Experiences with JSON and XML Transformations - World Wide Web ...
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Experiences with JSON and XML Transformations - World Wide Web ...
Oct 20, 2011 - [2] http://tools.ietf.org/html/draft-rsalz-jsonx-00. [3] http://code.google.com/p/jaql/wiki/Builtin_funct
Experiences with JSON and XML Transformations IBM Submission to W3C Workshop on > Armonk
erences to the JavaScript objects that correspond to the
NY
JSON. Concretely, JSON object members and array items
4080
are mapped to XML elements and simple values are mapped to textual content of the containing element.
The second priority is to "gracefully degrade" the friendliness of the conversion as needed in order to preserve all information in the JSON. This also has the side effect of enabling round-trip conversion of the XML back into JSON:
JSON >Armonk NY 4080
boolean value true is distinct from the string "true". So to be able to round-trip to and from JSON with full fidelity, the mapping needs to store meta>
XML supports namespaces and qualified names that do not have an equivalent in JSON.
XML supports document order and allows mixed content.
XML supports a richer set of data types than JSON (e.g.,
"children" :
data/time, binary types).
[ "This book is ",
{ "isbn": "15115115" },
{ "emph" : "bold" }
It is still possible to define a generic, round-trippable mapping
] } } ] } }
from XML to JSON. Here is a set of rules that can be used to provide such a mapping: (1) All elements are mapped as JSON objects with its qualified name as a field. (2) Attributes of that element are included as an attribute object inside that element. (3) Children of that element are included as an array that allows preservation of the original order of the element's children.
Comparison of Mapping Approaches Mapping approaches #1 and #2 are suitable for scenarios where data exists in JSON and needs to be mapped to XML. Mapping approaches #3 and #4 are suitable for scenarios where data exists in XML and needs to be mapped to JSON. Note that it is extremely difficult, if not impossible, to have a single mapping approach that can handle both arbitrary XML and arbitrary JSON. Approach #1 should be used when the highest priority is to make the resulting XML easy to consume by existing XML tools and programming models; approach #2 should be used when the priority is round-trippable conversions, where the intermediary XML is not accessed directly by XML applications.
Similarly, approach #3 is more suitable when the highest priority is to make the resulting JSON easily consumable, for example by JavaScript of User Interface developers; use approach #4 when the priority is not JSON consumption, but the ability of round-trippable conversions.
Conclusion As applications become more distributed, in particular as enterprise (or back-end) systems need to be accessed by growing numbers of types of clients, (often mobile, often with limited resources,) the need to map between the “natural” data formats of these two environments is becoming increasingly important. We have identified several of the characteristics important to these mappings. Depending on the requirements of the particular use-case, one of the approaches we describe would be a better fit then the alternatives. The industry can probably benefit from more study of this area; developers can certainly benefit from guidelines and/or specifications from the World Wild Web Consortium.