json-table

Jt reads UTF-8 encoded JSON forms from stdin and writes tab separated values (or CSV) to stdout. A simple stack-based programming language is used to extract values from the JSON input for printing.

INSTALL

Linux users can install prebuilt binaries from the release tarball:

sudo bash -c "cd /usr/local && wget -O - https://github.com/micha/json-table/raw/master/jt.tar.gz | tar xzvf -"

macOS users can install the latest release using Homebrew:

brew install json-table

Otherwise, build from source:

make && make test && sudo make install

NOTE: Previous versions installed the jt manual in the $PREFIX/man/ directory, which was incorrect. They are now installed into $PREFIX/share/man/. If you have installed jt previously you will probably want to delete those old man pages from the $PREFIX/man/ directory if you install a newer version.

OVERVIEW

Extracting information from deeply nested JSON data is difficult and unreliable with tools like sed and awk, and tools that are specially designed for manipulating JSON are cumbersome to use in the shell because they either return their results as JSON or introduce a new turing complete scripting language that needs to be quoted and constructed via string interpolation.

Jt provides only what is needed to extract data from nested JSON data structures and organize the data into a table. Tools like cut, paste, join, sort, uniq, etc. can be used to efficiently reduce the tabular data to produce the final result.

Features

Self contained — statically linked, has no build or runtime dependencies.
Fast, small memory footprint — efficiently process large JSON input.
Correct — parser does not accept invalid JSON (see tests for details).

Example 1

Suppose we have some JSON data in a log file that we want to process:

{"account":123,"amount":1.00}
{"account":789,"amount":2.00}
{"account":123,"amount":3.00}
{"account":123,"amount":4.00}
{"account":456,"amount":5.00}

First, use jt to extract interesting values to get us out of JSON-world and into a nice tab delimited, newline separated tabular format that is amenable to processing with shell utilities:

jt [ account % ] amount % <<EOT
{"account":123,"amount":1.00}
{"account":789,"amount":2.00}
{"account":123,"amount":3.00}
{"account":123,"amount":4.00}
{"account":456,"amount":5.00}
EOT

123     1.00
789     2.00
123     3.00
123     4.00
456     5.00

From here we can process the values in the shell. For example, to compute the sum of the amounts for account 123:

jt [ account % ] amount % <<EOT | awk -F\\t '$1 == 123 {print $2}' | paste -sd+ |bc
{"account":123,"amount":1.00}
{"account":789,"amount":2.00}
{"account":123,"amount":4.00}
{"account":123,"amount":4.00}
{"account":456,"amount":5.00}
EOT

9.00

Or to compute the amount frequencies for the account:

jt [ account % ] amount % <<EOT | awk -F\\t '$1 == 123 {print $2}' | sort | uniq -c
{"account":123,"amount":1.00}
{"account":789,"amount":2.00}
{"account":123,"amount":4.00}
{"account":123,"amount":4.00}
{"account":456,"amount":5.00}
EOT

      1 1.00
      2 4.00

Example 2

Jt can also extract data from nested JSON:

jt asgs [ name % ] instances [ id % ] [ az % ] [ state % ] <<EOT
{
  "asgs": [
    {
      "name": "test1",
      "instances": [
        {"id": "i-9fb75dc", "az": "us-east-1a", "state": "InService"},
        {"id": "i-95393ba", "az": "us-east-1a", "state": "Terminating:Wait"},
        {"id": "i-241fd0b", "az": "us-east-1b", "state": "InService"}
      ]
    },
    {
      "name": "test2",
      "instances": [
        {"id": "i-4bbab16", "az": "us-east-1a", "state": "InService"},
        {"id": "i-417c312", "az": "us-east-1b", "state": "InService"}
      ]
    }
  ]
}
EOT

test1   i-9fb75dc       us-east-1a      InService
test1   i-95393ba       us-east-1a      Terminating:Wait
test1   i-241fd0b       us-east-1b      InService
test2   i-4bbab16       us-east-1a      InService
test2   i-417c312       us-east-1b      InService

The resulting TSV data can be piped to awk, for example, to get just the instances in test1 that are in service:

jt asgs [ name % ] instances [ id % ] [ az % ] [ state % ] <<EOT \
  | awk -F\\t '$1 == "test1" && $4 == "InService" {print}'
{
  "asgs": [
    {
      "name": "test1",
      "instances": [
        {"id": "i-9fb75dc", "az": "us-east-1a", "state": "InService"},
        {"id": "i-95393ba", "az": "us-east-1a", "state": "Terminating:Wait"},
        {"id": "i-241fd0b", "az": "us-east-1b", "state": "InService"}
      ]
    },
    {
      "name": "test2",
      "instances": [
        {"id": "i-4bbab16", "az": "us-east-1a", "state": "InService"},
        {"id": "i-417c312", "az": "us-east-1b", "state": "InService"}
      ]
    }
  ]
}
EOT

test1   i-9fb75dc       us-east-1a      InService
test1   i-241fd0b       us-east-1b      InService

DOCUMENTATION

See the man page or man jt in your terminal.

EXAMPLES

The man page has many examples.

micha/json-table

micha

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