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If it beats YAJL 26X then that is certainly impressive. But I guess it depends on how often you need to just do a partial retrieval. Most of the stuff I've been dealing with requires that all data is retrieved and works well with DATA-INTO which involves a lot less code - particularly since Scott's code will generate a trial DS for me. I have yet to come across a situation where access to a specific node was needed.





On Jul 23, 2020, at 5:29 PM, Nathan Andelin <nandelin@xxxxxxxxx> wrote:

In regard to the report, consider the following JSON, which contains values
nested 7-levels deep. The "path" to a value may not be clear by just
viewing the JSON. The report shows values located at:

/glossary/GlossDiv/GlossList/GlossEntry/GlossDef/GlossSeeAlso

A program may then retrieve a value by copying and pasting a complete path:

value =
jsnGetVal('/glossary/GlossDiv/GlossList/GlossEntry/GlossDef/GlossSeeAlso');

This manner of retrieving values is extremely efficient. One of my
benchmarks shows a 26x performance improvement over YAJL, for example.

{

"glossary": {
"title": "example glossary",
"GlossDiv": {
"title": "S",
"GlossList": {
"GlossEntry": {
"ID": "SGML",
"SortAs": "SGML",
"GlossTerm": "Standard Generalized Markup Language",
"Acronym": "SGML",
"Abbrev": "ISO 8879:1986",
"GlossDef": {
"para": "A meta-markup language, used to
create markup languages such as DocBook.",
"GlossSeeAlso": ["GML", "XML"]
},
"GlossSee": "markup"
}
}
}
}
}
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