文件名称：A Fast and High Throughput SQL Query System for Big Data
文件大小：296KB
文件格式：PDF
更新时间：2018-11-23 00:43:26
Big Data, NoSQL, HBase
Relational data query always plays an important role in data analysis. But how to scale out the traditional SQL query system is a challenging problem. In this paper, we introduce a fast, high throughput and scalable system to perform read-only SQL well with the advantage of NoSQL’s distributed architecture. We adopt HBase as the storage layer and design a distributed query engine (DQE) collaborating with it to perform SQL queries. Our system also contains distinctive index and cache mechanisms to accelerate query processing. Finally, we evaluate our system with real-world big data crawled from Sina Weibo and it achieves good performance under nineteen representative SQL queries.