Hirzel M.Andrade, H.Gedik, B.Jacques-Silva, R.Khandekar, R.Kumar, V.Mendell, M.Nasgaard, H.Schneider S.Soule´, R.Wu, K. L.2019-02-012019-02-012013-05-170018-8646http://hdl.handle.net/11693/48728The IBM Streams Processing Language (SPL) is the programming language for IBM InfoSphere® Streams, a platform for analyzing Big Data in motion. By “Big Data in motion,” we mean continuous data streams at high data-transfer rates. InfoSphere Streams processes such data with both high throughput and short response times. To meet these performance demands, it deploys each application on a cluster of commodity servers. SPL abstracts away the complexity of the distributed system, instead exposing a simple graph-of-operators view to the user. SPL has several innovations relative to prior streaming languages. For performance and code reuse, SPL provides a code-generation interface to C++ and Java®. To facilitate writing well-structured and concise applications, SPL provides higher-order composite operators that modularize stream sub-graphs. Finally, to enable static checking while exposing optimization opportunities, SPL provides a strong type system and user-defined operator models. This paper provides a language overview, describes the implementation including optimizations such as fusion, and explains the rationale behind the language design.EnglishData handlingInformation managementOptimizationBatch production systemsGeneratorsSyntacticsJavaData processingInformation processingArticle10.1147/JRD.2013.22435350018-8646