Some of the intermediate steps also have their uses depending on the needed flexibility. if they can part of your characters to trim. However, you possibly need to handle regex special characters like '.', '*' etc. Public void processCarData(String carFileName) +$/g, '') Ĭonst originalString = '#Hello World!#' Ĭonst trimmedString = trimCharacterFromStartAndEnd(originalString, '#') Ĭonsole.log(trimmedString) // Output: Hello World! How does a simple JSON schema file look like? Let us have a look: This adds the missing features to your JSON data documents I complained about: documentation and the possibility of automatic validation. You define a schema of your data documents in JSON and put it in separate files. JSON schema is a specification with accompanying libraries to fix the major issues about JSON. The main drawback is missing documentation and validation. Many languages treat it like nested dictionaries so understanding and working with JSON is easy. It is concise, human-readable, flexible and relatively simple. Despite having some syntactic quirks like its strictness about commas and forbidding of comments it is imho quite a good format. Nowadays, JSON is very widespread due to the popularity of JavaScript and perhaps the most used data exchange format across the internet. lacking validation compared to XML schema.In general they have 2 things in common compared to XML: All of them have their strengths and weaknesses and can fill similar roles as XML. Fortunately, since then a lot of time passed and alternatives like JSON, YAML and TOML arised. Working with XML always was more of a pain for me. XML as a text format is programming language agnostic and processable in practically all useful programming environments. Many libraries made working with such data documents possible (not really nice or a pleasure…) and humans could read them if need be. Several years ago XML was a quite popular document format – mostly due to its schema validation possibilities and clearly defined structure.
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