mssql-cli
q
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| mssql-cli | q | |
|---|---|---|
| 1 | 46 | |
| 1,340 | 10,122 | |
| 0.7% | - | |
| 0.6 | 2.1 | |
| 2 months ago | 5 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
mssql-cli
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Has anyone used MSSQL with Flask or any other python framework?
I don't think this answers your question but here goes. I've used mssql-cli on a CentOS dev server at work pretty extensively and I haven't seen any performance issues with the exception of slow SQL passed to through to the DB.
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
What are some alternatives?
sqltoolsservice - SQL Tools API service that provides SQL Server data management capabilities.
textql - Execute SQL against structured text like CSV or TSV
pysonDB - A Simple , ☁️ Lightweight , 💪 Efficent JSON based database for 🐍 Python. PysonDB-V2 has been released ⬇️
csvq - SQL-like query language for csv
pgcli - Postgres CLI with autocompletion and syntax highlighting
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
data-profiling - a set of scripts to pull meta data and data profiling metrics from relational database systems
InquirerPy - :snake: Python port of Inquirer.js (A collection of common interactive command-line user interfaces)
SQLMap - Automatic SQL injection and database takeover tool
xsv - A fast CSV command line toolkit written in Rust.
TinyDB - TinyDB is a lightweight document oriented database optimized for your happiness :)
ledger - Double-entry accounting system with a command-line reporting interface