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Embedded domain specific language

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'''Embedded Domain Specific Language''' means that you embed a [http://en.wikipedia.org/wiki/Domain_specific_language Domain specific language] in a language like Haskell.
 
'''Embedded Domain Specific Language''' means that you embed a [http://en.wikipedia.org/wiki/Domain_specific_language Domain specific language] in a language like Haskell.
 
E.g. using the [http://cryp.to/funcmp/ Functional MetaPost library] you can write Haskell expressions, which are then translated to MetaPost, MetaPost is run on the generated code and the result of MetaPost can be post-processed in Haskell.
 
E.g. using the [http://cryp.to/funcmp/ Functional MetaPost library] you can write Haskell expressions, which are then translated to MetaPost, MetaPost is run on the generated code and the result of MetaPost can be post-processed in Haskell.
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== Degree of embedding ==
 
== Degree of embedding ==
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* Shallow embedding: All Haskell operations immediately translate to the target language. E.g. the Haskell expression <hask>a+b</hask> is translated to a <hask>String</hask> like <hask>"a + b"</hask> containing that target language expression.
 
* Shallow embedding: All Haskell operations immediately translate to the target language. E.g. the Haskell expression <hask>a+b</hask> is translated to a <hask>String</hask> like <hask>"a + b"</hask> containing that target language expression.
 
* Deep embedding: Haskell operations only build an interim Haskell data structure that reflects the expression tree. E.g. the Haskell expression <hask>a+b</hask> is translated to the Haskell data structure <hask>Add (Var "a") (Var "b")</hask>. This structure allows transformations like optimizations before translating to the target language.
 
* Deep embedding: Haskell operations only build an interim Haskell data structure that reflects the expression tree. E.g. the Haskell expression <hask>a+b</hask> is translated to the Haskell data structure <hask>Add (Var "a") (Var "b")</hask>. This structure allows transformations like optimizations before translating to the target language.
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== Discussion of common problems ==
 
== Discussion of common problems ==
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* Tom Lokhorst [http://tom.lokhorst.eu/2010/02/awesomeprelude-presentation-video AwesomePrelude presentation (video)]
 
* Tom Lokhorst [http://tom.lokhorst.eu/2010/02/awesomeprelude-presentation-video AwesomePrelude presentation (video)]
 
* Leandro Lisboa Penz [http://lpenz.github.com/articles/hedsl-sharedexpenses/ Haskell eDSL Tutorial - Shared expenses]
 
* Leandro Lisboa Penz [http://lpenz.github.com/articles/hedsl-sharedexpenses/ Haskell eDSL Tutorial - Shared expenses]
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== Blog articles ==
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* [http://donsbot.wordpress.com/2007/03/10/practical-haskell-shell-scripting-with-error-handling-and-privilege-separation/ Practical Haskell: shell scripting with error handling and privilege separation]
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[[Category:Glossary]]
 
[[Category:Glossary]]

Revision as of 20:48, 7 February 2012

Embedded Domain Specific Language means that you embed a Domain specific language in a language like Haskell. E.g. using the Functional MetaPost library you can write Haskell expressions, which are then translated to MetaPost, MetaPost is run on the generated code and the result of MetaPost can be post-processed in Haskell.


1 Degree of embedding

There are two major degrees of embedding:

  • Shallow embedding: All Haskell operations immediately translate to the target language. E.g. the Haskell expression
    a+b
    is translated to a
    String
    like
    "a + b"
    containing that target language expression.
  • Deep embedding: Haskell operations only build an interim Haskell data structure that reflects the expression tree. E.g. the Haskell expression
    a+b
    is translated to the Haskell data structure
    Add (Var "a") (Var "b")
    . This structure allows transformations like optimizations before translating to the target language.


2 Discussion of common problems

Sharing and recursion are common problems when implementing DSLs. Often some kind of observable sharing is requested that requires a deep embedding.


3 Blog articles