Support for Schema Evolution in Data Stream Management Systems
James F. Terwilliger, Rafael J. Fernández-Moctezuma, Lois Delcambre, David Maier · Zenodo (CERN European Organization for Nuclear Research) · 2010
Abstract: Unlike Database Management Systems (DBMSs), Data Stream Management Systems (DSMSs) do not evaluate queries over static data sets — rather, they continuously produce result streams to standing queries, and often operate in a context where any interruption can lead to data loss. Support for schema evolution in such an environment is currently unaddressed. In this work we address evolution in DSMSs by introducing a new element to streams, called an accent, that precedes and describes an evolution. We characterize how a subset of commonly used query operators in DSMS act on and propagate accents with respect to three evolution primitives: Add Attribute, Drop Attribute, and Alter Data. Key Words: data streams, schema evolution