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csvq
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| unwee | csvq | |
|---|---|---|
| 2 | 11 | |
| 12 | 1,228 | |
| - | - | |
| 0.0 | 8.9 | |
| about 1 year ago | about 1 month ago | |
| Go | Go | |
| MIT License | MIT License |
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csvq
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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?
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
yq - yq is a portable command-line YAML, JSON, XML, CSV and properties processor
gsheet - gsheet is a CLI tool (and Golang package) for piping csv data to and from Google Sheets
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
q - q - Run SQL directly on delimited files and multi-file sqlite databases
duckdb - DuckDB is an in-process SQL OLAP Database Management System
miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
jq - Command-line JSON processor
awesome-cli-apps - 🖥 📊 🕹 🛠A curated list of command line apps
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.
jello - CLI tool to filter JSON and JSON Lines data with Python syntax. (Similar to jq)
xsv - A fast CSV command line toolkit written in Rust.