DBEDU Series For Database Education

An integrated practicing platform enhancing the learning experiences in database related courses

NEURON

Learn query execution plans generated by RDBMS based on natural language descriptions.

DBinsight

Visually reveal details from SQL statements to execution plans.

LANTERN

Boredom-conscious natural language description generation of query execution plans.

MOCHA

A Tool for Visualizing Impact of Operator Choices in Query Execution Plans for Database Education.

ARENA

Learn database optimization by comparing query execution plan and alternative plans.

SQLSheet

Learn Data Manipulation Language(DML) by scoring SQL.

# 📘NEURON | 📇DBinsight | 📰LANTERN | 💬MOCHA | ⚓️ARENA | 🚀SQLSheet[*]

# [*]: Only availible inside XD campus

ABOUT US

DBEDU presented by Prof. Hui Li (opens new window) AND His Group in Xidian University

Our Collaborators in DBEDU: Prof. Sourav S Bhowmick (opens new window) (NTU) AND ZNBase (opens new window) (Inspur)

Supported DBMSs

This platform is currently compatible with the following DBMSs (may vary across subsystems):

The support for the followings are coming soon:

Team members

Current members: Hu Wang (master), Ying Rong (master), Baochao Xu (master), Ruohan Zhang (undergraduate), Zhuoyang Li (undergraduate), Shenghong Wang (undergraduate), Zerui Gu (undergraduate), Junjie Chen (undergraduate), Pengqi Gu (undergraduate)

Alumni: Weiguo Wang (Alibaba), Peng Chen (Huawei)

Publications

Liu et al. NEURON: Query Execution Plan Meets Natural Language Processing For Augmenting DB Education. In ACM SIGMOD, 2019. PDF (opens new window) video (opens new window)
Wang et al. Towards Enhancing Database Education: Natural Language Generation Meets Query Execution Plans. In ACM SIGMOD, 2021. PDF (opens new window) video (opens new window)
Chen et al. LANTERN: Boredom-conscious Natural Language Description Generation of Query Execution Plans for Database Education. In ACM SIGMOD, 2022. PDF (opens new window) video (opens new window)
Jess et al. MOCHA: A Tool for Visualizing Impact of Operator Choices in Query Execution Plans for Database Education. In VLDB, 2022. PDF (opens new window) video (opens new window)
Rong et al. DBinsight: A Tool for Interactively Understanding the Query Processing Pipeline in RDBMSs. In CIKM, 2022. PDF (opens new window) video (opens new window)
Sourav S Bhowmick and Hui Li. Towards Technology-Enabled Learning of Relational Query Processing. In IEEE Data Eng. Bull. 45(3), 2022. PDF (opens new window)
Wang et al. ARENA: Alternative Relational Query Plan Exploration for Database Education. In ACM SIGMOD, 2023. PDF (opens new window)video (opens new window)