textql
cq
textql | cq | |
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15 | 2 | |
9,030 | 167 | |
- | - | |
3.7 | 0.0 | |
6 months ago | over 4 years ago | |
Go | Shell | |
MIT License | GNU General Public License v3.0 only |
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textql
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Jaq – A jq clone focused on correctness, speed, and simplicity
I like textql [0] better for this use case, as it's simpler in my mind.
[0] https://github.com/dinedal/textql
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Can SQL be used without an RDBMS?
Primarily, you are right. SQL is for working with structured data and that largely covers RDBs. However, there are tools (like textql) that allow you to query CSV files and the effort works with most other text files that have some kind of structure.
- Textql: Execute SQL against structured text like CSV or TSV
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Show HN: ClickHouse-local – a small tool for serverless data analytics
As the author of textql ( https://github.com/dinedal/textql ) - thanks for the shoutout!
Looks great, I love more options in the space for CLI based data analysis tools! Fantastic work!
- Using Commandline To Process CSV files
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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.
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Q – Run SQL Directly on CSV or TSV Files
Reminds me of the textQL extension that's available in Asciidoc.
Point it to an external CSV file, enable TextQL, and bam, there's your query returned as a table. Handy for parts lists, inventory, that kind of crap.
https://github.com/dinedal/textql
https://gist.github.com/mojavelinux/8856117
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Beginner interested in learning SQL. Have a few question that I wasn’t able to find on google.
Through more magic, you COULD of course use stuff like Spark, or easier with programs like TextQL, sq, OctoSQL.
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textql VS trdsql - a user suggested alternative
2 projects | 25 Jun 2022
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Xlite: Query Excel, Open Document spreadsheets (.ods) as SQLite virtual tables
Somewhat-kinda related, the textql extension for Asciidoctor is so dang useful it should be in core.
https://gist.github.com/mojavelinux/8856117
I use this as a "centralized parts repository" for big ol' maintenance manuals. Refresh from PDM/PLM/LSA/Whatever. Rebuild for new parts data.
Built on TextQL, natch
https://github.com/dinedal/textql
cq
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SQLite Is Dynamically Typed (2020)
It seems beneficial for my case.
I have a light wrapper around SQLite called cq[1], to make querying CSVs with SQL more convenient. The point of the tool is to facilitate making ad-hoc, one-off queries on CSV data. CSVs don't specify the types of their columns, and they're either text or numeric. Having to be explicit on what the columns are would be a downside for me. Many CSVs have a ton of columns and I often care only about a few columns for one particular query I'll write and run once and never again.
I've fallen into the trap[2] where imported columns compare alphabetically despite them being numbers. I've been casting in my queries and was considering adding argument syntax for specifying the types of certain columns, but now that I see this, I think the behavior on specifying everything as NUMERIC is more desirable. It's more like Excel/LibreOfficeCalc, where you can just use numbers and they behave like numbers without having to be super-explicit.
I do very much agree that it's not desirable design for the DB of an app. There type-safety is more desirable.
[1] https://github.com/jolmg/cq
[2] https://news.ycombinator.com/item?id=28071615
- Show HN: Work with CSV files using SQL. For data scientists and engineers
What are some alternatives?
q - q - Run SQL directly on delimited files and multi-file sqlite databases
datablox - A distributed, typed, data column
go-duckdb - go-duckdb provides a database/sql driver for the DuckDB database engine.
otj-pg-embedded - Java embedded PostgreSQL component for testing
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
superintendent - Write SQL on CSV files
dsq - Commandline tool for running SQL queries against JSON, CSV, Excel, Parquet, and more.
csvs-to-sqlite - Convert CSV files into a SQLite database
brackit - Query processor with proven optimizations, ready to use for your JSON store to query semi-structured data with JSONiq. Can also be used as an ad-hoc in-memory query processor.
sqlite-utils - Python CLI utility and library for manipulating SQLite databases