Log Structured Merge Trees - ben stopford
It’s nearly a decade since Google released its ‘Big Table’ paper. One of the many cool aspects of that paper was the file organisation it uses. The approach is more generally known as the Log Structured Merge Tree, after this 1996 paper, although the algorithm described there differs quite significantly from most real-world implementations. LSM is now used in a number of products as the main file
Performance data for LevelDB, Berkley DB and BangDB for Random Operations - High Scalability -
This is a guest post by Sachin Sinha, Founder of Iqlect and developer of BangDB. The goal for the paper is to provide the performances data for following embedded databases under various scenarios for random operations such as write and read. The data is presented in graphical manner to make the data self explanatory to some extent. LevelDB:LevelDB is a fast key-value storage library written at Go
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MapR M7 技術概要
B-tree implementation for variable size keys
