Cuneiform (programming language): Difference between revisions

Revision as of 16:51, 28 December 2020

Revision as of 03:44, 7 February 2021

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It is a [[Type system#STATIC|statically typed]] [[Functional programming|functional programming language]] promoting [[parallel computing]]. It features a versatile [[foreign function interface]] allowing users to integrate software from many external programming languages. At the organizational level Cuneiform provides facilities like [[Conditional (computer programming)|conditional branching]] and [[Recursion|general recursion]] making it [[Turing completeness|Turing-complete]]. In this, Cuneiform is the attempt to close the gap between scientific workflow systems like [[Apache Taverna|Taverna]], [[KNIME]], or [[Galaxy (computational biology)|Galaxy]] and large-scale data analysis programming models like [[MapReduce]] or [[Pig (programming tool)|Pig Latin]] while offering the generality of a functional programming language.

Cuneiform is implemented in distributed [[Erlang (programming language)|Erlang]]. If run in distributed mode it drives a [[POSIX]]-compliant distributed file system like [[Gluster]] or [[Ceph (software)#CephFS|Ceph]] (or a [[Filesystem in Userspace|FUSE]] integration of some other file system, e.g., [[Apache Hadoop#HDFS|HDFS]]). Alternatively, Cuneiform scripts can be executed on top of [[HTCondor]] or [[Apache Hadoop|Hadoop]].<ref>{{cite web|title=Scalable Multi-Language Data Analysis on Beam: The Cuneiform Experience by Jörgen Brandt|url=http://beta.erlangcentral.org/videos/scalable-multi-language-data-analysis-on-beam-the-cuneiform-experience-by-jorgen-brandt/#.WBLlE2hNzIU|website=Erlang Central|accessdateaccess-date=28 October 2016|archive-url=https://web.archive.org/web/20161002222350/http://beta.erlangcentral.org/videos/scalable-multi-language-data-analysis-on-beam-the-cuneiform-experience-by-jorgen-brandt/#.WBLlE2hNzIU|archive-date=2 October 2016|url-status=dead}}</ref><ref>

{{Cite journal

| last1 = Bux | first1 = Marc

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| url = http://www.di.fc.ul.pt/~bessani/publications/dmah15-bbc.pdf

}}

</ref><ref>{{cite web|title=Scalable Multi-Language Data Analysis on Beam: The Cuneiform Experience|url=http://www.erlang-factory.com/euc2016/jorgen-brandt|website=Erlang-factory.com|accessdateaccess-date=28 October 2016}}</ref>

Cuneiform is influenced by the work of Peter Kelly who proposes functional programming as a model for scientific workflow execution.<ref>{{cite journal

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==External software integration==

External tools and libraries (e.g., [[R (programming language)|R]] or [[Python (programming language)|Python]] libraries) are integrated via a [[foreign function interface]]. In this it resembles, e.g., [[KNIME]] which allows the use of external software through snippet nodes, or [[Apache Taverna|Taverna]] which offers [[BeanShell]] services for integrating [[Java (programming language)|Java]] software. By defining a task in a foreign language it is possible to use the API of an external tool or library. This way, tools can be integrated directly without the need of writing a wrapper or reimplementing the tool.<ref>{{cite web|title=A Functional Workflow Language Implementation in Erlang|url=http://www.erlang-factory.com/static/upload/media/1448992381831050cuneiformberlinefl2015.pdf|accessdateaccess-date=28 October 2016}}</ref>

Currently supported foreign programming languages are: