Stream schema: providing and exploiting static metadata for data stream processing

Schemas, and more generally metadata specifying structural and semantic constraints, are invaluable in data management. They facilitate conceptual design and enable checking of data consistency. They also play an important role in permitting semantic query optimization, that is, optimization and processing strategies that are often highly effective, but only correct for data conforming to a given schema. While the use of metadata is well-established in relation and XML databases, the same is not true for data streams. What work exists mostly focuses on the specification of dynamic information. In this paper, we consider the specification of static metadata for streams in a model called Stream Schema. We show how Stream Schema can be used to validate the consistency of streams. By explicitly modeling stream constraints, we show that stream queries can be simplified by removing predicates or subqueries that check for consistency. This can greatly enhance programmability of stream pr...

• Type: Conference
• Year: 2010
• Where: EDBT
• Authors: Peter M. Fischer, Kyumars Sheykh Esmaili, Renée J. Miller
• Keywords: Database, EDBT 2010, Semantic Query Optimization, Stream, Stream Schema