dosPl

Dospl is a term used in computing to denote a domain-specific programming language and runtime environment intended for scalable data processing. It is not tied to a single project or organization and has appeared in various discussions as a conceptual framework rather than a formal standard.

Design goals typically attributed to dospl include data-oriented design, concise stream-processing syntax, and efficient parallel execution across multi-core and distributed platforms. Proponents describe a compact set of primitives for filtering, transforming, joining, and windowing data streams, with optimizations for locality and memory management.

Implementation and syntax vary by project; there is no universal specification. Some proposals emphasize declarative pipelines, while others favor a minimal core language with extensible libraries. Interoperability with general-purpose languages and data stores has been a common topic of discussion.

Use cases cited in educational and theoretical contexts include real-time analytics, IoT sensor data processing, and large-scale event stream processing. The term is primarily used in academic papers, instructional materials, and discussion forums to illustrate design choices in domain-specific languages and runtime systems.