Cascading (software) explained

Cascading
Latest Release Version:3.3.0
Latest Release Date:[1]
Latest Preview Version:4.0-wip-120
Latest Preview Date:[2]
Programming Language:Java
License:Apache License v2[3]

Cascading is a software abstraction layer for Apache Hadoop and Apache Flink. Cascading is used to create and execute complex data processing workflows on a Hadoop cluster using any JVM-based language (Java, JRuby, Clojure, etc.), hiding the underlying complexity of MapReduce jobs. It is open source and available under the Apache License. Commercial support is available from Driven, Inc.[4]

Cascading was originally authored by Chris Wensel, who later founded Concurrent, Inc, which has been re-branded as Driven.[5] Cascading is being actively developed by the community and a number of add-on modules are available.[6]

Architecture

To use Cascading, Apache Hadoop must also be installed, and the Hadoop job .jar must contain the Cascading .jars. Cascading consists of a data processing API, integration API, process planner and process scheduler.

Cascading leverages the scalability of Hadoop but abstracts standard data processing operations away from underlying map and reduce tasks.[7] Developers use Cascading to create a .jar file that describes the required processes. It follows a ‘source-pipe-sink’ paradigm, where data is captured from sources, follows reusable ‘pipes’ that perform data analysis processes, where the results are stored in output files or ‘sinks’. Pipes are created independent from the data they will process. Once tied to data sources and sinks, it is called a ‘flow’. These flows can be grouped into a ‘cascade’, and the process scheduler will ensure a given flow does not execute until all its dependencies are satisfied. Pipes and flows can be reused and reordered to support different business needs.[8]

Developers write the code in a JVM-based language and do not need to learn MapReduce. The resulting program can be regression tested and integrated with external applications like any other Java application.[9]

Cascading is most often used for ad targeting, log file analysis, bioinformatics, machine learning, predictive analytics, web content mining, and extract, transform and load (ETL) applications.[5]

Uses of Cascading

Cascading was cited as one of the top five most powerful Hadoop projects by SD Times in 2011,[10] as a major open source project relevant to bioinformatics[11] and is included in Hadoop: A Definitive Guide, by Tom White.[12] The project has also been cited in presentations, conference proceedings and Hadoop user group meetings as a useful tool for working with Hadoop[13] [14] [15] [16] and with Apache Spark[17]

Domain-Specific Languages Built on Cascading

External links

Notes and References

  1. Web site: Releases · Cascading/cascading . github.com . 2021-03-29.
  2. Web site: Releases · cwensel/cascading . github.com . 2021-03-29.
  3. Web site: cascading/LICENSE.txt at 3.3 · Cascading/cascading . github.com . 2021-03-29.
  4. Web site: Cascading and Driven | Support. Driven.
  5. Web site: Integrate.io - One Platform To Support Your Entire Data Journey. Integrate.io.
  6. Web site: Cascading modules . 2011-08-22 . https://web.archive.org/web/20110811082852/http://www.cascading.org/modules.html . 2011-08-11 . dead .
  7. http://codeascraft.etsy.com/2010/02/24/analyzing-etsys-data-with-hadoop-and-cascading/ Blog post by Etsy describing their use of Cascading with Hadoop
  8. Web site: Cascading User Guide. https://web.archive.org/web/20110206053054/http://www.cascading.org/1.2/userguide/pdf/userguide.pdf. dead. February 6, 2011.
  9. Web site: Hadoop Application Performance Management - DRIVEN's Features. Driven.
  10. News: Handy. Alex. 1 June 2011. The top five most powerful Hadoop projects. SD Times. 26 October 2013.
  11. News: Taylor. Ronald. 21 December 2010. An overview of the Hadoop/MapReduce/HBase framework and its current applications in bioinformatics. BioMed Central. Springer Science+Business Media. 26 October 2013.
  12. Book: White, Tom. Hadoop: The Definitive Guide. September 24, 2010. "O'Reilly Media, Inc.". 9781449396893 . Google Books.
  13. Web site: Getting Started on Hadoop. www.slideshare.net.
  14. Web site: Julio Guijarro, Steve Loughran and Paolo Castagna, "Hadoop and beyond," HP Labs, Bristol UK, 2008. . 2011-08-22 . https://web.archive.org/web/20111001095030/http://www.smartfrog.org/wiki/download/attachments/6193590/hadoop_and_beyond.pdf?version=1&modificationDate=1238073739000 . 2011-10-01 . dead .
  15. Web site: Flightcaster Presentation Hadoop. www.slideshare.net.
  16. Web site: NoSQL, Hadoop, Cascading June 2010. www.slideshare.net.
  17. Web site: Using Cascading to Build Data-centric Applications on Spark. 2014-05-07. Spark Summit 2014. 2016-03-25.
  18. Web site: CascadingMultitool on AWS.
  19. Web site: AWS Articles. Amazon Web Services, Inc..
  20. http://tech.backtype.com/ BackType blog
  21. Web site: FlightCaster.
  22. Web site: Ion Flux. https://web.archive.org/web/20111023203553/http://www.concurrentinc.com/casestudies/ion_flux. dead. October 23, 2011.
  23. http://blog.rapleaf.com/dev/2008/09/05/goodbye-mapreduce-hello-cascading/ RapLeaf Blog
  24. Web site: Razorfish Case Study. Amazon Web Services, Inc..
  25. Web site: PyCascading is no longer maintained. GitHub. 17 September 2021.
  26. Web site: Cascading.JRuby. August 8, 2018. GitHub.
  27. Web site: Cascalog. June 23, 2023. GitHub.
  28. Web site: Scalding. June 22, 2023. GitHub.

This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia article "Cascading (software)".

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