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Lookups in objects are linear, as for ordered_json. Objects with 128 members or more now get a hash table after parsing (open addressing; the first of duplicate keys is kept, as for the linear search), so that operator[], at(), find(), contains(), count(), value(), and JSON pointers take constant time on average in them; the idea of switching to a hash table for large objects is Boost.JSON's. The parser notes such objects when it closes them (out of line, so that the parse loop only has a call for it), and the object node keeps the number of its table. Looking up each key of an object with 10,000 members: 59.8 ms -> 0.16 ms. Parsing (json_document::parse, best of 7, separate processes): most files within 1%; canada +5%, mesh.pretty +3%, citm +3%. Tests: objects with 127, 128, 129, and 10,000 members (escaped, empty, and duplicate keys, missing keys, comparisons), nested large objects, and documents reused with read(). Signed-off-by: Niels Lohmann <mail@nlohmann.me>
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