ALEX: An Updatable Adaptive Learned Index

21 May 2019Jialin DingUmar Farooq MinhasJia YuChi WangJaeyoung DoYinan LiHantian ZhangBadrish ChandramouliJohannes GehrkeDonald KossmannDavid LometTim Kraska

Recent work on "learned indexes" has changed the way we look at the decades-old field of DBMS indexing. The key idea is that indexes can be thought of as "models" that predict the position of a key in a dataset... (read more)

PDF Abstract


No code implementations yet. Submit your code now


Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper

🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet