Paper Info
Title
Build your own SQL-on-Hadoop Query Engine: A Report on a Term Project in a Master-level Database Course
Abstract
This is a report on a course taught at OTH Regensburg in the summer term of 2018. The students in this course built their own SQL-on-Hadoop engine as a term project in just 8 weeks. miniHive is written in Python and compiles SQL queries into MapReduce workflows. These are then executed on Hadoop. miniHive performs generic query optimizations (selection and projection pushdown, or cost-based join reordering), as well as Map- Reduce-specific optimizations. The course was taught in English, using a flipped classroom model. The course material was mainly compiled from third-party teaching videos. This report describes the course setup, the miniHive milestones, and gives a short review of the most successful student projects.
Year
DOI
Venue
2019
10.1145/3377330.3377336
ACM SIGMOD Record
Field
DocType
Volume
SQL,Computer science,Database
Journal
48
Issue
ISSN
Citations 
2
0163-5808
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
Stefanie Scherzinger120920.82