ViewDF: Declarative incremental view maintenance for streaming data

In this paper, we present ViewDF: a declarative framework for incremental maintenance of materialized views over append-only streaming data. The main component of the proposed framework is the View Delta Function (ViewDF), which declaratively specifies how to update a view when a new batch of data arrives. We describe and experimentally evaluate a prototype system based on this idea, which allows users to write ViewDFs directly and automatically translates selected classes of streaming queries into ViewDFs. Our approach generalizes existing work on incremental view maintenance and enables new optimizations for views that are common in stream analytics, including those with pattern matching and sliding window aggregation.