4/2/2023 0 Comments Json query toolHere as an example in Node.js / JavaScript: const jmespath = require(‘jmespath’) const requestHandler = (req, res, next) => ]Īnd these are just a few of the JSON processing options available through JMESPath. Integrating JMESPath in our API handler code is quite simple, as the library has only one function (“search”). By giving the user the ability to specify a JMESPath query on the data, they end up saving time, bytes on the wire and lines of code doing post-processing, since the processing happens on the server and the response contains exactly what the user needs. By integrating JMESPath we can now provide our API, SDK or CLI users with a powerful, simple and standardized method to shape the JSON response returned from our service, without needing external tooling.Īs an example, we’ll assume our service is a public REST API. Thanks to libraries, adding JMESPath to our service’s code is very simple. Popularity comparison of JMESPath, JSONPath and JQ - in the JavaScript / npm worlds Power to the User This makes it hard to rely on JSONPath for many scenarios. And a bigger issue is that it does not have a tight specification, which means that there are numerous implementations of JSONPath out there that might give different results. The problem is that JSONPath’s syntax is not so intuitive, if we wish to provide an interface based on it to our users. One nice thing about it is that it allows traversing the entire JSON tree (accessing parent nodes, for example) and can output path locations in the tree as JSON-pointers (nested keys). It’s one of the earliest implementations of a JSON query language, and it gets the job done. 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).
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