JSONPath - “XPath for JSON” - is the first query language that comes to mind. What is the equivalent for JSON? JSONPath XML has XPath for querying and traversing XML nodes. This post focuses mainly only on the first use case, where you want to give your users a built-in option to process the output (but in fact, the two cases are similar). Yes, you can write your own logic using map, filter and reduce functions, but maybe there’s a better, more declarative way.
(Think JSON documents with arrays of objects nesting more arrays and objects).
PYTHON JSON QUERY LANGUAGE SOFTWARE
Your software takes JSON as input and you want to programmatically filter or manipulate the data in a uniform and reusable way.Your software outputs some JSON and you want to give the user an easy, standardized way to filter or manipulate the data (examples: APIs, SDKs, CLIs, online playgrounds).What if we could provide users with built-in support for such queries? The use case: Some document databases like MongoDB and PostgreSQL have their own query language that allows running complex queries on JSON, but that’s usually irrelevant when our JSON data is outside the of context of database records (although you can use MingoJS, a JavaScript implementation of MongoDB query language). There’s a real need to be able to run general processing queries on JSON documents - for filtering, shaping and transforming JSON data. Although it’s designed as a lightweight JavaScript-object-like format, JSON documents can get quite large especially if they contain deeply nested objects and arrays. JSON is probably the most common format nowadays for open data interchange.