LotusSQL: SQL Engine for High-Performance Big Data Systems
In recent years, Apache Spark has become the de facto standard for big data processing. SparkSQL is a module offering support for relational analysis on Spark with Structured Query Language (SQL). SparkSQL provides convenient data processing interfaces. Despite its efficient optimizer, SparkSQL stil...
Saved in:
Main Authors: | Xiaohan Li, Bowen Yu, Guanyu Feng, Haojie Wang, Wenguang Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
Tsinghua University Press
2021-12-01
|
Series: | Big Data Mining and Analytics |
Subjects: | |
Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2021.9020009 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Performance Evaluation of NewSQL Databases in a Distributed Architecture
by: Zhiyao Zhang, et al.
Published: (2025-01-01) -
Supporting Efficient Family Joins for Big Data Tables via Multiple Freedom Family Index
by: Qiang Zhu, et al.
Published: (2025-01-01) -
Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data
by: Ankit Kumar, et al.
Published: (2023-12-01) -
Impacts of data consistency levels in cloud-based NoSQL for data-intensive applications
by: Saulo Ferreira, et al.
Published: (2024-11-01) -
τSQWRL: A TSQL2-Like Query Language for Temporal Ontologies Generated from JSON Big Data
by: Zouhaier Brahmia, et al.
Published: (2023-09-01)