据集的工作量和尺度。
In this work, we explore the problem of correctly and efficiently answering complex SPJ queries issued directly on top of dirty data. We introduce QueryER, a framework that seamlessly integrates Entity Resolution into Query Processing. QueryER executes analysis-aware deduplication by weaving ER operators into the query plan. The experimental evaluation of our approach exhibits that it adapts to the workload and scales on both real and synthetic datasets.
