lucene-grep VS jsoncrack.com

- Graal native images are real. These boast a far lower startup overhead and much lower steady state memory usage for simpler applications.

Probably my counterexample of choice is this: https://github.com/dainiusjocas/lucene-grep - it uses Lucene, probably the best search library (core of Elasticsearch, Solr, most websites), which is notoriously not simple code to implement grep-like functionality. In simple cases, they demonstrate a 30ms whole process runtime with no more than 32MB of RAM used (which looks suspiciously like a default).

The JVM is fast becoming a bit like Postgres... one of those 'second best at everything' pieces of tech.

Here goes: https://github.com/dainiusjocas/lucene-grep/issues/84

I realize some relatively obscure Finnish stemmer and Lucene with GraalVM aren't exactly a common use case. I did some testing and provided my use case. I certainly have much English language content to search with using lucene-grep. So, thank you for making it!

They are used in Editor component. Part 4 explains about Editor component.

useGraph has a lot going on, but we will look for setGraph as this is the side effect performed in setJson explained above.

In this post, let's understand the editor's Panes component used in jsoncrack.com.

Open src/pages/editor.tsx in a new tab and let’s take the top down approach. Let’s first look into the components used.

Visit GitHub

https://github.com/AykutSarac/jsoncrack.com As far as I can see they don't use any package to visualize, but I also need that package, if you find it please let me know!

looks a lot like JSON Crack with added support for additional formats and not being open-source

As we've seen in this article, there are many different tools available to help us work with JSON data. From visualizing and exploring data with JSON Crack, formatting it with JSON Formatter & Validator, converting it to other formats like CSV with Konklone.io, and validating it against a schema with JSON Schema — these tools can help make working with JSON data much easier and more efficient.