miller
yq
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miller | yq | |
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63 | 66 | |
8,542 | 10,684 | |
- | - | |
9.1 | 9.2 | |
6 days ago | 7 days ago | |
Go | Go | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
miller
- Qsv: Efficient CSV CLI Toolkit
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jq 1.7 Released
jq and miller[1] are essential parts of my toolbelt, right up there with awk and vim.
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Perl first commit: a “replacement” for Awk and sed
> This works really well if your problem can be solved in one or two liners.
My personal comfort threshold is around the 100-line mark. It's even possible to write maintainable shell scripts up to 500 lines, but it mostly depends on the problem you're trying to solve, and the discipline of the programmer to follow best practices (use sane defaults, ShellCheck, etc.).
> It go bad very quickly when, say, you have two CSV files and want to join them the sql-way.
In that case we're talking about structured data, and, yeah, Perl or Python would be easier to work with. That said, depending on the complexity of the CSV, you can still go a long way with plain Bash with IFS/read(1) or tr(1) to split CSV columns. This wouldn't be very robust, but there are tools that handle CSV specifically[1], which can be composed in a shell script just fine.
So it's always a balancing act of being productive quickly with a shell script, or reaching out for a programming language once the tools aren't a good fit, or maintenance becomes an issue.
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GQL: A new SQL like query language for .git files written in Rust
That said, you may be interested in Miller (https://github.com/johnkerl/miller) which provides similar capabilities for CSV, JSON, and XML files. It doesn't use a SQL grammar, but that's just the proverbial lipstick on the thing. I'm not the author, but I have used it and I see some parallels in use cases at the very least.
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Any cli utility to create ascii/org mode tables?
worth giving Miller a shot
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I wrote this iCalendar (.ics) command-line utility to turn common calendar exports into more broadly compatible CSV files.
CSV utilities (still haven't pick a favorite one...): https://github.com/harelba/q https://github.com/BurntSushi/xsv https://github.com/wireservice/csvkit https://github.com/johnkerl/miller
- Miller: Like Awk, sed, cut, join, and sort for CSV, TSV, and tabular JSON
- Nushell.sh ls – where size > 10mb – –sort-by modified
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Tool to interact with CSV
Came here to recommend miller!
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.
What are some alternatives?
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
visidata - A terminal spreadsheet multitool for discovering and arranging data
xsv - A fast CSV command line toolkit written in Rust.
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
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.
csvtk - A cross-platform, efficient and practical CSV/TSV toolkit in Golang
yaml.nvim - 🍒 YAML toolkit for Neovim users
csvq - SQL-like query language for csv
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.
jmespath.py - JMESPath is a query language for JSON.