json_to_paths
gron
json_to_paths | gron | |
---|---|---|
2 | 64 | |
66 | 13,520 | |
- | - | |
0.0 | 0.0 | |
about 3 years ago | 6 months ago | |
JSONiq | Go | |
- | MIT License |
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json_to_paths
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Interactive Examples for Learning Jq
as a list of jq arguments.
You can use it to make queries or keep track of a documents structure.
https://github.com/TomConlin/json_to_paths
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A Practical Introduction to jq (and more)
b) may care when the structure (but not the values) change.
so a jq utility[] that spits out all the jq paths for a json files helps in both cases.
[] https://github.com/TomConlin/json_to_paths
gron
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Frawk: An efficient Awk-like programming language. (2021)
gron (https://github.com/tomnomnom/gron) to transform it and query and then invert the transformation?
- Show HN: Flatito, grep for YAML and JSON files
- Gron: Make JSON greppable
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Make JSON Greppable
It buffers all of its output statements in memory before writing to stdout:
https://github.com/tomnomnom/gron/blob/master/main.go#L204
- Ask HN: What are some unpopular technologies you wish people knew more about?
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Jaq – A jq clone focused on correctness, speed, and simplicity
Have you tried `gron`?
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 = "[email protected]";
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
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Interactive Examples for Learning Jq
> So all I want is a tool to go from json => line oriented and I will do the rest with the vast library of experience I already have at transformations on the command line.*
The tool for that is likely https://github.com/tomnomnom/gron
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Modern Linux Tools vs. Unix Classics: Which Would I Choose?
If JQ is too much, see GRON &| Miller
gron transforms JSON into discrete assignments to make it easier to grep for what you want https://github.com/tomnomnom/gron
Miller is like awk, sed, cut, join, and sort for data formats such as CSV, TSV, JSON, JSON https://github.com/johnkerl/miller
- XML is better than YAML
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jq 1.7 Released
And jless [1] and gron [2].
This is the first I'm hearing of gron, but adding here for completeness sake. Meanwhile, JSON seems to be becoming a standard for CLI tools. Ideal scenario would be if every CLI tool has a --json flag or something similar, so that jc is not needed anymore.
[1] https://jless.io/
[2] https://github.com/tomnomnom/gron
What are some alternatives?
babashka - A Clojure babushka for the grey areas of Bash (native fast-starting Clojure scripting environment) [Moved to: https://github.com/babashka/babashka]
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
jello - CLI tool to filter JSON and JSON Lines data with Python syntax. (Similar to jq)
jfq - JSONata on the command line
PowerShell - PowerShell for every system!
xidel - Command line tool to download and extract data from HTML/XML pages or JSON-APIs, using CSS, XPath 3.0, XQuery 3.0, JSONiq or pattern matching. It can also create new or transformed XML/HTML/JSON documents.
grop - helper script for the `gron | grep | gron -u` workflow
pup - Parsing HTML at the command line
jc - CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.
JsonPath - Java JsonPath implementation
fx - Terminal JSON viewer & processor
miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON