JQ + journald is great too, but 20 years of muscle memory writing bash / python / perl / awk / sql / ruby / JS / CSS selectors / xpath / xmlstarlet one-liners keep getting in my way. I keep long notes on both with examples of common tasks. I still dislike yaml (significant whitespace is my “ick” as the kids say) too much to learn whatever the equivalent is for that and still find CSV/TSV easier to slice and dice at will due to my own personal history.

I’m sure at this point that many ETL jobs in notebooks we run at $BigCo today could be reduced to jq expressions that run 100x faster and use 1/10th the memory.