textql
fq
textql | fq | |
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15 | 45 | |
9,034 | 9,433 | |
- | - | |
3.7 | 9.4 | |
7 months ago | 2 days ago | |
Go | Go | |
MIT License | GNU General Public License v3.0 or later |
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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
fq
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How to Use JSON Path
I see, thanks for replying and no worries! yeap some of the "self-describing" formats like msgpack, cbor etc will because of how fq works have to be decoded into something more of a meta-msgpack etc.
About blobs, if you want to change how (possibly large) binaries are represented as JSON you can use the bits_format options, see https://github.com/wader/fq/blob/master/doc/usage.md#options, so fq -o bits_format=md5 torepr ...
I can highly recommend to learn jq, it's what makes fq really useful, and as a bonus you will learn jq in general! :)
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Reverse-engineering an encrypted IoT protocol
Hey! fq author here. I have a bunch of related tools in the readme https://github.com/wader/fq?tab=readme-ov-file#tools two suggestions: gnu poke and wireshark (can decode lots of more things then just network protocol)
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To a Man with `Jq`, Everything Looks Like JSON
Did someone say let's represent structured data as json? a bit of shameless plug: https://github.com/wader/fq :) It's using a fork of gojq btw!
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Jaq – A jq clone focused on correctness, speed, and simplicity
https://github.com/wader/fq has a REPL and can read JSON. Tip is to use "paste | from_json | repl" in a REPl to paste JSON into a sub-REPL, you can also use `` with fq which is a raw string literal
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jq 1.7 Released
I do lots of exploratory work in various structure data, in my case often debugging media filea via https://github.com/wader/fq, which mean doing lots of use-once-queries on the command line or REPL. In those cases jq line-friendly and composable syntax and generators really shine.
- fq (jq for binary formats) has a new v0.7.0 version
- FLaNK Stack 5-June-2023
- fq: jq for binary formats - tool, language and decoders for working with binary and text formats
- Fq: Jq for Binary Formats
- GitHub - wader/fq: jq for binary formats - tool, language and decoders for working with binary and text formats
What are some alternatives?
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]
go-duckdb - go-duckdb provides a database/sql driver for the DuckDB database engine.
jq - Command-line JSON processor
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
Kaitai Struct - Kaitai Struct: declarative language to generate binary data parsers in C++ / C# / Go / Java / JavaScript / Lua / Nim / Perl / PHP / Python / Ruby
cq - Query CSVs using SQL
HexFiend - A fast and clever hex editor for macOS
dsq - Commandline tool for running SQL queries against JSON, CSV, Excel, Parquet, and more.
nq - Unix command line queue utility
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.
miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON