Question 1

How does jc compare to jq for parsing command output?

Accepted Answer

jc is designed to convert unstructured command output into JSON, while jq is for querying and transforming existing JSON. They are complementary: jc structures the data, and jq can filter it, as shown in the dig example with piping to jq.

Question 2

How to parse a custom command that isn't in jc's parser list?

Accepted Answer

You can write a parser plugin in Python using the provided templates and place it in the jcparsers directory. This requires Python programming skills and is documented in the parser plugins section.

Question 3

Does jc work on Windows?

Accepted Answer

Yes, jc has parsers for Windows commands like `ipconfig` and `systeminfo`, and it can be installed via pip or binaries. However, many parsers are Unix-specific, so compatibility varies, and warnings may need suppression with `-q`.

Question 4

How to handle errors in jc streaming parsers?

Accepted Answer

Use the `-qq` option to ignore parsing errors, which adds a `_jc_meta` object with success status and error details. This prevents pipeline breaks, as described in the streaming parsers section.

Question 5

Can jc parse real-time data from commands like top?

Accepted Answer

Yes, jc has streaming parsers like `--top-s` that output JSON Lines as data is received, enabling real-time processing. However, unbuffered output (`-u`) may be needed to reduce latency, with trade-offs in speed.

Question 6

What's the performance impact of using jc?

Accepted Answer

jc adds parsing overhead, which can affect latency in pipelines. Streaming parsers optimize memory but may slow down with unbuffered output, and batch processing benefits from slicing options to skip lines.

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