Tag: JSON

Business data often exhibits hierarchical relationships. For example, an order contains date, customer, and order details, with order details further containing price, quantity and product, and product encompassing name and category. JSON’s nestable structure is well-suited for describing such relationships. For example, here’s the order data: An order has both regular attributes “order ID, date, freight rate, weight” and nested attributes “order details, customer”. Order details, in turn, contain the nested attribute “product.” For this nestable structure, the common data organization method is a multi-layer nested table, where fields can be tables or records. When calculating, tables or records at

Some class libraries, such as sf.json\Gson\JsonPath, can parse JSON, but most of them have done little to further it. A few can handle the simplest conditional queries. Hardcoding is the only choice for handling almost all common computations if users choose to use them. Embedded databases have more computing abilities. Their complicated loading process, however, makes them only suited to tasks having very low real-time requirements. The power of SQL, designed based on two-dimensional structured data rather than intended for the multilevel JSON, is bound to be greatly reduced if it is used to compute JSON. There is the open-source