LevelDB WIKI is a summary of what students have studied LevelDB through the 2022 LevelDB study hosted by the DKU System Software Lab. This document explains the background, structure, analysis, and how to analyze LevelDB.
You can conveniently read LevelDB WIKI as an e-book at the DKU System Software Lab website. If there are any errors or additions in the document content, please feel free to contribute through a Pull Request.
- Student:
- 1.WAL/Manifest: Isu Kim, Seyeon Park , Suhwan Shin
- 2.Memtable: Taegyu Cho , Zhu Yongjie
- 3.Compaction: Sangwoo Kang, Seoyoung Park, Zhao Guangxun
- 4.SSTable: Jongki Park, Sanghyun Cho
- 5.Bloom Filter: Hansu Kim
- 6.Cache: Seungwon Ha, Subin Hong
- Assistant: Min-guk Choi
- Professor: Jongmoo Choi, Seehwan Yoo
- Tuning Contest Guide
- Team SSTable Report
- Team Bloom Filter Report
- Team WAL/Manifest Report
- Team Memtable Report
- Team Cache Report
- Team Compaction Report
- LevelDB Document
- RocksDB Wiki
- Jongmoo Choi,『Key-Value Store: Database for Unstructured Bigdata』, 2021
- Fenggang Wu, 『LevelDB Introduction』, 2016
- rjl493456442, 『leveldb-handbook (CHS)』, 2022
- rsy56640, 『read_and_analyse_levelDB (CHS)』
- FOCUS,『LevelDB fully parsed (CHS)』
- bloomingTony, 『Research on Network and Storage Technology(CHS)』
- 木鸟杂记,『Talking about LevelDB data structure (CHS)』, 2021