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SPL: An Extensible Language for Distributed Stream Processing

Authors:

Scott Schneider,

Buğra GedikAuthors Info & Claims

ACM Transactions on Programming Languages and Systems (TOPLAS), Volume 39, Issue 1

Article No.: 5, Pages 1 - 39

https://doi.org/10.1145/3039207

Published: 06 March 2017 Publication History

Abstract

Big data is revolutionizing how all sectors of our economy do business, including telecommunication, transportation, medical, and finance. Big data comes in two flavors: data at rest and data in motion. Processing data in motion is stream processing. Stream processing for big data analytics often requires scale that can only be delivered by a distributed system, exploiting parallelism on many hosts and many cores. One such distributed stream processing system is IBM Streams. Early customer experience with IBM Streams uncovered that another core requirement is extensibility, since customers want to build high-performance domain-specific operators for use in their streaming applications. Based on these two core requirements of distribution and extensibility, we designed and implemented the Streams Processing Language (SPL). This article describes SPL with an emphasis on the language design, distributed runtime, and extensibility mechanism. SPL is now the gateway for the IBM Streams platform, used by our customers for stream processing in a broad range of application domains.

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Cited By

Tangwongsan KHirzel MSchneider S(2023)Out-of-Order Sliding-Window Aggregation with Efficient Bulk Evictions and InsertionsProceedings of the VLDB Endowment10.14778/3611479.361152116:11(3227-3239)Online publication date: 1-Jul-2023
https://dl.acm.org/doi/10.14778/3611479.3611521
Giallorenzo SMontesi FSafina LZingaro S(2022)Ephemeral data handling in microservices with TqueryPeerJ Computer Science10.7717/peerj-cs.10378(e1037)Online publication date: 22-Jul-2022
https://doi.org/10.7717/peerj-cs.1037
Cook SGarcia P(2022)Arbitrarily Parallelizable Code: A Model of Computation Evaluated on a Message-Passing Many-Core SystemComputers10.3390/computers1111016411:11(164)Online publication date: 18-Nov-2022
https://doi.org/10.3390/computers11110164
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Index Terms

SPL: An Extensible Language for Distributed Stream Processing
1. Software and its engineering
  1. Software notations and tools
    1. General programming languages
      1. Language types
        Data flow languages

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cover image ACM Transactions on Programming Languages and Systems

ACM Transactions on Programming Languages and Systems Volume 39, Issue 1

March 2017

156 pages

ISSN:0164-0925

EISSN:1558-4593

DOI:10.1145/3050768

Editor:
Andrew Myers
Cornell University, USA

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Publication History

Published: 06 March 2017

Accepted: 01 September 2016

Revised: 01 July 2016

Received: 01 July 2014

Published in TOPLAS Volume 39, Issue 1

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Tangwongsan KHirzel MSchneider S(2023)Out-of-Order Sliding-Window Aggregation with Efficient Bulk Evictions and InsertionsProceedings of the VLDB Endowment10.14778/3611479.361152116:11(3227-3239)Online publication date: 1-Jul-2023
https://dl.acm.org/doi/10.14778/3611479.3611521
Giallorenzo SMontesi FSafina LZingaro S(2022)Ephemeral data handling in microservices with TqueryPeerJ Computer Science10.7717/peerj-cs.10378(e1037)Online publication date: 22-Jul-2022
https://doi.org/10.7717/peerj-cs.1037
Cook SGarcia P(2022)Arbitrarily Parallelizable Code: A Model of Computation Evaluated on a Message-Passing Many-Core SystemComputers10.3390/computers1111016411:11(164)Online publication date: 18-Nov-2022
https://doi.org/10.3390/computers11110164
Balouek-Thomert DCaron ELefevre LParashar M(2022)Towards a Methodology for Building Dynamic Urgent Applications on Continuum Computing Platforms2022 First Combined International Workshop on Interactive Urgent Supercomputing (CIW-IUS)10.1109/CIW-IUS56691.2022.00009(1-6)Online publication date: Nov-2022
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Alur RHilliard PIves ZKallas KMamouras KNiksic FStanford CTannen VXue ALibkin LPichler RGuagliardo P(2021)Synchronization SchemasProceedings of the 40th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems10.1145/3452021.3458317(1-18)Online publication date: 20-Jun-2021
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Ferrando APapacchini F(2021)StreamB: A Declarative Language for Automatically Processing Data Streams in Abstract Environments for Agent PlatformsEngineering Multi-Agent Systems10.1007/978-3-030-97457-2_7(114-136)Online publication date: 3-May-2021
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Kahveci BGedik B(2020)JokerJournal of Parallel and Distributed Computing10.1016/j.jpdc.2019.10.012137:C(205-223)Online publication date: 1-Mar-2020
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Sakr SRabl THirzel MCarbone PStrohbach M(2019)Dagstuhl Seminar on Big Stream ProcessingACM SIGMOD Record10.1145/3316416.331642647:3(36-39)Online publication date: 27-Feb-2019
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Hirzel MSoulé RGedik BSchneider S(2019)Stream Query OptimizationEncyclopedia of Big Data Technologies10.1007/978-3-319-77525-8_261(1607-1615)Online publication date: 20-Feb-2019
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Hirzel MBaudart G(2019)Stream Processing Languages and AbstractionsEncyclopedia of Big Data Technologies10.1007/978-3-319-77525-8_260(1600-1607)Online publication date: 20-Feb-2019
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