Online Aggregation

Aggregation in traditional database systems is performed in batch mode: a query is submitted, the system processes a large volume of data over a long period of time, and, eventually, the nal answer is returned. This archaic approach is frustrating to users and has been abandoned in most other areas of computing. In this paper we propose a new online aggregation interface that permits users to both observe the progress of their aggregation queries and control execution on the y. After outlining usability and performance requirements for a system supporting online aggregation, we present a suite of techniques that extend a database system to meet these requirements. These include methods for returning the output in random order, for providing control over the relative rate at which dierent aggregates are computed, and for computing running condence intervals. Finally, we report on an initial implementation of online aggregation in postgres.

• Type: Conference
• Year: 1997
• Where: SIGMOD
• Authors: Joseph M. Hellerstein, Peter J. Haas, Helen J. Wang
• Keywords: Database, Database System, Online Aggregation, Online Aggregation Interface, SIGMOD 1997