JsonPath VS rust

For this example, we will use JSON files to encode the application's behavior and query it using JSONPath.

As shown above in order to access the root element of a JSON payload we can create variable (data) and assign the $ (using Json Path convention) in the expression tab.

You certainly could implement a recursive traversal, as /u/raevnos suggested, but it might be easier to use something like JsonPath to do it for you.

If you work with REST interfaces for any amount of time, you'll run into "json path". You can extract and manipulate the json received with an API call.

Look into JSONPath and its one Java implementation.

is anyone else using the https://github.com/json-path/JsonPath over the jq route?

I hope we standardize on some jq query language, like we have with a base set of SQL syntax

I use JsonPath for this. This fits my use case of picking apart JSON responses from APIs in Cucumber tests, which is based on textual descriptions and I'm not using Java classes for the mapping.

flatMap — A Map function (can be of Rich type if need be) that extracts data from the input event which is a stringified JSON object. Of the three flapMaps, two of them extract & parse the relevant data into a defined model (the data modelling is based on POJO — plain old java object classes.) using JsonPath, the third flapMap is a RichCoFlatMapFunction that determines after correlating events from the two sources whether it should be forwarded to the sink or not.

JSONPath confers pretty much the same concept onto JSON too with much the same syntax. There are JPath implementations for most languages now.

> https://github.com/json-path/JsonPath

> instead of choosing a certain numbered version of the random library (if I remember correctly) I let cargo download the latest version which had a completely different API.

Yeah, they didn't follow the instructions and got burned. I still think that multiple things went wrong simultaneously for that experience. I wonder if more prevalent uses of `#[doc(alias = "name")]` being leveraged by https://github.com/rust-lang/rust/pull/120730 (which now that I check only accounts for methods and not functions, I should get on that!) so that when changing APIs around people at least get a slightly better experience.

Almost fixed the compiler: https://github.com/rust-lang/rust/pull/123325

Rust: A secure, efficient, and modern programming language (omitting ten thousand words). You can simply follow the installation instructions provided on the official website.

Recently did something similar in Rust but for generating SVGs. We've adopted it for snapshot testing of cargo and rustc's output. Don't have a good PR handy for showing Github's rendering of changes in the SVG (text, side-by-side, swiping) but https://github.com/rust-lang/rust/pull/121877/files has newly added SVGs.

To see what is supported, see the screenshot in the docs: https://docs.rs/anstyle-svg/latest/anstyle_svg/

We strongly believe in Rust as a powerful language for building production-grade software, especially for systems like ours that run alongside Kubernetes.

The above Assert<{N % 2 == 1}> requires #![feature(generic_const_exprs)] and the nightly toolchain. See https://github.com/rust-lang/rust/issues/76560 for more info.

Another week, another dive into Rust. This time, we're delving into structs. Structs bear resemblance to interfaces in TypeScript, enabling the grouping of intricate data sets within an object, much like TypeScript/JavaScript. Rust also accommodates functions within these structs, offering a semblance of classes, albeit with distinctions. Let's delve into this topic.