JSON.awk

There's a online website [0] for mawk 1.3.4 that accepts input data, command and shows output as you construct the command There's a handy github repo [1] with libraries, has one for csv. For json, see [2]. But yeah, having official support would be better. Or, use tools like xsv, jq, etc that are built for those formats. You can use match() function to get capture group contents. If you are using GNU awk, then the syntax is much easier with arrays instead of fiddling with substr and RSTART/RLENGTH. For examples, see my repo [3] [0] https://awk.js.org/ [1] https://github.com/e36freak/awk-libs [2] https://github.com/step-/JSON.awk [3] https://github.com/learnbyexample/learn_gnuawk/blob/master/g...

Performance depends on what toolset you’re using and how large your data set is. For small JSON documents, like a package.json file, jwalk is around ten times slower on my machine: 0.03 seconds, vs 0.004 seconds for jq. For larger documents, like the 1.5 MB GitHub API response tree.json [1] in the jwalk corpus, jwalk on mawk takes 0.37 seconds vs jq’s 0.11 seconds, but jwalk uses just 1.18 MB of memory, vs jq’s 5.81 MB. Other interpreted parsers don’t fare as well: JSON.awk [2], which only runs on gawk, takes 0.8 seconds and 27 MB to parse tree.json; JSON.sh [3] takes 201 (!) seconds and 43 (!) MB, and JSONPath.sh [4] takes 7.4 seconds and uses 1.7 MB. [1] https://raw.githubusercontent.com/shellbound/jwalk/master/te... [2] https://github.com/step-/JSON.awk [3] https://github.com/dominictarr/JSON.sh [4] https://github.com/mclarkson/JSONPat

https://github.com/dominictarr/JSON.sh https://github.com/step-/JSON.awk

Hope one of these helps with your problem: https://github.com/step-/JSON.awk https://github.com/dominictarr/JSON.sh