machine learning

ALEX: An Updatable Adaptive Learned Index

Database administrators construct secondary indexes on data tables to accelerate query processing in relational database management systems (RDBMSs). These indexes are built on top of the most frequently queried columns according to the data …

ALEX

ALEX is a new class of learned indexes which addresses issues that arise when implementing dynamic and updatable learned indexes.

ALEX - An Updatable Learned Index

Designing Succinct Secondary Indexes by Exploiting Column Correlations

Designing Succinct Secondary Indexing Mechanism by Exploiting Column Correlations

Database administrators construct secondary indexes on data tables to accelerate query processing in relational database management systems (RDBMSs). These indexes are built on top of the most frequently queried columns according to the data …

Hermit

Hermit is a succinct secondary indexing mechanism for modern RDBMSs. It judiciously leverages the rich soft functional dependencies hidden among columns to prune out redundant structures for indexed key access.

HERMIT in action: Succinct secondary indexing mechanism via correlation exploration

Database administrators construct secondary indexes on data tables to accelerate query processing in relational database management systems (RDBMSs). These indexes are built on top of the most frequently queried columns according to the data …