基于弹性搜索的异构多表联查方法

Heterogeneous multi-table joint search method based on elastic search

弹性搜索技术作为性能优越的海量数据检索技术被广泛应用到各类数据分析场景中,文中提出一种基于弹性搜索的多表联查方法,在弹性搜索技术基础上面向交互式分析需求,利用采样、散列相结合的思路实现海量异构多表的秒级联查。实验表明,在海量数据的背景下,该算法的查询效率明显优于现有的基于弹性搜索的多表联查技术。

As a massive data retrieval technology with superior performance,elastic search technology is widely used in various data analysis scenarios.A multi-table joint search method based on elastic search is proposed in this paper,which faces interactive analysis needs based on elastic search technology.The idea of combining sampling and hashing is used to realize the second cascade check of massive heterogeneous multi-meters.Experiments show that in the context of massive data,the query efficiency of this algorithm is significantly better than the existing multi-table joint query technology based on elastic search.