activity
20112023
most citedNeo: A Learned Query Optimizer

382 citations · 1.8k across the 59 of their papers we have counts for

collaborators

63 papers

cs.DB2023★ 15 cited

Extract-Transform-Load for Video Streams

Ferdinand Kossmann, Ziniu Wu, Eugenie Lai +4

Social media, self-driving cars, and traffic cameras produce video streams at large scales and cheap cost. However, storing and querying video at such scales is prohibitively expen…

cs.DB2023

Parallel External Sorting of ASCII Records Using Learned Models

Ani Kristo, Tim Kraska

External sorting is at the core of many operations in large-scale database systems, such as ordering and aggregation queries for large result sets, building indexes, sort-merge joi…

cs.DB2022★ 4 cited

FactorJoin: A New Cardinality Estimation Framework for Join Queries

Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh +2

Cardinality estimation is one of the most fundamental and challenging problems in query optimization. Neither classical nor learning-based methods yield satisfactory performance wh…

cs.DB2022

LSI: A Learned Secondary Index Structure

Andreas Kipf, Dominik Horn, Pascal Pfeil +2

Learned index structures have been shown to achieve favorable lookup performance and space consumption compared to their traditional counterparts such as B-trees. However, most lea…

cs.DB2021★ 7 cited

Bounding the Last Mile: Efficient Learned String Indexing

Benjamin Spector, Andreas Kipf, Kapil Vaidya +3

We introduce the RadixStringSpline (RSS) learned index structure for efficiently indexing strings. RSS is a tree of radix splines each indexing a fixed number of bytes. RSS approac…

cs.DB2021

The Case for Learned In-Memory Joins

Ibrahim Sabek, Tim Kraska

In-memory join is an essential operator in any database engine. It has been extensively investigated in the database literature. In this paper, we study whether exploiting the CDF-…