yq
csvq
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yq
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Show HN: Flatito, grep for YAML and JSON files
What I often use to just get the full key paths is yq (https://github.com/mikefarah/yq), piping into grep when necessary
yq -o=props - K8s Service Meshes: The Bill Comes Due
- Using facts and the GitHub API in Ansible
- FLaNK 25 December 2023
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Command line tools I always install on Ubuntu servers
For more information about this command visit https://github.com/mikefarah/yq
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Runtime error with plugin that uses io.popen to run executable during plugin startup
I've been trying to install and config a plugin (papis.nvim) for a couple of days and am having issues with a function that uses io.popen to run yq to convert yaml files to json. I know my install of yq is fine- I can run yq -oj info.yaml from the command line with no issue and it produces the correct json output. I know the function can find the yq executable, but it returns nil. I've saved the error from the yq golang code: panic: runtime error: invalid memory address or nil pointer dereference
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Jaq – A jq clone focused on correctness, speed, and simplicity
- yq has no if-then-else https://github.com/mikefarah/yq/issues/95 which is a poor design (or omission) in my opinion
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HTTPie Desktop: cross-platform API testing client for humans
After which, I use openapi-generator to make a yaml output.
https://gist.github.com/freshteapot/3637e8d2b5ecdf01b7d25246...
- yq version 3.4.1 (Worth noting, the example uses an out of date yq, so a few modifictaions might be needed)
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jq 1.7
For those pining for a similar yaml query tool for working through acres of config: https://github.com/mikefarah/yq
jq is awesome and thanks to the new team for their recent efforts and energy, it massively appreciated.
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
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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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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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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).
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An Introduction to JQ
I just found https://github.com/mithrandie/csvq which is SQL for CSV files, which I thought was pretty cool.
What are some alternatives?
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
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
q - q - Run SQL directly on delimited files and multi-file sqlite databases
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
yaml.nvim - 🍒 YAML toolkit for Neovim users
oq - A performant, and portable jq wrapper to facilitate the consumption and output of formats other than JSON; using jq filters to transform the data.
dasel - Select, put and delete data from JSON, TOML, YAML, XML and CSV files with a single tool. Supports conversion between formats and can be used as a Go package.
miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
jmespath.py - JMESPath is a query language for JSON.
duckdb - DuckDB is an in-process SQL OLAP Database Management System
gsheet - gsheet is a CLI tool (and Golang package) for piping csv data to and from Google Sheets