rb
textql
| rb | textql | |
|---|---|---|
| 3 | 15 | |
| 1,488 | 9,030 | |
| - | - | |
| 0.0 | 3.7 | |
| about 1 year ago | 7 months ago | |
| Ruby | Go | |
| MIT License | 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.
rb
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Zq: An Easier (and Faster) Alternative to Jq
I like using `jq` to create line-delimited JSON and then using a language I know well (Node) to process it after that point. I find `jq '.[] | select(.location=="Stockholm")'` less readable than something like `nq --filter '({location}) => location === "Stockholm"'` because I'm much more used to Node syntax.
- https://github.com/thisredone/rb is a widely used ruby version of this idea
- https://github.com/KelWill/nq#readme is something similar that I wrote for my own use
- rb: Turns Ruby into a versatile command line utility
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My latest tutorial, on using Ruby from the command line.
You might be interested by this little script https://github.com/thisredone/rb
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
What are some alternatives?
zed - A novel data lake based on super-structured data
q - q - Run SQL directly on delimited files and multi-file sqlite databases
wsjq - Whitespace interpreter and debugger in jq
go-duckdb - go-duckdb provides a database/sql driver for the DuckDB database engine.
jp - Command line interface to JMESPath - http://jmespath.org
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
jid - json incremental digger
cq - Query CSVs using SQL
nq - sed "s/jq .key/nq '({key}) => key'/"
dsq - Commandline tool for running SQL queries against JSON, CSV, Excel, Parquet, and more.
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.