On 17 Jun 2017, at 19:29, Igor Tandetnik wrote: > For the first three (or any fixed N) columns, yes. But I thought you wanted a > view that somehow automatically becomes wider or narrower as rows are > inserted or deleted in the underlying table. I don't believe such a thing is > possible.
That's right, the query has to be build fitting the structure. > So you already know the answer to your question, then? What else would you > like assistance with? Well, the question for me is, which approach will be faster? A table with (entity, value) and a query like I posted: select rec_id , max(case when col_id = "col-1" then value end) col1 , max(case when col_id = "col-2" then value end) col2 , max(case when col_id = "col-3" then value end) col3 from products where col1 = "ABC" group by rec_id or using the JSON1 extension and building a query like: select rec_id , json_extract(json_value,"$.col1") as col1 from json_products , json_extract(json_value,"$.col2") as col2 from json_products from products, json_each(col1) where json_each.value = "ABC" The JSON data might be 20.000 records each JSON object/array containing 5 - 50 fields. Are there are any benchmarks available? -- Robert M. Münch, CEO M: +41 79 65 11 49 6 Saphirion AG smarter | better | faster http://www.saphirion.com http://www.nlpp.ch
Description: OpenPGP digital signature
_______________________________________________ sqlite-users mailing list email@example.com http://mailinglists.sqlite.org/cgi-bin/mailman/listinfo/sqlite-users