`jq` is a really powerful tool and `jaq` promises to be even more powerful. But, as a system administrator, most lot of the time that I'm dealing with json files, something that behaved more like grep would be sufficient.
`jq` is a really powerful tool and `jaq` promises to be even more powerful. But, as a system administrator, most lot of the time that I'm dealing with json files, something that behaved more like grep would be sufficient.
It converts your nested json into a line by line format which plays better with tools like `grep`
From the project's README:
▶ gron "https://api.github.com/repos/tomnomnom/gron/commits?per_page..." | fgrep "commit.author"
json[0].commit.author = {};
json[0].commit.author.date = "2016-07-02T10:51:21Z";
json[0].commit.author.email = "mail@tomnomnom.com";
json[0].commit.author.name = "Tom Hudson";
https://github.com/tomnomnom/gron
It was suggested to me in HN comments on an article I wrote about `jq`, and I have found myself using it a lot in my day to day workflow
It flattens the structure. And makes for easy diffing.
yq -o=props my-file.yaml
The idea is that you get awk/grep like commands for operating on structured data.
Since JSON is JavaScript Object Notation, then an obvious non-special-snowflake language for such expressions on the CLI is JavaScript: https://fx.wtf/getting-started#json-processing
It needs to justify moving to a completely different shell, but the way you deal with data in general does not restrict itself to manipulating json, but also the output of many commands, so you kinda have one unified piping interface for all these structured data manipulations, which I think is neat.
But jq's strength is its syntax - the difficulty is the semantics.
these little one-off unique syntaxes that i'm never going to properly learn are one of my favourite uses of chatGPT.