q
trdsql
| q | trdsql | |
|---|---|---|
| 46 | 9 | |
| 10,126 | 1,883 | |
| - | - | |
| 2.1 | 8.3 | |
| 13 days ago | 6 days ago | |
| Python | Go | |
| GNU General Public License v3.0 only | 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.
q
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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
- Segítség kérés Excel automatizáláshoz
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Show HN: ClickHouse-local – a small tool for serverless data analytics
I think they're talking about https://github.com/harelba/q, which is not very fast.
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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
Hi, author of q here.
Regarding the error you got, q currently does not autodetect headers, so you'd need to add -H as a flag in order to use the "country" column name. You're absolutely correct on failing-fast here - It's a bug which i'll fix.
In general regarding speed - q supports automatic caching of the CSV files (through the "-C readwrite" flag). Once it's activated, it will write the data into another file (with a .qsql extension), and will use it automatically in further queries in order to speed things considerably.
Effectively, the .qsql files are regular sqlite3 files (with some metadata), and q can be used to query them directly (or any regular sqlite3 file), including the ability to seamlessly join between multiple sqlite3 files.
http://harelba.github.io/q/#auto-caching-examples
- PostgreSQL alternative for Large amounts of data
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q VS trdsql - a user suggested alternative
2 projects | 25 Jun 2022
- One-liner for running queries against CSV files with SQLite
trdsql
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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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Run SQL on CSV, Parquet, JSON, Arrow, Unix Pipes and Google Sheet
Nice! Kinds of reminds me of trdsql
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What is the most user friendly way to upload CSV files into a SQL database?
trdsql(https://github.com/noborus/trdsql) is a tool that executes SQL for files such as CSV, but it can also be used by connecting to MySQL. Therefore, SQL such as CREATE TABLE table AS SELECT * FROM csvfile.csv can also be executed.
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textql VS trdsql - a user suggested alternative
2 projects | 25 Jun 2022
trdsql can execute SQL against CSV, LTSV, JSON and TBLN, and the database can also use SQLite,PostgreSQL and MySQL.
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q VS trdsql - a user suggested alternative
2 projects | 25 Jun 2022
trdsql can execute SQL against CSV, LTSV, JSON and TBLN, and the database can also use SQLite,PostgreSQL and MySQL.
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One-liner for running queries against CSV files with SQLite
Check out https://github.com/noborus/trdsql
- trdsql: CLI tool that can execute SQL queries on CSV, LTSV, JSON and TBLN
- Show HN: Trdsql – CLI tool that can execute SQL queries on CSV, LTSV, JSON
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If you want to run SQL queries on CSV files from the command line without installing/opening any DBMS software, use CSVKIT
The trdsql I made is feature-rich and fast (as a similar SQL tool).
What are some alternatives?
textql - Execute SQL against structured text like CSV or TSV
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
csvq - SQL-like query language for csv
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
gsheet - gsheet is a CLI tool (and Golang package) for piping csv data to and from Google Sheets
InquirerPy - :snake: Python port of Inquirer.js (A collection of common interactive command-line user interfaces)
grafana-sqlite-datasource - Grafana Plugin to enable SQLite as a Datasource
xsv - A fast CSV command line toolkit written in Rust.
usql - Universal command-line interface for SQL databases
ledger - Double-entry accounting system with a command-line reporting interface
json-watch - A small cli tool for monitoring JSON data for new items