csvq
fx
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csvq
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Fx – Terminal JSON Viewer
sure can do, if you already use that shell [1], but personally I like specific tools for specific jobs such as jq [2], fx, csvq [3] etc, there's value in decoupling shells from utils (modularity, speed, innovation etc).
[1] I don't but tempted to try, like its data-types concept
[2] https://jqlang.github.io/jq/
[3] https://github.com/mithrandie/csvq
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Tool to interact with CSV
csvq
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Can SQL be used without an RDBMS?
There is a way of running SQL-like queries against CSV files.
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Yq is a portable yq: command-line YAML, JSON, XML, CSV and properties processor
Lately I have had to do a lot of flat file analysis and tools along these lines have been a godsend. Will check this out.
My go to lately has been csvq (https://mithrandie.github.io/csvq/). Really nice to be able run complicated selects right over a CSV file with no setup at all.
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Wie fusioniert man CSV tables?
csvq (https://mithrandie.github.io/csvq/)
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Tool to explore big data sets
I usually do this with awk, my largest target files being half a TB in size for a project last year (and far too large to hold entirely in RAM). There are some other utilities like csvq and csvsql both of which let you write SQL-style queries against CSV files, but I'm not sure how they perform on large files. There's a nice list of CSV manipulation tools too if any of those jog your memory.
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sqly - execute SQL against CSV / JSON with shell
Apparently, there were many who thought the same thing; Tools to execute SQL against CSV were trdsql, q, csvq, TextQL. They were highly functional, hoewver, had many options and no input completion. I found it just a little difficult to use.
- One-liner for running queries against CSV files with SQLite
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Most efficient way to query .CSV files for Mac?
Please check out this tool https://github.com/mithrandie/csvq
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Looking for: library to turn SQL (or abstracted) to code & execute against custom backend (slice of structs)
If you are looking to query nondb data with sql statements then you may want to check something like https://github.com/mithrandie/csvq (SQL for csv).
fx
- Bash/Zsh autocomplete for JSON fields
- Fx 32.0, now with YAML support too
- Fx JSON viewer now supports YAML
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Jaq – A jq clone focused on correctness, speed, and simplicity
There's also this awesome tool to make JSON interactively navigable in the terminal:
https://fx.wtf
- Fx 31.0.0 Release
- FLaNK Stack Weekly for 30 Oct 2023
- jq 1.7
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Modern Linux Tools vs. Unix Classics: Which Would I Choose?
Using awk/sed to parse json seems to be using the wrong tool for the job.
As an alternative to jq with easier to remember syntax, see https://fx.wtf/
Recent discussion: https://news.ycombinator.com/item?id=37567009
- Fx – Terminal JSON Viewer
- fx – terminal JSON viewer
What are some alternatives?
querycsv - QueryCSV enables you to load CSV files and manipulate them using SQL queries then after you finish you can export the new values to a CSV file
jless - jless is a command-line JSON viewer designed for reading, exploring, and searching through JSON data.
q - q - Run SQL directly on delimited files and multi-file sqlite databases
jiq - jid on jq - interactive JSON query tool using jq expressions
yq - yq is a portable command-line YAML, JSON, XML, CSV, TOML and properties processor
jid - json incremental digger
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
rq - Record Query - A tool for doing record analysis and transformation
miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
kubectl-jq - Kubectl plugin that works like "kubectl get" but runs everything through a JQ program you provide
duckdb - DuckDB is an in-process SQL OLAP Database Management System
ngs - Next Generation Shell (NGS)